| Year |
Citation |
Score |
| 2015 |
Barros P, Jirak D, Weber C, Wermter S. Multimodal emotional state recognition using sequence-dependent deep hierarchical features. Neural Networks : the Official Journal of the International Neural Network Society. PMID 26548943 DOI: 10.1016/j.neunet.2015.09.009 |
1 |
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| 2015 |
Parisi GI, Weber C, Wermter S. Self-organizing neural integration of pose-motion features for human action recognition. Frontiers in Neurorobotics. 9: 3. PMID 26106323 DOI: 10.3389/fnbot.2015.00003 |
1 |
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| 2015 |
Cruz F, Twiefel J, Magg S, Weber C, Wermter S. Interactive reinforcement learning through speech guidance in a domestic scenario Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280477 |
1 |
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| 2014 |
Cruz F, Magg S, Weber C, Wermter S. Improving reinforcement learning with interactive feedback and affordances Ieee Icdl-Epirob 2014 - 4th Joint Ieee International Conference On Development and Learning and On Epigenetic Robotics. 165-170. DOI: 10.1109/DEVLRN.2014.6982975 |
1 |
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| 2014 |
Johnson DO, Cuijpers RH, Juola JF, Torta E, Simonov M, Frisiello A, Bazzani M, Yan W, Weber C, Wermter S, Meins N, Oberzaucher J, Panek P, Edelmayer G, Mayer P, et al. Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living International Journal of Social Robotics. 6: 195-211. DOI: 10.1007/s12369-013-0217-8 |
1 |
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| 2014 |
Heinrich S, Folleher P, Springstübe P, Strahl E, Twiefel J, Weber C, Wermter S. Object learning with natural language in a distributed intelligent system: A case study of human-robot interaction Advances in Intelligent Systems and Computing. 215: 811-819. DOI: 10.1007/978-3-642-37835-5_70 |
1 |
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| 2014 |
Müller S, Weber C, Wermter S. RatSLAM on humanoids - A bio-inspired SLAM model adapted to a humanoid robot Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8681: 789-796. DOI: 10.1007/978-3-319-11179-7_99 |
1 |
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| 2013 |
Yan W, Weber C, Wermter S. Learning indoor robot navigation using visual and sensorimotor map information. Frontiers in Neurorobotics. 7: 15. PMID 24109451 DOI: 10.3389/fnbot.2013.00015 |
1 |
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| 2013 |
Heinrich S, Weber C, Wermter S. Embodied language understanding with a multiple timescale recurrent neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8131: 216-223. DOI: 10.1007/978-3-642-40728-4_27 |
1 |
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| 2012 |
Bauer J, Weber C, Wermter S. A SOM-based model for multi-sensory integration in the superior colliculus Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252816 |
1 |
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| 2012 |
Yan W, Weber C, Wermter S. A neural approach for robot navigation based on cognitive map learning Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252522 |
1 |
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| 2012 |
Meins N, Jirak D, Weber C, Wermter S. Adaboost and Hopfield Neural Networks on different image representations for robust face detection Proceedings of the 2012 12th International Conference On Hybrid Intelligent Systems, His 2012. 531-536. DOI: 10.1109/HIS.2012.6421390 |
1 |
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| 2012 |
Navarro-Guerrero N, Weber C, Schroeter P, Wermter S. Real-world reinforcement learning for autonomous humanoid robot docking Robotics and Autonomous Systems. 60: 1400-1407. DOI: 10.1016/j.robot.2012.05.019 |
1 |
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| 2012 |
Heinrich S, Weber C, Wermter S. Adaptive learning of linguistic hierarchy in a multiple timescale recurrent neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 555-562. DOI: 10.1007/978-3-642-33269-2_70 |
1 |
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| 2012 |
Zhong J, Weber C, Wermter S. Learning features and predictive transformation encoding based on a horizontal product model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 539-546. DOI: 10.1007/978-3-642-33269-2_68 |
1 |
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| 2012 |
Meins N, Wermter S, Weber C. Hybrid ensembles using Hopfield neural networks and Haar-like features for face detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 403-410. DOI: 10.1007/978-3-642-33269-2_51 |
1 |
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| 2011 |
Saeb S, Weber C, Triesch J. Learning the optimal control of coordinated eye and head movements. Plos Computational Biology. 7: e1002253. PMID 22072953 DOI: 10.1371/journal.pcbi.1002253 |
1 |
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| 2011 |
Yan W, Weber C, Wermter S. A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera Journal of Ambient Intelligence and Smart Environments. 3: 237-252. DOI: 10.3233/AIS-2011-0111 |
1 |
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| 2011 |
Kleesiek J, Engel AK, Weber C, Wermter S. Reward-driven learning of sensorimotor laws and visual features 2011 Ieee International Conference On Development and Learning, Icdl 2011. DOI: 10.1109/DEVLRN.2011.6037358 |
1 |
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| 2011 |
Navarro N, Weber C, Wermter S. Real-world reinforcement learning for autonomous humanoid robot charging in a home environment Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6856: 231-240. DOI: 10.1007/978-3-642-23232-9_21 |
1 |
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| 2011 |
Yan W, Weber C, Wermter S. Person tracking based on a hybrid neural probabilistic model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 365-372. DOI: 10.1007/978-3-642-21738-8_47 |
1 |
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| 2011 |
Zhong J, Weber C, Wermter S. Robot trajectory prediction and recognition based on a computational mirror neurons model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 333-340. DOI: 10.1007/978-3-642-21738-8_43 |
1 |
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| 2009 |
Saeb S, Weber C, Triesch J. Goal-directed learning of features and forward models. Neural Networks : the Official Journal of the International Neural Network Society. 22: 586-92. PMID 19616917 DOI: 10.1016/j.neunet.2009.06.049 |
1 |
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| 2009 |
Weber C, Triesch J. Goal-directed feature learning Proceedings of the International Joint Conference On Neural Networks. 3319-3326. DOI: 10.1109/IJCNN.2009.5179064 |
1 |
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| 2009 |
Saeb S, Weber C, Triesch J. A neural model for the adaptive control of saccadic eye movements Proceedings of the International Joint Conference On Neural Networks. 2740-2747. DOI: 10.1109/IJCNN.2009.5178878 |
1 |
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| 2008 |
Weber C. How do we approach intrinsic motivation computationally. Frontiers in Neurorobotics. 2. PMID 20827402 DOI: 10.3389/neuro.12.001.2008 |
1 |
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| 2008 |
Weber C, Triesch J. A sparse generative model of V1 simple cells with intrinsic plasticity. Neural Computation. 20: 1261-84. PMID 18194109 DOI: 10.1162/neco.2007.02-07-472 |
1 |
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| 2008 |
Weber C, Triesch J. From exploration to planning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5163: 740-749. DOI: 10.1007/978-3-540-87536-9_76 |
1 |
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| 2007 |
Weber C, Wermter S. A self-organizing map of sigma-pi units Neurocomputing. 70: 2552-2560. DOI: 10.1016/j.neucom.2006.05.014 |
1 |
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| 2006 |
Weber C, Wermter S, Elshaw M. A hybrid generative and predictive model of the motor cortex. Neural Networks : the Official Journal of the International Neural Network Society. 19: 339-53. PMID 16352416 DOI: 10.1016/j.neunet.2005.10.004 |
1 |
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| 2006 |
Weber C, Muse D, Elshaw M, Wermter S. A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot Knowledge-Based Systems. 19: 348-355. DOI: 10.1016/j.knosys.2005.11.020 |
1 |
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| 2005 |
Weber C, Karantzis K, Wermter S. Grasping with flexible viewing-direction with a learned coordinate transformation network Proceedings of 2005 5th Ieee-Ras International Conference On Humanoid Robots. 2005: 253-258. DOI: 10.1109/ICHR.2005.1573576 |
1 |
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| 2005 |
Weber C, Wermter S. Image segmentation by complex-valued units Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3696: 519-524. DOI: 10.1007/11550822_81 |
1 |
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| 2005 |
Weber C, Muse D, Elshaw M, Wermter S. Reinforcement learning in MirrorBot Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3696: 305-310. DOI: 10.1007/11550822_48 |
1 |
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| 2005 |
Wermter S, Weber C, Elshaw M, Gallese V, Pulvermüller F. Grounding neural robot language in action Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3575: 162-181. DOI: 10.1007/11521082_10 |
1 |
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| 2005 |
Wermter S, Palm G, Weber C, Elshaw M. Towards biomimetic neural learning for intelligent robots Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3575: 1-18. DOI: 10.1007/11521082_1 |
1 |
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| 2004 |
Wermter S, Weber C, Elshaw M, Panchev C, Erwin H, Pulverm̈uller F. Towards multimodal neural robot learning Robotics and Autonomous Systems. 47: 171-175. DOI: 10.1016/j.robot.2004.03.011 |
1 |
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| 2004 |
Weber C, Wermter S, Zochios A. Robot docking with neural vision and reinforcement Knowledge-Based Systems. 17: 165-172. DOI: 10.1016/j.knosys.2004.03.012 |
1 |
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