5 papers
3D Weighted Geometric Graph Neural Networks for Sheep Facial Pain Assessment
Alam Noor, Luis Almeida, Mohamed Daoudi
Deep learning systems perform mainly within the 2D for a single image domain and take the face as a single-dimension representation, losing sight of the 3D anatomy of sheep and cro…
A Non-Invasive 3D Gait Analysis Framework for Quantifying Psychomotor Retardation in Major Depressive Disorder
Fouad Boutaleb, Emery Pierson, Mohamed Daoudi +3
Predicting the status of Major Depressive Disorder (MDD) from objective, non-invasive methods is an active research field. Yet, extracting automatically objective, interpretable fe…
Sheep Facial Pain Assessment Under Weighted Graph Neural Networks
Alam Noor, Luis Almeida, Mohamed Daoudi +2
Accurately recognizing and assessing pain in sheep is key to discern animal health and mitigating harmful situations. However, such accuracy is limited by the ability to manage aut…
Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity
Yassine Ouzar, Clémence Nineuil, Fouad Boutaleb +3
Depression is a complex mental disorder characterized by a diverse range of observable and measurable indicators that go beyond traditional subjective assessments. Recent research…
Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population
Fouad Boutaleb, Emery Pierson, Nicolas Doudeau +3
Depression and anxiety are prevalent mental health disorders that frequently cooccur, with anxiety significantly influencing both the manifestation and treatment of depression. An…