Articles with public access mandates - Teena HassanLearn more
Available somewhere: 10
Automatic detection of pain from facial expressions: a survey
T Hassan, D Seuß, J Wollenberg, K Weitz, M Kunz, S Lautenbacher, ...
IEEE transactions on pattern analysis and machine intelligence 43 (6), 1815-1831, 2019
Mandates: German Research Foundation, Fraunhofer-Gesellschaft
Machine learning and end-to-end deep learning for monitoring driver distractions from physiological and visual signals
M Gjoreski, MŽ Gams, M Luštrek, P Genc, JU Garbas, T Hassan
IEEE access 8, 70590-70603, 2020
Mandates: Fraunhofer-Gesellschaft, Slovenian Research Agency
Problems of video-based pain detection in patients with dementia: a road map to an interdisciplinary solution
M Kunz, D Seuss, T Hassan, JU Garbas, M Siebers, U Schmid, ...
BMC geriatrics 17, 1-8, 2017
Mandates: Fraunhofer-Gesellschaft
Self-explaining social robots: An explainable behavior generation architecture for human-robot interaction
S Stange, T Hassan, F Schröder, J Konkol, S Kopp
Frontiers in Artificial Intelligence 5, 866920, 2022
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Automatic coding of facial expressions of pain: Are we there yet?
S Lautenbacher, T Hassan, D Seuss, FW Loy, JU Garbas, U Schmid, ...
Pain Research and Management 2022 (1), 6635496, 2022
Mandates: German Research Foundation
Towards self-explaining social robots. Verbal explanation strategies for a needs-based architecture
S Stange, H Buschmeier, T Hassan, C Ritter, S Kopp
Mandates: Federal Ministry of Education and Research, Germany
Towards an interaction-centered and dynamically constructed episodic memory for social robots
T Hassan, S Kopp
Companion of the 2020 ACM/IEEE international conference on human-robot …, 2020
Mandates: Federal Ministry of Education and Research, Germany
Towards designing privacy-compliant social robots for use in private households: A use case based identification of privacy implications
B Horstmann, N Diekmann, H Buschmeier, T Hassan
Proceedings of the 29th IEEE International Conference on Robot and Human …, 2020
Mandates: Federal Ministry of Education and Research, Germany
Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals
JU GARBAS, T HASSAN
Mandates: Fraunhofer-Gesellschaft, Slovenian Research Agency
Supplementary material for the publication “Towards Designing Privacy-Compliant Social Robots for Use in Private Households: A Use Case Based Identification of Privacy …
B Horstmann, N Diekmann, H Buschmeier, T Hassan
Mandates: Federal Ministry of Education and Research, Germany
Publication and funding information is determined automatically by a computer program