Monsieur Youssef HMAMOUCHE / PhD

enseignant-chercheur, enseignant du supérieur*chercheur en milieu académique*chercheur en entreprise, R&D du secteur privé*

Contact details

Professional experience

Jobs

Additional information : Les échecs

Research : NON

Skills

- Developpement des interfaces graphiques en Qt/C++.

Techniques

- Machine learning - Data mining - Mathématiques appliquées - Statistiques - Programmation en R, Python et C++. - Programmation distribuée avec Spark/Hadoop.

PhD

Title : Informatique

First registration date : 1 May 2015 / 4A

Doctoral school : Mathématiques et Informatique de Marseille

Thesis defense date : 13 December 2018

Subject : Prédiction des Séries Temporelles Larges

Thesis supervisor : LAKHAL Lotfi

Thesis co-supervisor : CASALI Alain

Research unit : LIS Laboratoire d'Informatique et Systèmes

Team : Bases de données et Apprentissage Automatique

Master's degree

Title : Master 2 recherche

December 2014 - Ecole des Mines de Saint-Etienne

Publications

  • Automatic KDD Data Preparation Using Multi-criteria Features.
    IMMM 2015 - The Fifth International Conference on Advances in Information Mining and Management, 2015
    Youssef Hmamouche, Christian Ernst, Alain Casali

  • POP: A Parallel Optimized Preparation of Data for Data Mining.
    KDIR 2015 - The 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management., 2015
    Christian Ernst, Youssef Hmamouche, Alain Casali

  • Automatic KDD Data Preparation Using Parallelism
    International Journal On Advances in Software, 2016
    Youssef Hmamouche, Christian Ernst, and Alain Casali

  • A Causality based feature selection approach for multivariate time series forecasting.
    The Ninth International Conference on Advances in Databases, Knowledge, and Data Applications, 2017
    Youssef Hmamouche, Alain Casali, Lotfi Lakhal
    https://www.researchgate.net/publication/318108815_A_Causality-Based_Feature_Selection_Approach_For_Multivariate_Time_Series_Forecasting
  • Finding Relevant Multivariate Models for Multi-plant Photovoltaic Energy Forecasting.
    Proceedings of the {ECML/PKDD} Discovery Challenges co-located with European Conference on Machine Learning - Principle and Practice of Knowledge Discovery in Database {(ECML} {PKDD} 2017), Skopje, Macedonia, September 1, 2017
    Youssef Hmamouche, Piotr Przymus, Lotfi Lakhal, Alain Casali
    http://ceur-ws.org/Vol-1972/paper2.pdf
  • Large Multivariate Time Series Forecasting: Survey on Methods and Scalability
    Utilizing Big Data Paradigms for Business Intelligence, 2018
    Hmamouche, Youssef and Przymus, Piotr Marian and Alouaoui, Hana and Casali, Alain and Lakhal, Lotfi
    https://www.igi-global.com/chapter/large-multivariate-time-series-forecasting/209572
  • Improving Multivariate Time Series Forecasting with Random Walks with Restarts on Causality Graphs
    Data Mining Workshops (ICDMW), 2017 IEEE International Conference on. IEEE, 2017
    Piotr Przymus, Youssef Hmamouche, Alain Casali, Lotfi Lakhal
    https://ieeexplore.ieee.org/document/8215761/

Languages

Anglais : B2 - Intermédiaire supérieur

Français : B2 - Intermédiaire supérieur

Arabe : C2 - Maternel