Alexander Heimerl

Orcid: 0000-0002-2074-4280

According to our database1, Alexander Heimerl authored at least 17 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario.
CoRR, 2023

MultiMediate '23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions.
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.
IEEE Trans. Affect. Comput., 2022

GANterfactual - Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning.
Frontiers Artif. Intell., 2022

"GAN I hire you?" - A System for Personalized Virtual Job Interview Training.
CoRR, 2022

We've never been eye to eye: A Pupillometry Pipeline for the Detection of Stress and Negative Affect in Remote Working Scenarios.
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.
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.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Teaching Ethics as a Creative Subject: Ideas From an Interdisciplinary Workshop.
IEEE Pervasive Comput., 2021

Towards a Deeper Modeling of Emotions: The Deep Method and its Application on Shame.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020
eXplainable Cooperative Machine Learning with NOVA.
Künstliche Intell., 2020

This is not the Texture you are looking for! Introducing Novel Counterfactual Explanations for Non-Experts using Generative Adversarial Learning.
CoRR, 2020

NOVA: A Tool for Explanatory Multimodal Behavior Analysis and Its Application to Psychotherapy.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

A Transparent Framework towards the Context-Sensitive Recognition of Conversational Engagement.
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.
Proceedings of the Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 2020

2019
NOVA - A tool for eXplainable Cooperative Machine Learning.
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.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019


  Loading...