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Alexander Heimerl
Alexander Heimerl
Verified email at informatik.uni-augsburg.de
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eXplainable cooperative machine learning with NOVA
T Baur, A Heimerl, F Lingenfelser, J Wagner, MF Valstar, B Schuller, ...
KI-Künstliche Intelligenz 34, 143-164, 2020
222020
NOVA-A tool for eXplainable Cooperative Machine Learning
A Heimerl, T Baur, F Lingenfelser, J Wagner, E André
2019 8th International Conference on Affective Computing and Intelligent …, 2019
192019
Unraveling ML models of emotion with NOVA: multi-level explainable AI for non-experts
A Heimerl, K Weitz, T Baur, E André
IEEE Transactions on Affective Computing, 2020
162020
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
92022
NOVA: A tool for explanatory multimodal behavior analysis and its application to psychotherapy
T Baur, S Clausen, A Heimerl, F Lingenfelser, W Lutz, E André
MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South …, 2020
62020
eXplainable Cooperative Machine Learning with NOVA. KI-Künstliche Intelligenz (Jan. 2020)
T Baur, A Heimerl, F Lingenfelser, J Wagner, MF Valstar, B Schuller, ...
52020
This is not the texture you are looking for! Introducing novel counterfactual explanations for non-experts using generative adversarial learning
S Mertes, T Huber, K Weitz, A Heimerl, E André
arXiv preprint arxiv:2012.11905, 2020
32020
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
Towards a Deeper Modeling of Emotions: The Deep Method and its Application on Shame
T Schneeberger, M Hladký, AK Thurner, J Volkert, A Heimerl, T Baur, ...
2021 9th International Conference on Affective Computing and Intelligent …, 2021
22021
A Transparent Framework towards the Context-Sensitive Recognition of Conversational Engagement
A Heimerl, T Baur, E André
Eleventh International Workshop Modelling and Reasoning in Context (MRC …, 2020
22020
We’ve never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios
A Heimerl, L Becker, D Schiller, T Baur, F Wildgrube, N Rohleder, E Andre
Proceedings of the 15th International Conference on PErvasive Technologies …, 2022
12022
Towards Automated Sign Language Production: A Pipeline for Creating Inclusive Virtual Humans
L Bernhard, F Nunnari, A Unger, J Bauerdiek, C Dold, M Hauck, A Stricker, ...
Proceedings of the 15th International Conference on PErvasive Technologies …, 2022
12022
Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial Learning
A Heimerl, S Mertes, T Schneeberger, T Baur, A Liu, L Becker, ...
Artificial Intelligence in Education: 23rd International Conference, AIED …, 2022
2022
" GAN I hire you?"--A System for Personalized Virtual Job Interview Training
A Heimerl, S Mertes, T Schneeberger, T Baur, A Liu, L Becker, ...
arXiv preprint arXiv:2206.03869, 2022
2022
Teaching Ethics as a Creative Subject: Ideas From an Interdisciplinary Workshop
L Haliburton, A Heimerl, S Böhme, E André, A Schmidt
IEEE Pervasive Computing 20 (3), 68-71, 2021
2021
I see what you did there: Understanding when to trust a ML model with NOVA
T Baur, A Heimerl, F Lingenfelser, E André
2019 8th International Conference on Affective Computing and Intelligent …, 2019
2019
Department: Education & Training
L Haliburton, A Heimerl, S Böhme, E André, A Schmidt, AL Kun
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Articles 1–17