Alice Othmani
Orcid: 0000-0002-3442-0578
According to our database1,
Alice Othmani
authored at least 39 papers
between 2018 and 2024.
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Bibliography
2024
PTSD in the wild: a video database for studying post-traumatic stress disorder recognition in unconstrained environments.
Multim. Tools Appl., April, 2024
Autism classification and monitoring from predicted categorical and dimensional emotions of video features.
Signal Image Video Process., February, 2024
Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches.
CoRR, 2024
A Systematic Review of Rare Events Detection Across Modalities Using Machine Learning and Deep Learning.
IEEE Access, 2024
2023
Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative.
Comput. Methods Programs Biomed., December, 2023
Neurocomputing, November, 2023
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review.
Comput. Biol. Medicine, June, 2023
Multim. Tools Appl., April, 2023
Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review.
CoRR, 2023
An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
PD-Net: Multi-Stream Hybrid Healthcare System for Parkinson's Disease Detection using Multi Learning Trick Approach.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.
Comput. Methods Programs Biomed., 2022
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech.
Biomed. Signal Process. Control., 2022
Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning.
IEEE Access, 2022
Deep Learning-Based Approach for Continuous Affect Prediction From Facial Expression Images in Valence-Arousal Space.
IEEE Access, 2022
Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022
Alzheimer's Disease Detection Using Ensemble Learning and Artificial Neural Networks.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022
2021
Pattern Recognit. Lett., 2021
Multi-facial patches aggregation network for facial expression recognition and facial regions contributions to emotion display.
Multim. Tools Appl., 2021
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review.
Comput. Methods Programs Biomed., 2021
End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis.
Comput. Methods Programs Biomed., 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 21st International Conference on Communication Technology, 2021
Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary Study.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Auditory perception based system for age classification and estimation using dynamic frequency sound.
Multim. Tools Appl., 2020
Multim. Tools Appl., 2020
Frontiers Big Data, 2020
Comput. Vis. Image Underst., 2020
AudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis.
CoRR, 2020
Neural Networks based approaches for Major Depressive Disorder and Bipolar Disorder Diagnosis using EEG signals: A review.
CoRR, 2020
CoRR, 2020
Towards Robust Deep Neural Networks for Affect and Depression Recognition from Speech.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
2018
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018