Dr.-Ing. Jan Alexandersson

Contact +49 681 85775 5347 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 366123 Saarbrücken

Publications

M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews
Sayed Muddashir Hossain; Jan Alexandersson; Philipp Müller
In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation. Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING-2024), ACL, 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
In: Proceedings of the 32nd ACM International Conference on Multimedia. ACM International Conference on Multimedia (ACM MM-2024), New York, NY, USA, MM '24, ISBN 9798400706868, Association for Computing Machinery, 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
In: 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). International Conference on Affective Computation and Intelligent Interaction (ACII-2024), September 15-18, Glasgow, United Kingdom, IEEE, 2024.

MULTI-IMMERSE
MULTI-IMMERSE
Severely ill children, who are prohibited from having direct contact with relatives, should be enabled to meet their parents or close caregivers in virtual, lifelike worlds. While healthy children and…
GAIN
Georgian Artificial Intelligence Networking and Twinning Initiative
KI@Home
Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen
The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the volunteers' flats and their base health status…
KItatta
KI-Verfahren erkennen Qualität von Spenderhornhäuten
In Deutschland werden jährlich mehr als 9.000 Hornhauttransplantationen durchgeführt. Trotz strenger Qualitätskriterien sind bei etwa 4-5 % der Transplantate postoperativ warzenförmige Veränderungen…
MePheSTO
Digital Phenotyping 4 Psychiatric Disorders from Social Interaction
MePheSTO is an interdisciplinary research project that aims to develop a scientifically grounded, artificial intelligence based methodology for identifying and classifying measurable, and thus…