| Do you trust me?: Increasing User-Trust by Integrating Virtual Agents in Explainable AI Interaction Design K Weitz, D Schiller, R Schlagowski, T Huber, E André Proceedings of the 19th ACM International Conference on Intelligent Virtual …, 2019 | 173 | 2019 |
| “Let me explain!”: exploring the potential of virtual agents in explainable AI interaction design K Weitz, D Schiller, R Schlagowski, T Huber, E André Journal on Multimodal User Interfaces 15 (2), 87-98, 2021 | 124 | 2021 |
| GANterfactual—Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning S Mertes, T Huber, K Weitz, A Heimerl, E André Frontiers in artificial intelligence 5, 2022 | 89 | 2022 |
| Local and global explanations of agent behavior: Integrating strategy summaries with saliency maps T Huber, K Weitz, E André, O Amir Artificial Intelligence 301, 103571, 2021 | 73 | 2021 |
| Enhancing explainability of deep reinforcement learning through selective layer-wise relevance propagation T Huber, D Schiller, E André KI 2019: Advances in Artificial Intelligence: 42nd German Conference on AI …, 2019 | 39 | 2019 |
| Dynamic Difficulty Adjustment in Virtual Reality Exergames through Experience-driven Procedural Content Generation T Huber, S Mertes, S Rangelova, S Flutura, E André 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 37 | 2021 |
| Benchmarking perturbation-based saliency maps for explaining Atari agents T Huber, B Limmer, E André Frontiers in Artificial Intelligence 5, 2022 | 27 | 2022 |
| Relevance-based Data Masking: A Model-Agnostic Transfer Learning Approach for Facial Expression Recognition D Schiller, T Huber, M Dietz, E André Frontiers in Computer Science 2, 6, 2020 | 25 | 2020 |
| Relevance-Based Feature Masking: Improving Neural Network Based Whale Classification Through Explainable Artificial Intelligence. D Schiller, T Huber, F Lingenfelser, M Dietz, A Seiderer, E André INTERSPEECH, 2423-2427, 2019 | 25 | 2019 |
| Integrating policy summaries with reward decomposition for explaining reinforcement learning agents Y Septon, T Huber, E André, O Amir International Conference on Practical Applications of Agents and Multi-Agent …, 2023 | 19 | 2023 |
| GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations T Huber, M Demmler, S Mertes, ML Olson, E André Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 19 | 2023 |
| Using Explainable ai to identify differences between clinical and experimental pain detection models based on facial expressions P Prajod, T Huber, E André International Conference on Multimedia Modeling, 311-322, 2022 | 18 | 2022 |
| Do Deep Neural Networks Forget Facial Action Units?—Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition P Prajod, D Schiller, T Huber, E André International Workshop on Health Intelligence, 217-233, 2021 | 18 | 2021 |
| Alterfactual Explanations--The Relevance of Irrelevance for Explaining AI Systems S Mertes, C Karle, T Huber, K Weitz, R Schlagowski, E André arXiv preprint arXiv:2207.09374, 2022 | 16 | 2022 |
| Exploration of physiological signals using different locomotion techniques in a VR adventure game S Rangelova, S Flutura, T Huber, D Motus, E André Universal Access in Human-Computer Interaction. Theory, Methods and Tools …, 2019 | 8 | 2019 |
| Towards demystifying subliminal persuasiveness: using XAI-techniques to highlight persuasive markers of public speeches K Weber, L Tinnes, T Huber, A Heimerl, ML Reinecker, E Pohlen, E André Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second …, 2020 | 7 | 2020 |
| Interactive Machine Learning and Explainability in Mobile Classification of Forest-Aesthetics S Flutura, A Seiderer, T Huber, K Weitz, I Aslan, R Schlagowski, E André, ... Proceedings of the 6th EAI International Conference on Smart Objects and …, 2020 | 6 | 2020 |
| Fast dynamic difficulty adjustment for intelligent tutoring systems with small datasets A Schütt, T Huber, I Aslan, E André | 4 | 2023 |
| Does Difficulty even Matter? Investigating Difficulty Adjustment and Practice Behavior in an Open-Ended Learning Task A Schütt, T Huber, J Nasir, C Conati, E André Proceedings of the 14th Learning Analytics and Knowledge Conference, 253-262, 2024 | 2 | 2024 |
| Estimating Chess Puzzle Difficulty Without Past Game Records Using a Human Problem-Solving Inspired Neural Network Architecture A Schütt, T Huber, E André 2024 IEEE International Conference on Big Data (BigData), 8396-8402, 2024 | 1 | 2024 |
Elisabeth AndreProfessor of Computer Sciences, Augsburg UniversityVerified email at informatik.uni-augsburg.de
