POP: A Parallel Optimized Preparation of Data for Data Mining. - Christian Ernst; Youssef Hmamouche; Alain Casali (KDIR, 2015)

Improving Multivariate Time Series Forecasting with Random Walks with Restarts on Causality Graphs. - Piotr Przymus; Youssef Hmamouche; Alain Casali; Lotfi Lakhal (ICDM Workshops, 2017)

Finding Relevant Multivariate Models for Multi-plant Photovoltaic Energy Forecasting. - Youssef Hmamouche; Piotr Przymus; Lotfi Lakhal; Alain Casali (DC@PKDD/ECML, 2017)

Predictors Extraction in Time Series Using Authorities-Hubs Ranking. - Youssef Hmamouche; Lotfi Lakhal; Alain Casali (ICDM Workshops, 2018)

Prédiction des Séries Temporelles Larges. (Prediction of Large Time Series). - Youssef Hmamouche (2018)

Neuroscience to Investigate Social Mechanisms Involved in Human-Robot Interactions. - Youssef Hmamouche; Magalie Ochs; Laurent Prévot 001; Thierry Chaminade (ICMI Companion, 2020)

Exploring the Dependencies between Behavioral and Neuro-physiological Time-series Extracted from Conversations between Humans and Artificial Agents. - Youssef Hmamouche; Magalie Ochs; Laurent Prévot 001; Thierry Chaminade (ICPRAM, 2020)

Identifying Causal Relationships Between Behavior and Local Brain Activity During Natural Conversation. - Youssef Hmamouche; Laurent Prévot 001; Magalie Ochs; Thierry Chaminade (INTERSPEECH, 2020)

BrainPredict: a Tool for Predicting and Visualising Local Brain Activity. - Youssef Hmamouche; Laurent Prévot 001; Magalie Ochs; Thierry Chaminade (LREC, 2020)

Multimodal Corpus of Bidirectional Conversation of Human-human and Human-robot Interaction during fMRI Scanning. - Birgit Rauchbauer; Youssef Hmamouche; Brigitte Bigi; Laurent Prévot 001; Magalie Ochs; Thierry Chaminade (LREC, 2020)

NlinTS: An R Package For Causality Detection in Time Series. - Youssef Hmamouche (R J., 2020)

A scalable framework for large time series prediction. - Youssef Hmamouche; Lotfi Lakhal; Alain Casali (Knowl. Inf. Syst., 2021)

A Spatio-temporal Deep Learning Approach for Underwater Acoustic Signals Classification. - Zakaria Alouani; Youssef Hmamouche; Btissam El Khamlichi; Amal El Fallah Seghrouchni (AVSS, 2022)

Inception-based Deep Learning Architecture for 3D Point Cloud Completion. - Houda Saffi; Youssef Hmamouche; Omar Elharrouss; Amal El Fallah Seghrouchni (AVSS, 2022)

Listen and tell me who the user is talking to: Automatic detection of the interlocutor's type during a conversation. - Youssef Hmamouche; Magalie Ochs; Thierry Chaminade; Laurent Prévot 001 (RO-MAN, 2022)

Refined edge detection with cascaded and high-resolution convolutional network. - Omar Elharrouss; Youssef Hmamouche; Assia Kamal Idrissi; Btissam El Khamlichi; Amal El Fallah Seghrouchni (Pattern Recognit., 2023)

Auto-BPA: An Enhanced Ball-Pivoting Algorithm with Adaptive Radius using Contextual Bandits. - Houda Saffi; Naima Otberdout; Youssef Hmamouche; Amal El Fallah Seghrouchni (WACV, 2024)

A multimodal LLM for the non-invasive decoding of spoken text from brain recordings. - Youssef Hmamouche; Ismail Chihab; Lahoucine Kdouri; Amal El Fallah Seghrouchni (CoRR, 2024)

Predicting Activity in Brain Areas Associated with Emotion Processing Using Multimodal Behavioral Signals. - Lahoucine Kdouri; Youssef Hmamouche; Amal El Fallah Seghrouchni; Thierry Chaminade (Multimodal Technol. Interact., 2025)

Strategic Deflection: Defending LLMs from Logit Manipulation. - Yassine Rachidy; Jihad Rbaiti; Youssef Hmamouche; Faissal Sehbaoui; Amal El Fallah Seghrouchni (CoRR, 2025)