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Alexander Heimerl
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2020 – today
- 2024
- [j5]Tanja Schneeberger
, Mirella Hladký
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals. IEEE Trans. Affect. Comput. 15(2): 417-432 (2024) - [c12]Johanna Holzinger
A Machine Learning-Driven Interactive Training System for Extreme Vocal Techniques. Audio Mostly Conference 2024: 348-354 - [c11]Philipp Müller
MultiMediate'24: Multi-Domain Engagement Estimation. ACM Multimedia 2024: 11377-11382 - [i6]Philipp Müller, Alexander Heimerl, Sayed Muddashir Hossain, Lea Siegel, Jan Alexandersson, Patrick Gebhard, Elisabeth André, Tanja Schneeberger:
Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models. CoRR abs/2408.04420 (2024) - [i5]Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Anna Penzkofer, Dominik Schiller, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling:
MultiMediate'24: Multi-Domain Engagement Estimation. CoRR abs/2408.16625 (2024) - 2023
- [c10]Philipp Müller
MultiMediate '23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions. ACM Multimedia 2023: 9640-9645 - [i4]Alexander Heimerl, Pooja Prajod, Silvan Mertes, Tobias Baur, Matthias Kraus
ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario. CoRR abs/2303.07742 (2023) - [i3]Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Dominik Schiller, Mohammed Guermal, Dominike Thomas, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling:
MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions. CoRR abs/2308.08256 (2023) - 2022
- [j4]Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André
GANterfactual - Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning. Frontiers Artif. Intell. 5: 825565 (2022) - [j3]Alexander Heimerl
Unraveling ML Models of Emotion With NOVA: Multi-Level Explainable AI for Non-Experts. IEEE Trans. Affect. Comput. 13(3): 1155-1167 (2022) - [c9]Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker
Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial Learning. AIED (1) 2022: 679-684 - [c8]Lucas Bernhard, Fabrizio Nunnari, Amelie Unger
Towards Automated Sign Language Production: A Pipeline for Creating Inclusive Virtual Humans. PETRA 2022: 260-268 - [c7]Alexander Heimerl, Linda Becker
We've never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios. PETRA 2022: 486-493 - [i2]Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André
"GAN I hire you?" - A System for Personalized Virtual Job Interview Training. CoRR abs/2206.03869 (2022) - 2021
- [j2]Luke Haliburton
Teaching Ethics as a Creative Subject: Ideas From an Interdisciplinary Workshop. IEEE Pervasive Comput. 20(3): 68-71 (2021) - [c6]Tanja Schneeberger, Mirella Hladký, Ann-Kristin Thurner, Jana Volkert, Alexander Heimerl, Tobias Baur, Elisabeth André
Towards a Deeper Modeling of Emotions: The Deep Method and its Application on Shame. ACII 2021: 1-8 - 2020
- [j1]Tobias Baur
eXplainable Cooperative Machine Learning with NOVA. Künstliche Intell. 34(2): 143-164 (2020) - [c5]Klaus Weber
Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches. EXTRAAMAS@AAMAS 2020: 113-128 - [c4]Alexander Heimerl, Tobias Baur, Elisabeth André
A Transparent Framework towards the Context-Sensitive Recognition of Conversational Engagement. MRC@ECAI 2020: 7-16 - [c3]Tobias Baur, Sina Clausen, Alexander Heimerl, Florian Lingenfelser, Wolfgang Lutz
NOVA: A Tool for Explanatory Multimodal Behavior Analysis and Its Application to Psychotherapy. MMM (2) 2020: 577-588 - [i1]Silvan Mertes, Tobias Huber
This is not the Texture you are looking for! Introducing Novel Counterfactual Explanations for Non-Experts using Generative Adversarial Learning. CoRR abs/2012.11905 (2020)
2010 – 2019
- 2019
- [c2]Tobias Baur, Alexander Heimerl, Florian Lingenfelser, Elisabeth André
I see what you did there: Understanding when to trust a ML model with NOVA. ACII Workshops 2019: 77-78 - [c1]Alexander Heimerl, Tobias Baur, Florian Lingenfelser, Johannes Wagner, Elisabeth André
NOVA - A tool for eXplainable Cooperative Machine Learning. ACII 2019: 109-115
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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