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Stefan Wermter
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- affiliation: University of Hamburg, Germany
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2020 – today
- 2024
- [j118]Jinpeng Mi
, Stefan Wermter
, Jianwei Zhang:
Adaptive knowledge distillation and integration for weakly supervised referring expression comprehension. Knowl. Based Syst. 286: 111437 (2024) - [j117]Anton Caesar, Ozan Özdemir, Cornelius Weber, Stefan Wermter
:
Enabling action crossmodality for a pretrained large language model. Nat. Lang. Process. J. 7: 100072 (2024) - [j116]Muhammad Burhan Hafez
, Stefan Wermter
:
Continual Robot Learning Using Self-Supervised Task Inference. IEEE Trans. Cogn. Dev. Syst. 16(3): 947-960 (2024) - [j115]Leyuan Qu
, Taihao Li
, Cornelius Weber
, Theresa Pekarek-Rosin
, Fuji Ren
, Stefan Wermter
:
Disentangling Prosody Representations With Unsupervised Speech Reconstruction. IEEE ACM Trans. Audio Speech Lang. Process. 32: 39-54 (2024) - [j114]Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter:
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. Trans. Mach. Learn. Res. 2024 (2024) - [j113]Leyuan Qu
, Cornelius Weber
, Stefan Wermter
:
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2772-2782 (2024) - [c271]Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. CLeaR 2024: 106-142 - [c270]Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter:
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. LREC/COLING 2024: 6144-6166 - [c269]Di Fu
, Fares Abawi
, Philipp Allgeuer
, Stefan Wermter
:
Human Impression of Humanoid Robots Mirroring Social Cues. HRI (Companion) 2024: 458-462 - [c268]Fares Abawi
, Philipp Allgeuer
, Di Fu
, Stefan Wermter
:
Wrapyfi: A Python Wrapper for Integrating Robots, Sensors, and Applications across Multiple Middleware. HRI 2024: 860-864 - [c267]Leyuan Qu, Wei Wang, Cornelius Weber, Pengcheng Yue, Taihao Li, Stefan Wermter:
Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer. ICASSP 2024: 10101-10105 - [i152]Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter
:
Causal State Distillation for Explainable Reinforcement Learning. CoRR abs/2401.00104 (2024) - [i151]Josua Spisak, Matthias Kerzel, Stefan Wermter
:
Robotic Imitation of Human Actions. CoRR abs/2401.08381 (2024) - [i150]Di Fu, Fares Abawi, Philipp Allgeuer, Stefan Wermter:
Human Impression of Humanoid Robots Mirroring Social Cues. CoRR abs/2401.12076 (2024) - [i149]Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Wenhao Lu, Stefan Wermter
:
Large Language Models for Orchestrating Bimanual Robots. CoRR abs/2404.02018 (2024) - [i148]Josua Spisak, Matthias Kerzel, Stefan Wermter
:
Diffusing in Someone Else's Shoes: Robotic Perspective Taking with Diffusion. CoRR abs/2404.07735 (2024) - [i147]Hassan Ali, Philipp Allgeuer, Stefan Wermter
:
Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task. CoRR abs/2404.08424 (2024) - [i146]Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter
:
Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents. CoRR abs/2404.08825 (2024) - [i145]Fares Abawi
, Di Fu, Stefan Wermter:
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models. CoRR abs/2405.02929 (2024) - [i144]Xufeng Zhao, Cornelius Weber, Stefan Wermter:
Agentic Skill Discovery. CoRR abs/2405.15019 (2024) - [i143]Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter:
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. CoRR abs/2406.09988 (2024) - [i142]Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter:
Mental Modeling of Reinforcement Learning Agents by Language Models. CoRR abs/2406.18505 (2024) - [i141]Philipp Allgeuer, Hassan Ali, Stefan Wermter:
When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. CoRR abs/2407.00518 (2024) - [i140]Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Stefan Wermter:
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation. CoRR abs/2407.13505 (2024) - 2023
- [j112]Ozan Özdemir
, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez
, Patrick Bruns, Stefan Wermter:
Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input. Appl. Artif. Intell. 37(1) (2023) - [j111]Matthias Kerzel, Philipp Allgeuer
, Erik Strahl
, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter
:
NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation. IEEE Access 11: 123531-123542 (2023) - [j110]Víctor Uc-Cetina
, Nicolás Navarro-Guerrero
, Anabel Martín-González, Cornelius Weber, Stefan Wermter
:
Survey on reinforcement learning for language processing. Artif. Intell. Rev. 56(2): 1543-1575 (2023) - [j109]Doreen Jirak, Stephan Tietz, Hassan Ali, Stefan Wermter
:
Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study. Cogn. Comput. 15(5): 1427-1439 (2023) - [j108]Hassan Ali
, Doreen Jirak, Stefan Wermter:
Snapture - a Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition. Cogn. Comput. 15(6): 2014-2033 (2023) - [j107]Fatai Sado
, Chu Kiong Loo
, Wei Shiung Liew
, Matthias Kerzel
, Stefan Wermter
:
Explainable Goal-driven Agents and Robots - A Comprehensive Review. ACM Comput. Surv. 55(10): 211:1-211:41 (2023) - [j106]Muhammad Burhan Hafez
, Tilman Immisch, Tom Weber, Stefan Wermter:
Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning. Frontiers Neurorobotics 17 (2023) - [j105]Hugo C. C. Carneiro, Cornelius Weber, Stefan Wermter
:
Whose emotion matters? Speaking activity localisation without prior knowledge. Neurocomputing 545: 126271 (2023) - [j104]Chihli Hung
, Stefan Wermter, Yu-Liang Chi, Chih-Fong Tsai:
An adaptive growing grid model for a non-stationary environment. Neurocomputing 550: 126405 (2023) - [j103]Di Fu
, Fares Abawi
, Hugo C. C. Carneiro, Matthias Kerzel, Ziwei Chen, Erik Strahl, Xun Liu
, Stefan Wermter
:
A Trained Humanoid Robot can Perform Human-Like Crossmodal Social Attention and Conflict Resolution. Int. J. Soc. Robotics 15(8): 1325-1340 (2023) - [j102]Finn Rietz
, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter
, Johannes A. Stork
:
Hierarchical goals contextualize local reward decomposition explanations. Neural Comput. Appl. 35(23): 16693-16704 (2023) - [j101]Leyuan Qu
, Cornelius Weber, Stefan Wermter
:
Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition. Neural Networks 161: 494-504 (2023) - [j100]Ozan Özdemir
, Matthias Kerzel
, Cornelius Weber
, Jae Hee Lee
, Stefan Wermter
:
Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning. IEEE Trans. Cogn. Dev. Syst. 15(4): 1812-1824 (2023) - [j99]Huajian Fang
, Dennis Becker
, Stefan Wermter
, Timo Gerkmann
:
Integrating Uncertainty Into Neural Network-Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1587-1600 (2023) - [c266]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. AAAI 2023: 6583-6592 - [c265]Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter:
Visually Grounded Continual Language Learning with Selective Specialization. EMNLP (Findings) 2023: 7037-7054 - [c264]Patrick Eickhoff, Matthias Möller
, Theresa Pekarek-Rosin
, Johannes Twiefel, Stefan Wermter:
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition. ICANN (7) 2023: 376-388 - [c263]Theresa Pekarek-Rosin
, Stefan Wermter:
Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition. ICANN (7) 2023: 489-500 - [c262]Huajian Fang, Niklas Wittmer, Johannes Twiefel, Stefan Wermter, Timo Gerkmann:
Partially Adaptive Multichannel Joint Reduction of Ego-Noise and Environmental Noise. ICASSP 2023: 1-5 - [c261]Daniel Speck, Theresa Pekarek-Rosin
, Matthias Kerzel, Stefan Wermter:
The Importance of Growing Up: Progressive Growing GANs for Image Inpainting. ICDL 2023: 294-299 - [c260]Wenhao Lu, Xufeng Zhao, Sven Magg, Martin Gromniak, Mengdi Li, Stefan Wermter:
A Closer Look at Reward Decomposition for High-Level Robotic Explanations. ICDL 2023: 429-436 - [c259]Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Internally Rewarded Reinforcement Learning. ICML 2023: 20556-20574 - [c258]Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Chat with the Environment: Interactive Multimodal Perception Using Large Language Models. IROS 2023: 3590-3596 - [c257]Mostafa Kotb, Cornelius Weber, Stefan Wermter:
Sample-Efficient Real-Time Planning with Curiosity Cross-Entropy Method and Contrastive Learning. IROS 2023: 9456-9463 - [c256]Di Fu, Fares Abawi, Stefan Wermter:
The Robot in the Room: Influence of Robot Facial Expressions and Gaze on Human-Human-Robot Collaboration. RO-MAN 2023: 85-91 - [c255]Dennis Becker, Diana Rueda, Felix Beese, Brenda Scarleth Gutierrez Torres, Myriem Lafdili, Kyra Ahrens, Di Fu, Erik Strahl, Tom Weber, Stefan Wermter:
The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation. RO-MAN 2023: 1689-1696 - [p2]Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter:
Neuro-Symbolic Spatio-Temporal Reasoning. Compendium of Neurosymbolic Artificial Intelligence 2023: 410-429 - [i139]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter
:
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. CoRR abs/2301.03353 (2023) - [i138]Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter
:
Internally Rewarded Reinforcement Learning. CoRR abs/2302.00270 (2023) - [i137]Fares Abawi
, Philipp Allgeuer, Di Fu, Stefan Wermter:
Wrapyfi: A Wrapper for Message-Oriented and Robotics Middleware. CoRR abs/2302.09648 (2023) - [i136]Leyuan Qu, Cornelius Weber, Stefan Wermter:
Emphasizing Unseen Words: New Vocabulary Acquisition for End-to-End Speech Recognition. CoRR abs/2302.09723 (2023) - [i135]Mostafa Kotb, Cornelius Weber, Stefan Wermter:
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning. CoRR abs/2303.03787 (2023) - [i134]Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Chat with the Environment: Interactive Multimodal Perception using Large Language Models. CoRR abs/2303.08268 (2023) - [i133]Di Fu, Fares Abawi
, Stefan Wermter:
The Robot in the Room: Influence of Robot Facial Expressions and Gaze on Human-Human-Robot Collaboration. CoRR abs/2303.14285 (2023) - [i132]Huajian Fang, Niklas Wittmer, Johannes Twiefel, Stefan Wermter, Timo Gerkmann:
Partially Adaptive Multichannel Joint Reduction of Ego-noise and Environmental Noise. CoRR abs/2303.15042 (2023) - [i131]Jonas Matthies, Muhammad Burhan Hafez, Mostafa Kotb, Stefan Wermter:
Model Predictive Control with Self-supervised Representation Learning. CoRR abs/2304.07219 (2023) - [i130]Wenhao Lu, Sven Magg, Xufeng Zhao, Martin Gromniak, Stefan Wermter:
A Closer Look at Reward Decomposition for High-Level Robotic Explanations. CoRR abs/2304.12958 (2023) - [i129]Martin Gromniak, Sven Magg, Stefan Wermter:
Neural Field Conditioning Strategies for 2D Semantic Segmentation. CoRR abs/2304.14371 (2023) - [i128]Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima
, Chu Kiong Loo, Hisao Ishibuchi, Stefan Wermter:
A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning. CoRR abs/2305.01507 (2023) - [i127]Muhammad Burhan Hafez, Tilman Immisch, Tom Weber, Stefan Wermter:
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning. CoRR abs/2305.02054 (2023) - [i126]Matthias Kerzel, Philipp Allgeuer, Erik Strahl, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter:
NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation. CoRR abs/2305.08528 (2023) - [i125]Huajian Fang, Dennis Becker, Stefan Wermter, Timo Gerkmann:
Integrating Uncertainty into Neural Network-based Speech Enhancement. CoRR abs/2305.08744 (2023) - [i124]Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter:
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion. CoRR abs/2306.13410 (2023) - [i123]Dennis Becker, Diana Rueda, Felix Beese, Brenda Scarleth Gutierrez Torres, Myriem Lafdili, Kyra Ahrens, Di Fu, Erik Strahl, Tom Weber, Stefan Wermter:
The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation. CoRR abs/2307.02924 (2023) - [i122]Theresa Pekarek-Rosin, Stefan Wermter:
Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition. CoRR abs/2307.07280 (2023) - [i121]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification. CoRR abs/2307.08471 (2023) - [i120]Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter:
CycleIK: Neuro-inspired Inverse Kinematics. CoRR abs/2307.11554 (2023) - [i119]Patrick Eickhoff, Matthias Möller, Theresa Pekarek-Rosin, Johannes Twiefel, Stefan Wermter:
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition. CoRR abs/2309.02145 (2023) - [i118]Muhammad Burhan Hafez, Stefan Wermter:
Continual Robot Learning using Self-Supervised Task Inference. CoRR abs/2309.04974 (2023) - [i117]Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter
:
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic. CoRR abs/2309.13339 (2023) - [i116]Jae Hee Lee, Sergio Lanza, Stefan Wermter:
From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks. CoRR abs/2310.11884 (2023) - [i115]Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter:
Visually Grounded Continual Language Learning with Selective Specialization. CoRR abs/2310.15571 (2023) - [i114]Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Stefan Wermter:
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models. CoRR abs/2311.02379 (2023) - [i113]Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee, Stefan Wermter:
Read Between the Layers: Leveraging Intra-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models. CoRR abs/2312.08888 (2023) - 2022
- [j98]Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter
:
Spatial relation learning in complementary scenarios with deep neural networks. Frontiers Neurorobotics 16 (2022) - [j97]Jianwei Zhang, Stefan Wermter
, Fuchun Sun, Changshui Zhang, Andreas K. Engel, Brigitte Röder, Xiaolan Fu
, Gui Xue:
Editorial: Cross-Modal Learning: Adaptivity, Prediction and Interaction. Frontiers Neurorobotics 16: 889911 (2022) - [j96]Nikhil Churamani, Pablo Barros
, Hatice Gunes, Stefan Wermter
:
Affect-Driven Learning of Robot Behaviour for Collaborative Human-Robot Interactions. Frontiers Robotics AI 9: 717193 (2022) - [j95]Nicolas Duczek, Matthias Kerzel, Philipp Allgeuer, Stefan Wermter
:
Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot. Frontiers Robotics AI 9 (2022) - [j94]Vadym Gryshchuk
, Cornelius Weber, Chu Kiong Loo, Stefan Wermter
:
Go ahead and do not forget: Modular lifelong learning from event-based data. Neurocomputing 500: 1063-1074 (2022) - [j93]Matthias Kerzel
, Jakob Ambsdorf
, Dennis Becker, Wenhao Lu, Erik Strahl, Josua Spisak, Connor Gaede, Tom Weber, Stefan Wermter
:
What's on Your Mind, NICO? Künstliche Intell. 36(3): 237-254 (2022) - [j92]Manfred Eppe
, Christian Gumbsch
, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz
, Stefan Wermter
:
Intelligent problem-solving as integrated hierarchical reinforcement learning. Nat. Mach. Intell. 4(1): 11-20 (2022) - [j91]Tobias Hinz
, Stefan Heinrich
, Stefan Wermter
:
Semantic Object Accuracy for Generative Text-to-Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1552-1565 (2022) - [j90]Pablo V. A. Barros
, Emilia I. Barakova
, Stefan Wermter
:
Adapting the Interplay Between Personalized and Generalized Affect Recognition Based on an Unsupervised Neural Framework. IEEE Trans. Affect. Comput. 13(3): 1349-1365 (2022) - [j89]Matthias Kerzel
, Fares Abawi
, Manfred Eppe, Stefan Wermter
:
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. IEEE Trans. Cogn. Dev. Syst. 14(4): 1331-1343 (2022) - [c254]Nima Rahrakhshan, Matthias Kerzel, Philipp Allgeuer, Nicolas Duczek, Stefan Wermter:
Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks. Humanoids 2022: 217-222 - [c253]Yuliia Lysa, Cornelius Weber, Dennis Becker, Stefan Wermter
:
Word-by-Word Generation of Visual Dialog Using Reinforcement Learning. ICANN (2) 2022: 123-135 - [c252]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee
, Stefan Wermter
:
Learning Flexible Translation Between Robot Actions and Language Descriptions. ICANN (2) 2022: 246-257 - [c251]Xiaowen Sun, Cornelius Weber, Matthias Kerzel, Tom Weber, Mengdi Li, Stefan Wermter
:
Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture. ICANN (2) 2022: 258-269 - [c250]Connor Gaede, Matthias Kerzel, Erik Strahl, Stefan Wermter
:
Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping. ICANN (1) 2022: 342-354 - [c249]Caspar Volquardsen, Jae Hee Lee
, Cornelius Weber, Stefan Wermter
:
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning. ICANN (3) 2022: 417-428 - [c248]Younes Raoui, Cornelius Weber, Stefan Wermter
:
NeoSLAM: Neural Object SLAM for Loop Closure and Navigation. ICANN (3) 2022: 443-455 - [c247]Huajian Fang, Tal Peer, Stefan Wermter
, Timo Gerkmann
:
Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. ICASSP 2022: 386-390 - [c246]Frank Röder, Manfred Eppe, Stefan Wermter
:
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics. ICDL 2022: 170-177 - [c245]Jae Hee Lee
, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter:
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. IJCAI 2022: 1039-1045 - [c244]Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning. STRL@IJCAI 2022 - [c243]Xufeng Zhao, Cornelius Weber, Muhammad Burhan Hafez
, Stefan Wermter:
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations. IROS 2022: 2512-2518 - [c242]Chandrakant Bothe, Stefan Wermter:
Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts. LREC 2022: 2395-2400 - [c241]Gerald Schwiebert, Cornelius Weber, Leyuan Qu, Henrique Siqueira, Stefan Wermter:
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning. LREC 2022: 6829-6836 - [c240]Jakob Ambsdorf
, Alina Munir, Yiyao Wei, Klaas Degkwitz, Harm Matthias Harms, Susanne Stannek, Kyra Ahrens, Dennis Becker, Erik Strahl, Tom Weber, Stefan Wermter:
Explain yourself! Effects of Explanations in Human-Robot Interaction. RO-MAN 2022: 393-400 - [c239]Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. WACV 2022: 3183-3192 - [e13]Fuchun Sun, Dewen Hu
, Stefan Wermter
, Lei Yang, Huaping Liu, Bin Fang:
Cognitive Systems and Information Processing - 6th International Conference, ICCSIP 2021, Suzhou, China, November 20-21, 2021, Revised Selected Papers. Communications in Computer and Information Science 1515, Springer 2022, ISBN 978-981-16-9246-8 [contents] - [i112]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
:
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning. CoRR abs/2201.06317 (2022) - [i111]Gerald Schwiebert, Cornelius Weber, Leyuan Qu, Henrique Siqueira, Stefan Wermter
:
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning. CoRR abs/2202.13403 (2022) - [i110]Huajian Fang, Tal Peer, Stefan Wermter, Timo Gerkmann:
Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. CoRR abs/2203.02288 (2022) - [i109]Frank Röder, Manfred Eppe, Stefan Wermter:
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics. CoRR abs/2204.04308 (2022) - [i108]Jakob Ambsdorf, Alina Munir, Yiyao Wei, Klaas Degkwitz, Harm Matthias Harms, Susanne Stannek, Kyra Ahrens, Dennis Becker, Erik Strahl, Tom Weber, Stefan Wermter:
Explain yourself! Effects of Explanations in Human-Robot Interaction. CoRR abs/2204.04501 (2022) - [i107]Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter:
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR abs/2205.02671 (2022) - [i106]Chandrakant Bothe, Stefan Wermter
:
Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts. CoRR abs/2205.02921 (2022) - [i105]Hassan Ali, Doreen Jirak, Stefan Wermter
:
Snapture - A Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition. CoRR abs/2205.15862 (2022) - [i104]Fares Abawi
, Tom Weber, Stefan Wermter:
GASP: Gated Attention For Saliency Prediction. CoRR abs/2206.04590 (2022) - [i103]Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR abs/2207.02624 (2022) - [i102]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter
:
Learning Flexible Translation between Robot Actions and Language Descriptions. CoRR abs/2207.07437 (2022) - [i101]Xufeng Zhao, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations. CoRR abs/2208.02680 (2022) - [i100]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. CoRR abs/2208.08731 (2022) - [i99]Di Fu, Fares Abawi
, Erik Strahl, Stefan Wermter:
Judging by the Look: The Impact of Robot Gaze Strategies on Human Cooperation. CoRR abs/2208.11647 (2022) - [i98]Nima Rahrakhshan, Matthias Kerzel, Philipp Allgeuer, Nicolas Duczek, Stefan Wermter:
Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks. CoRR abs/2210.07851 (2022) - [i97]Leyuan Qu, Wei Wang, Taihao Li, Cornelius Weber, Stefan Wermter
, Fuji Ren:
Data Augmentation with Unsupervised Speaking Style Transfer for Speech Emotion Recognition. CoRR abs/2211.08843 (2022) - [i96]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. CoRR abs/2211.12054 (2022) - [i95]Niclas Schroeter, Francisco Cruz, Stefan Wermter
:
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios. CoRR abs/2211.12930 (2022) - [i94]Hugo C. C. Carneiro, Cornelius Weber, Stefan Wermter:
Whose Emotion Matters? Speaker Detection without Prior Knowledge. CoRR abs/2211.15377 (2022) - [i93]Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter:
Neuro-Symbolic Spatio-Temporal Reasoning. CoRR abs/2211.15566 (2022) - [i92]Björn Plüster, Jakob Ambsdorf
, Lukas Braach, Jae Hee Lee, Stefan Wermter:
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations. CoRR abs/2212.04231 (2022) - [i91]Leyuan Qu, Taihao Li, Cornelius Weber, Theresa Pekarek-Rosin
, Fuji Ren, Stefan Wermter:
Disentangling Prosody Representations with Unsupervised Speech Reconstruction. CoRR abs/2212.06972 (2022) - 2021
- [j88]Wei Shiung Liew
, Chu Kiong Loo
, Stefan Wermter
:
Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles. IEEE Access 9: 61513-61531 (2021) - [j87]Aleksej Logacjov
, Matthias Kerzel, Stefan Wermter
:
Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot. Frontiers Neurorobotics 15: 669534 (2021) - [j86]Sebastian Zörner, Emy Arts
, Brenda Vasiljevic, Ankit Srivastava, Florian Schmalzl, Glareh Mir, Kavish Bhatia, Erik Strahl, Annika Peters, Tayfun Alpay, Stefan Wermter
:
An Immersive Investment Game to Study Human-Robot Trust. Frontiers Robotics AI 8: 644529 (2021) - [j85]Finn Rietz
, Alexander Sutherland, Suna Bensch
, Stefan Wermter
, Thomas Hellström:
WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments. Frontiers Robotics AI 8: 668057 (2021) - [j84]Antonio Andriella
, Henrique Siqueira, Di Fu, Sven Magg, Pablo V. A. Barros
, Stefan Wermter, Carme Torras
, Guillem Alenyà:
Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits. Int. J. Soc. Robotics 13(8): 2081-2102 (2021) - [j83]Manfred Eppe, Stefan Wermter
, Verena V. Hafner
, Yukie Nagai:
Developmental Robotics and its Role Towards Artificial General Intelligence. Künstliche Intell. 35(1): 5-7 (2021) - [j82]Phuong D. H. Nguyen
, Yasmin Kim Georgie, Ezgi Kayhan
, Manfred Eppe, Verena Vanessa Hafner
, Stefan Wermter:
Sensorimotor Representation Learning for an "Active Self" in Robots: A Model Survey. Künstliche Intell. 35(1): 9-35 (2021) - [j81]Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter
:
Solving visual object ambiguities when pointing: an unsupervised learning approach. Neural Comput. Appl. 33(7): 2297-2319 (2021) - [j80]Pablo V. A. Barros
, Stefan Wermter, Ognjen Rudovic, Hatice Gunes:
Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data. IEEE Trans. Affect. Comput. 12(3): 551-552 (2021) - [j79]Vasile Palade
, Stefan Wermter
, Ariel Ruiz-Garcia
, Antônio de Pádua Braga
, Clive Cheong Took:
Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health. IEEE Trans. Neural Networks Learn. Syst. 32(2): 464-465 (2021) - [c238]Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann:
Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary. ITG Conference on Speech Communication 2021: 1-5 - [c237]Björn Plüster, Cornelius Weber, Leyuan Qu, Stefan Wermter:
Hearing Faces: Target Speaker Text-to-Speech Synthesis from a Face. ASRU 2021: 757-764 - [c236]Vadym Gryshchuk
, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Lifelong Learning from Event-based Data. ESANN 2021 - [c235]Vincent Rolfs, Matthias Kerzel, Stefan Wermter:
Pruning Neural Networks with Supermasks. ESANN 2021 - [c234]Kyra Ahrens, Fares Abawi
, Stefan Wermter
:
DRILL: Dynamic Representations for Imbalanced Lifelong Learning. ICANN (2) 2021: 409-420 - [c233]Hugo C. C. Carneiro
, Cornelius Weber, Stefan Wermter
:
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. ICANN (1) 2021: 439-450 - [c232]Huajian Fang, Guillaume Carbajal, Stefan Wermter
, Timo Gerkmann
:
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. ICASSP 2021: 676-680 - [c231]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. ICCV 2021: 15796-15806 - [c230]Glareh Mir, Matthias Kerzel, Erik Strahl, Stefan Wermter
:
A Humanoid Robot Learning Audiovisual Classification By Active Exploration. ICDL 2021: 1-6 - [c229]Ozan Özdemir, Matthias Kerzel, Stefan Wermter
:
Embodied Language Learning with Paired Variational Autoencoders. ICDL 2021: 1-6 - [c228]Fares Abawi
, Tom Weber, Stefan Wermter
:
GASP: Gated Attention for Saliency Prediction. IJCAI 2021: 584-591 - [c227]Aaron Eisermann, Jae Hee Lee
, Cornelius Weber, Stefan Wermter:
Generalization in Multimodal Language Learning from Simulation. IJCNN 2021: 1-8 - [c226]Matthias Möller
, Johannes Twiefel, Cornelius Weber, Stefan Wermter:
Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems. IJCNN 2021: 1-8 - [c225]Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez
, Stefan Wermter:
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. IJCNN 2021: 1-8 - [c224]Christoper Wulur, Cornelius Weber, Stefan Wermter:
Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments. IJCNN 2021: 1-8 - [c223]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee
, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. IROS 2021: 2686-2692 - [c222]Muhammad Burhan Hafez
, Stefan Wermter:
Behavior Self-Organization Supports Task Inference for Continual Robot Learning. IROS 2021: 6739-6746 - [c221]Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter:
Improved Techniques for Training Single-Image GANs. WACV 2021: 1299-1308 - [e12]Igor Farkas
, Paolo Masulli
, Sebastian Otte
, Stefan Wermter
:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12891, Springer 2021, ISBN 978-3-030-86361-6 [contents] - [e11]Igor Farkas
, Paolo Masulli
, Sebastian Otte
, Stefan Wermter
:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12892, Springer 2021, ISBN 978-3-030-86339-5 [contents] - [e10]Igor Farkas
, Paolo Masulli
, Sebastian Otte
, Stefan Wermter
:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12893, Springer 2021, ISBN 978-3-030-86364-7 [contents] - [e9]Igor Farkas
, Paolo Masulli
, Sebastian Otte
, Stefan Wermter
:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12894, Springer 2021, ISBN 978-3-030-86379-1 [contents] - [e8]Igor Farkas
, Paolo Masulli
, Sebastian Otte
, Stefan Wermter
:
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12895, Springer 2021, ISBN 978-3-030-86382-1 [contents] - [i90]Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter
:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. CoRR abs/2102.03141 (2021) - [i89]Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez
, Stefan Wermter:
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. CoRR abs/2102.05599 (2021) - [i88]Huajian Fang, Guillaume Carbajal, Stefan Wermter
, Timo Gerkmann:
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. CoRR abs/2102.08706 (2021) - [i87]Nicolas Duczek, Matthias Kerzel, Stefan Wermter:
Continual Learning from Synthetic Data for a Humanoid Exercise Robot. CoRR abs/2102.10034 (2021) - [i86]Alexander Sutherland, Sven Magg, Cornelius Weber, Stefan Wermter:
Analyzing the Influence of Dataset Composition for Emotion Recognition. CoRR abs/2103.03700 (2021) - [i85]Alexander Sutherland, Sven Magg, Stefan Wermter:
Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations. CoRR abs/2103.03755 (2021) - [i84]Henrique Siqueira, Pablo V. A. Barros, Sven Magg, Stefan Wermter:
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions. CoRR abs/2103.03934 (2021) - [i83]Henrique Siqueira, Alexander Sutherland, Pablo V. A. Barros, Matthias Kerzel, Sven Magg, Stefan Wermter:
Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. CoRR abs/2103.03940 (2021) - [i82]Alexander Sutherland, Suna Bensch, Thomas Hellström, Sven Magg, Stefan Wermter:
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE). CoRR abs/2103.05815 (2021) - [i81]Henrique Siqueira, Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter:
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition. CoRR abs/2103.12362 (2021) - [i80]Sascha S. Griffiths, Tayfun Alpay, Alexander Sutherland, Matthias Kerzel, Manfred Eppe, Erik Strahl, Stefan Wermter:
Exercise with Social Robots: Companion or Coach? CoRR abs/2103.12940 (2021) - [i79]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. CoRR abs/2103.15365 (2021) - [i78]Víctor Uc-Cetina, Nicolás Navarro-Guerrero, Anabel Martín-González, Cornelius Weber, Stefan Wermter
:
Survey on reinforcement learning for language processing. CoRR abs/2104.05565 (2021) - [i77]Kyra Ahrens, Fares Abawi
, Stefan Wermter:
DRILL: Dynamic Representations for Imbalanced Lifelong Learning. CoRR abs/2105.08445 (2021) - [i76]Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter, Neal Y. Lii:
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning. CoRR abs/2107.00359 (2021) - [i75]Muhammad Burhan Hafez
, Stefan Wermter:
Behavior Self-Organization Supports Task Inference for Continual Robot Learning. CoRR abs/2107.04533 (2021) - [i74]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. CoRR abs/2107.12095 (2021) - [i73]Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Generalization in Multimodal Language Learning from Simulation. CoRR abs/2108.02319 (2021) - [i72]Hugo C. C. Carneiro, Cornelius Weber, Stefan Wermter:
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. CoRR abs/2109.00577 (2021) - [i71]Siqi Cao, Di Fu, Xu Yang, Pablo V. A. Barros, Stefan Wermter
, Xun Liu, Haiyan Wu:
How Can AI Recognize Pain and Express Empathy. CoRR abs/2110.04249 (2021) - [i70]Di Fu, Fares Abawi, Hugo C. C. Carneiro, Matthias Kerzel, Ziwei Chen, Erik Strahl, Xun Liu, Stefan Wermter
:
A trained humanoid robot can perform human-like crossmodal social attention conflict resolution. CoRR abs/2111.01906 (2021) - [i69]Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Lifelong Learning from Event-based Data. CoRR abs/2111.08458 (2021) - [i68]Leyuan Qu, Cornelius Weber, Stefan Wermter
:
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading. CoRR abs/2112.04748 (2021) - 2020
- [j78]Matthias Kerzel, Theresa Pekarek-Rosin
, Erik Strahl, Stefan Heinrich
, Stefan Wermter
:
Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans. Frontiers Neurorobotics 14: 28 (2020) - [j77]Stefan Heinrich
, Yuan Yao, Tobias Hinz, Zhiyuan Liu
, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter
:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. Frontiers Neurorobotics 14: 52 (2020) - [j76]Focko L. Higgen, Philipp Ruppel, Michael Görner, Matthias Kerzel, Norman Hendrich
, Jan-Frederik Feldheim, Stefan Wermter
, Jianwei Zhang, Christian Gerloff:
Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study. Frontiers Robotics AI 7: 540565 (2020) - [j75]Iris Wieser
, Pablo V. A. Barros
, Stefan Heinrich
, Stefan Wermter
:
Understanding auditory representations of emotional expressions with neural networks. Neural Comput. Appl. 32(4): 1007-1022 (2020) - [j74]Muhammad Burhan Hafez
, Cornelius Weber
, Matthias Kerzel, Stefan Wermter
:
Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination. Robotics Auton. Syst. 133: 103630 (2020) - [j73]Ruobing Xie
, Stefan Heinrich
, Zhiyuan Liu
, Cornelius Weber, Yuan Yao, Stefan Wermter
, Maosong Sun:
Integrating Image-Based and Knowledge-Based Representation Learning. IEEE Trans. Cogn. Dev. Syst. 12(2): 169-178 (2020) - [c220]Henrique Siqueira, Sven Magg, Stefan Wermter
:
Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks. AAAI 2020: 5800-5809 - [c219]Doreen Jirak, Stefan Wermter:
New Results on Sparse Autoencoders for Posture Classification and Segmentation. ESANN 2020: 187-192 - [c218]Gin Chong Lee, Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter:
Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition. ESANN 2020: 591-596 - [c217]Emy Arts
, Sebastian Zörner, Kavish Bhatia, Glareh Mir, Florian Schmalzl, Ankit Srivastava, Brenda Vasiljevic, Tayfun Alpay, Annika Peters, Erik Strahl, Stefan Wermter
:
Exploring Human-Robot Trust Through the Investment Game: An Immersive Space Mission Scenario. HAI 2020: 121-130 - [c216]Frank Röder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter
:
Curious Hierarchical Actor-Critic Reinforcement Learning. ICANN (2) 2020: 408-419 - [c215]Hussam Almotlak, Cornelius Weber, Leyuan Qu, Stefan Wermter
:
Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech. ICANN (1) 2020: 529-540 - [c214]Matthias Kerzel, Josua Spisak, Erik Strahl, Stefan Wermter
:
Neuro-Genetic Visuomotor Architecture for Robotic Grasping. ICANN (2) 2020: 533-545 - [c213]Alexander Sutherland, Suna Bensch
, Thomas Hellström, Sven Magg, Stefan Wermter
:
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE). ICANN (1) 2020: 660-671 - [c212]Mengdi Li, Cornelius Weber, Stefan Wermter
:
Neural Networks for Detecting Irrelevant Questions During Visual Question Answering. ICANN (2) 2020: 786-797 - [c211]Leyuan Qu, Cornelius Weber, Stefan Wermter:
Multimodal Target Speech Separation with Voice and Face References. INTERSPEECH 2020: 1416-1420 - [c210]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators. LREC 2020: 620-627 - [c209]Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter
, Neal Y. Lii:
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning. RO-MAN 2020: 713-720 - [e7]Igor Farkas
, Paolo Masulli
, Stefan Wermter
:
Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12396, Springer 2020, ISBN 978-3-030-61608-3 [contents] - [e6]Igor Farkas
, Paolo Masulli
, Stefan Wermter
:
Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12397, Springer 2020, ISBN 978-3-030-61615-1 [contents] - [i67]Henrique Siqueira, Sven Magg, Stefan Wermter:
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks. CoRR abs/2001.06338 (2020) - [i66]Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter
:
Improved Techniques for Training Single-Image GANs. CoRR abs/2003.11512 (2020) - [i65]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination. CoRR abs/2004.08830 (2020) - [i64]Fatai Sado, Chu Kiong Loo, Matthias Kerzel, Stefan Wermter:
Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework. CoRR abs/2004.09705 (2020) - [i63]Frank Röder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
Curious Hierarchical Actor-Critic Reinforcement Learning. CoRR abs/2005.03420 (2020) - [i62]Leyuan Qu, Cornelius Weber, Stefan Wermter
:
Multimodal Target Speech Separation with Voice and Face References. CoRR abs/2005.08335 (2020) - [i61]Junpei Zhong, Angelo Cangelosi, Stefan Wermter:
Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives. CoRR abs/2006.11465 (2020) - [i60]Alexandra Lindt, Pablo V. A. Barros, Henrique Siqueira, Stefan Wermter:
Facial Expression Editing with Continuous Emotion Labels. CoRR abs/2006.12210 (2020) - [i59]Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel
, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. CoRR abs/2006.13546 (2020) - [i58]Matthias Kerzel, Fares Abawi
, Manfred Eppe, Stefan Wermter:
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. CoRR abs/2009.12674 (2020) - [i57]Tom Weber, Stefan Wermter
:
Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction. CoRR abs/2010.04602 (2020) - [i56]Nikhil Churamani
, Pablo V. A. Barros, Hatice Gunes, Stefan Wermter:
Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions. CoRR abs/2010.07221 (2020) - [i55]Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen, Timo Gerkmann, Stefan Wermter:
Reinforcement Learning with Time-dependent Goals for Robotic Musicians. CoRR abs/2011.05715 (2020) - [i54]Phuong D. H. Nguyen, Manfred Eppe, Stefan Wermter
:
Robotic self-representation improves manipulation skills and transfer learning. CoRR abs/2011.06985 (2020) - [i53]Phuong D. H. Nguyen, Yasmin Kim Georgie, Ezgi Kayhan, Manfred Eppe, Verena Vanessa Hafner, Stefan Wermter:
Sensorimotor representation learning for an "active self" in robots: A model survey. CoRR abs/2011.12860 (2020) - [i52]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Hierarchical principles of embodied reinforcement learning: A review. CoRR abs/2012.10147 (2020)
2010 – 2019
- 2019
- [j72]Jiayuan Mao, Yuan Yao, Stefan Heinrich
, Tobias Hinz, Cornelius Weber, Stefan Wermter
, Zhiyuan Liu
, Maosong Sun:
Bootstrapping Knowledge Graphs From Images and Text. Frontiers Neurorobotics 13: 93 (2019) - [j71]Luiza Mici, German Ignacio Parisi, Stefan Wermter:
Compositional Learning of Human Activities With a Self-Organizing Neural Architecture. Frontiers Robotics AI 6: 72 (2019) - [j70]Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving. Frontiers Robotics AI 6: 123 (2019) - [j69]Pablo V. A. Barros
, Manfred Eppe, German Ignacio Parisi, Xun Liu
, Stefan Wermter:
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification. Frontiers Robotics AI 6: 137 (2019) - [j68]Naoki Masuyama, Chu Kiong Loo, Stefan Wermter
:
A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. Int. J. Neural Syst. 29(5): 1850052:1-1850052:20 (2019) - [j67]Florian Letsch, Doreen Jirak, Stefan Wermter
:
Localizing salient body motion in multi-person scenes using convolutional neural networks. Neurocomputing 330: 449-464 (2019) - [j66]Tayfun Alpay, Fares Abawi
, Stefan Wermter
:
Preserving activations in recurrent neural networks based on surprisal. Neurocomputing 342: 75-82 (2019) - [j65]Stefan Heinrich
, Peer Springstübe, Tobias Knöppler, Matthias Kerzel, Stefan Wermter
:
Continuous convolutional object tracking in developmental robot scenarios. Neurocomputing 342: 137-144 (2019) - [j64]German Ignacio Parisi, Ronald Kemker
, Jose L. Part, Christopher Kanan
, Stefan Wermter
:
Continual lifelong learning with neural networks: A review. Neural Networks 113: 54-71 (2019) - [j63]Muhammad Burhan Hafez
, Cornelius Weber, Matthias Kerzel, Stefan Wermter
:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. Paladyn J. Behav. Robotics 10(1): 14-29 (2019) - [j62]Jorge Dávila-Chacón
, Jindong Liu
, Stefan Wermter
:
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization. IEEE Trans. Neural Networks Learn. Syst. 30(1): 138-150 (2019) - [c208]Pablo V. A. Barros
, Nikhil Churamani
, Angelica Lim, Stefan Wermter
:
The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling. ACII 2019: 1-7 - [c207]German Ignacio Parisi, Pablo V. A. Barros, Di Fu, Sven Magg, Haiyan Wu, Xun Liu, Stefan Wermter:
A Neurorobotic Experiment for Crossmodal Conflict Resolution. CVPR Workshops 2019: 33-36 - [c206]Alexandra Lindt, Pablo V. A. Barros
, Henrique Siqueira, Stefan Wermter
:
Facial Expression Editing with Continuous Emotion Labels. FG 2019: 1-8 - [c205]Stephan Tietz, Doreen Jirak, Stefan Wermter
:
A Reservoir Computing Framework for Continuous Gesture Recognition. ICANN (Workshop) 2019: 7-18 - [c204]Hadi Beik-Mohammadi
, Mohammad-Ali Zamani, Matthias Kerzel, Stefan Wermter
:
Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task. ICANN (1) 2019: 611-623 - [c203]Marcus Soll
, Tobias Hinz
, Sven Magg
, Stefan Wermter
:
Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples. ICANN (3) 2019: 685-696 - [c202]Muhammad Burhan Hafez
, Cornelius Weber, Matthias Kerzel, Stefan Wermter
:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. ICDL-EPIROB 2019: 1-7 - [c201]Sayantan Auddy, Sven Magg, Stefan Wermter
:
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. ICDL-EPIROB 2019: 13-18 - [c200]Matthias Kerzel, Manfred Eppe, Stefan Heinrich
, Fares Abawi
, Stefan Wermter
:
Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid. ICDL-EPIROB 2019: 19-24 - [c199]Manfred Eppe, Sven Magg, Stefan Wermter
:
Curriculum goal masking for continuous deep reinforcement learning. ICDL-EPIROB 2019: 183-188 - [c198]Tobias Hinz, Stefan Heinrich
, Stefan Wermter:
Generating Multiple Objects at Spatially Distinct Locations. ICLR (Poster) 2019 - [c197]Pablo V. A. Barros, German Ignacio Parisi, Stefan Wermter:
A Personalized Affective Memory Model for Improving Emotion Recognition. ICML 2019: 485-494 - [c196]Hadi Beik-Mohammadi, Nikoletta Xirakia, Fares Abawi
, Irina Barykina, Krishnan Chandran, Gitanjali Nair, Cuong Nguyen, Daniel Speck, Tayfun Alpay, Sascha S. Griffiths, Stefan Heinrich
, Erik Strahl, Cornelius Weber, Stefan Wermter
:
Designing a Personality-Driven Robot for a Human-Robot Interaction Scenario. ICRA 2019: 4317-4324 - [c195]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
:
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis. ICRA 2019: 7976-7982 - [c194]Tayfun Alpay, Stefan Heinrich
, Michael Nelskamp, Stefan Wermter
:
Question Answering with Hierarchical Attention Networks. IJCNN 2019: 1-8 - [c193]Muhammad Burhan Hafez
, Cornelius Weber, Matthias Kerzel, Stefan Wermter
:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. IJCNN 2019: 1-8 - [c192]Matthias Kerzel, Erik Strahl, Connor Gaede, Emil Gasanov, Stefan Wermter:
Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset. IJCNN 2019: 1-8 - [c191]Wei Shiung Liew, Chu Kiong Loo, Vadym Gryshchuk
, Cornelius Weber, Stefan Wermter
:
Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks. IJCNN 2019: 1-8 - [c190]Ahmed Marzouk, Pablo V. A. Barros
, Manfred Eppe, Stefan Wermter
:
The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes. IJCNN 2019: 1-7 - [c189]Alexander Sutherland, Sven Magg, Stefan Wermter
:
Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations. IJCNN 2019: 1-6 - [c188]Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter
:
Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics. INTERSPEECH 2019: 934-938 - [c187]Leyuan Qu, Cornelius Weber, Stefan Wermter
:
LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading. INTERSPEECH 2019: 2768-2772 - [c186]Pablo V. A. Barros
, Erik Fließwasser, Matthias Kerzel, Stefan Wermter:
Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network. IROS 2019: 1378-1384 - [c185]Chandrakant Bothe, Stefan Wermter
:
MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues. SemEval@NAACL-HLT 2019: 261-265 - [c184]Hassan Ali, Shreyans Bhansali, Ilay Köksal, Matthias Möller
, Theresa Pekarek-Rosin
, Sachin Sharma, Ann-Katrin Thebille, Julian Tobergte, Sören Hübner, Aleksej Logacjov, Ozan Özdemir, Jose Rodriguez Parra, Mariela Sanchez
, Nambiar Shruti Surendrakumar, Tayfun Alpay, Sascha S. Griffiths, Stefan Heinrich
, Erik Strahl, Cornelius Weber, Stefan Wermter
:
Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones. ICSR 2019: 358-367 - [i51]Tobias Hinz, Stefan Heinrich, Stefan Wermter
:
Generating Multiple Objects at Spatially Distinct Locations. CoRR abs/1901.00686 (2019) - [i50]Jorge Dávila-Chacón, Jindong Liu, Stefan Wermter:
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization. CoRR abs/1902.05446 (2019) - [i49]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis. CoRR abs/1902.11245 (2019) - [i48]Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter:
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. CoRR abs/1903.00216 (2019) - [i47]Francisco Cruz, Sven Magg, Yukie Nagai, Stefan Wermter:
Improving interactive reinforcement learning: What makes a good teacher? CoRR abs/1904.06879 (2019) - [i46]Pablo V. A. Barros, German Ignacio Parisi, Stefan Wermter
:
A Personalized Affective Memory Neural Model for Improving Emotion Recognition. CoRR abs/1904.12632 (2019) - [i45]Muhammad Burhan Hafez
, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. CoRR abs/1905.01718 (2019) - [i44]Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use. CoRR abs/1905.09683 (2019) - [i43]Pablo V. A. Barros, Stefan Wermter
, Alessandra Sciutti:
Towards Learning How to Properly Play UNO with the iCub Robot. CoRR abs/1908.00744 (2019) - [i42]Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter:
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples. CoRR abs/1908.07899 (2019) - [i41]Pablo V. A. Barros, Nikhil Churamani, Angelica Lim, Stefan Wermter:
The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling. CoRR abs/1908.11706 (2019) - [i40]Sayantan Auddy, Sven Magg, Stefan Wermter:
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. CoRR abs/1909.00732 (2019) - [i39]Di Fu, Cornelius Weber, Guochun Yang, Matthias Kerzel, Weizhi Nan, Pablo V. A. Barros, Haiyan Wu, Xun Liu, Stefan Wermter:
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective. CoRR abs/1909.05654 (2019) - [i38]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. CoRR abs/1910.04729 (2019) - [i37]Tobias Hinz
, Stefan Heinrich, Stefan Wermter:
Semantic Object Accuracy for Generative Text-to-Image Synthesis. CoRR abs/1910.13321 (2019) - [i36]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter
:
Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators. CoRR abs/1912.00819 (2019) - [i35]Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter:
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach. CoRR abs/1912.06449 (2019) - 2018
- [j61]Sibel Toprak
, Nicolás Navarro-Guerrero
, Stefan Wermter
:
Evaluating Integration Strategies for Visuo-Haptic Object Recognition. Cogn. Comput. 10(3): 408-425 (2018) - [j60]Stefan Heinrich
, Stefan Wermter
:
Interactive natural language acquisition in a multi-modal recurrent neural architecture. Connect. Sci. 30(1): 99-133 (2018) - [j59]Francisco Cruz
, Sven Magg
, Yukie Nagai, Stefan Wermter
:
Improving interactive reinforcement learning: What makes a good teacher? Connect. Sci. 30(3): 306-325 (2018) - [j58]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
:
Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization. Frontiers Neurorobotics 12: 78 (2018) - [j57]Tobias Hinz, Nicolás Navarro-Guerrero
, Sven Magg
, Stefan Wermter
:
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks. Int. J. Comput. Intell. Appl. 17(2): 1850008:1-1850008:15 (2018) - [j56]Luiza Mici
, German Ignacio Parisi, Stefan Wermter
:
A self-organizing neural network architecture for learning human-object interactions. Neurocomputing 307: 14-24 (2018) - [j55]Mohammad-Ali Zamani, Sven Magg, Cornelius Weber, Stefan Wermter
, Di Fu:
Deep reinforcement learning using compositional representations for performing instructions. Paladyn J. Behav. Robotics 9(1): 358-373 (2018) - [j54]Luiza Mici
, German Ignacio Parisi, Stefan Wermter
:
An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction. IEEE Trans. Cogn. Dev. Syst. 10(4): 918-928 (2018) - [c183]Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter
:
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. EMNLP (Demonstration) 2018: 90-95 - [c182]Tayfun Alpay, Fares Abawi, Stefan Wermter:
Surprisal-based activation in recurrent neural networks. ESANN 2018 - [c181]Manfred Eppe, Tayfun Alpay, Fares Abawi, Stefan Wermter:
An analysis of subtask-dependency in robot command interpretation with dilated CNNs. ESANN 2018 - [c180]Muhammad Burhan Hafez, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. ESANN 2018 - [c179]Tobias Hinz, Stefan Wermter:
Inferencing based on unsupervised learning of disentangled representations. ESANN 2018 - [c178]Henrique Siqueira, Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter:
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition. ESANN 2018 - [c177]Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter:
Image-to-Text Transduction with Spatial Self-Attention. ESANN 2018 - [c176]Peer Springstübe, Stefan Heinrich, Stefan Wermter:
Continuous convolutional object tracking. ESANN 2018 - [c175]Sebastian Schneider
, Britta Wrede
, Carlos A. Cifuentes, Sascha S. Griffiths, Stefan Wermter:
PREC 2018: Personal Robots for Exercising and Coaching. HRI (Companion) 2018: 401-402 - [c174]Henrique Siqueira, Alexander Sutherland, Pablo V. A. Barros
, Matthias Kerzel, Sven Magg, Stefan Wermter
:
Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. Humanoids 2018: 1-9 - [c173]Manfred Eppe, Tayfun Alpay, Stefan Wermter
:
Towards End-to-End Raw Audio Music Synthesis. ICANN (3) 2018: 137-146 - [c172]Hwei Geok Ng, Matthias Kerzel, Jan Mehnert, Arne May, Stefan Wermter
:
Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network. ICANN (3) 2018: 300-309 - [c171]Xiaomao Zhou, Cornelius Weber, Chandrakant Bothe
, Stefan Wermter
:
A Hybrid Planning Strategy Through Learning from Vision for Target-Directed Navigation. ICANN (2) 2018: 304-311 - [c170]Leyuan Qu, Cornelius Weber, Egor Lakomkin, Johannes Twiefel, Stefan Wermter
:
Combining Articulatory Features with End-to-End Learning in Speech Recognition. ICANN (3) 2018: 500-510 - [c169]Daniel Speck, Pablo V. A. Barros
, Stefan Wermter
:
De-noise-GAN: De-noising Images to Improve RoboCup Soccer Ball Detection. ICANN (3) 2018: 738-747 - [c168]Stefan Heinrich
, Tayfun Alpay, Stefan Wermter
:
Adaptive and Variational Continuous Time Recurrent Neural Networks. ICDL-EPIROB 2018: 13-18 - [c167]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
:
EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning. ICRA 2018: 1-6 - [c166]Francisco Cruz
, German Ignacio Parisi, Stefan Wermter
:
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. IJCNN 2018: 1-8 - [c165]Pablo V. A. Barros
, Nikhil Churamani
, Egor Lakomkin, Henrique Siqueira, Alexander Sutherland, Stefan Wermter:
The OMG-Emotion Behavior Dataset. IJCNN 2018: 1-7 - [c164]Pablo V. A. Barros
, German Ignacio Parisi, Di Fu, Xun Liu
, Stefan Wermter
:
Expectation Learning and Crossmodal Modulation with a Deep Adversarial Network. IJCNN 2018: 1-8 - [c163]Nikhil Churamani
, Pablo V. A. Barros
, Erik Strahl, Stefan Wermter
:
Learning Empathy-Driven Emotion Expressions using Affective Modulations. IJCNN 2018: 1-8 - [c162]Tobias Hinz, Stefan Wermter
:
Image Generation and Translation with Disentangled Representations. IJCNN 2018: 1-8 - [c161]Doreen Jirak, Stefan Wermter
:
Sparse Autoencoders for Posture Recognition. IJCNN 2018: 1-10 - [c160]Matthias Kerzel, Hadi Beik-Mohammadi, Mohammad-Ali Zamani, Stefan Wermter
:
Accelerating Deep Continuous Reinforcement Learning through Task Simplification. IJCNN 2018: 1-6 - [c159]Luiza Mici, German Ignacio Parisi, Stefan Wermter
:
Recognition and Prediction of Human-Object Interactions with a Self-Organizing Architecture. IJCNN 2018: 1-8 - [c158]Marcelo Borghetti Soares, Stefan Wermter
:
Point Cloud Object Recognition using 3D Convolutional Neural Networks. IJCNN 2018: 1-8 - [c157]Xiaomao Zhou, Cornelius Weber, Stefan Wermter
:
A Self-organizing Method for Robot Navigation based on Learned Place and Head-Direction Cells. IJCNN 2018: 1-8 - [c156]Chandrakant Bothe
, Sven Magg
, Cornelius Weber, Stefan Wermter
:
Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks. INTERSPEECH 2018: 996-1000 - [c155]Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter
:
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. IROS 2018: 284-289 - [c154]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter
:
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks. IROS 2018: 854-860 - [c153]Henrique Siqueira, Pablo V. A. Barros
, Sven Magg, Stefan Wermter
:
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions. IROS 2018: 1563-1568 - [c152]German Ignacio Parisi, Pablo V. A. Barros
, Di Fu, Sven Magg, Haiyan Wu, Xun Liu
, Stefan Wermter
:
A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments. IROS 2018: 2330-2335 - [c151]Erik Strahl, Matthias Kerzel, Manfred Eppe, Sascha S. Griffiths, Stefan Wermter
:
Hear the Egg - Demonstrating Robotic Interactive Auditory Perception. IROS 2018: 5041 - [c150]Josip Josifovski
, Matthias Kerzel, Christoph Pregizer, Lukas Posniak, Stefan Wermter
:
Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data. IROS 2018: 6269-6276 - [c149]Francisco Cruz
, Peter Wuppen, Alvin Fazrie, Cornelius Weber, Stefan Wermter:
Action Selection Methods in a Robotic Reinforcement Learning Scenario. LA-CCI 2018: 1-6 - [c148]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. LREC 2018 - [c147]Chandrakant Bothe
, Fernando García, Arturo Cruz-Maya, Amit Kumar Pandey, Stefan Wermter
:
Towards Dialogue-Based Navigation with Multivariate Adaptation Driven by Intention and Politeness for Social Robots. ICSR 2018: 230-240 - [i34]Pablo V. A. Barros, German Ignacio Parisi, Di Fu, Xun Liu, Stefan Wermter
:
Expectation Learning for Adaptive Crossmodal Stimuli Association. CoRR abs/1801.07654 (2018) - [i33]Jonathan Tong, German Ignacio Parisi, Stefan Wermter
, Brigitte Röder:
Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration. CoRR abs/1802.06591 (2018) - [i32]German Ignacio Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter:
Continual Lifelong Learning with Neural Networks: A Review. CoRR abs/1802.07569 (2018) - [i31]German Ignacio Parisi, Pablo V. A. Barros, Di Fu, Sven Magg, Haiyan Wu, Xun Liu, Stefan Wermter:
A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments. CoRR abs/1802.10408 (2018) - [i30]Tobias Hinz, Stefan Wermter:
Inferencing Based on Unsupervised Learning of Disentangled Representations. CoRR abs/1803.02627 (2018) - [i29]Pablo V. A. Barros, Nikhil Churamani, Egor Lakomkin, Henrique Siqueira, Alexander Sutherland, Stefan Wermter
:
The OMG-Emotion Behavior Dataset. CoRR abs/1803.05434 (2018) - [i28]Tobias Hinz, Stefan Wermter:
Image Generation and Translation with Disentangled Representations. CoRR abs/1803.10567 (2018) - [i27]Egor Lakomkin, Cornelius Weber, Stefan Wermter
:
Automatically augmenting an emotion dataset improves classification using audio. CoRR abs/1803.11506 (2018) - [i26]Egor Lakomkin, Cornelius Weber, Sven Magg, Stefan Wermter:
Reusing Neural Speech Representations for Auditory Emotion Recognition. CoRR abs/1803.11508 (2018) - [i25]Egor Lakomkin, Chandrakant Bothe, Stefan Wermter:
GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection. CoRR abs/1803.11509 (2018) - [i24]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks. CoRR abs/1804.02173 (2018) - [i23]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
EmoRL: Continuous Acoustic Emotion Classification using Deep Reinforcement Learning. CoRR abs/1804.04053 (2018) - [i22]Doreen Jirak, Stefan Wermter
:
Potentials and Limitations of Deep Neural Networks for Cognitive Robots. CoRR abs/1805.00777 (2018) - [i21]Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter:
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks. CoRR abs/1805.06242 (2018) - [i20]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter
:
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. CoRR abs/1805.06280 (2018) - [i19]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter:
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization. CoRR abs/1805.10966 (2018) - [i18]Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter
:
Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs. CoRR abs/1806.11420 (2018) - [i17]Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. CoRR abs/1807.01035 (2018) - [i16]German Ignacio Parisi, Jonathan Tong, Pablo V. A. Barros, Brigitte Röder, Stefan Wermter
:
Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception. CoRR abs/1807.05222 (2018) - [i15]Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg, Stefan Wermter:
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks. CoRR abs/1807.07362 (2018) - [i14]Francisco Cruz, German Ignacio Parisi, Stefan Wermter:
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. CoRR abs/1807.09991 (2018) - [i13]Pablo V. A. Barros, Emilia I. Barakova, Stefan Wermter:
A Deep Neural Model Of Emotion Appraisal. CoRR abs/1808.00252 (2018) - [i12]Manfred Eppe, Sven Magg, Stefan Wermter:
Curriculum goal masking for continuous deep reinforcement learning. CoRR abs/1809.06146 (2018) - [i11]Chandrakant Bothe, Fernando García, Arturo Cruz-Maya, Amit Kumar Pandey, Stefan Wermter:
Towards Dialogue-based Navigation with Multivariate Adaptation driven by Intention and Politeness for Social Robots. CoRR abs/1809.07269 (2018) - [i10]Di Fu, Pablo V. A. Barros, German Ignacio Parisi, Haiyan Wu, Sven Magg, Xun Liu, Stefan Wermter
:
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution. CoRR abs/1810.06748 (2018) - [i9]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. CoRR abs/1810.11388 (2018) - [i8]German Ignacio Parisi, Xu Ji, Stefan Wermter
:
On the role of neurogenesis in overcoming catastrophic forgetting. CoRR abs/1811.02113 (2018) - 2017
- [j53]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
:
Emergence of multimodal action representations from neural network self-organization. Cogn. Syst. Res. 43: 208-221 (2017) - [j52]Nicolás Navarro-Guerrero
, Robert J. Lowe, Stefan Wermter:
Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals. Frontiers Neurorobotics 11: 10 (2017) - [j51]Pablo V. A. Barros
, German Ignacio Parisi, Cornelius Weber, Stefan Wermter
:
Emotion-modulated attention improves expression recognition: A deep learning model. Neurocomputing 253: 104-114 (2017) - [j50]Eleni Tsironi, Pablo V. A. Barros
, Cornelius Weber, Stefan Wermter
:
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition. Neurocomputing 268: 76-86 (2017) - [j49]German Ignacio Parisi, Jun Tani, Cornelius Weber, Stefan Wermter
:
Lifelong learning of human actions with deep neural network self-organization. Neural Networks 96: 137-149 (2017) - [c146]German Ignacio Parisi, Pablo V. A. Barros, Haiyan Wu, Guochun Yang, Zhenghan Li, Xun Liu, Stefan Wermter:
A Deep Neural Model for Emotion-Driven Multimodal Attention. AAAI Spring Symposia 2017 - [c145]German Ignacio Parisi, Stefan Wermter:
Lifelong Learning of Action Representations with Deep Neural Self-Organization. AAAI Spring Symposia 2017 - [c144]Egor Lakomkin, Cornelius Weber, Stefan Wermter:
Automatically augmenting an emotion dataset improves classification using audio. EACL (2) 2017: 194-197 - [c143]Melanie Remmels, Nicolás Navarro-Guerrero
, Stefan Wermter
:
Comparison of Behaviour-Based Architectures for a Collaborative Package Delivery Task. HAI 2017: 121-129 - [c142]Nourhan Elfaramawy, Pablo V. A. Barros
, German Ignacio Parisi, Stefan Wermter:
Emotion Recognition from Body Expressions with a Neural Network Architecture. HAI 2017: 143-149 - [c141]Nikhil Churamani
, Paul Anton, Marc Brügger, Erik Fließwasser, Thomas Hummel
, Julius Mayer, Waleed Mustafa, Hwei Geok Ng, Thi Linh Chi Nguyen, Quan Nguyen, Marcus Soll
, Sebastian Springenberg, Sascha S. Griffiths, Stefan Heinrich
, Nicolás Navarro-Guerrero
, Erik Strahl, Johannes Twiefel, Cornelius Weber, Stefan Wermter
:
The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios. HAI 2017: 171-180 - [c140]Manfred Eppe, Matthias Kerzel, Sascha S. Griffiths, Hwei Geok Ng, Stefan Wermter
:
Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking. Humanoids 2017: 612-617 - [c139]Marian Tietz, Tayfun Alpay, Johannes Twiefel, Stefan Wermter
:
Semi-supervised Phoneme Recognition with Recurrent Ladder Networks. ICANN (1) 2017: 3-10 - [c138]Matthias Kerzel, Stefan Wermter
:
Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction. ICANN (1) 2017: 27-34 - [c137]Xiaomao Zhou, Cornelius Weber, Stefan Wermter
:
Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells. ICANN (1) 2017: 137-145 - [c136]Chandrakant Bothe
, Sven Magg
, Cornelius Weber, Stefan Wermter
:
Dialogue-Based Neural Learning to Estimate the Sentiment of a Next Upcoming Utterance. ICANN (2) 2017: 477-485 - [c135]German Ignacio Parisi, Pablo V. A. Barros
, Matthias Kerzel, Haiyan Wu, Guochun Yang, Zhenghan Li, Xun Liu
, Stefan Wermter
:
A computational model of crossmodal processing for conflict resolution. ICDL-EPIROB 2017: 33-38 - [c134]Muhammad Burhan Hafez
, Cornelius Weber, Stefan Wermter
:
Curiosity-driven exploration enhances motor skills of continuous actor-critic learner. ICDL-EPIROB 2017: 39-46 - [c133]Nicolás Navarro-Guerrero
, Robert J. Lowe, Stefan Wermter
:
The effects on adaptive behaviour of negatively valenced signals in reinforcement learning. ICDL-EPIROB 2017: 148-155 - [c132]Francisco Cruz
, Peter Wuppen, Sven Magg, Alvin Fazrie, Stefan Wermter
:
Agent-advising approaches in an interactive reinforcement learning scenario. ICDL-EPIROB 2017: 209-214 - [c131]Johannes Twiefel, Xavier Hinaut
, Stefan Wermter
:
Syntactic reanalysis in language models for speech recognition. ICDL-EPIROB 2017: 215-220 - [c130]Egor Lakomkin, Cornelius Weber, Sven Magg, Stefan Wermter:
Reusing Neural Speech Representations for Auditory Emotion Recognition. IJCNLP(1) 2017: 423-430 - [c129]Pablo V. A. Barros
, Stefan Wermter
:
A self-organizing model for affective memory. IJCNN 2017: 31-38 - [c128]Matthias Kerzel, Moaaz Ali, Hwei Geok Ng, Stefan Wermter
:
Haptic material classification with a multi-channel neural network. IJCNN 2017: 439-446 - [c127]Nikhil Churamani
, Matthias Kerzel, Erik Strahl, Pablo V. A. Barros
, Stefan Wermter
:
Teaching emotion expressions to a human companion robot using deep neural architectures. IJCNN 2017: 627-234 - [c126]Matthias Kerzel, Erik Strahl, Sven Magg, Nicolás Navarro-Guerrero
, Stefan Heinrich
, Stefan Wermter:
NICO - Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction. RO-MAN 2017: 113-120 - [c125]Hwei Geok Ng, Paul Anton, Marc Brügger, Nikhil Churamani
, Erik Fließwasser, Thomas Hummel
, Julius Mayer, Waleed Mustafa, Thi Linh Chi Nguyen, Quan Nguyen, Marcus Soll
, Sebastian Springenberg, Sascha S. Griffiths, Stefan Heinrich
, Nicolás Navarro-Guerrero
, Erik Strahl, Johannes Twiefel, Cornelius Weber, Stefan Wermter
:
Hey robot, why don't you talk to me? RO-MAN 2017: 728-731 - [c124]Egor Lakomkin, Chandrakant Bothe, Stefan Wermter
:
GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection. WASSA@EMNLP 2017: 169-174 - [i7]Stefan Heinrich, Stefan Wermter:
Interactive Natural Language Acquisition in a Multi-modal Recurrent Neural Architecture. CoRR abs/1703.08513 (2017) - [i6]Marian Tietz, Tayfun Alpay, Johannes Twiefel, Stefan Wermter:
Semi-Supervised Phoneme Recognition with Recurrent Ladder Networks. CoRR abs/1706.02124 (2017) - [i5]Luiza Mici, German Ignacio Parisi, Stefan Wermter:
A self-organizing neural network architecture for learning human-object interactions. CoRR abs/1710.01916 (2017) - [i4]Luiza Mici, German Ignacio Parisi, Stefan Wermter:
An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction. CoRR abs/1712.08521 (2017) - 2016
- [j48]Pablo V. A. Barros
, Stefan Wermter
:
Developing crossmodal expression recognition based on a deep neural model. Adapt. Behav. 24(5): 373-396 (2016) - [j47]Francisco Cruz
, Sven Magg
, Cornelius Weber, Stefan Wermter:
Training Agents With Interactive Reinforcement Learning and Contextual Affordances. IEEE Trans. Cogn. Dev. Syst. 8(4): 271-284 (2016) - [c123]Vidwath Raj, Sven Magg, Stefan Wermter
:
Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks. ANNPR 2016: 150-162 - [c122]Francisco Cruz, German Ignacio Parisi, Stefan Wermter:
Learning contextual affordances with an associative neural architecture. ESANN 2016 - [c121]Luiza Mici, Xavier Hinaut, Stefan Wermter:
Activity recognition with echo state networks using 3D body joints and objects category. ESANN 2016 - [c120]Eleni Tsironi, Pablo V. A. Barros, Stefan Wermter:
Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network. ESANN 2016 - [c119]Johannes Twiefel, Xavier Hinaut, Stefan Wermter:
Semantic Role Labelling for Robot Instructions using Echo State Networks. ESANN 2016 - [c118]Tobias Hinz, Pablo V. A. Barros
, Stefan Wermter
:
The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks. ICANN (2) 2016: 80-87 - [c117]Tayfun Alpay, Stefan Heinrich
, Stefan Wermter
:
Learning Multiple Timescales in Recurrent Neural Networks. ICANN (1) 2016: 132-139 - [c116]Luiza Mici, German Ignacio Parisi, Stefan Wermter
:
Recognition of Transitive Actions with Hierarchical Neural Network Learning. ICANN (2) 2016: 472-479 - [c115]Xavier Hinaut
, Johannes Twiefel, Stefan Wermter
:
Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures. ICDL-EPIROB 2016: 150-151 - [c114]Nima Mousavi, Henrique Siqueira, Pablo V. A. Barros
, Bruno J. T. Fernandes
, Stefan Wermter
:
Understanding how deep neural networks learn face expressions. IJCNN 2016: 227-234 - [c113]Pablo V. A. Barros
, Cornelius Weber, Stefan Wermter
:
Learning auditory neural representations for emotion recognition. IJCNN 2016: 921-928 - [c112]Francisco Cruz
, German Ignacio Parisi, Johannes Twiefel, Stefan Wermter
:
Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario. IROS 2016: 759-766 - [c111]Iris Wieser, Sibel Toprak
, Andreas Grenzing, Tobias Hinz, Sayantan Auddy, Ethem Can Karaoguz, Abhilash Chandran, Melanie Remmels, Ahmed El Shinawi, Josip Josifovski
, Leena Chennuru Vankadara, Faiz Ul Wahab, Alireza MollaAlizadeh Bahnemiri, Debasish Sahu, Stefan Heinrich
, Nicolás Navarro-Guerrero
, Erik Strahl, Johannes Twiefel, Stefan Wermter
:
A Robotic Home Assistant with Memory Aid Functionality. KI 2016: 102-115 - [c110]Stefan Heinrich, Cornelius Weber, Stefan Wermter, Ruobing Xie, Yankai Lin, Zhiyuan Liu:
Crossmodal Language Grounding, Learning, and Teaching. CoCo@NIPS 2016 - [c109]Johannes Twiefel, Xavier Hinaut
, Marcelo Borghetti Soares, Erik Strahl, Stefan Wermter:
Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture. RO-MAN 2016: 52-57 - [c108]German Ignacio Parisi, Sven Magg, Stefan Wermter
:
Human motion assessment in real time using recurrent self-organization. RO-MAN 2016: 71-76 - [c107]Daniel Speck, Pablo V. A. Barros
, Cornelius Weber, Stefan Wermter:
Ball Localization for Robocup Soccer Using Convolutional Neural Networks. RoboCup 2016: 19-30 - 2015
- [j46]Johannes Bauer, Jorge Dávila-Chacón, Stefan Wermter:
Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes. Connect. Sci. 27(4): 358-376 (2015) - [j45]German Ignacio Parisi, Cornelius Weber, Stefan Wermter:
Self-organizing neural integration of pose-motion features for human action recognition. Frontiers Neurorobotics 9: 3 (2015) - [j44]Nandita Tripathi, Michael P. Oakes
, Stefan Wermter:
A Scalable Meta-Classifier Combining Search and Classification Techniques for Multi-Level Text Categorization. Int. J. Comput. Intell. Appl. 14(4): 1550020:1-1550020:16 (2015) - [j43]Johannes Bauer, Sven Magg, Stefan Wermter:
Attention modeled as information in learning multisensory integration. Neural Networks 65: 44-52 (2015) - [j42]Pablo V. A. Barros
, Doreen Jirak, Cornelius Weber, Stefan Wermter:
Multimodal emotional state recognition using sequence-dependent deep hierarchical features. Neural Networks 72: 140-151 (2015) - [c106]Doreen Jirak, Pablo V. A. Barros, Stefan Wermter:
Dynamic gesture recognition using Echo State Networks. ESANN 2015 - [c105]Marcelo Borghetti Soares, Pablo V. A. Barros, German Ignacio Parisi, Stefan Wermter:
Learning objects from RGB-D sensors using point cloud-based neural networks. ESANN 2015 - [c104]Pablo V. A. Barros
, Cornelius Weber, Stefan Wermter:
Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction. Humanoids 2015: 582-587 - [c103]Francisco Cruz
, Johannes Twiefel, Sven Magg, Cornelius Weber, Stefan Wermter:
Interactive reinforcement learning through speech guidance in a domestic scenario. IJCNN 2015: 1-8 - [c102]Dennis Hamester, Pablo V. A. Barros
, Stefan Wermter:
Face expression recognition with a 2-channel Convolutional Neural Network. IJCNN 2015: 1-8 - [c101]German Ignacio Parisi, Florian von Stosch, Sven Magg, Stefan Wermter:
Learning human motion feedback with neural self-organization. IJCNN 2015: 1-6 - [c100]German Ignacio Parisi, Johannes Bauer, Erik Strahl, Stefan Wermter:
A Multi-modal Approach for Assistive Humanoid Robots. MuSRobS@IROS 2015: 10-15 - [c99]Pablo V. A. Barros
, Stefan Wermter:
Recognizing complex mental states with deep hierarchical features for Human-Robot Interaction. IROS 2015: 4065-4070 - [c98]Xavier Hinaut, Johannes Twiefel, Maxime Petit, Peter Ford Dominey, Stefan Wermter:
A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French. CoCo@NIPS 2015 - 2014
- [j41]David O. Johnson, Raymond H. Cuijpers, James F. Juola, Elena Torta
, Mikhail Simonov, Antonella Frisiello
, Marco Bazzani
, Wenjie Yan, Cornelius Weber, Stefan Wermter, Nils Meins, Johannes Oberzaucher, Paul Panek
, Georg Edelmayer, Peter Mayer, Christian Beck:
Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living. Int. J. Soc. Robotics 6(2): 195-211 (2014) - [c97]Johannes Twiefel, Timo Baumann, Stefan Heinrich, Stefan Wermter:
Improving Domain-independent Cloud-Based Speech Recognition with Domain-Dependent Phonetic Post-Processing. AAAI 2014: 1529-1536 - [c96]German Ignacio Parisi, Pablo V. A. Barros, Stefan Wermter:
FINGeR: Framework for interactive neural-based gesture recognition. ESANN 2014 - [c95]Pablo V. A. Barros
, German Ignacio Parisi, Doreen Jirak, Stefan Wermter:
Real-time gesture recognition using a humanoid robot with a deep neural architecture. Humanoids 2014: 646-651 - [c94]German Ignacio Parisi, Erik Strahl, Stefan Wermter:
Robust fall detection with an assistive humanoid robot. Humanoids 2014: 1013 - [c93]Xavier Hinaut
, Stefan Wermter:
An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks. ICANN 2014: 33-40 - [c92]German Ignacio Parisi, Cornelius Weber, Stefan Wermter:
Human Action Recognition with Hierarchical Growing Neural Gas Learning. ICANN 2014: 89-96 - [c91]Stefan Heinrich
, Stefan Wermter:
Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks. ICANN 2014: 193-200 - [c90]Pablo V. A. Barros
, Sven Magg
, Cornelius Weber, Stefan Wermter:
A Multichannel Convolutional Neural Network for Hand Posture Recognition. ICANN 2014: 403-410 - [c89]Jorge Dávila-Chacón, Johannes Twiefel, Jindong Liu, Stefan Wermter:
Improving Humanoid Robot Speech Recognition with Sound Source Localisation. ICANN 2014: 619-626 - [c88]Stefan Müller, Cornelius Weber, Stefan Wermter:
RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot. ICANN 2014: 789-796 - [c87]Francisco Cruz
, Sven Magg
, Cornelius Weber, Stefan Wermter:
Improving reinforcement learning with interactive feedback and affordances. ICDL-EPIROB 2014: 165-170 - [c86]German Ignacio Parisi, Doreen Jirak, Stefan Wermter:
HandSOM - neural clustering of hand motion for gesture recognition in real time. RO-MAN 2014: 981-986 - [e5]Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia D. Koprinkova-Hristova
, Sven Magg, Günther Palm, Alessandro E. P. Villa
:
Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Lecture Notes in Computer Science 8681, Springer 2014, ISBN 978-3-319-11178-0 [contents] - 2013
- [j40]Wenjie Yan, Cornelius Weber, Stefan Wermter:
Learning indoor robot navigation using visual and sensorimotor map information. Frontiers Neurorobotics 7: 15 (2013) - [j39]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
Hybrid classifiers based on semantic data subspaces for two-level text categorization. Int. J. Hybrid Intell. Syst. 10(1): 33-41 (2013) - [c85]Stefan Heinrich
, Cornelius Weber, Stefan Wermter:
Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network. ICANN 2013: 216-223 - [c84]Dennis Hamester, Doreen Jirak, Stefan Wermter:
Improved estimation of hand postures using depth images. ICAR 2013: 1-6 - [c83]Johannes Bauer, Stefan Wermter:
Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data. IJCAI 2013: 1226-1232 - [c82]Jorge Dávila-Chacón, Sven Magg, Jindong Liu, Stefan Wermter:
Neural and statistical processing of spatial cues for sound source localisation. IJCNN 2013: 1-8 - [c81]Nils Meins, Sven Magg, Stefan Wermter:
Neural Hopfield-ensemble for multi-class head pose detection. IJCNN 2013: 1-8 - [c80]German Ignacio Parisi, Stefan Wermter:
Hierarchical SOM-based detection of novel behavior for 3D human tracking. IJCNN 2013: 1-8 - 2012
- [j38]Francesca Stramandinoli, Angelo Cangelosi, Stefan Wermter:
Special issue on advances in developmental robotics. Paladyn J. Behav. Robotics 3(3): 112 (2012) - [j37]Junpei Zhong
, Cornelius Weber, Stefan Wermter:
A predictive network architecture for a robust and smooth robot docking behavior. Paladyn J. Behav. Robotics 3(4): 172-180 (2012) - [j36]Nicolás Navarro-Guerrero
, Cornelius Weber, Pascal Schroeter, Stefan Wermter:
Real-world reinforcement learning for autonomous humanoid robot docking. Robotics Auton. Syst. 60(11): 1400-1407 (2012) - [c79]Nandita Tripathi, Michael P. Oakes
, Stefan Wermter:
A Fast Subspace Text Categorization Method Using Parallel Classifiers. CICLing (2) 2012: 132-143 - [c78]Nils Meins, Doreen Jirak, Cornelius Weber, Stefan Wermter:
Adaboost and Hopfield Neural Networks on different image representations for robust face detection. HIS 2012: 531-536 - [c77]Jens Kleesiek, Stephanie Badde, Stefan Wermter, Andreas K. Engel:
What do Objects Feel Like? - Active Perception for a Humanoid Robot. ICAART (1) 2012: 64-73 - [c76]Jens Kleesiek, Stephanie Badde, Stefan Wermter, Andreas K. Engel:
Action-Driven Perception for a Humanoid. ICAART (Revised Selected Papers) 2012: 83-99 - [c75]Jorge Dávila-Chacón, Stefan Heinrich
, Jindong Liu, Stefan Wermter:
Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. ICANN (1) 2012: 239-246 - [c74]Nils Meins, Stefan Wermter, Cornelius Weber:
Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection. ICANN (1) 2012: 403-410 - [c73]Junpei Zhong
, Cornelius Weber, Stefan Wermter:
Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model. ICANN (1) 2012: 539-546 - [c72]Stefan Heinrich
, Cornelius Weber, Stefan Wermter:
Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network. ICANN (1) 2012: 555-562 - [c71]Johannes Bauer, Cornelius Weber, Stefan Wermter:
A SOM-based model for multi-sensory integration in the superior colliculus. IJCNN 2012: 1-8 - [c70]Nicolás Navarro-Guerrero
, Robert J. Lowe, Stefan Wermter:
A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach. IJCNN 2012: 1-8 - [c69]Wenjie Yan, Cornelius Weber, Stefan Wermter:
A neural approach for robot navigation based on cognitive map learning. IJCNN 2012: 1-8 - [c68]Johannes Bauer, Jorge Dávila-Chacón, Erik Strahl, Stefan Wermter:
Smoke and mirrors - Virtual realities for sensor fusion experiments in biomimetic robotics. MFI 2012: 114-119 - 2011
- [j35]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
Semantic subspace learning for text classification using hybrid intelligent techniques. Int. J. Hybrid Intell. Syst. 8(2): 99-114 (2011) - [j34]Wenjie Yan, Cornelius Weber, Stefan Wermter:
A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera. J. Ambient Intell. Smart Environ. 3(3): 237-252 (2011) - [c67]Nandita Tripathi, Michael P. Oakes
, Stefan Wermter:
Hybrid classifiers for improved semantic subspace learning of news documents. HIS 2011: 28-33 - [c66]Stefan Heinrich, Markus Eberling, Stefan Wermter:
Determining Cooperation in Multiagent Systems with Cultural Traits. ICAART (2) 2011: 173-180 - [c65]Nandita Tripathi, Michael P. Oakes
, Stefan Wermter:
Hybrid Parallel Classifiers for Semantic Subspace Learning. ICANN (2) 2011: 64-70 - [c64]Junpei Zhong
, Cornelius Weber, Stefan Wermter:
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model. ICANN (2) 2011: 333-340 - [c63]Wenjie Yan, Cornelius Weber, Stefan Wermter:
Person Tracking Based on a Hybrid Neural Probabilistic Model. ICANN (2) 2011: 365-372 - [c62]Jens Kleesiek, Andreas K. Engel
, Cornelius Weber, Stefan Wermter:
Reward-driven learning of sensorimotor laws and visual features. ICDL-EPIROB 2011: 1-6 - [c61]Nicolás Navarro-Guerrero
, Cornelius Weber, Stefan Wermter:
Real-World Reinforcement Learning for Autonomous Humanoid Robot Charging in a Home Environment. TAROS 2011: 231-240 - 2010
- [j33]Jindong Liu, David Pérez-González
, Adrian Rees
, Harry R. Erwin, Stefan Wermter:
A biologically inspired spiking neural network model of the auditory midbrain for sound source localisation. Neurocomputing 74(1-3): 129-139 (2010) - [c60]Nandita Tripathi, Stefan Wermter, Chihli Hung, Michael P. Oakes
:
Semantic Subspace Learning with conditional significance vectors. IJCNN 2010: 1-8 - [c59]Chi-Yung Yau, Kevin Burn, Stefan Wermter:
Configuring the stochastic Helmholtz machine for subcortical emotional learning. IJCNN 2010: 1-8 - [c58]Michael Knowles
, David Baglee, Stefan Wermter:
Reinforcement Learning for Scheduling of Maintenance. SGAI Conf. 2010: 409-422
2000 – 2009
- 2009
- [j32]David Muse, Stefan Wermter:
Actor-Critic Learning for Platform-Independent Robot Navigation. Cogn. Comput. 1(3): 203-220 (2009) - [j31]Richa Yadav, Stefan Wermter:
Social Cognition, Marilynn B. Brewer, Miles J. Hewstone (Eds.); Blackwell Publishing, 2004, 368 pages. Cogn. Syst. Res. 10(2): 172-174 (2009) - [j30]Stefan Wermter, Renato Cordeiro de Amorim:
Elden, L (2007). Matrix Methods in Data Mining and Pattern Recognition. Philadelphia (USA): Society for Industrial and Applied Mathematics. Cogn. Syst. Res. 10(4): 377-379 (2009) - [j29]Stefan Wermter, M. Page, Michael Knowles
, Vittorio Gallese
, Friedemann Pulvermüller
, J. Taylor:
Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics. Neural Networks 22(2): 111-115 (2009) - [j28]John C. Murray, Harry R. Erwin, Stefan Wermter:
Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks 22(2): 173-189 (2009) - [c57]Jindong Liu, David Pérez-González
, Adrian Rees
, Harry R. Erwin, Stefan Wermter:
Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain. ICANN (1) 2009: 208-217 - [c56]Jindong Liu, David Pérez-González
, Adrian Rees
, Harry R. Erwin, Stefan Wermter:
A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. IJCNN 2009: 1855-1862 - [p1]Kiran Kumar Ravulakollu
, Michael Knowles
, Jindong Liu, Stefan Wermter:
Towards Computational Modelling of Neural Multimodal Integration Based on the Superior Colliculus Concept. Innovations in Neural Information Paradigms and Applications 2009: 269-291 - 2008
- [j27]Chihli Hung, Stefan Wermter:
A novel self-organising clustering model for time-event documents. Electron. Libr. 26(2): 260-272 (2008) - [j26]Nicola Bellotto
, Kevin Burn, Eric Fletcher, Stefan Wermter:
Appearance-based localization for mobile robots using digital zoom and visual compass. Robotics Auton. Syst. 56(2): 143-156 (2008) - [c55]Michael John Knowles
, Stefan Wermter:
The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning. HIS 2008: 404-409 - [c54]John C. Murray, Stefan Wermter, Michael Knowles
:
MIRA: A Learning Multimodal Interactive Robot Agent. HIS 2008: 947-950 - [c53]Jindong Liu, Harry R. Erwin, Stefan Wermter, Mahmoud Elsaid:
A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus. ICANN (2) 2008: 396-405 - [c52]K. K. Kiran Bhagat, Stefan Wermter, Kevin Burn:
Hybrid learning architecture for unobtrusive infrared tracking support. IJCNN 2008: 2703-2709 - [c51]Chi-Yung Yau, Kevin Burn, Stefan Wermter:
A neural wake-sleep learning architecture for associating robotic facial emotions. IJCNN 2008: 2715-2721 - [c50]Abdulrahman Altahhan, Kevin Burn, Stefan Wermter:
Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function. IJCNN 2008: 3861-3868 - [c49]Jindong Liu, Harry R. Erwin, Stefan Wermter:
Mobile robot broadband sound localisation using a biologically inspired spiking neural network. IROS 2008: 2191-2196 - 2007
- [j25]Cornelius Weber, Stefan Wermter:
A self-organizing map of sigma-pi units. Neurocomputing 70(13-15): 2552-2560 (2007) - [c48]Kenneth McGarry
, Sheila Garfield, Stefan Wermter:
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. CBMS 2007: 612-617 - [c47]Kenneth McGarry, Sheila Garfield, Nick Morris, Stefan Wermter:
Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery. NeSy 2007 - 2006
- [j24]Christo Panchev
, Stefan Wermter:
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions. Connect. Sci. 18(1): 1-22 (2006) - [j23]Sheila Garfield, Stefan Wermter:
Call classification using recurrent neural networks, support vector machines and finite state automata. Knowl. Inf. Syst. 9(2): 131-156 (2006) - [j22]David Muse, Cornelius Weber, Stefan Wermter:
Robot docking based on omnidirectional vision and reinforcement learning. Knowl. Based Syst. 19(5): 324-332 (2006) - [j21]Cornelius Weber, David Muse, Mark Elshaw
, Stefan Wermter:
A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot. Knowl. Based Syst. 19(5): 348-355 (2006) - [j20]James Malone, Kenneth McGarry
, Stefan Wermter, Chris Bowerman:
Data mining using rule extraction from Kohonen self-organising maps. Neural Comput. Appl. 15(1): 9-17 (2006) - [j19]Cornelius Weber, Stefan Wermter, Mark Elshaw
:
A hybrid generative and predictive model of the motor cortex. Neural Networks 19(4): 339-353 (2006) - [c46]David Muse, Kevin Burn, Stefan Wermter:
Reinforcement Learning for Platform-Independent Visual Robot Control. IJCNN 2006: 2459-2466 - [c45]John C. Murray, Stefan Wermter, Harry R. Erwin:
Bioinspired Auditory Sound Localisation for Improving the Signal to Noise Ratio of Socially Interactive Robots. IROS 2006: 1206-1211 - 2005
- [j18]Sheila Garfield, Stefan Wermter, Siobhan Devlin:
Spoken language classification using hybrid classifier combination. Int. J. Hybrid Intell. Syst. 2(1): 13-33 (2005) - [c44]Stefan Wermter:
Hybrid Intelligent Systems and Cognitive Robotics. HIS 2005: 4 - [c43]Cornelius Weber, Konstantinos Karantzis, Stefan Wermter:
Grasping with flexible viewing-direction with a learned coordinate transformation network. Humanoids 2005: 253-258 - [c42]Cornelius Weber, David Muse, Mark Elshaw
, Stefan Wermter:
Reinforcement Learning in MirrorBot. ICANN (1) 2005: 305-310 - [c41]Cornelius Weber, Stefan Wermter:
Image Segmentation by Complex-Valued Units. ICANN (1) 2005: 519-524 - [c40]Kenneth McGarry, Stefan Wermter:
Training without data: Knowledge Insertion into RBF Neural Networks. IJCAI 2005: 792-797 - [c39]John C. Murray, Stefan Wermter, Harry R. Erwin:
Auditory robotic tracking of sound sources using hybrid cross-correlation and recurrent networks. IROS 2005: 3554-3559 - [c38]Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw
:
Towards Biomimetic Neural Learning for Intelligent Robots. Biomimetic Neural Learning for Intelligent Robots 2005: 1-18 - [c37]John C. Murray, Harry R. Erwin, Stefan Wermter:
A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots. Biomimetic Neural Learning for Intelligent Robots 2005: 73-87 - [c36]Kaustubh Chokshi, Stefan Wermter, Christo Panchev
, Kevin Burn:
Image Invariant Robot Navigation Based on Self Organising Neural Place Codes. Biomimetic Neural Learning for Intelligent Robots 2005: 88-106 - [c35]Stefan Wermter, Cornelius Weber, Mark Elshaw
, Vittorio Gallese
, Friedemann Pulvermüller
:
Grounding Neural Robot Language in Action. Biomimetic Neural Learning for Intelligent Robots 2005: 162-181 - [c34]David Muse, Cornelius Weber, Stefan Wermter:
Robot Docking Based on Omnidirectional Vision and Reinforcement Learning. SGAI Conf. 2005: 23-36 - [c33]Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter:
A Camera-Direction Dependent Visual-Motor Coordinate Transformation for a Visually Guided Neural Robot. SGAI Conf. (Applications) 2005: 151-164 - [e4]Stefan Wermter, Günther Palm, Mark Elshaw:
Biomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience. Lecture Notes in Computer Science 3575, Springer 2005, ISBN 3-540-27440-5 [contents] - 2004
- [j17]Chihli Hung, Stefan Wermter, Peter Smith:
Hybrid Neural Document Clustering Using Guided Self-Organization and WordNet. IEEE Intell. Syst. 19(2): 68-77 (2004) - [j16]Chihli Hung, Stefan Wermter:
Neural Network Based Document Clustering Using WordNet Ontologies. Int. J. Hybrid Intell. Syst. 1(3-4): 127-142 (2004) - [j15]Christo Panchev
, Stefan Wermter:
Spike-timing-dependent synaptic plasticity: from single spikes to spike trains. Neurocomputing 58-60: 365-371 (2004) - [j14]Cornelius Weber, Stefan Wermter, Alexandros Zochios:
Robot docking with neural vision and reinforcement. Knowl. Based Syst. 17(2-4): 165-172 (2004) - [j13]Stefan Wermter, Cornelius Weber, Mark Elshaw
, Christo Panchev
, Harry R. Erwin, Friedemann Pulvermüller
:
Towards multimodal neural robot learning. Robotics Auton. Syst. 47(2-3): 171-175 (2004) - [c32]Chihli Hung, Stefan Wermter, Peter Smith:
Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering. ECIR 2004: 154-166 - [c31]Shaun Cox, Michael P. Oakes, Stefan Wermter, Maurice Hawthorne:
AudioMine: Medical Data Mining in Heterogeneous Audiology Records. International Conference on Computational Intelligence 2004: 8-11 - 2003
- [j12]Stefan Wermter, Mark Elshaw
, Simon Farrand:
A modular approach to self-organization of robot control based on language instruction. Connect. Sci. 15(2-3): 73-94 (2003) - [j11]Garen Arevian, Stefan Wermter, Christo Panchev
:
Symbolic state transducers and recurrent neural preference machines for text mining. Int. J. Approx. Reason. 32(2-3): 237-258 (2003) - [j10]Stefan Wermter, Mark Elshaw
:
Learning robot actions based on self-organising language memory. Neural Networks 16(5-6): 691-699 (2003) - [c30]Kaustubh Chokshi, Stefan Wermter, Cornelius Weber:
Learning Localisation Based on Landmarks Using Self-Organisation. ICANN 2003: 504-514 - [c29]Sheila Garfield, Stefan Wermter:
Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances. ICANN 2003: 646-653 - [c28]Cornelius Weber, Stefan Wermter:
Object Localisation Using Laterally Connected "What" and "Where" Associator Networks. ICANN 2003: 813-820 - [c27]Chihli Hung, Stefan Wermter:
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering. ICDM 2003: 75-82 - [c26]Chihli Hung, Stefan Wermter:
A Self-Organising Hybrid Model for Dynamic Text Clustering. SGAI Conf. 2003: 141-154 - [c25]Cornelius Weber, Stefan Wermter, Alexandros Zochios:
Robot Docking with Neural Vision and Reinforcement. SGAI Conf. (Applications) 2003: 213-226 - [c24]Mark Elshaw, Debra Lewis, Stefan Wermter:
Incorporating Reactive Learning Behaviour into a Mini-robot Platform. SGAI Conf. 2003: 255-266 - 2002
- [j9]Stefan Wermter, Christo Panchev
:
Hybrid preference machines based on inspiration from neuroscience. Cogn. Syst. Res. 3(2): 255-270 (2002) - [c23]Stefan Wermter, Chihli Hung:
Selforganizing Classification on the Reuters News Corpus. COLING 2002 - [c22]Sheila Garfield, Stefan Wermter:
Recurrent Neural Learning for Helpdesk Call Routing. ICANN 2002: 296-301 - [c21]Christo Panchev
, Stefan Wermter, Huixin Chen:
Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites. ICANN 2002: 896-901 - 2001
- [j8]Stefan Wermter, Ron Sun:
The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop. AI Mag. 22(1): 123-126 (2001) - [j7]Kenneth McGarry, Stefan Wermter, John MacIntyre:
The Extraction and Comparison of Knowledge from Local Function Networks. Int. J. Comput. Intell. Appl. 1(4): 369-382 (2001) - [c20]Steve Womble, Stefan Wermter:
A Mirror Neuron System for Syntax Acquisition. ICANN 2001: 1233-1238 - [c19]Kenneth McGarry, Stefan Wermter, John MacIntyre:
Knowledge Extraction from Local Function Networks. IJCAI 2001: 765-770 - [c18]Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw:
Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19 - [e3]Stefan Wermter, Jim Austin, David J. Willshaw:
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing. Lecture Notes in Computer Science 2036, Springer 2001, ISBN 3-540-42363-X [contents] - 2000
- [j6]Stefan Wermter:
Knowledge Extraction from Transducer Neural Networks. Appl. Intell. 12(1-2): 27-42 (2000) - [j5]Stefan Wermter:
Neural Fuzzy Preference Integration Using Neural Preference Moore Machines. Int. J. Neural Syst. 10(4): 287-309 (2000) - [j4]Stefan Wermter:
Neural Network Agents for Learning Semantic Text Classification. Inf. Retr. 3(2): 87-103 (2000) - [c17]Christo Panchev
, Stefan Wermter:
Complex Preferences for the Integration of Neural Codes. IJCNN (2) 2000: 253-258 - [c16]Stefan Wermter, Christo Panchev
, Garen Arevian:
Meaning Spotting and Robustness of Recurrent Networks. IJCNN (3) 2000: 433-438 - [e2]Stefan Wermter, Ron Sun:
Hybrid Neural Systems, revised papers from a workshop held at NIPS'08, Denver, CO, USA, December 4-5, 1998. Lecture Notes in Computer Science 1778, Springer 2000, ISBN 3-540-67305-9 [contents]
1990 – 1999
- 1999
- [c15]Stefan Wermter, Christo Panchev, Garen Arevian:
Hybrid Neural Plausibility Networks for News Agents. AAAI/IAAI 1999: 93-98 - [c14]Stefan Wermter:
Preference Moore Machines for Neural Fuzzy Integration. IJCAI 1999: 840-845 - [c13]Kenneth J. McGarry, Stefan Wermter, John MacIntyre:
Knowledge extraction from radial basis function networks and multilayer perceptrons. IJCNN 1999: 2494-2497 - [c12]M. J. McAlister, Stefan Wermter:
Rule generation from neural networks for student assessment. IJCNN 1999: 4269-4273 - 1998
- [c11]Stefan Wermter, Ron Sun:
An Overview of Hybrid Neural Systems. Hybrid Neural Systems 1998: 1-13 - [c10]Stefan Wermter, Garen Arevian, Christo Panchev
:
Towards Hybrid Neural Learning Internet Agents. Hybrid Neural Systems 1998: 158-174 - 1997
- [j3]Stefan Wermter, Volker Weber:
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. J. Artif. Intell. Res. 6: 35-85 (1997) - [i3]Stefan Wermter, Volker Weber:
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. CoRR cmp-lg/9702001 (1997) - [i2]Stefan Wermter, Volker Weber:
SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks. CoRR cs.AI/9701102 (1997) - 1996
- [j2]Stefan Wermter, Volker Weber:
Interactive Spoken-Language Processing in a Hybrid Connectionist System. Computer 29(7): 65-74 (1996) - [c9]Stefan Wermter, Matthias Lochel:
Learning dialog act processing. COLING 1996: 740-745 - [c8]Stefan Wermter, Manuela Meurer:
Towards constructive and destructive dynamic network configuration. ESANN 1996 - [e1]Stefan Wermter, Ellen Riloff, Gabriele Scheler
:
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing. Lecture Notes in Computer Science 1040, Springer 1996, ISBN 3-540-60925-3 [contents] - 1995
- [c7]Stefan Wermter, Ellen Riloff, Gabriele Scheler
:
Learning approaches for natural language processing. Learning for Natural Language Processing 1995: 1-16 - [c6]Volker Weber, Stefan Wermter:
Using hybrid connectionist learning for speech/language analysis. Learning for Natural Language Processing 1995: 87-101 - 1994
- [c5]Stefan Wermter, Volker Weber:
Learning Fault-Tolerant Speech Parsing with SCREEN. AAAI 1994: 670-675 - [i1]Stefan Wermter, Volker Weber:
Learning Fault-tolerant Speech Parsing with SCREEN. CoRR abs/cmp-lg/9406024 (1994) - 1993
- [b1]Stefan Wermter:
A hybrid connectionist approach for a scanning understanding of natural language phrases. University of Hamburg, Germany, 1993 - [j1]Stefan Wermter:
Konnektionistische/Hybride Verarbeitung Natürlicher Sprache, Zusammenfassung von der AAAI92, ECAI92, INSP92 und dem Workshop über "Neural Networks and a New AI". Künstliche Intell. 7(1): 42-44 (1993) - 1992
- [c4]Stefan Wermter:
Learning a Scanning Understanding for "Real-world" Library Categorization. ANLP 1992: 251-252 - [c3]Stefan Wermter:
A Hybrid and Connectionist Architecture for a Scanning Understanding. ECAI 1992: 188-192 - 1990
- [c2]Stefan Wermter:
Combining Symbolic and Connectionist Techniques for Coordination in Natural Language. GWAI 1990: 186-195
1980 – 1989
- 1989
- [c1]Stefan Wermter:
Integration of Semantic and Syntactic Constraints for Structural Noun Phrase Disambiguation. IJCAI 1989: 1486-1491
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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