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Publication search results
found 1,204 matches
- 2025
- Sidney Araujo Melo, Leonardo Thurler, Aline Paes, Esteban Clua:
Game provenance graph-based representation learning vs metrics-based machine learning: An empirical comparison on predictive game analytics tasks. Entertain. Comput. 52: 100755 (2025) - 2024
- Tobias Müller:
Challenges in information representation with augmented reality for procedural task support. University of Paderborn, Germany, 2024 - Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser:
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. Cogn. Comput. 16(1): 425-453 (2024) - Yanru Jiang, Rick Dale, Hongjing Lu:
Transformability, generalizability, but limited diffusibility: Comparing global vs. task-specific language representations in deep neural networks. Cogn. Syst. Res. 83: 101184 (2024) - Jiabin Lin, Shana Moothedath:
Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning. IEEE Control. Syst. Lett. 8: 1397-1402 (2024) - Chao Wang, Hui Xia, Shuo Xu, Hao Chi, Rui Zhang, Chunqiang Hu:
FedBnR: Mitigating federated learning Non-IID problem by breaking the skewed task and reconstructing representation. Future Gener. Comput. Syst. 153: 1-11 (2024) - Wei-Hong Li, Xialei Liu, Hakan Bilen:
Universal Representations: A Unified Look at Multiple Task and Domain Learning. Int. J. Comput. Vis. 132(5): 1521-1545 (2024) - Marc Dalmasso, Jose Enrique Domínguez-Vidal, Iván J. Torres-Rodríguez, Pablo Jiménez, Anaís Garrell, Alberto Sanfeliu:
Shared Task Representation for Human-Robot Collaborative Navigation: The Collaborative Search Case. Int. J. Soc. Robotics 16(1): 145-171 (2024) - Ge Liu, Zhongqiang Zhang, Xiangzhong Fang:
Task-Adaptive Multi-Source Representations for Few-Shot Image Recognition. Inf. 15(6): 293 (2024) - Yu Liu, Duantengchuan Li, Jian Wang, Bing Li, Bo Hang:
MDLR: A Multi-Task Disentangled Learning Representations for unsupervised time series domain adaptation. Inf. Process. Manag. 61(2): 103638 (2024) - Aref Farhadipour, Hadi Veisi:
Gammatonegram representation for end-to-end dysarthric speech processing tasks: speech recognition, speaker identification, and intelligibility assessment. Iran J. Comput. Sci. 7(2): 311-324 (2024) - Heejeong Choi, Pilsung Kang:
Multi-task self-supervised time-series representation learning. Inf. Sci. 671: 120654 (2024) - Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao:
You Only Learn One Representation: Unified Network for Multiple Tasks. J. Inf. Sci. Eng. 40(1): 691-709 (2024) - Lena J. Skalaban, Ivan Chan, Kristina M. Rapuano, Qi Lin, May I. Conley, Richard Watts, Erica L. Busch, Vishnu P. Murty, B. J. Casey:
Representational Dissimilarity of Faces and Places during a Working Memory Task is Associated with Subsequent Recognition Memory during Development. J. Cogn. Neurosci. 36(3): 415-434 (2024) - Karthik Chandra Swarna, Noble Saji Mathews, Dheeraj Vagavolu, Sridhar Chimalakonda:
On the impact of multiple source code representations on software engineering tasks - An empirical study. J. Syst. Softw. 210: 111941 (2024) - Xiaofeng Yang, Fayao Liu, Guosheng Lin:
Neural Radiance Selector: Find the best 2D representations of 3D data for CLIP based 3D tasks. Knowl. Based Syst. 299: 112002 (2024) - Linghui Yuan, Xiaowei Lu, Yunlong Liu:
Learning task-relevant representations via rewards and real actions for reinforcement learning. Knowl. Based Syst. 294: 111788 (2024) - Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson:
Multimodal meta-learning through meta-learned task representations. Neural Comput. Appl. 36(15): 8519-8529 (2024) - Elisa Zamboni, Alexis D. J. Makin, Marco Bertamini, Antony B. Morland:
The role of task on the human brain's responses to, and representation of, visual regularity defined by reflection and rotation. NeuroImage 297: 120760 (2024) - Zico Pratama Putra, Deni Setiawan:
Representation of negative numbers: point estimation tasks using multi-reference sonification mappings. PeerJ Comput. Sci. 10: e2275 (2024) - Patrick J. Martin:
Standards Update: Robot Task Representation Standard and User Guide Development [Standards]. IEEE Robotics Autom. Mag. 31(2): 143-153 (2024) - Behrooz Azadi, Michael Haslgrübler, Bernhard Anzengruber-Tanase, Georgios Sopidis, Alois Ferscha:
Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition. Sensors 24(2): 681 (2024) - Tin Barisin, Jesús Angulo, Katja Schladitz, Claudia Redenbach:
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks. SIAM J. Imaging Sci. 17(2): 1284-1313 (2024) - Nastaran Babanejad, Heidar Davoudi, Ameeta Agrawal, Aijun An, Manos Papagelis:
The Role of Preprocessing for Word Representation Learning in Affective Tasks. IEEE Trans. Affect. Comput. 15(1): 254-272 (2024) - Ning Jiang, Gongshu Wang, Chuyang Ye, Tiantian Liu, Tianyi Yan:
Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning. IEEE J. Biomed. Health Informatics 28(9): 5528-5539 (2024) - Wujin Li, Bin-Bin Gao, Bizhong Xia, Jinbao Wang, Jun Liu, Yong Liu, Chengjie Wang, Feng Zheng:
Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning. IEEE Trans. Multim. 26: 5911-5924 (2024) - Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang:
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. AAAI 2024: 10909-10917 - Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. AAAI 2024: 18144-18152 - Fei Ye, Adrian G. Bors:
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster. AAAI 2024: 16451-16459 - Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie:
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. AAAI 2024: 7096-7104
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