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ORCIDYoussef Hmamouche
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Books and Theses
- 2018
[b1]Youssef Hmamouche:
Prédiction des Séries Temporelles Larges. (Prediction of Large Time Series). Aix-Marseille University, France, 2018
Journal Articles
- 2023
- [j3]Omar Elharrouss
, Youssef Hmamouche, Assia Kamal Idrissi, Btissam El Khamlichi, Amal El Fallah Seghrouchni:
Refined edge detection with cascaded and high-resolution convolutional network. Pattern Recognit. 138: 109361 (2023) - 2021
- [j2]Youssef Hmamouche, Lotfi Lakhal, Alain Casali:
A scalable framework for large time series prediction. Knowl. Inf. Syst. 63(5): 1093-1116 (2021) - 2020
- [j1]Youssef Hmamouche:
NlinTS: An R Package For Causality Detection in Time Series. R J. 12(1): 21 (2020)
Conference and Workshop Papers
- 2024
- [c13]Houda Saffi, Naima Otberdout, Youssef Hmamouche, Amal El Fallah Seghrouchni:
Auto-BPA: An Enhanced Ball-Pivoting Algorithm with Adaptive Radius using Contextual Bandits. WACV 2024: 3717-3725 - 2022
- [c12]Zakaria Alouani, Youssef Hmamouche, Btissam El Khamlichi, Amal El Fallah Seghrouchni:
A Spatio-temporal Deep Learning Approach for Underwater Acoustic Signals Classification. AVSS 2022: 1-7 - [c11]Houda Saffi, Youssef Hmamouche, Omar Elharrouss, Amal El Fallah Seghrouchni:
Inception-based Deep Learning Architecture for 3D Point Cloud Completion. AVSS 2022: 1-7 - [c10]Youssef Hmamouche, Magalie Ochs, Thierry Chaminade, Laurent Prévot:
Listen and tell me who the user is talking to: Automatic detection of the interlocutor's type during a conversation. RO-MAN 2022: 660-665 - 2020
- [c9]Youssef Hmamouche, Magalie Ochs, Laurent Prévot, Thierry Chaminade:
Neuroscience to Investigate Social Mechanisms Involved in Human-Robot Interactions. ICMI Companion 2020: 52-56 - [c8]Youssef Hmamouche, Magalie Ochs, Laurent Prévot, Thierry Chaminade:
Exploring the Dependencies between Behavioral and Neuro-physiological Time-series Extracted from Conversations between Humans and Artificial Agents. ICPRAM 2020: 353-360 - [c7]Youssef Hmamouche, Laurent Prévot, Magalie Ochs, Thierry Chaminade:
Identifying Causal Relationships Between Behavior and Local Brain Activity During Natural Conversation. INTERSPEECH 2020: 101-105 - [c6]Birgit Rauchbauer, Youssef Hmamouche, Brigitte Bigi, Laurent Prévot, Magalie Ochs, Thierry Chaminade:
Multimodal Corpus of Bidirectional Conversation of Human-human and Human-robot Interaction during fMRI Scanning. LREC 2020: 668-675 - [c5]Youssef Hmamouche, Laurent Prévot, Magalie Ochs, Thierry Chaminade:
BrainPredict: a Tool for Predicting and Visualising Local Brain Activity. LREC 2020: 710-716 - 2018
- [c4]Youssef Hmamouche, Lotfi Lakhal, Alain Casali:
Predictors Extraction in Time Series Using Authorities-Hubs Ranking. ICDM Workshops 2018: 1070-1079 - 2017
- [c3]Piotr Przymus, Youssef Hmamouche, Alain Casali, Lotfi Lakhal:
Improving Multivariate Time Series Forecasting with Random Walks with Restarts on Causality Graphs. ICDM Workshops 2017: 924-931 - [c2]Youssef Hmamouche, Piotr Przymus, Lotfi Lakhal, Alain Casali:
Finding Relevant Multivariate Models for Multi-plant Photovoltaic Energy Forecasting. DC@PKDD/ECML 2017 - 2015
- [c1]Christian Ernst, Youssef Hmamouche, Alain Casali:
POP: A Parallel Optimized Preparation of Data for Data Mining. KDIR 2015: 36-45
Informal and Other Publications
- 2024
- [i1]Youssef Hmamouche, Ismail Chihab, Lahoucine Kdouri, Amal El Fallah Seghrouchni:
A multimodal LLM for the non-invasive decoding of spoken text from brain recordings. CoRR abs/2409.19710 (2024)
Coauthor Index
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