Hmamouche Youssef
Hmamouche Youssef
Aix Marseille Université
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Cytowane przez
Causality based feature selection approach for multivariate time series forecasting
Y Hmamouche, A Casali, L Lakhal
DBKDA 2017, The Ninth International Conference on Advances in Databases …, 2017
Improving multivariate time series forecasting with random walks with restarts on causality graphs
P Przymus, Y Hmamouche, A Casali, L Lakhal
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 924-931, 2017
Multimodal corpus of bidirectional conversation of human-human and human-robot interaction during fMRI scanning
B Rauchbauer, Y Hmamouche, B Bigi, L Prevot, M Ochs, C Thierry
Proceedings of The 12th Language Resources and Evaluation Conference, 661--668, 2020
Automatic KDD Data Preparation Using Multi-criteria Features
Y Hmamouche, C Ernst, A Casali
idea 1 (p2), 1, 2015
Predictors Extraction in Time Series using Authorities-Hubs Ranking
Y Hmamouche, L Lakhal, A Casali
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1070-1079, 2018
Exploring the Dependencies between Behavioral and Neuro-physiological Time-series Extracted from Conversations between Humans and Artificial Agents
Y Hmamouche, O Magalie, L Prevot, C Thierry
9th International Conference on Pattern Recognition Applications and Methods …, 2020
Large Multivariate Time Series Forecasting: Survey on Methods and Scalability
Y Hmamouche, PM Przymus, H Alouaoui, A Casali, L Lakhal
Utilizing big data paradigms for business intelligence, 170-197, 2019
BrainPredict: a Tool for Predicting and Visualising Local Brain Activity
Y Hmamouche, L Prevot, M Ochs, C Thierry
Proceedings of The 12th Language Resources and Evaluation Conference, 703--709, 2020
GFSM: a Feature Selection Method for Improving Time Series Forecasting
Y Hmamouche, P Przymus, A Casali, L Lakhal
International Journal On Advances in Systems and Measurements, 2017
POP: A Parallel Optimized Preparation of data for data mining
C Ernst, Y Hmamouche, A Casali
2015 7th International Joint Conference on Knowledge Discovery, Knowledge …, 2015
A scalable framework for large time series prediction
Y Hmamouche, L Lakhal, A Casali
Knowledge and Information Systems, 1-24, 2021
Neuroscience to Investigate Social Mechanisms Involved in Human-Robot Interactions
Y Hmamouche, M Ochs, L Prévot, T Chaminade
Companion Publication of the 2020 International Conference on Multimodal …, 2020
Comparer les activités cérébrales lors de conversations humain-humain et humain-agent artificiel avec BrainPredict
Y Hmamouche, M Ochs, L Prevot, C Thierry
Workshop sur les Affects, Compagnons artificiels et Interactions, 2020
NlinTS: An R Package For Causality Detection in Time Series
Y Hmamouche
The R Journal 12 (1), 21-31, 2020
Prédiction des séries temporelles larges
Y Hmamouche
AMU-Aix Marseille Université, 2018
Finding relevant multivariate models for multi-plant photovoltaic energy forecasting
Y Hmamouche, P Przymus, L Lakhal, A Casali
DC@PKDD/ECML 2017, 2017
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