Teena Hassan

Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals

Martin Gjoreski, Mitja Luštrek, Matja Ž Gams, 2020, IEEE Access.

Requirements for a Reference Dataset for Multimodal Human Stress Detection

Erwin Prassler, Jens-Uwe Garbas, Teena Hassan, 2019, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

A Practical Approach to Fuse Shape and Appearance Information in a Gaussian Facial Action Estimation Framework

Ute Schmid, Johannes Wollenberg, Dominik Seuss, 2016, ECAI.

Analysis of Personality Dependent Differences in Pupillary Response and its Relation to Stress Recovery Ability

Pelin Genc, Teena Hassan, 2019, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

Automatic Detection of Pain from Facial Expressions: A Survey

Ute Schmid, Johannes Wollenberg, Katharina Weitz, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals

Klaus R. Scherer, Marcello Mortillaro, Anja Dieckmann, 2023, IEEE Transactions on Affective Computing.

Deep-learned faces of pain and emotions: Elucidating the differences of facial expressions with the help of explainable AI methods

Ute Schmid, Katharina Weitz, Jens-Uwe Garbas, 2019, tm - Technisches Messen.

Towards Explaining Deep Learning Networks to Distinguish Facial Expressions of Pain and Emotions

Ute Schmid, Katharina Weitz, Teena Hassan, 2018 .