| 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 | 22 | 2020 |
| 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 | 19 | 2019 |
| 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 | 16 | 2020 |
| 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 | 9 | 2022 |
| 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 | 6 | 2020 |
| eXplainable Cooperative Machine Learning with NOVA. KI-Künstliche Intelligenz (Jan. 2020) T Baur, A Heimerl, F Lingenfelser, J Wagner, MF Valstar, B Schuller, ... | 5 | 2020 |
| 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 | 3 | 2020 |
| 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 | 3 | 2020 |
| 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 | 2 | 2021 |
| 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 | 2 | 2020 |
| 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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 | | |
Elisabeth AndreProfessor of Computer Sciences, Augsburg UniversityVerified email at informatik.uni-augsburg.de
