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Alexander Heimerl

Wissenschaftlicher Mitarbeiter

Name	Alexander Heimerl
Zeit	ca. 20./21. Jh. (Lebensdaten)
Ort	Augsburg (Wirkungsort) Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	M.Sc.
Beruf	Wissenschaftlicher Mitarbeiter (charakteristischer Beruf)
Beziehung	Universität Augsburg. Institut für Informatik
Themengebiet	Personen zu Informatik, Datenverarbeitung
Weitere Angaben	Wissenschaftlicher Mitarbeiter am Lehrstuhl für Menschzentrierte Künstliche Intelligenz an der Universität Augsburg
Quelle	https://www.uni-augsburg.de/de/fakultaet/fai/informatik/prof/hcm/team/alexander-heimerl/ (Stand: 23.01.2023)
Datensatztyp	Person
GND-Nummer	1278895450
Datensatz-ID	1278895450
Beteiligt an alle anzeigen A machine learning-driven interactive training system for extreme vocal techniques ForDigitStress: presentation and evaluation of a new laboratory stressor using a digital job interview-scenario ForDigitStress: presentation and evaluation of a new laboratory stressor using a digital job interview-scenario GANterfactual - counterfactual explanations for medical non-experts using generative adversarial learning Generating personalized behavioral feedback for a virtual job interview training system through adversarial learning Towards automated sign language production: a pipeline for creating inclusive virtual humans Unraveling ML models of emotion with NOVA: multi-level explainable AI for non-experts We've never been eye to eye: a pupillometry pipeline for the detection of stress and negative affect in remote working scenarios Teaching ethics as a creative subject: ideas from an interdisciplinary workshop Towards a deeper modeling of emotions: the deep method and its application on shame eXplainable Cooperative Machine Learning with NOVA A transparent framework towards the context-sensitive recognition of conversational engagement eXplainable cooperative machine learning with NOVA NOVA: a tool for explanatory multimodal behavior analysis and its application to psychotherapy Towards demystifying subliminal persuasiveness: using XAI-techniques to highlight persuasive markers of public speeches I see what you did there: understanding when to trust a ML model with NOVA NOVA - a tool for eXplainable Cooperative Machine Learning

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Katalog der Deutschen Nationalbibliothek

Alexander Heimerl

A machine learning-driven interactive training system for extreme vocal techniques

ForDigitStress: presentation and evaluation of a new laboratory stressor using a digital job interview-scenario

ForDigitStress: presentation and evaluation of a new laboratory stressor using a digital job interview-scenario

GANterfactual - counterfactual explanations for medical non-experts using generative adversarial learning

Generating personalized behavioral feedback for a virtual job interview training system through adversarial learning

Towards automated sign language production: a pipeline for creating inclusive virtual humans

Unraveling ML models of emotion with NOVA: multi-level explainable AI for non-experts

We've never been eye to eye: a pupillometry pipeline for the detection of stress and negative affect in remote working scenarios

Teaching ethics as a creative subject: ideas from an interdisciplinary workshop

Towards a deeper modeling of emotions: the deep method and its application on shame

eXplainable Cooperative Machine Learning with NOVA

A transparent framework towards the context-sensitive recognition of conversational engagement

eXplainable cooperative machine learning with NOVA

NOVA: a tool for explanatory multimodal behavior analysis and its application to psychotherapy

Towards demystifying subliminal persuasiveness: using XAI-techniques to highlight persuasive markers of public speeches

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

NOVA - a tool for eXplainable Cooperative Machine Learning