Study of the impact of climate change on precipitation in Paris area using method based on iterative multiscale dynamic time warping (IMS-DTW). - Mohamed Djallel Dilmi; Laurent Barthes; Cécile Mallet; Aymeric Chazottes (CoRR, 2019)

Iterative multiscale dynamic time warping (IMs-DTW): a tool for rainfall time series comparison. - Mohamed Djallel Dilmi; Laurent Barthes; Cécile Mallet; Aymeric Chazottes (Int. J. Data Sci. Anal., 2020)

Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset. - Reda Khoufache; Mohamed Djallel Dilmi; Hanene Azzag; Etienne Gofinnet; Mustapha Lebbah (ICDM (Workshops), 2022)

Transformer-based conditional generative adversarial network for multivariate time series generation. - Abdellah Madane; Mohamed Djallel Dilmi; Florent Forest; Hanane Azzag; Mustapha Lebbah; Jérôme Lacaille (CoRR, 2022)

TabSRA: An Attention based Self-Explainable Model for Tabular Learning. - Kodjo Mawuena Amekoe; Mohamed Djallel Dilmi; Hanene Azzag; Zaineb Chelly Dagdia; Mustapha Lebbah; Gregoire Jaffre (ESANN, 2023)

Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données d'images multivues. - Reda Khoufache; Mohamed Djallel Dilmi; Hanene Azzag; Étienne Goffinet; Mustapha Lebbah (EGC, 2023)

Context Normalization Layer with Applications. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Mohamed Djallel Dilmi; Djamel Bouchaffra (ICDM (Workshops), 2023)

Context Normalization for Robust Image Classification. - Bilal Faye; Mohamed Djallel Dilmi; Hanane Azzag; Mustapha Lebbah; Fangchen Feng (CoRR, 2023)

Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression. - Mohamed Djallel Dilmi; Hanene Azzag; Mustapha Lebbah (CoRR, 2023)

Self-Reinforcement Attention Mechanism For Tabular Learning. - Kodjo Mawuena Amekoe; Mohamed Djallel Dilmi; Hanene Azzag; Mustapha Lebbah; Zaineb Chelly Dagdia; Gregoire Jaffre (CoRR, 2023)

ÉPI-ATTENTION : Une attention contextuelle adaptative pour la pertinence dynamique des caractéristiques dans les réseaux de neurones. - Faten Chaeib-Chakchouk; Mohamed Djallel Dilmi (EGC, 2025)

Approche deep learning pour la prédiction de trajectoire de piétons à partir de données fisheye. - Elisa-Souad Goulahsen; Faten Chaieb-Chakchouk; Mohamed Djallel Dilmi; Katarzyna Wolska (EGC, 2025)

All-in-one: une méthode neuronale pour la détection de la démence. - Ahmad Tay; Mohamed Djallel Dilmi (EGC, 2025)

VoiceTransformer pour la détection précoce des maladies neurodégénératives. - Ahmad Tay; Mohamed Djallel Dilmi; Faten Chaieb-Chakchouk (EGC, 2025)