Alexander Heimerl

25 papers A* 2B 3Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
The ForDigitStress Dataset: A Multi-Modal Dataset for Automatic Stress Recognition.
IEEE Trans. Affect. Comput.
Alexander Heimerl, Pooja Prajod, Silvan Mertes, Tobias Baur, Matthias Kraus, Ailin Liu, Helen Risack, Nicolas Rohleder, Elisabeth André, Linda Becker
2024 — conf
A Machine Learning-Driven Interactive Training System for Extreme Vocal Techniques.
Audio Mostly Conference
Johanna Holzinger, Alexander Heimerl, Ruben Schlagowski, Elisabeth André, Silvan Mertes
2024 A* conf
MultiMediate'24: Multi-Domain Engagement Estimation.
ACM Multimedia
Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Anna Penzkofer, Dominik Schiller, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling
2024 J jnl
MultiMediate'24: Multi-Domain Engagement Estimation.
CoRR
Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Anna Penzkofer, Dominik Schiller, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling
2024 B conf
Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models.
ACII
Philipp Müller, Alexander Heimerl, Sayed Muddashir Hossain, Lea Siegel, Jan Alexandersson, Patrick Gebhard, Elisabeth André, Tanja Schneeberger
2024 J jnl
Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models.
CoRR
Philipp Müller, Alexander Heimerl, Sayed Muddashir Hossain, Lea Siegel, Jan Alexandersson, Patrick Gebhard, Elisabeth André, Tanja Schneeberger
2024 J jnl
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals.
IEEE Trans. Affect. Comput.
Tanja Schneeberger, Mirella Hladký, Ann-Kristin Thurner, Jana Volkert, Alexander Heimerl, Tobias Baur, Elisabeth André, Patrick Gebhard
2023 J jnl
ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario.
CoRR
Alexander Heimerl, Pooja Prajod, Silvan Mertes, Tobias Baur, Matthias Kraus, Ailin Liu, Helen Risack, Nicolas Rohleder, Elisabeth André, Linda Becker
2023 A* conf
MultiMediate '23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions.
ACM Multimedia
Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Dominik Schiller, Mohammed Guermal, Dominike Thomas, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling
2023 J jnl
MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions.
CoRR
Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Dominik Schiller, Mohammed Guermal, Dominike Thomas, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling
2022 J jnl
"GAN I hire you?" - A System for Personalized Virtual Job Interview Training.
CoRR
Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André
2022 J jnl
GANterfactual - Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning.
Frontiers Artif. Intell.
Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André
2022 — conf
Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial Learning.
AIED (1)
Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André
2022 — conf
Towards Automated Sign Language Production: A Pipeline for Creating Inclusive Virtual Humans.
PETRA
Lucas Bernhard, Fabrizio Nunnari, Amelie Unger, Judith Bauerdiek, Christian Dold, Marcel Hauck, Alexander Stricker, Tobias Baur, Alexander Heimerl, Elisabeth André, Melissa Reinecker, Cristina España-Bonet, Yasser Hamidullah, Stephan Busemann, Patrick Gebhard, Corinna Jäger, Sonja Wecker, Yvonne Kossel, Henrik Müller, Kristoffer Waldow, Arnulph Fuhrmann, Martin Misiak, Dieter Wallach
2022 J jnl
Unraveling ML Models of Emotion With NOVA: Multi-Level Explainable AI for Non-Experts.
IEEE Trans. Affect. Comput.
Alexander Heimerl, Katharina Weitz, Tobias Baur, Elisabeth André
2022 — conf
We've never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios.
PETRA
Alexander Heimerl, Linda Becker, Dominik Schiller, Tobias Baur, Fabian Wildgrube, Nicolas Rohleder, Elisabeth André
2021 J jnl
Teaching Ethics as a Creative Subject: Ideas From an Interdisciplinary Workshop.
IEEE Pervasive Comput.
Luke Haliburton, Alexander Heimerl, Stephanie Böhme, Elisabeth André, Albrecht Schmidt, Andrew L. Kun
2021 B conf
Towards a Deeper Modeling of Emotions: The Deep Method and its Application on Shame.
ACII
Tanja Schneeberger, Mirella Hladký, Ann-Kristin Thurner, Jana Volkert, Alexander Heimerl, Tobias Baur, Elisabeth André, Patrick Gebhard
2020 — conf
A Transparent Framework towards the Context-Sensitive Recognition of Conversational Engagement.
MRC@ECAI
Alexander Heimerl, Tobias Baur, Elisabeth André
2020 — conf
NOVA: A Tool for Explanatory Multimodal Behavior Analysis and Its Application to Psychotherapy.
MMM (2)
Tobias Baur, Sina Clausen, Alexander Heimerl, Florian Lingenfelser, Wolfgang Lutz, Elisabeth André
2020 J jnl
This is not the Texture you are looking for! Introducing Novel Counterfactual Explanations for Non-Experts using Generative Adversarial Learning.
CoRR
Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André
2020 — conf
Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches.
EXTRAAMAS@AAMAS
Klaus Weber, Lukas Tinnes, Tobias Huber, Alexander Heimerl, Marc-Leon Reinecker, Eva Pohlen, Elisabeth André
2020 J jnl
eXplainable Cooperative Machine Learning with NOVA.
Künstliche Intell.
Tobias Baur, Alexander Heimerl, Florian Lingenfelser, Johannes Wagner, Michel F. Valstar, Björn W. Schuller, Elisabeth André
2019 — conf
I see what you did there: Understanding when to trust a ML model with NOVA.
ACII Workshops
Tobias Baur, Alexander Heimerl, Florian Lingenfelser, Elisabeth André
2019 B conf
NOVA - A tool for eXplainable Cooperative Machine Learning.
ACII
Alexander Heimerl, Tobias Baur, Florian Lingenfelser, Johannes Wagner, Elisabeth André