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ORCIDStefan Wermter
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- affiliation: University of Hamburg, Germany
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2020 – today
- 2025
[j123]Hugo C. C. Carneiro
, Stefan Wermter:
FabuLight-ASD: unveiling speech activity via body language. Neural Comput. Appl. 37(5): 3561-3579 (2025)- [j122]Mostafa Kotb, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning. IEEE Robotics Autom. Lett. 10(1): 112-119 (2025) - [j121]Dennis Becker, Lukas Braach, Lennart Clasmeier, Teresa Kaufmann, Oskar Ong, Kyra Ahrens, Connor Gäde, Erik Strahl, Di Fu, Stefan Wermter:
Influence of Robots' Voice Naturalness on Trust and Compliance. ACM Trans. Hum. Robot Interact. 14(2): 29:1-29:25 (2025) - [j120]Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter:
Mental Modelling of Reinforcement Learning Agents by Language Models. Trans. Mach. Learn. Res. 2025 (2025) - [j119]Leyuan Qu, Cornelius Weber, Wei Wang, Jia Jin, Yingming Gao, Taihao Li, Stefan Wermter:
Disentanglement of Prosody Representations via Diffusion Models and Scheduled Gradient Reversal. IEEE Trans. Neural Networks Learn. Syst. 36(8): 15043-15054 (2025) - [c300]Luca Müller, Hassan Ali, Philipp Allgeuer, Lukás Gajdosech, Stefan Wermter:
Pointing-Guided Target Estimation via Transformer-Based Attention. ICANN (5) 2025: 85-97 - [c299]Lennart Clasmeier, Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter:
Keypoint-Based Diffusion for Robotic Motion Planning on the NICOL Robot. ICANN (5) 2025: 98-110 - [c298]Josua Spisak, Jan Benad, Johannes Heidersberger, Stephan Verschoor, Pablo Lanillos, Dongheui Lee, Manfred Eppe, Stefan Wermter, Matej Hoffmann, Sergiu Tcaci Popescu:
Computational models of the emergence of self-exploration in 2-month-old infants. ICDL 2025: 1-8 - [c297]Jonas Werner, Kun Chu, Cornelius Weber, Stefan Wermter:
LLM-based Interactive Imitation Learning for Robotic Manipulation. IJCNN 2025: 1-9 - [c296]Philipp Allgeuer, Kyra Ahrens, Stefan Wermter:
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion. WACV 2025: 8217-8228 - [d3]Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter:
IROS Code: Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks. Zenodo, 2025
- [d2]Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter:
IROS Data: Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks. Zenodo, 2025 - [d1]Luca Müller, Hassan Ali, Philipp Allgeuer, Lukás Gajdosech, Stefan Wermter:
ICANN Code: Pointing-Guided Target Estimation via Transformer-Based Attention. Zenodo, 2025 - [i171]Josua Spisak, Matthias Kerzel, Stefan Wermter:
DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model. CoRR abs/2501.16800 (2025) - [i170]Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter:
Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks. CoRR abs/2503.04308 (2025) - [i169]Kun Chu, Xufeng Zhao, Cornelius Weber, Stefan Wermter:
LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language. CoRR abs/2503.17309 (2025) - [i168]Theodor Wulff, Fares Abawi, Philipp Allgeuer, Stefan Wermter:
Balancing long- and short-term dynamics for the modeling of saliency in videos. CoRR abs/2504.05913 (2025) - [i167]Josua Spisak, Sergiu Tcaci Popescu, Stefan Wermter, Matej Hoffmann, J. Kevin O'Regan:
A computational model of infant sensorimotor exploration in the mobile paradigm. CoRR abs/2504.17939 (2025) - [i166]Jonas Werner, Kun Chu, Cornelius Weber, Stefan Wermter:
LLM-based Interactive Imitation Learning for Robotic Manipulation. CoRR abs/2504.21769 (2025) - [i165]Mengdi Li, Jiaye Lin, Xufeng Zhao, Wenhao Lu, Peilin Zhao, Stefan Wermter, Di Wang:
Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback. CoRR abs/2505.20075 (2025) - [i164]Ferran Gebellí, Anaís Garrell, Jan-Gerrit Habekost, Séverin Lemaignan, Stefan Wermter, Raquel Ros:
Personalised Explanations in Long-term Human-Robot Interactions. CoRR abs/2507.03049 (2025) - [i163]Burak Can Kaplan, Hugo Cesar de Castro Carneiro, Stefan Wermter:
Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations? CoRR abs/2508.05474 (2025) - [i162]Theresa Pekarek-Rosin, Burak Can Kaplan, Stefan Wermter:
Large Language Model Data Generation for Enhanced Intent Recognition in German Speech. CoRR abs/2508.06277 (2025) - [i161]Theresa Pekarek-Rosin, Julia Gachot, Henri-Leon Kordt, Matthias Kerzel, Stefan Wermter:
Talking to Robots: A Practical Examination of Speech Foundation Models for HRI Applications. CoRR abs/2508.17753 (2025) - [i160]Lennart Clasmeier, Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter:
Keypoint-based Diffusion for Robotic Motion Planning on the NICOL Robot. CoRR abs/2509.04076 (2025) - [i159]Luca Müller, Hassan Ali, Philipp Allgeuer, Lukás Gajdosech, Stefan Wermter:
Pointing-Guided Target Estimation via Transformer-Based Attention. CoRR abs/2509.05031 (2025) - [i158]Hans Hergen Lehmann, Jae Hee Lee, Steven Schockaert, Stefan Wermter:
Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities. CoRR abs/2510.16815 (2025) - 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) - [c295]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 - [c294]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 - [c293]Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter:
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? ECCV Workshops (21) 2024: 266-287 - [c292]Connor Gäde, Ozan Özdemir, Cornelius Weber, Stefan Wermter:
Embodying Language Models in Robot Action. ESANN 2024 - [c291]Di Fu, Fares Abawi, Philipp Allgeuer, Stefan Wermter:
Human Impression of Humanoid Robots Mirroring Social Cues. HRI (Companion) 2024: 458-462 - [c290]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 - [c289]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Diffusing in Someone Else's Shoes: Robotic Perspective-Taking with Diffusion. Humanoids 2024: 141-148 - [c288]Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Wenhao Lu, Stefan Wermter:
Large Language Models for Orchestrating Bimanual Robots. Humanoids 2024: 328-334 - [c287]Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukás Gajdosech, Stefan Wermter:
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation. Humanoids 2024: 811-818 - [c286]Xingzhong Zhang, Joon Huang Chuah, Chu Kiong Loo, Stefan Wermter:
An Energy Sampling Replay-Based Continual Learning Framework. ICANN (2) 2024: 17-30 - [c285]Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter:
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. ICANN (4) 2024: 261-275 - [c284]Philipp Allgeuer, Hassan Ali, Stefan Wermter:
When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. ICANN (4) 2024: 306-321 - [c283]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 - [c282]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Robotic Imitation of Human Actions. ICDL 2024: 1-6 - [c281]Connor Gäde, Jan-Gerrit Habekost, Stefan Wermter:
Domain Adaption as Auxiliary Task for Sim-to-Real Transfer in Vision-based Neuro-Robotic Control. IJCNN 2024: 1-8 - [c280]Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter:
Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents. IROS 2024: 7315-7322 - [c279]Theresa Pekarek-Rosin, Vanessa Hassouna, Xiaowen Sun, Luca Krohm, Henri-Leon Kordt, Michael Beetz, Stefan Wermter:
A Framework for Adapting Human-Robot Interaction to Diverse User Groups. ICSR + AI (3) 2024: 24-38 - [c278]Hassan Ali, Philipp Allgeuer, Stefan Wermter:
Comparing Apples to Oranges: LLM-Powered Multimodal Intention Prediction in an Object Categorization Task. ICSR + AI (3) 2024: 292-306 - [i157]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) - [i156]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Robotic Imitation of Human Actions. CoRR abs/2401.08381 (2024) - [i155]Di Fu, Fares Abawi, Philipp Allgeuer, Stefan Wermter:
Human Impression of Humanoid Robots Mirroring Social Cues. CoRR abs/2401.12076 (2024) - [i154]Kun Chu, Xufeng Zhao, Cornelius Weber, Mengdi Li, Wenhao Lu, Stefan Wermter:
Large Language Models for Orchestrating Bimanual Robots. CoRR abs/2404.02018 (2024) - [i153]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Diffusing in Someone Else's Shoes: Robotic Perspective Taking with Diffusion. CoRR abs/2404.07735 (2024) - [i152]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) - [i151]Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter:
Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents. CoRR abs/2404.08825 (2024) - [i150]Fares Abawi, Di Fu, Stefan Wermter:
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models. CoRR abs/2405.02929 (2024) - [i149]Xufeng Zhao, Cornelius Weber, Stefan Wermter:
Agentic Skill Discovery. CoRR abs/2405.15019 (2024) - [i148]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) - [i147]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) - [i146]Philipp Allgeuer, Hassan Ali, Stefan Wermter:
When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. CoRR abs/2407.00518 (2024) - [i145]Philipp Allgeuer, Kyra Ahrens, Stefan Wermter:
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion. CoRR abs/2407.11211 (2024) - [i144]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) - [i143]Mostafa Kotb, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
QT-TDM: Planning with Transformer Dynamics Model and Autoregressive Q-Learning. CoRR abs/2407.18841 (2024) - [i142]Jae Hee Lee, Georgii Mikriukov, Gesina Schwalbe, Stefan Wermter, Diedrich Wolter:
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? CoRR abs/2409.13456 (2024) - [i141]Theresa Pekarek-Rosin, Vanessa Hassouna, Xiaowen Sun, Luca Krohm, Henri-Leon Kordt, Michael Beetz, Stefan Wermter:
A Framework for Adapting Human-Robot Interaction to Diverse User Groups. CoRR abs/2410.11377 (2024) - [i140]Hugo C. C. Carneiro, Stefan Wermter:
FabuLight-ASD: Unveiling Speech Activity via Body Language. CoRR abs/2411.13674 (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) - [c277]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 - [c276]Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter:
Visually Grounded Continual Language Learning with Selective Specialization. EMNLP (Findings) 2023: 7037-7054 - [c275]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 - [c274]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification. ICANN (1) 2023: 444-456 - [c273]Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter:
CycleIK: Neuro-inspired Inverse Kinematics. ICANN (1) 2023: 457-470 - [c272]Theresa Pekarek-Rosin, Stefan Wermter:
Replay to Remember: Continual Layer-Specific Fine-Tuning for German Speech Recognition. ICANN (7) 2023: 489-500 - [c271]Martin Gromniak, Sven Magg, Stefan Wermter:
Neural Field Conditioning Strategies for 2D Semantic Segmentation. ICANN (2) 2023: 520-532 - [c270]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 - [c269]Daniel Speck, Theresa Pekarek-Rosin, Matthias Kerzel, Stefan Wermter:
The Importance of Growing Up: Progressive Growing GANs for Image Inpainting. ICDL 2023: 294-299 - [c268]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 - [c267]Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Internally Rewarded Reinforcement Learning. ICML 2023: 20556-20574 - [c266]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 - [c265]Mostafa Kotb, Cornelius Weber, Stefan Wermter:
Sample-Efficient Real-Time Planning with Curiosity Cross-Entropy Method and Contrastive Learning. IROS 2023: 9456-9463 - [c264]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 - [c263]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) - [c262]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 - [c261]Yuliia Lysa, Cornelius Weber, Dennis Becker, Stefan Wermter:
Word-by-Word Generation of Visual Dialog Using Reinforcement Learning. ICANN (2) 2022: 123-135 - [c260]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 - [c259]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 - [c258]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 - [c257]Caspar Volquardsen, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning. ICANN (3) 2022: 417-428 - [c256]Younes Raoui, Cornelius Weber, Stefan Wermter:
NeoSLAM: Neural Object SLAM for Loop Closure and Navigation. ICANN (3) 2022: 443-455 - [c255]Huajian Fang, Tal Peer, Stefan Wermter, Timo Gerkmann:
Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. ICASSP 2022: 386-390 - [c254]Frank Röder, Manfred Eppe, Stefan Wermter:
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics. ICDL 2022: 170-177 - [c253]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 - [c252]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 - [c251]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 - [c250]Chandrakant Bothe, Stefan Wermter:
Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts. LREC 2022: 2395-2400 - [c249]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 - [c248]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 - [c247]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) - [c246]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 - [c245]Björn Plüster, Cornelius Weber, Leyuan Qu, Stefan Wermter:
Hearing Faces: Target Speaker Text-to-Speech Synthesis from a Face. ASRU 2021: 757-764 - [c244]Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter:
Lifelong Learning from Event-based Data. ESANN 2021 - [c243]Vincent Rolfs, Matthias Kerzel, Stefan Wermter:
Pruning Neural Networks with Supermasks. ESANN 2021 - [c242]Kyra Ahrens, Fares Abawi, Stefan Wermter:
DRILL: Dynamic Representations for Imbalanced Lifelong Learning. ICANN (2) 2021: 409-420 - [c241]Hugo C. C. Carneiro, Cornelius Weber, Stefan Wermter:
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. ICANN (1) 2021: 439-450 - [c240]Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann:
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. ICASSP 2021: 676-680 - [c239]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 - [c238]Glareh Mir, Matthias Kerzel, Erik Strahl, Stefan Wermter:
A Humanoid Robot Learning Audiovisual Classification By Active Exploration. ICDL 2021: 1-6 - [c237]Ozan Özdemir, Matthias Kerzel, Stefan Wermter:
Embodied Language Learning with Paired Variational Autoencoders. ICDL 2021: 1-6 - [c236]Fares Abawi, Tom Weber, Stefan Wermter:
GASP: Gated Attention for Saliency Prediction. IJCAI 2021: 584-591 - [c235]Aaron Eisermann, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Generalization in Multimodal Language Learning from Simulation. IJCNN 2021: 1-8 - [c234]Matthias Möller, Johannes Twiefel, Cornelius Weber, Stefan Wermter:
Controlling the Noise Robustness of End-to-End Automatic Speech Recognition Systems. IJCNN 2021: 1-8 - [c233]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 - [c232]Christoper Wulur, Cornelius Weber, Stefan Wermter:
Planning-integrated Policy for Efficient Reinforcement Learning in Sparse-reward Environments. IJCNN 2021: 1-8 - [c231]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 - [c230]Muhammad Burhan Hafez, Stefan Wermter:
Behavior Self-Organization Supports Task Inference for Continual Robot Learning. IROS 2021: 6739-6746 - [c229]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) - [c228]Henrique Siqueira, Sven Magg, Stefan Wermter:
Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks. AAAI 2020: 5800-5809 - [c227]Doreen Jirak, Stefan Wermter:
New Results on Sparse Autoencoders for Posture Classification and Segmentation. ESANN 2020: 187-192 - [c226]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 - [c225]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 - [c224]Frank Röder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
Curious Hierarchical Actor-Critic Reinforcement Learning. ICANN (2) 2020: 408-419 - [c223]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 - [c222]Matthias Kerzel, Josua Spisak, Erik Strahl, Stefan Wermter:
Neuro-Genetic Visuomotor Architecture for Robotic Grasping. ICANN (2) 2020: 533-545 - [c221]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 - [c220]Mengdi Li, Cornelius Weber, Stefan Wermter:
Neural Networks for Detecting Irrelevant Questions During Visual Question Answering. ICANN (2) 2020: 786-797 - [c219]Leyuan Qu, Cornelius Weber, Stefan Wermter:
Multimodal Target Speech Separation with Voice and Face References. INTERSPEECH 2020: 1416-1420 - [c218]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators. LREC 2020: 620-627 - [c217]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) - [c216]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 - [c215]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 - [c214]Alexandra Lindt, Pablo V. A. Barros, Henrique Siqueira, Stefan Wermter:
Facial Expression Editing with Continuous Emotion Labels. FG 2019: 1-8 - [c213]Stephan Tietz, Doreen Jirak, Stefan Wermter:
A Reservoir Computing Framework for Continuous Gesture Recognition. ICANN (Workshop) 2019: 7-18 - [c212]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 - [c211]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 - [c210]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 - [c209]Sayantan Auddy, Sven Magg, Stefan Wermter:
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. ICDL-EPIROB 2019: 13-18 - [c208]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 - [c207]Manfred Eppe, Sven Magg, Stefan Wermter:
Curriculum goal masking for continuous deep reinforcement learning. ICDL-EPIROB 2019: 183-188 - [c206]Tobias Hinz, Stefan Heinrich, Stefan Wermter:
Generating Multiple Objects at Spatially Distinct Locations. ICLR (Poster) 2019 - [c205]Pablo V. A. Barros, German Ignacio Parisi, Stefan Wermter:
A Personalized Affective Memory Model for Improving Emotion Recognition. ICML 2019: 485-494 - [c204]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 - [c203]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 - [c202]Tayfun Alpay, Stefan Heinrich, Michael Nelskamp, Stefan Wermter:
Question Answering with Hierarchical Attention Networks. IJCNN 2019: 1-8 - [c201]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 - [c200]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 - [c199]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 - [c198]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 - [c197]Alexander Sutherland, Sven Magg, Stefan Wermter:
Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations. IJCNN 2019: 1-6 - [c196]Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter:
Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics. INTERSPEECH 2019: 934-938 - [c195]Leyuan Qu, Cornelius Weber, Stefan Wermter:
LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading. INTERSPEECH 2019: 2768-2772 - [c194]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 - [c193]Chandrakant Bothe, Stefan Wermter:
MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues. SemEval@NAACL-HLT 2019: 261-265 - [c192]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 Rossana 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) - [c191]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 - [c190]Tayfun Alpay, Fares Abawi, Stefan Wermter:
Surprisal-based activation in recurrent neural networks. ESANN 2018 - [c189]Manfred Eppe, Tayfun Alpay, Fares Abawi, Stefan Wermter:
An analysis of subtask-dependency in robot command interpretation with dilated CNNs. ESANN 2018 - [c188]Muhammad Burhan Hafez, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. ESANN 2018 - [c187]Tobias Hinz, Stefan Wermter:
Inferencing based on unsupervised learning of disentangled representations. ESANN 2018 - [c186]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 - [c185]Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter:
Image-to-Text Transduction with Spatial Self-Attention. ESANN 2018 - [c184]Peer Springstübe, Stefan Heinrich, Stefan Wermter:
Continuous convolutional object tracking. ESANN 2018 - [c183]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 - [c182]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 - [c181]Manfred Eppe, Tayfun Alpay, Stefan Wermter:
Towards End-to-End Raw Audio Music Synthesis. ICANN (3) 2018: 137-146 - [c180]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 - [c179]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 - [c178]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 - [c177]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 - [c176]Stefan Heinrich, Tayfun Alpay, Stefan Wermter:
Adaptive and Variational Continuous Time Recurrent Neural Networks. ICDL-EPIROB 2018: 13-18 - [c175]Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter:
EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning. ICRA 2018: 1-6 - [c174]Francisco Cruz, German Ignacio Parisi, Stefan Wermter:
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. IJCNN 2018: 1-8 - [c173]Pablo V. A. Barros, Nikhil Churamani, Egor Lakomkin, Henrique Siqueira, Alexander Sutherland, Stefan Wermter:
The OMG-Emotion Behavior Dataset. IJCNN 2018: 1-7 - [c172]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 - [c171]Nikhil Churamani, Pablo V. A. Barros, Erik Strahl, Stefan Wermter:
Learning Empathy-Driven Emotion Expressions using Affective Modulations. IJCNN 2018: 1-8 - [c170]Tobias Hinz, Stefan Wermter:
Image Generation and Translation with Disentangled Representations. IJCNN 2018: 1-8 - [c169]Doreen Jirak, Stefan Wermter:
Sparse Autoencoders for Posture Recognition. IJCNN 2018: 1-10 - [c168]Matthias Kerzel, Hadi Beik-Mohammadi, Mohammad-Ali Zamani, Stefan Wermter:
Accelerating Deep Continuous Reinforcement Learning through Task Simplification. IJCNN 2018: 1-6 - [c167]Luiza Mici, German Ignacio Parisi, Stefan Wermter:
Recognition and Prediction of Human-Object Interactions with a Self-Organizing Architecture. IJCNN 2018: 1-8 - [c166]Marcelo Borghetti Soares, Stefan Wermter:
Point Cloud Object Recognition using 3D Convolutional Neural Networks. IJCNN 2018: 1-8 - [c165]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 - [c164]Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter:
Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks. INTERSPEECH 2018: 996-1000 - [c163]Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. IROS 2018: 284-289 - [c162]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 - [c161]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 - [c160]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 - [c159]Erik Strahl, Matthias Kerzel, Manfred Eppe, Sascha S. Griffiths, Stefan Wermter:
Hear the Egg - Demonstrating Robotic Interactive Auditory Perception. IROS 2018: 5041 - [c158]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 - [c157]Francisco Cruz, Peter Wuppen, Alvin Fazrie, Cornelius Weber, Stefan Wermter:
Action Selection Methods in a Robotic Reinforcement Learning Scenario. LA-CCI 2018: 1-6 - [c156]Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter:
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks. LREC 2018 - [c155]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) - [c154]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 - [c153]German Ignacio Parisi, Stefan Wermter:
Lifelong Learning of Action Representations with Deep Neural Self-Organization. AAAI Spring Symposia 2017 - [c152]Egor Lakomkin, Cornelius Weber, Stefan Wermter:
Automatically augmenting an emotion dataset improves classification using audio. EACL (2) 2017: 194-197 - [c151]Melanie Remmels, Nicolás Navarro-Guerrero, Stefan Wermter:
Comparison of Behaviour-Based Architectures for a Collaborative Package Delivery Task. HAI 2017: 121-129 - [c150]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 - [c149]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 - [c148]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 - [c147]Marian Tietz, Tayfun Alpay, Johannes Twiefel, Stefan Wermter:
Semi-supervised Phoneme Recognition with Recurrent Ladder Networks. ICANN (1) 2017: 3-10 - [c146]Matthias Kerzel, Stefan Wermter:
Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction. ICANN (1) 2017: 27-34 - [c145]Xiaomao Zhou, Cornelius Weber, Stefan Wermter:
Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells. ICANN (1) 2017: 137-145 - [c144]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 - [c143]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 - [c142]Muhammad Burhan Hafez, Cornelius Weber, Stefan Wermter:
Curiosity-driven exploration enhances motor skills of continuous actor-critic learner. ICDL-EPIROB 2017: 39-46 - [c141]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 - [c140]Francisco Cruz, Peter Wuppen, Sven Magg, Alvin Fazrie, Stefan Wermter:
Agent-advising approaches in an interactive reinforcement learning scenario. ICDL-EPIROB 2017: 209-214 - [c139]Johannes Twiefel, Xavier Hinaut, Stefan Wermter:
Syntactic reanalysis in language models for speech recognition. ICDL-EPIROB 2017: 215-220 - [c138]Egor Lakomkin, Cornelius Weber, Sven Magg, Stefan Wermter:
Reusing Neural Speech Representations for Auditory Emotion Recognition. IJCNLP(1) 2017: 423-430 - [c137]Pablo V. A. Barros, Stefan Wermter:
A self-organizing model for affective memory. IJCNN 2017: 31-38 - [c136]Matthias Kerzel, Moaaz Ali, Hwei Geok Ng, Stefan Wermter:
Haptic material classification with a multi-channel neural network. IJCNN 2017: 439-446 - [c135]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 - [c134]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 - [c133]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 - [c132]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) - [c131]Vidwath Raj, Sven Magg, Stefan Wermter:
Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks. ANNPR 2016: 150-162 - [c130]Francisco Cruz, German Ignacio Parisi, Stefan Wermter:
Learning contextual affordances with an associative neural architecture. ESANN 2016 - [c129]Luiza Mici, Xavier Hinaut, Stefan Wermter:
Activity recognition with echo state networks using 3D body joints and objects category. ESANN 2016 - [c128]Eleni Tsironi, Pablo V. A. Barros, Stefan Wermter:
Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network. ESANN 2016 - [c127]Johannes Twiefel, Xavier Hinaut, Stefan Wermter:
Semantic Role Labelling for Robot Instructions using Echo State Networks. ESANN 2016 - [c126]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 - [c125]Tayfun Alpay, Stefan Heinrich, Stefan Wermter:
Learning Multiple Timescales in Recurrent Neural Networks. ICANN (1) 2016: 132-139 - [c124]Luiza Mici, German Ignacio Parisi, Stefan Wermter:
Recognition of Transitive Actions with Hierarchical Neural Network Learning. ICANN (2) 2016: 472-479 - [c123]Xavier Hinaut, Johannes Twiefel, Stefan Wermter:
Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures. ICDL-EPIROB 2016: 150-151 - [c122]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 - [c121]Pablo V. A. Barros, Cornelius Weber, Stefan Wermter:
Learning auditory neural representations for emotion recognition. IJCNN 2016: 921-928 - [c120]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 - [c119]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 - [c118]Stefan Heinrich, Cornelius Weber, Stefan Wermter, Ruobing Xie, Yankai Lin, Zhiyuan Liu:
Crossmodal Language Grounding, Learning, and Teaching. CoCo@NIPS 2016 - [c117]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 - [c116]German Ignacio Parisi, Sven Magg, Stefan Wermter:
Human motion assessment in real time using recurrent self-organization. RO-MAN 2016: 71-76 - [c115]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) - [c114]Doreen Jirak, Pablo V. A. Barros, Stefan Wermter:
Dynamic gesture recognition using Echo State Networks. ESANN 2015 - [c113]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 - [c112]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 - [c111]Francisco Cruz, Johannes Twiefel, Sven Magg, Cornelius Weber, Stefan Wermter:
Interactive reinforcement learning through speech guidance in a domestic scenario. IJCNN 2015: 1-8 - [c110]Dennis Hamester, Pablo V. A. Barros, Stefan Wermter:
Face expression recognition with a 2-channel Convolutional Neural Network. IJCNN 2015: 1-8 - [c109]German Ignacio Parisi, Florian von Stosch, Sven Magg, Stefan Wermter:
Learning human motion feedback with neural self-organization. IJCNN 2015: 1-6 - [c108]German Ignacio Parisi, Johannes Bauer, Erik Strahl, Stefan Wermter:
A Multi-modal Approach for Assistive Humanoid Robots. MuSRobS@IROS 2015: 10-15 - [c107]Pablo V. A. Barros, Stefan Wermter:
Recognizing complex mental states with deep hierarchical features for Human-Robot Interaction. IROS 2015: 4065-4070 - [c106]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) - [c105]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 - [c104]German Ignacio Parisi, Pablo V. A. Barros, Stefan Wermter:
FINGeR: Framework for interactive neural-based gesture recognition. ESANN 2014 - [c103]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 - [c102]German Ignacio Parisi, Erik Strahl, Stefan Wermter:
Robust fall detection with an assistive humanoid robot. Humanoids 2014: 1013 - [c101]Xavier Hinaut, Stefan Wermter:
An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks. ICANN 2014: 33-40 - [c100]German Ignacio Parisi, Cornelius Weber, Stefan Wermter:
Human Action Recognition with Hierarchical Growing Neural Gas Learning. ICANN 2014: 89-96 - [c99]Stefan Heinrich, Stefan Wermter:
Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks. ICANN 2014: 193-200 - [c98]Pablo V. A. Barros, Sven Magg, Cornelius Weber, Stefan Wermter:
A Multichannel Convolutional Neural Network for Hand Posture Recognition. ICANN 2014: 403-410 - [c97]Jorge Dávila-Chacón, Johannes Twiefel, Jindong Liu, Stefan Wermter:
Improving Humanoid Robot Speech Recognition with Sound Source Localisation. ICANN 2014: 619-626 - [c96]Stefan Müller, Cornelius Weber, Stefan Wermter:
RatSLAM on Humanoids - A Bio-Inspired SLAM Model Adapted to a Humanoid Robot. ICANN 2014: 789-796 - [c95]Francisco Cruz, Sven Magg, Cornelius Weber, Stefan Wermter:
Improving reinforcement learning with interactive feedback and affordances. ICDL-EPIROB 2014: 165-170 - [c94]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) - [c93]Stefan Heinrich, Cornelius Weber, Stefan Wermter:
Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network. ICANN 2013: 216-223 - [c92]Dennis Hamester, Doreen Jirak, Stefan Wermter:
Improved estimation of hand postures using depth images. ICAR 2013: 1-6 - [c91]Johannes Bauer, Stefan Wermter:
Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data. IJCAI 2013: 1226-1232 - [c90]Jorge Dávila-Chacón, Sven Magg, Jindong Liu, Stefan Wermter:
Neural and statistical processing of spatial cues for sound source localisation. IJCNN 2013: 1-8 - [c89]Nils Meins, Sven Magg, Stefan Wermter:
Neural Hopfield-ensemble for multi-class head pose detection. IJCNN 2013: 1-8 - [c88]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) - [c87]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
A Fast Subspace Text Categorization Method Using Parallel Classifiers. CICLing (2) 2012: 132-143 - [c86]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 - [c85]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 - [c84]Jens Kleesiek, Stephanie Badde, Stefan Wermter, Andreas K. Engel:
Action-Driven Perception for a Humanoid. ICAART (Revised Selected Papers) 2012: 83-99 - [c83]Jorge Dávila-Chacón, Stefan Heinrich, Jindong Liu, Stefan Wermter:
Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. ICANN (1) 2012: 239-246 - [c82]Nils Meins, Stefan Wermter, Cornelius Weber:
Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection. ICANN (1) 2012: 403-410 - [c81]Junpei Zhong, Cornelius Weber, Stefan Wermter:
Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model. ICANN (1) 2012: 539-546 - [c80]Stefan Heinrich, Cornelius Weber, Stefan Wermter:
Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network. ICANN (1) 2012: 555-562 - [c79]Johannes Bauer, Cornelius Weber, Stefan Wermter:
A SOM-based model for multi-sensory integration in the superior colliculus. IJCNN 2012: 1-8 - [c78]Nicolás Navarro-Guerrero, Robert J. Lowe, Stefan Wermter:
A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach. IJCNN 2012: 1-8 - [c77]Wenjie Yan, Cornelius Weber, Stefan Wermter:
A neural approach for robot navigation based on cognitive map learning. IJCNN 2012: 1-8 - [c76]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) - [c75]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
Hybrid classifiers for improved semantic subspace learning of news documents. HIS 2011: 28-33 - [c74]Stefan Heinrich, Markus Eberling, Stefan Wermter:
Determining Cooperation in Multiagent Systems with Cultural Traits. ICAART (2) 2011: 173-180 - [c73]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
Hybrid Parallel Classifiers for Semantic Subspace Learning. ICANN (2) 2011: 64-70 - [c72]Junpei Zhong, Cornelius Weber, Stefan Wermter:
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model. ICANN (2) 2011: 333-340 - [c71]Wenjie Yan, Cornelius Weber, Stefan Wermter:
Person Tracking Based on a Hybrid Neural Probabilistic Model. ICANN (2) 2011: 365-372 - [c70]Jens Kleesiek, Andreas K. Engel, Cornelius Weber, Stefan Wermter:
Reward-driven learning of sensorimotor laws and visual features. ICDL-EPIROB 2011: 1-6 - [c69]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) - [c68]Nandita Tripathi, Stefan Wermter, Chihli Hung, Michael P. Oakes:
Semantic Subspace Learning with conditional significance vectors. IJCNN 2010: 1-8 - [c67]Chi-Yung Yau, Kevin Burn, Stefan Wermter:
Configuring the stochastic Helmholtz machine for subcortical emotional learning. IJCNN 2010: 1-8 - [c66]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, John G. 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) - [c65]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 - [c64]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) - [c63]Michael John Knowles, Stefan Wermter:
The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning. HIS 2008: 404-409 - [c62]John C. Murray, Stefan Wermter, Michael Knowles:
MIRA: A Learning Multimodal Interactive Robot Agent. HIS 2008: 947-950 - [c61]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 - [c60]K. K. Kiran Bhagat, Stefan Wermter, Kevin Burn:
Hybrid learning architecture for unobtrusive infrared tracking support. IJCNN 2008: 2703-2709 - [c59]Chi-Yung Yau, Kevin Burn, Stefan Wermter:
A neural wake-sleep learning architecture for associating robotic facial emotions. IJCNN 2008: 2715-2721 - [c58]Abdulrahman Altahhan, Kevin Burn, Stefan Wermter:
Visual robot homing using Sarsa(lambda), whole image measure, and radial basis function. IJCNN 2008: 3861-3868 - [c57]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) - [c56]Kenneth McGarry, Sheila Garfield, Stefan Wermter:
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. CBMS 2007: 612-617 - [c55]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) - [c54]David Muse, Kevin Burn, Stefan Wermter:
Reinforcement Learning for Platform-Independent Visual Robot Control. IJCNN 2006: 2459-2466 - [c53]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) - [c52]Stefan Wermter:
Hybrid Intelligent Systems and Cognitive Robotics. HIS 2005: 4 - [c51]Cornelius Weber, Konstantinos Karantzis, Stefan Wermter:
Grasping with flexible viewing-direction with a learned coordinate transformation network. Humanoids 2005: 253-258 - [c50]Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter:
Reinforcement Learning in MirrorBot. ICANN (1) 2005: 305-310 - [c49]Cornelius Weber, Stefan Wermter:
Image Segmentation by Complex-Valued Units. ICANN (1) 2005: 519-524 - [c48]Kenneth McGarry, Stefan Wermter:
Training without data: Knowledge Insertion into RBF Neural Networks. IJCAI 2005: 792-797 - [c47]John C. Murray, Harry R. Erwin, Stefan Wermter:
A recurrent neural network for sound-source motion tracking and prediction. IJCNN 2005: 2232-2236 - [c46]James Malone, Mark Elshaw, Ken McGarry, Chris Bowerman, Stefan Wermter:
Spatio-temporal neural data mining architecture in learning robots. IJCNN 2005: 2802-2807 - [c45]Chihli Hung, Stefan Wermter:
A constructive and hierarchical self-organizing model in a non-stationary environment. IJCNN 2005: 2948-2953 - [c44]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 - [c43]Stefan Wermter, Günther Palm, Cornelius Weber, Mark Elshaw:
Towards Biomimetic Neural Learning for Intelligent Robots. Biomimetic Neural Learning for Intelligent Robots 2005: 1-18 - [c42]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 - [c41]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 - [c40]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 - [c39]David Muse, Cornelius Weber, Stefan Wermter:
Robot Docking Based on Omnidirectional Vision and Reinforcement Learning. SGAI Conf. 2005: 23-36 - [c38]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) - [c37]Chihli Hung, Stefan Wermter, Peter Smith:
Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering. ECIR 2004: 154-166 - [c36]Kaustubh Chokshi, Christo Panchev, Stefan Wermter, John G. Taylor:
Knowing what and where: a computational model for visual attention. IJCNN 2004 - [c35]Kaustubh Chokshi, Stefan Wermter, Christo Panchev, Kevin Burn:
Self organising neural place codes for vision based robot navigation. IJCNN 2004: 2501-2506 - [c34]Mark Elshaw, Cornelius Weber, Alexandros Zochios, Stefan Wermter:
An associator network approach to robot learning by imitation through vision, motor control and language. IJCNN 2004 - [c33]Chihli Hung, Stefan Wermter:
A time-based self-organising model for document clustering. IJCNN 2004 - [c32]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) - [c31]Kaustubh Chokshi, Stefan Wermter, Cornelius Weber:
Learning Localisation Based on Landmarks Using Self-Organisation. ICANN 2003: 504-514 - [c30]Sheila Garfield, Stefan Wermter:
Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances. ICANN 2003: 646-653 - [c29]Cornelius Weber, Stefan Wermter:
Object Localisation Using Laterally Connected "What" and "Where" Associator Networks. ICANN 2003: 813-820 - [c28]Chihli Hung, Stefan Wermter:
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering. ICDM 2003: 75-82 - [c27]Mark Elshaw, Stefan Wermter, Peter Watt:
Self-organisation of language instruction for robot action control. IJCNN 2003: 22-27 - [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]