Wermter, Stefan
Universität Hamburg
10 papers on CoChatORCID 0000-0003-1343-4775
Most cited papers
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Continual lifelong learning with neural networks: A review
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., & Wermter, S. (2019) · Neural Networks
Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics
Cited by 3,117
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Survey on reinforcement learning for language processing
Uc-Cetina, V., Navarro-Guerrero, N., Martin-Gonzalez, A., Weber, C., & Wermter, S. (2023) · Artificial Intelligence Review
Speech and dialogue systemsReinforcement Learning in Robotics
Cited by 177
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The OMG-Emotion Behavior Dataset
Barros, P., Churamani, N., Lakomkin, E., Siqueira, H., Sutherland, A., & Wermter, S. (2018) · 2018 International Joint Conference on Neural Networks (IJCNN)
Emotion and Mood RecognitionSentiment Analysis and Opinion Mining
Cited by 121
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Multimodal emotional state recognition using sequence-dependent deep hierarchical features
Barros, P., Jirak, D., Weber, C., & Wermter, S. (2015) · Neural Networks
Emotion and Mood RecognitionSocial Robot Interaction and HRI
Cited by 86
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Explainable goal-driven agents and robots-a comprehensive review
Sado, F., Loo, C. K., Liew, W. S., Kerzel, M., & Wermter, S. (2023) · ACM Computing Surveys
Explainable Artificial Intelligence (XAI)Multi-Agent Systems and Negotiation
Cited by 79
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The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios
Churamani, N., Anton, P., Brügger, M., Fließwasser, E., Hummel, T., Mayer, J., Mustafa, W., Ng, H. G., Nguyen, T. L. C., Nguyen, Q., et al. (2017) · Proceedings of the 5th International Conference on Human Agent Interaction
Social Robot Interaction and HRISpeech and dialogue systems
Cited by 67
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Chat with the Environment: Interactive Multimodal Perception Using Large Language Models
Zhao, X., Li, M., Weber, C., Hafez, M. B., & Wermter, S. (2023) · 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Robot Manipulation and LearningMultimodal Machine Learning Applications
Cited by 62
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Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
Zhao, X., Li, M., Lu, W., Weber, C., Lee, J. H., Chu, K., & Wermter, S. (2024) · Proceedings of the Language Resources and Evaluation Conference
Topic ModelingLogic, Reasoning, and Knowledge
Cited by 26
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Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
Zhao, X., Li, M., Lu, W., Weber, C., Lee, J. H., Chu, K., & Wermter, S. (2023) · arXiv
Topic ModelingLogic, Reasoning, and Knowledge
Cited by 26
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Robot in a crib: How a playing robot helps us understand sensorimotor contingency learning
Spisak, J., Tcaci Popescu, S., Rustler, L., Wermter, S., O’Regan, J. K., & Hoffmann, M. (2026) · Science Robotics
Embodied and Extended CognitionSocial Robot Interaction and HRI
Cited by 0
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