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Tobias Huber
Tobias Huber
Verified email at informatik.uni-augsburg.de - Homepage
Title
Cited by
Cited by
Year
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
942019
“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
602021
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
402021
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
232019
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
21*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
162020
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
142019
Benchmarking perturbation-based saliency maps for explaining Atari agents
T Huber, B Limmer, E André
Frontiers in Artificial Intelligence 5, 2022
12*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
72022
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
72021
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
62019
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
52020
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
32022
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
32020
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
22022
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
12022
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
2023
Tiefes bestärkendes Lernen: Grundlagen, Approximationseigenschaft und Implementierung multimodaler Erklärungen
T Huber
2018
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Articles 1–18