Alice Othmani - RankMe

68 papers B 4Journal 43Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing multimodal emotion recognition with dynamic fuzzy membership and attention fusion. Eng. Appl. Artif. Intell. Nhut Minh Nguyen, Trung Minh Nguyen, Thanh Trung Nguyen, Phuong-Nam Tran, Nhat Truong Pham, Linh Le, Alice Othmani, Abdulmotaleb El Saddik, Duc Ngoc Minh Dang
2026	J	`jnl`	Hybrid TokenShift-stochastic transformer for rare event detection in video surveillance. Mach. Vis. Appl. Yahaya Idris Abubakar, Mamadou Dia, Patrick Siarry, Alice Othmani
2025	—	`conf`	ARNet: Enhanced Tracking and Optimization for Video-Based Affect Recognition. IVSP Alice Othmani, Mustaqeem Khan, Abdulmotaleb El Saddik, Hugo Cogo-Moreira
2025	J	`jnl`	Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review. Artif. Intell. Medicine Fati Oiza Salami, Muhammad Muzammel, Youssef Mourchid, Alice Othmani
2025	J	`jnl`	Depression detection and subgrouping by using the active and passive EEG paradigms. Multim. Tools Appl. Sana Yasin, Alice Othmani, Bouibauan Mohamed, Imran Raza, Syed Asad Hussain
2025	—	`conf`	Enhanced Alzheimer's Diagnosis with a Lightweight Transformer: A Multimodal Fusion of Sagittal MRI and Clinical Data. IWSSIP Akeem Temitope Otapo, Ghazaleh Khodabandelou, Zuheng Ming, Alice Othmani
2025	—	`conf`	Improving Video Surveillance through ViViTRED: A Transformer-Based Detection Model for Rare and Abnormal Events. IVSP Yahaya Idris Abubakar, Mamadou Dia, Patrick Siarry, Alice Othmani
2025	J	`jnl`	Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems. CoRR Eya Mhedhbi, Youssef Mourchid, Alice Othmani
2025	—	`conf`	Non-Invasive Neonatal Jaundice Detection via Two-Phase Self-Supervised Learning and Vision Transformer. IPTA Fati Oiza Salami, Youssef Mourchid, Muhammad Muzammel, Alice Othmani
2025	J	`jnl`	Prediction and detection of terminal diseases using Internet of Medical Things: A review. Comput. Biol. Medicine Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, Zuheng Ming
2025	—	`conf`	TRUSS-Med: Medical Question Answering via Transformers, Retrieval, and Unified State Space Models. BIBM Xiang Zhu, Mustaqeem Khan, Eya Mhedhbi, Yujian Liang, Alice Othmani
2024	J	`jnl`	A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews. CoRR Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani
2024	J	`jnl`	A Systematic Review of Rare Events Detection Across Modalities Using Machine Learning and Deep Learning. IEEE Access Yahaya Idris Abubakar, Alice Othmani, Patrick Siarry, Aznul Qalid Md Sabri
2024	J	`jnl`	Autism classification and monitoring from predicted categorical and dimensional emotions of video features. Signal Image Video Process. Stephen Khor Wen Hwooi, Aznul Qalid Md Sabri, Alice Othmani
2024	—	`conf`	DWTSRNet: Discrete Wavelet Transform Super Resolution Network for medical single image super-resolution. BIBM Pietro Cestola, Alice Othmani, Amine Lagzouli, Vittorio Sansalone, Luciano Teresi
2024	—	`conf`	Dbahnet: Dual-Branch Attention-Based Hybrid Network for High-Resolution 3d Micro-Ct Bone Scan Segmentation. ISBI Amine Lagzouli, Peter Pivonka, David Cooper, Vittorio Sansalone, Alice Othmani
2024	J	`jnl`	Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review. IEEE Access Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai
2024	—	`conf`	Harnessing Knowledge Distillation for Enhanced Text-to-Text Translation in Low-Resource Languages. SPECOM (2) Manar Ouled Ahmed, Zuheng Ming, Alice Othmani
2024	—	`conf`	HuBERT-CLAP: Contrastive Learning-Based Multimodal Emotion Recognition using Self-Alignment Approach. MMAsia Long H. Nguyen, Nhat Truong Pham, Mustaqeem Khan, Alice Othmani, Abdulmotaleb El Saddik
2024	—	`conf`	Leveraging Auto-distillation and Generative Self-supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems. CSoNet Eya Mhedhbi, Youssef Mourchid, Alice Othmani
2024	J	`jnl`	PTSD in the wild: a video database for studying post-traumatic stress disorder recognition in unconstrained environments. Multim. Tools Appl. Moctar Abdoul Latif Sawadogo, Furkan Pala, Gurkirat Singh, Imen Selmi, Pauline Puteaux, Alice Othmani
2024	J	`jnl`	Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video. Comput. Methods Programs Biomed. Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani
2024	J	`jnl`	Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review. CoRR Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, Zuheng Ming
2024	J	`jnl`	Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches. CoRR Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai
2024	J	`jnl`	Video-based continuous affect recognition of children with Autism Spectrum Disorder using deep learning. Biomed. Signal Process. Control. Mamadou Dia, Ghazaleh Khodabandelou, Aznul Qalid Md Sabri, Alice Othmani
2023	B	`conf`	A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews. CBMS Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani
2023	—	`conf`	An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms. PRIME@MICCAI Alice Othmani, Muhammad Muzammel
2023	J	`jnl`	An Ambient Intelligence-based Approach For Longitudinal Monitoring of Verbal and Vocal Depression Symptoms. CoRR Alice Othmani, Muhammad Muzammel
2023	J	`jnl`	Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review. CoRR Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai
2023	J	`jnl`	EEG-based neural networks approaches for fatigue and drowsiness detection: A survey. Neurocomputing Alice Othmani, Aznul Qalid Md Sabri, Sinem Aslan, Faten Chaieb, Hala Rameh, Romain Alfred, Dayron Cohen
2023	J	`jnl`	Kinship recognition from faces using deep learning with imbalanced data. Multim. Tools Appl. Alice Othmani, Duqing Han, Xin Gao, Runpeng Ye, Abdenour Hadid
2023	J	`jnl`	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 Sana Yasin, Alice Othmani, Imran Raza, Syed Asad Hussain
2023	—	`conf`	Monitoring Application-driven Continuous Affect Recognition From Video Frames. IVSP Stephen Khor Wen Hwooi, Alice Othmani, Aznul Qalid Md Sabri
2023	—	`conf`	Multi-Annotation Attention Model for Video Summarization. CVPR Workshops Hacene Terbouche, Maryan Morel, Mariano Rodriguez, Alice Othmani
2023	B	`conf`	PD-Net: Multi-Stream Hybrid Healthcare System for Parkinson's Disease Detection using Multi Learning Trick Approach. CBMS Mustaqeem Khan, Ufaq Khan, Alice Othmani
2023	—	`conf`	Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative. BIBM Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai
2023	J	`jnl`	Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative. Comput. Methods Programs Biomed. Yun Xin Teoh, Alice Othmani, Khin Wee Lai, Siew-Li Goh, Juliana Usman
2022	—	`conf`	A Mobile Monitoring Application for Post-traumatic Stress Disorder. MICAD Sirine Chaari, Chaima El Ouni, Alice Othmani
2022	J	`jnl`	A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data. Comput. Methods Programs Biomed. Alice Othmani, Assaad Oussama Zeghina, Muhammad Muzammel
2022	—	`conf`	Alzheimer's Disease Detection Using Ensemble Learning and Artificial Neural Networks. RTIP2R Ahana Bandyopadhyay, Sourodip Ghosh, Moinak Bose, Arun Singh, Alice Othmani, KC Santosh
2022	—	`conf`	BD-Transformer: A Transformer-Based Approach for Bipolar Disorder Classification Using Audio. MICAD Mohamed Ramadan, Hazem Abdelkawy, Mustaqueem, Alice Othmani
2022	J	`jnl`	Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning. IEEE Access Hacene Terbouche, Liam Schoneveld, Oisin Benson, Alice Othmani
2022	J	`jnl`	Deep Learning-Based Approach for Continuous Affect Prediction From Facial Expression Images in Valence-Arousal Space. IEEE Access Stephen Khor Wen Hwooi, Alice Othmani, Aznul Qalid Md Sabri
2022	J	`jnl`	MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech. Biomed. Signal Process. Control. Emna Rejaibi, Ali Komaty, Fabrice Mériaudeau, Said Agrebi, Alice Othmani
2022	J	`jnl`	PTSD in the Wild: A Video Database for Studying Post-Traumatic Stress Disorder Recognition in Unconstrained Environments. CoRR Moctar Abdoul Latif Sawadogo, Furkan Pala, Gurkirat Singh, Imen Selmi, Pauline Puteaux, Alice Othmani
2022	—	`conf`	Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection. RTIP2R Alice Othmani, Thibaut Bizet, Tanguy Pellerin, Badr Hamdi, Marc-Antoine Bock, Soumyabrata Dev
2022	J	`jnl`	Towards a General Deep Feature Extractor for Facial Expression Recognition. CoRR Liam Schoneveld, Alice Othmani
2022	J	`jnl`	Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images. CoRR Jason Walsh, Alice Othmani, Mayank Jain, Soumyabrata Dev
2021	J	`jnl`	EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review. Comput. Methods Programs Biomed. Sana Yasin, Syed Asad Hussain, Sinem Aslan, Imran Raza, Muhammad Muzammel, Alice Othmani
2021	J	`jnl`	End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis. Comput. Methods Programs Biomed. Muhammad Muzammel, Hanan Salam, Alice Othmani
2021	—	`conf`	How Intense Are Your Words? Understanding Emotion Intensity from Speech. ICCT Himadri Mukherjee, Hanan Salam, Alice Othmani, KC Santosh
2021	B	`conf`	Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary Study. CBMS Muhammad Muzammel, Alice Othmani, Himadri Mukherjee, Hanan Salam
2021	J	`jnl`	Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition. CoRR Liam Schoneveld, Alice Othmani, Hazem Abdelkawy
2021	J	`jnl`	Leveraging recent advances in deep learning for audio-Visual emotion recognition. Pattern Recognit. Lett. Liam Schoneveld, Alice Othmani, Hazem Abdelkawy
2021	J	`jnl`	Multi-facial patches aggregation network for facial expression recognition and facial regions contributions to emotion display. Multim. Tools Appl. Ahmed Rachid Hazourli, Amine Djeghri, Hanan Salam, Alice Othmani
2021	B	`conf`	Towards a General Deep Feature Extractor for Facial Expression Recognition. ICIP Liam Schoneveld, Alice Othmani
2020	J	`jnl`	Age estimation from faces using deep learning: A comparative analysis. Comput. Vis. Image Underst. Alice Othmani, Abdul Rahman Taleb, Hazem Abdelkawy, Abdenour Hadid
2020	J	`jnl`	AudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis. CoRR Muhammad Muzammel, Hanan Salam, Yann Hoffmann, Mohamed Chetouani, Alice Othmani
2020	J	`jnl`	Auditory perception based system for age classification and estimation using dynamic frequency sound. Multim. Tools Appl. Muhammad Ilyas, Alice Othmani, Amine Naït-Ali
2020	J	`jnl`	Computer-aided prediction of hearing loss based on auditory perception. Multim. Tools Appl. Muhammad Ilyas, Alice Othmani, Amine Naït-Ali
2020	J	`jnl`	Deep Multi-Facial Patches Aggregation Network For Facial Expression Recognition. CoRR Ahmed Rachid Hazourli, Amine Djeghri, Hanan Salam, Alice Othmani
2020	J	`jnl`	Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi
2020	J	`jnl`	Neural Networks based approaches for Major Depressive Disorder and Bipolar Disorder Diagnosis using EEG signals: A review. CoRR Sana Yasin, Syed Asad Hussain, Sinem Aslan, Imran Raza, Muhammad Muzammel, Alice Othmani
2020	—	`conf`	Towards Robust Deep Neural Networks for Affect and Depression Recognition from Speech. ICPR Workshops (2) Alice Othmani, Daoud Kadoch, Kamil Bentounes, Emna Rejaibi, Romain Alfred, Abdenour Hadid
2019	J	`jnl`	3D Geometric salient patterns analysis on 3D meshes. CoRR Alice Othmani, Fakhri Torkhani, Jean-Marie Favreau
2019	J	`jnl`	Clinical Depression and Affect Recognition with EmoAudioNet. CoRR Emna Rejaibi, Daoud Kadoch, Kamil Bentounes, Romain Alfred, Mohamed Daoudi, Abdenour Hadid, Alice Othmani
2019	J	`jnl`	MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech. CoRR Emna Rejaibi, Ali Komaty, Fabrice Mériaudeau, Said Agrebi, Alice Othmani
2018	—	`conf`	Prediction of Hearing Loss Based on Auditory Perception: A Preliminary Study. PRIME@MICCAI Muhammad Ilyas, Alice Othmani, Amine Naït-Ali