Tobias Huber
Tobias Huber
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Cited by
Cited by
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
“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
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
Enhancing Explainability of Deep Reinforcement Learning Through Selective Layer-Wise Relevance Propagation
T Huber, D Schiller, E André
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2019
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
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
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
Benchmarking perturbation-based saliency maps for explaining Atari agents
T Huber, B Limmer, E André
Frontiers in Artificial Intelligence 5, 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
AI for Disease Surveillance and Pandemic Intelligence: Intelligent Disease …, 2022
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
Exploration of Physiological Signals Using Different Locomotion Techniques in a VR Adventure Game
S Rangelova, S Flutura, T Huber, D Motus, E André
International Conference on Human-Computer Interaction, 601-616, 2019
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
Using Explainable AI to Identify Differences Between Clinical and Experimental Pain Detection Models Based on Facial Expressions
P Prajod, T Huber, E André
MultiMedia Modeling: 28th International Conference, MMM 2022, Phu Quoc …, 2022
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
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents
Y Septon, T Huber, E André, O Amir
arXiv preprint arXiv:2210.11825, 2022
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
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations
T Huber, M Demmler, S Mertes, ML Olson, E André
arXiv preprint arXiv:2302.12689, 2023
Tiefes bestärkendes Lernen: Grundlagen, Approximationseigenschaft und Implementierung multimodaler Erklärungen
T Huber
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