Follow
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
1292019
“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
872021
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
572021
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
522022
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
332019
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
212021
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
212020
Benchmarking perturbation-based saliency maps for explaining Atari agents
T Huber, B Limmer, E André
Frontiers in Artificial Intelligence 5, 2022
19*2022
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
192019
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
102023
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
102023
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
102021
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
82022
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
72022
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
72019
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
62020
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
Fast dynamic difficulty adjustment for intelligent tutoring systems with small datasets
A Schütt, T Huber, I Aslan, E André
12023
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
S Mertes, T Huber, C Karle, K Weitz, R Schlagowski, C Conati, E André
arXiv preprint arXiv:2405.05295, 2024
2024
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
2024
The system can't perform the operation now. Try again later.
Articles 1–20