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2020 – today
- 2022
[j39]David Biesner
, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Anonymization of German financial documents using neural network-based language models with contextual word representations. Int. J. Data Sci. Anal. 13(2): 151-161 (2022)- [j38]Eldar Sultanow, Christian Bauckhage, Christian Knopf, Nico Piatkowski:
Sicherheit von Quantum Machine Learning. Wirtschaftsinformatik Manag. 14(2): 144-152 (2022) - [i38]Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage:
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. CoRR abs/2201.02885 (2022) - [i37]Christian Bauckhage, Thore Gerlach, Nico Piatkowski:
QUBOs for Sorting Lists and Building Trees. CoRR abs/2203.08815 (2022) - [i36]Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frédéric Barbaresco:
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. CoRR abs/2204.11133 (2022) - [i35]Laura von Rüden, Sebastian Houben, Kostadin Cvejoski, Christian Bauckhage, Nico Piatkowski:
Informed Pre-Training on Prior Knowledge. CoRR abs/2205.11433 (2022) - [i34]Barry D. Reese, Marek Kowalik, Christian Metzl, Christian Bauckhage, Eldar Sultanow:
Predict better with less training data using a QNN. CoRR abs/2206.03960 (2022) - [i33]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. CoRR abs/2208.02140 (2022) - 2021
- [j37]Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage:
Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms. IEEE Access 9: 169044-169055 (2021) - [j36]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. Mach. Learn. Knowl. Extr. 3(1): 123-167 (2021) - [c185]César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez:
Learning Deep Generative Models for Queuing Systems. AAAI 2021: 9214-9222 - [c184]Rajkumar Ramamurthy, Maren Pielka, Robin Stenzel, Christian Bauckhage, Rafet Sifa, Tim Dilmaghani Khameneh, Ulrich Warning, Bernd Kliem, Rüdiger Loitz:
ALiBERT: improved automated list inspection (ALI) with BERT. DocEng 2021: 20:1-20:4 - [c183]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
Decoupling Autoencoders for Robust One-vs-Rest Classification. DSAA 2021: 1-10 - [c182]Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. ESANN 2021 - [c181]Rhys Agombar, Christian Bauckhage, Max Lübbering, Rafet Sifa:
An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks. LION 2021: 1-6 - [c180]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa:
Utilizing Representation Learning for Robust Text Classification Under Datasetshift. LWDA 2021: 157-162 - [c179]Rajkumar Ramamurthy, Max Lübbering, Thiago Bell, Michael Gebauer, Bilge Ulusay, Daniel Uedelhoven, Tim Dilmaghani Khameneh, Rüdiger Loitz, Maren Pielka, Christian Bauckhage, Rafet Sifa:
Automatic Indexing of Financial Documents via Information Extraction. SSCI 2021: 1-5 - [e1]Christian Bauckhage, Juergen Gall, Alexander G. Schwing:
Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 13024, Springer 2021, ISBN 978-3-030-92658-8 [contents] - [i32]Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage:
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. CoRR abs/2104.07538 (2021) - [i31]Kostadin Cvejoski, Ramsés J. Sánchez, Christian Bauckhage, César Ojeda:
Dynamic Review-based Recommenders. CoRR abs/2110.14747 (2021) - [i30]Maurice Günder, Nico Piatkowski, Laura von Rüden, Rafet Sifa, Christian Bauckhage:
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. CoRR abs/2112.10712 (2021) - 2020
- [j35]Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage, Kristian Kersting:
Matrix- and Tensor Factorization for Game Content Recommendation. Künstliche Intell. 34(1): 57-67 (2020) - [c178]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. CD-MAKE 2020: 401-422 - [c177]Christian Bauckhage, Michael Bortz, Rafet Sifa:
Shells within Minimum Enclosing Balls. DSAA 2020: 178-187 - [c176]Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage:
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. ICANN (1) 2020: 27-38 - [c175]Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa:
Hopfield Networks for Vector Quantization. ICANN (2) 2020: 192-203 - [c174]Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Guided Reinforcement Learning via Sequence Learning. ICANN (2) 2020: 335-345 - [c173]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
Supervised Autoencoder Variants for End to End Anomaly Detection. ICPR Workshops (2) 2020: 566-581 - [c172]Pascal Welke, Fouad Alkhoury, Christian Bauckhage, Stefan Wrobel:
Decision Snippet Features. ICPR 2020: 4260-4267 - [c171]César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev:
Auto Encoding Explanatory Examples with Stochastic Paths. ICPR 2020: 6219-6226 - [c170]César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez:
Switching Dynamical Systems with Deep Neural Networks. ICPR 2020: 6305-6312 - [c169]Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage:
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. ICPR 2020: 6696-6701 - [c168]Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage:
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. ICPR 2020: 10203-10210 - [c167]Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke:
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. IDA 2020: 548-560 - [c166]Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa:
Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. IJCNN 2020: 1-6 - [c165]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. IJCNN 2020: 1-8 - [c164]Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Novelty-Guided Reinforcement Learning via Encoded Behaviors. IJCNN 2020: 1-8 - [c163]Christian Bauckhage, Rafet Sifa, Dirk Hecker:
tanh Neurons Are Bayesian Decision Makers. IntelliSys (3) 2020: 703-707 - [c162]Rafet Sifa, Christian Bauckhage:
Novelty Discovery with Kernel Minimum Enclosing Balls. LION 2020: 414-420 - [c161]Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Max-Sum Diversification. SDM 2020: 343-351 - [p7]Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß, Stefan Rüping:
Grundlagen des Maschinellen Lernens. Handbuch der Künstlichen Intelligenz 2020: 429-508 - [p6]Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß:
Tiefe neuronale Netze. Handbuch der Künstlichen Intelligenz 2020: 509-570 - [p5]Christian Bauckhage, Johannes Fürnkranz, Gerhard Paaß:
Vertrauenswürdiges, transparentes und robustesMaschinelles Lernen. Handbuch der Künstlichen Intelligenz 2020: 571-600 - [i29]Tiansi Dong, Chengjiang Li, Christian Bauckhage, Juanzi Li, Stefan Wrobel, Armin B. Cremers:
Learning Syllogism with Euler Neural-Networks. CoRR abs/2007.07320 (2020) - [i28]Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Christian Bauckhage:
Towards Map-Based Validation of Semantic Segmentation Masks. CoRR abs/2011.08008 (2020) - [i27]Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. CoRR abs/2011.08272 (2020) - [i26]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. CoRR abs/2012.05684 (2020) - [i25]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage:
Gradient-free quantum optimization on NISQ devices. CoRR abs/2012.13453 (2020)
2010 – 2019
- 2019
- [j34]Daniel Speicher, Daniel Dong, Olaf Cremers, Christian Bauckhage, Armin B. Cremers:
Notes on the Code Quality Culture on Jupyter (Notebooks). Softwaretechnik-Trends 39(2): 15-16 (2019) - [c160]Tiansi Dong, Zhigang Wang, Juanzi Li, Christian Bauckhage, Armin B. Cremers:
Triple Classification Using Regions and Fine-Grained Entity Typing. AAAI 2019: 77-85 - [c159]Eduardo Brito, Rafet Sifa, Christian Bauckhage:
Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch. GxG@CLIN 2019: 22-29 - [c158]Eduardo Brito, Rafet Sifa, Christian Bauckhage, Rüdiger Loitz, Uwe Lohmeier, Christin Pünt:
A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking. DocEng 2019: 36:1-36:4 - [c157]Rafet Sifa, Anna Ladi, Maren Pielka, Rajkumar Ramamurthy, Lars Patrick Hillebrand, Birgit Kirsch, David Biesner, Robin Stenzel, Thiago Bell, Max Lübbering, Ulrich Nütten, Christian Bauckhage, Ulrich Warning, Benedikt Fürst, Tim Dilmaghani Khameneh, Daniel Thom, Ilgar Huseynov, Roland Kahlert, Jennifer Schlums, Hisham Ismail, Bernd Kliem, Rüdiger Loitz:
Towards Automated Auditing with Machine Learning. DocEng 2019: 41:1-41:4 - [c156]Christian Bauckhage, Rafet Sifa:
Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. DSAA 2019: 252-259 - [c155]Rajkumar Ramamurthy, Robin Stenzel, Rafet Sifa, Anna Ladi, Christian Bauckhage:
Echo State Networks for Named Entity Recognition. ICANN (Workshop) 2019: 110-120 - [c154]Christian Bauckhage, Rafet Sifa, Tiansi Dong:
Prototypes Within Minimum Enclosing Balls. ICANN (Workshop) 2019: 365-376 - [c153]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel:
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) 2019: 595-607 - [c152]Tiansi Dong, Christian Bauckhage, Hailong Jin, Juanzi Li, Olaf Cremers, Daniel Speicher, Armin B. Cremers, Jörg Zimmermann:
Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction. ICLR (Poster) 2019 - [c151]César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage:
Patterns and Outliers in Temporal Point Processes. IntelliSys (1) 2019: 507-526 - [c150]Maren Pielka, Rafet Sifa, Rajkumar Ramamurthy, César Ojeda, Christian Bauckhage:
A Community Detection Based Approach for Exploring Patterns in Player Reviews. IntelliSys (1) 2019: 553-565 - [c149]Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
A QUBO Formulation of the k-Medoids Problem. LWDA 2019: 54-63 - [c148]Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
Max-Sum Dispersion via Quantum Annealing. LWDA 2019: 64-68 - [c147]Eduardo Brito, Bogdan Georgiev, Daniel Domingo-Fernández, Charles Tapley Hoyt, Christian Bauckhage:
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels. LWDA 2019: 74-78 - [c146]Vishwani Gupta, Sven Giesselbach, Stefan Rüping, Christian Bauckhage:
Improving Word Embeddings Using Kernel PCA. RepL4NLP@ACL 2019: 200-208 - [c145]Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Contradiction Detection in German: a Translation-Driven Approach. SSCI 2019: 2497-2505 - [i24]Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker:
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. CoRR abs/1903.12394 (2019) - [i23]César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage:
Recurrent Adversarial Service Times. CoRR abs/1906.09808 (2019) - [i22]Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. CoRR abs/1911.06121 (2019) - [i21]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda:
Recurrent Point Processes for Dynamic Review Models. CoRR abs/1912.04132 (2019) - [i20]Christian Bauckhage, Daniel Schulz, Dirk Hecker:
Informed Machine Learning for Industry. ERCIM News 2019(116) (2019) - 2018
- [j33]Daniel Speicher, Tiansi Dong, Christian Bauckhage, Armin B. Cremers:
Growing Executable Code-Quality-Knowledge Organically. Softwaretechnik-Trends 38(2): 61-62 (2018) - [c144]Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage:
Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation. AIIDE 2018: 102-108 - [c143]Rafet Sifa, Julian Runge, Christian Bauckhage, Daniel Klapper:
Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE. HICSS 2018: 1-10 - [c142]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Policy Learning Using SPSA. ICANN (3) 2018: 3-12 - [c141]Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage:
Simple Recurrent Neural Networks for Support Vector Machine Training. ICANN (3) 2018: 13-22 - [c140]Benjamin Wulff, Jannis Schücker, Christian Bauckhage:
SPSA for Layer-Wise Training of Deep Networks. ICANN (3) 2018: 564-573 - [c139]Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Kernel k=2 Means Clustering. LWDA 2018: 21-32 - [c138]Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel:
Informed Machine Learning Through Functional Composition. LWDA 2018: 33-37 - [i19]Patrick Schramowski, Christian Bauckhage, Kristian Kersting:
Neural Conditional Gradients. CoRR abs/1803.04300 (2018) - 2017
- [c137]Rafet Sifa, Christian Bauckhage:
Online k-Maxoids Clustering. DSAA 2017: 667-675 - [c136]Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel:
Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR 2017: 3-17 - [c135]Christian Bauckhage:
A Neural Network Implementation of Frank-Wolfe Optimization. ICANN (1) 2017: 219-226 - [c134]Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel:
Using Echo State Networks for Cryptography. ICANN (2) 2017: 663-671 - [c133]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Inverse Dynamical Inheritance in Stack Exchange Taxonomies. ICWSM 2017: 644-647 - [c132]Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage:
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. LWDA 2017: 74 - [c131]Eduardo Brito, Rafet Sifa, Christian Bauckhage:
KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences. LWDA 2017: 87 - [i18]Rajkumar Ramamurthy, Christian Bauckhage, Krisztián Búza, Stefan Wrobel:
Using Echo State Networks for Cryptography. CoRR abs/1704.01046 (2017) - [i17]Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
The Slashdot Zoo: Mining a Social Network with Negative Edges. CoRR abs/1710.11395 (2017) - 2016
- [j32]Christian Bauckhage, Kristian Kersting:
Collective Attention on the Web. Found. Trends Web Sci. 5(1-2): 1-136 (2016) - [j31]Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting:
Propagation kernels: efficient graph kernels from propagated information. Mach. Learn. 102(2): 209-245 (2016) - [j30]Shanshan Zhang, Dominik A. Klein, Christian Bauckhage, Armin B. Cremers:
Fast moving pedestrian detection based on motion segmentation and new motion features. Multim. Tools Appl. 75(11): 6263-6282 (2016) - [j29]Marlene Höhne, Amirhossein Jahanbekam, Christian Bauckhage, Nikolai Axmacher, Jürgen Fell:
Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information. NeuroImage 139: 127-135 (2016) - [c130]Rafet Sifa, Sridev Srikanth, Anders Drachen, César Ojeda, Christian Bauckhage:
Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning. CIG 2016: 1-8 - [c129]Christian Bauckhage:
k-Means Clustering via the Frank-Wolfe Algorithm. LWDA 2016: 311-322 - [c128]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Variable Attention and Variable Noise: Forecasting User Activity. LWDA 2016: 347-358 - [p4]Kristian Kersting, Christian Bauckhage, Mirwaes Wahabzada, Anne-Katrin Mahlein, Ulrike Steiner, Erich-Christian Oerke, Christoph Römer, Lutz Plümer:
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants. Computational Sustainability 2016: 99-120 - 2015
- [j28]Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Bauckhage:
High dimensional low sample size activity recognition using geometric classifiers. Digit. Signal Process. 42: 61-69 (2015) - [j27]Abdalrahman Eweiwi, Muhammad Shahzad Cheema, Christian Bauckhage:
Action recognition in still images by learning spatial interest regions from videos. Pattern Recognit. Lett. 51: 8-15 (2015) - [j26]Christian Bauckhage, Anders Drachen, Christian Thurau:
The Age of Analytics. IEEE Trans. Comput. Intell. AI Games 7(3): 205-206 (2015) - [j25]Christian Bauckhage, Anders Drachen, Rafet Sifa:
Clustering Game Behavior Data. IEEE Trans. Comput. Intell. AI Games 7(3): 266-278 (2015) - [j24]Shanshan Zhang, Christian Bauckhage, Dominik A. Klein, Armin B. Cremers:
Exploring Human Vision Driven Features for Pedestrian Detection. IEEE Trans. Circuits Syst. Video Technol. 25(10): 1709-1720 (2015) - [j23]Shanshan Zhang, Christian Bauckhage, Armin B. Cremers:
Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model. IEEE Trans. Intell. Transp. Syst. 16(2): 763-775 (2015) - [c127]Rafet Sifa, Fabian Hadiji, Julian Runge, Anders Drachen, Kristian Kersting, Christian Bauckhage:
Predicting Purchase Decisions in Mobile Free-to-Play Games. AIIDE 2015: 79-85 - [c126]Rafet Sifa, Anders Drachen, Christian Bauckhage:
Large-Scale Cross-Game Player Behavior Analysis on Steam. AIIDE 2015: 198-204 - [c125]Steffen Kampmann, Sven Seele, Rainer Herpers, Peter Becker, Christian Bauckhage:
Automatic mapping of human behavior data to personality model parameters for traffic simulations in virtual environments. CIG 2015: 336-343 - [c124]Christian Bauckhage, Fabian Hadiji, Kristian Kersting:
How Viral Are Viral Videos? ICWSM 2015: 22-30 - [c123]Fabian Hadiji, Martin Mladenov, Christian Bauckhage, Kristian Kersting:
Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation. IJCAI 2015: 171-177 - [c122]Tobias Haubrich, Sven Seele, Rainer Herpers, Christian Bauckhage, Peter Becker:
Modeling Sensation for an Intelligent Virtual Agent's Perception Process. IVA 2015: 87-97 - [c121]Christian Bauckhage, Rafet Sifa:
k-Maxoids Clustering. LWA 2015: 133-144 - [c120]Rafet Sifa, César Ojeda, Christian Bauckhage:
User Churn Migration Analysis with DEDICOM. RecSys 2015: 321-324 - [c119]Christian Bauckhage, Kristian Kersting, Fabian Hadiji:
Parameterizing the Distance Distribution of Undirected Networks. UAI 2015: 121-130 - [i16]Christian Bauckhage, Kristian Kersting, Fabian Hadiji:
Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks. CoRR abs/1501.04232 (2015) - [i15]Shanshan Zhang, Christian Bauckhage, Dominik A. Klein, Armin B. Cremers:
Exploring Human Vision Driven Features for Pedestrian Detection. CoRR abs/1501.06180 (2015) - [i14]Kasra Manshaei, Christian Bauckhage:
SGPD Volume Maximization for Community Detection. CoRR abs/1511.01523 (2015) - [i13]Christian Bauckhage, Markus Ketterl, Ulrich Nütten:
LEARNMINER - Advanced Analytics for eLearning. ERCIM News 2015(101) (2015) - 2014
- [j22]Christian Bauckhage, Kristian Kersting, Christian Thurau:
Künstliche Intelligenz für Computerspiele - Historische Entwicklung und aktuelle Trends. Inform. Spektrum 37(6): 531-538 (2014) - [j21]Muhammad Shahzad Cheema, Abdalrahman Eweiwi, Christian Bauckhage:
Human activity recognition by separating style and content. Pattern Recognit. Lett. 50: 130-138 (2014) - [c118]Abdalrahman Eweiwi, Muhammed Shahzad Cheema, Christian Bauckhage, Juergen Gall:
Efficient Pose-Based Action Recognition. ACCV (5) 2014: 428-443 - [c117]Tobias Haubrich, Sven Seele, Rainer Herpers, Christian Bauckhage, Peter Becker:
Synthetic perception for intelligent virtual agents. CHI PLAY 2014: 421-422 - [c116]