Yassine Ouzar
Currently, I am a Postdoctoral Researcher at CRIStAL Lab , Lille Neurosciences & Cognition / Inserm , focusing on the identification of objective biomarkers for psychiatric disorders through multimodal analysis of physiological and behavioral data.
Before joining CRIStAL Lab , i successfully completed my academic journey with a PhD in Computer Engineering, Automatic Control, and Signal/Image Processing at LCOMS Lab , University of Lorraine (UL) . During this enriching experience, I had the privilege of being mentored by Professor Choubeila Maaoui and working collaboratively with Dr. Frédéric Bousefsaf .
My research interests include image/signal processing, machine learning, and multimodal data fusion..
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Interpretable One-Class Classification Framework for Prescription Error Detection Using BERT Embeddings and Dimensionality Reduction
Yassine Ouzar,
Faiza Ajmi,
Sarah Ben Othman,
Chloé Rousselière,
Bertrand Decaudin,
Pascal Odou,
and Slim Hammadi
Computer in Biology and Medecine
Under review (minor revision)
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Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity
Yassine Ouzar,
Clémence Nineuil,
Fouad Boutaleb,
Emery Pierson,
Ali Amad,
and Mohamed Daoudi
IEEE International Conference on Automatic Face and Gesture Recognition
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X-iPPGNet: A novel one stage deep learning architecture based on depthwise separable convolutions for video-based pulse rate estimation
Yassine Ouzar,
Djameleddine Djeldjli,
Frédéric Bousefsaf,
Choubeila Maaoui
Computer in Biology and Medecine
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Multimodal stress state detection from facial videos using physiological signals and facial features
Yassine Ouzar,
Lynda Lagha,
Frédéric Bousefsaf,
Choubeila Maaoui
Proceedings of the IEEE/CVF International Conference on Pattern Recognition Workshop, 2022
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Video-based multimodal spontaneous emotion recognition using facial expressions and physiological signals
Yassine Ouzar,
Frédéric Bousefsaf,
Djameleddine Djeldjli,
Choubeila Maaoui
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2022
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LCOMS Lab's Approach to the Vision for Vitals (V4V) Challenge
Yassine Ouzar,
Frédéric Bousefsaf,
Djameleddine Djeldjli,
Choubeila Maaoui
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop, 2021
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Estimation of blood pressure waveform from facial video using a deep U-shaped network and the wavelet representation of imaging photoplethysmographic signals
Frédéric Bousefsaf,
Théo Desquins,
Djameleddine Djeldjli,
Yassine Ouzar,
Choubeila Maaoui,
Alain Pruski
Biomedical Signal Processing and Control (BSPC 2021)
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iPPG 2 cPPG: reconstructing contact from imaging photoplethysmographic signals using U-Net architectures
Frédéric Bousefsaf,
Djameleddine Djeldjli,
Yassine Ouzar,
Choubeila Maaoui,
Alain Pruski
Computers in Biology and Medicine (CBM 2022)
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M2 MIAS Centrale Lille : Explainable AI
M2 MIAS Centrale Lille : Uncertainty Management
M2 E3A UFR SciFA - Metz : Internet of Things
M1 E3A UFR SciFA - Metz : Machine Learning
M1 E3A UFR SciFA - Metz : Oriented Object Programming
M1 E3A UFR SciFA - Metz : Web Developement
M1 E3A UFR SciFA - Metz : Computer Network
M1 E3A UFR SciFA - Metz : UNIX
L3 E3A UFR SciFA - Metz : Graphical User Interface
L1 SPI UFR SciFA - Metz : Digital Electronics
L1 SPI UFR SciFA - Metz : Algorithms and Programming
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