Alexander Heimerl

According to our database, Alexander Heimerl authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals.

Tanja Schneeberger, Mirella Hladký, Ann-Kristin Thurner, Jana Volkert, Alexander Heimerl, Tobias Baur, Elisabeth André, Patrick Gebhard

IEEE Trans. Affect. Comput., 2024

Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models.

Philipp Müller, Alexander Heimerl, Sayed Muddashir Hossain, Lea Siegel, Jan Alexandersson, Patrick Gebhard, Elisabeth André, Tanja Schneeberger

CoRR, 2024

MultiMediate'24: Multi-Domain Engagement Estimation.

Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Anna Penzkofer, Dominik Schiller, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Machine Learning-Driven Interactive Training System for Extreme Vocal Techniques.

Johanna Holzinger, Alexander Heimerl, Ruben Schlagowski, Elisabeth André, Silvan Mertes

Proceedings of the 19th International Audio Mostly Conference: Explorations in Sonic Cultures, 2024

2023

ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario.

Alexander Heimerl, Pooja Prajod, Silvan Mertes, Tobias Baur, Matthias Kraus, Ailin Liu, Helen Risack, Nicolas Rohleder, Elisabeth André, Linda Becker

CoRR, 2023

MultiMediate '23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions.

Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Dominik Schiller, Mohammed Guermal, Dominike Thomas, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Unraveling ML Models of Emotion With NOVA: Multi-Level Explainable AI for Non-Experts.

Alexander Heimerl, Katharina Weitz, Tobias Baur, Elisabeth André

IEEE Trans. Affect. Comput., 2022

GANterfactual - Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning.

Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André

Frontiers Artif. Intell., 2022

"GAN I hire you?" - A System for Personalized Virtual Job Interview Training.

Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André

CoRR, 2022

We've never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios.

Alexander Heimerl, Linda Becker, Dominik Schiller, Tobias Baur, Fabian Wildgrube, Nicolas Rohleder, Elisabeth André

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Towards Automated Sign Language Production: A Pipeline for Creating Inclusive Virtual Humans.

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

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial Learning.

Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Teaching Ethics as a Creative Subject: Ideas From an Interdisciplinary Workshop.

Luke Haliburton, Alexander Heimerl, Stephanie Böhme, Elisabeth André, Albrecht Schmidt, Andrew L. Kun

IEEE Pervasive Comput., 2021

Towards a Deeper Modeling of Emotions: The Deep Method and its Application on Shame.

Tanja Schneeberger, Mirella Hladký, Ann-Kristin Thurner, Jana Volkert, Alexander Heimerl, Tobias Baur, Elisabeth André, Patrick Gebhard

Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020

eXplainable Cooperative Machine Learning with NOVA.

Tobias Baur, Alexander Heimerl, Florian Lingenfelser, Johannes Wagner, Michel F. Valstar, Björn W. Schuller, Elisabeth André

Künstliche Intell., 2020

This is not the Texture you are looking for! Introducing Novel Counterfactual Explanations for Non-Experts using Generative Adversarial Learning.

Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André

CoRR, 2020

NOVA: A Tool for Explanatory Multimodal Behavior Analysis and Its Application to Psychotherapy.

Tobias Baur, Sina Clausen, Alexander Heimerl, Florian Lingenfelser, Wolfgang Lutz, Elisabeth André

Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

A Transparent Framework towards the Context-Sensitive Recognition of Conversational Engagement.

Alexander Heimerl, Tobias Baur, Elisabeth André

Proceedings of the Eleventh International Workshop Modelling and Reasoning in Context co-located with the 24th European Conference on Artificial Intelligence, 2020

Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches.

Klaus Weber, Lukas Tinnes, Tobias Huber, Alexander Heimerl, Marc-Leon Reinecker, Eva Pohlen, Elisabeth André

Proceedings of the Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 2020

2019

NOVA - A tool for eXplainable Cooperative Machine Learning.

Alexander Heimerl, Tobias Baur, Florian Lingenfelser, Johannes Wagner, Elisabeth André

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

I see what you did there: Understanding when to trust a ML model with NOVA.

Tobias Baur, Alexander Heimerl, Florian Lingenfelser, Elisabeth André

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019