Youssef Hmamouche

According to our database, Youssef Hmamouche authored at least 18 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Auto-BPA: An Enhanced Ball-Pivoting Algorithm with Adaptive Radius using Contextual Bandits.

Houda Saffi, Naima Otberdout, Youssef Hmamouche, Amal El Fallah Seghrouchni

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

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., June, 2023

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

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Inception-based Deep Learning Architecture for 3D Point Cloud Completion.

Houda Saffi, Youssef Hmamouche, Omar Elharrouss, Amal El Fallah Seghrouchni

Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

A Spatio-temporal Deep Learning Approach for Underwater Acoustic Signals Classification.

Zakaria Alouani, Youssef Hmamouche, Btissam El Khamlichi, Amal El Fallah Seghrouchni

Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021

A scalable framework for large time series prediction.

Youssef Hmamouche, Lotfi Lakhal, Alain Casali

Knowl. Inf. Syst., 2021

2020

NlinTS: An R Package For Causality Detection in Time Series.

Youssef Hmamouche

R J., 2020

Multimodal Corpus of Bidirectional Conversation of Human-human and Human-robot Interaction during fMRI Scanning.

Birgit Rauchbauer, Youssef Hmamouche, Brigitte Bigi, Laurent Prévot, Magalie Ochs, Thierry Chaminade

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

BrainPredict: a Tool for Predicting and Visualising Local Brain Activity.

Youssef Hmamouche, Laurent Prévot, Magalie Ochs, Thierry Chaminade

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Identifying Causal Relationships Between Behavior and Local Brain Activity During Natural Conversation.

Youssef Hmamouche, Laurent Prévot, Magalie Ochs, Thierry Chaminade

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 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, Thierry Chaminade

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Neuroscience to Investigate Social Mechanisms Involved in Human-Robot Interactions.

Youssef Hmamouche, Magalie Ochs, Laurent Prévot, Thierry Chaminade

Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

2018

Prédiction des Séries Temporelles Larges. (Prediction of Large Time Series).

Youssef Hmamouche

PhD thesis, 2018

Predictors Extraction in Time Series Using Authorities-Hubs Ranking.

Youssef Hmamouche, Lotfi Lakhal, Alain Casali

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Finding Relevant Multivariate Models for Multi-plant Photovoltaic Energy Forecasting.

Youssef Hmamouche, Piotr Przymus, Lotfi Lakhal, Alain Casali

Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning, 2017

Improving Multivariate Time Series Forecasting with Random Walks with Restarts on Causality Graphs.

Piotr Przymus, Youssef Hmamouche, Alain Casali, Lotfi Lakhal

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2015

POP: A Parallel Optimized Preparation of Data for Data Mining.

Christian Ernst, Youssef Hmamouche, Alain Casali

Proceedings of the KDIR 2015, 2015