Boudjeloud-Assala, Lydia

Full Professor, Université de Lorraine (IUT Metz)

WG leader

Publications

2025

Research report

  1. 2024 Activity Report — Orpailleur Team (LORIA) : Knowledge Discovery and Knowledge Engineering. Miguel Couceiro, Frédéric Pennerath, Amedeo Napoli, Lydia Boudjeloud-Assala, Brieuc Conan-Guez, Alain Gély.

2024

Research report

  1. 2023 Activity Report – Orpailleur Team (LORIA) : Knowledge Discovery and Knowledge Engineering. Amedeo Napoli, Alexandre Blansché, Lydia Boudjeloud-Assala, Brieuc Conan-Guez, Miguel Couceiro, Alain Gély, Frédéric Pennerath, Yannick Toussaint, Mario Valencia-Pabon.

2022

Book

  1. Advances in Knowledge Discovery and Management, Volume 9. Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjeloud-Assala, Fabrice Guillet.

Conference paper

  1. Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks. Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant. In proceedings of IJCAI 2022- 31st International Joint Conference on Artificial Intelligence, Vienne, Austria.
  2. Interactive Feature Extraction using Implicit Knowledge Elicitation : Application to Power System Expertise. Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant. In proceedings of HICSS 2022 - Hawaii International Conference on System Sciences, Maui, United States.

Other publications

  1. A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression. Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant.

2021

Conference paper

  1. Approche interactive d’extraction de variables interprétables et explicatives pour la gestion des contraintes du réseau électrique français. Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant. In proceedings of EGC 2021 - 21ème édition de la conférence “Extraction et Gestion des Connaissances”, Montpellier / Virtual, France.

2020

Conference paper

  1. Biclustering itératif par une approche évolutionnaire. Alexandre Blansché, Lydia Boudjeloud-Assala. In proceedings of EGC 2020 Extraction et Gestion des Connaissances, Brussels, Belgium.
  2. Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors. Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant. In proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML/PKDD’20, Gand (Virtual Conference), Belgium.

2019

Conference paper

  1. How to evaluate a subspace visual projection in interactive visual systems? A position paper. Lydia Boudjeloud-Assala. In proceedings of IEEE VIS 2019 - EVIVA-ML workshop on EValuation of Interactive VisuAl Machine Learning systems, Vancouver, Canada.
  2. Comparaison et Partitionnement de Séries Temporelles Basés sur la Forme des Séries. Brieuc Conan-Guez, Alain Gély, Lydia Boudjeloud-Assala, Alexandre Blansché. In proceedings of XXVIe Rencontres de la Société Francophone de Classification, Nancy, France.
  3. Représentation de données temporelles par un modèle à échelle logarithmique. Brieuc Conan-Guez, Alain Gély, Lydia Boudjeloud-Assala, Alexandre Blansché, Dario Compagno, Arnaud Mercier. In proceedings of 13e atelier Fouille de données complexes dans le cadre de la 16e conférence internationale francophone (EGC 2016), Reims, France.
  4. Utilisation de réseau de neurones siamois en clustering : application aux événements du réseau électrique français. Laure Crochepierre, Antoine Marot, Vincent Barbesant, Benjamin Donnot, Lydia Boudjeloud-Assala. In proceedings of Rencontres de la Société Francophone de Classification, Nancy, France.
  5. Labellisation semi-supervisée de données : Vers une approche experte étendue. Laure Crochepierre, Antoine Marot, Vincent Barbesant, Benjamin Donnot, Lydia Boudjeloud-Assala. In proceedings of GAST 2019 - Atelier Gestion et Analyse des données Spatiales et Temporelles, Metz, France.
  6. Interpreting atypical conditions in systems with deep conditional Autoencoders: the case of electrical consumption. Antoine Marot, Antoine Rosin, Laure Crochepierre, Benjamin Donnot, Pierre Pinson, Lydia Boudjeloud-Assala. In proceedings of ECML PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Wurzburg, Germany.

Proceedings

  1. Extraction et Gestion des Connaissances, EGC’2019, Revue des Nouvelles Technologies de l’Information. Marie-Christine Rousset, Lydia Boudjeloud-Assala. Marie-Christine Rousset, Lydia Boudjeloud-Assala (eds). 2019.

2018

Conference paper

  1. K-spectral centroid: extension and optimizations. Brieuc Conan-Guez, Alain Gély, Lydia Boudjeloud, Alexandre Blansché. In proceedings of ESANN 2018 - 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium.

2017

Journal

  1. A clustering algorithm based on elitist evolutionary approach. Lydia Boudjeloud Assala, Minh Thuy Ta. International Journal of Bio-Inspired Computation, InderScience publisher.

Conference paper

  1. K-Spectral Centroïd pour des données massives. Brieuc Conan-Guez, Alain Gély, Lydia Boudjeloud-Assala, Alexandre Blansché. In proceedings of 17ième Conférence d’Extraction et de Gestion des Connaissances (EGC 2017), Grenoble, France.
  2. Subspace Clustering and Visualization of Data Streams. Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier. In proceedings of International Conference on Information Visualization Theory and Applications, Porto, France.
  3. Subspace Clustering et Visualisation des Flux de Données. Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier. In proceedings of 17ème Journées Francophones Extraction et Gestion des Connaissances, EGC’2017, Grenoble, France.

2016

Journal

  1. Interactive and iterative visual clustering. Lydia Boudjeloud-Assala, Philippe Pinheiro, Alexandre Blansché, Thomas Tamisier, Benoît Otjacques. Information Visualization, SAGE Publications.

Book chapter

  1. Traitement de Flux par un Graphe de Voisinage Incrémental. Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier.

Conference paper

  1. Clustering visuel semi-interactif. Lydia Boudjeloud-Assala, Philippe Pinheiro, Alexandre Blansché, Thomas Tamisier, Benoît Otjacques. In proceedings of 16ème Journées Francophones Extraction et Gestion des Connaissances, EGC 2016, 18-22 Janvier 2016, Reims, France. Revue des Nouvelles Technologies de l’Information E-30, Éditions RNTI 2016, Reims, France.
  2. Big Data Clustering using Data Streams Approach. Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier. In proceedings of the International Conference on Big Data and Advanced Wireless technologies, BDAW 2016., Blagoevgrad, France.
  3. Incremental nearest neighborhood graph for data stream clustering. Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier. In proceedings of 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, France.
  4. Approche de Clustering de Flux basée sur les Graphes de Voisinage. Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier. In proceedings of 16ème Journées Francophones Extraction et Gestion des Connaissances, EGC 2016, 18-22 Janvier 2016, Reims, France, Reims, France.

Proceedings

  1. Atelier Grands Graphes et Bioinformatique. Etienne Birmelé, Mohamed Elati, Blaise Hanczar, Lydia Boudjeloud-Assala.

2015

Book chapter

  1. Exploration and Visualization Approach for Outlier Detection on Log Files. Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier.

Conference paper

  1. Visual and Dynamic Change Detection for Data Streams. Lydia Boudjeloud-Assala, Philippe Pinheiro, Alexandre Blansché, Thomas Tamisier, Benoît Otjacques. In proceedings of Neural Information Processing - 22nd International Conference,ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part3, Istanbul, Türkiye.
  2. Détection visuelle de changements pour les flux de données. Lydia Boudjeloud-Assala, Philippe Pinheiro, Alexandre Blansché, Thomas Tamisier, Benoît Otjacques. In proceedings of 22èmes journées de la Société Francophone de Classification, Nantes, France.

2014

Book chapter

  1. Determine Optimal Number of Clusters with an Elitist Evolutionary Approach. Lydia Boudjeloud-Assala, Ta Minh Thuy.

2013

Book chapter

  1. Clustering Data Streams over Sliding Windows by DCA. Ta Thuy, Le Thi Hoai An, Lydia Boudjeloud-Assala.

Conference paper

  1. An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach. Ta Minh Thuy, Hoai An Le Thi, Lydia Boudjeloud-Assala. In proceedings of Neural Information Processing - 20th International Conference, ICONIP2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part 2, Daegu, Korea, Republic of.

2012

Journal

  1. Visual interactive evolutionary algorithm for high dimensional outlier detection and data clustering problems. Lydia Boudjeloud Assala. International Journal of Bio-Inspired Computation, InderScience publisher.
  2. An evolutionary approach for high dimensional attribute selection. Lydia Boudjeloud Assala. International Journal of Intelligent Information and Database Systems, Inderscience.

Book chapter

  1. Clustering Data Stream by a Sub-window Approach Using DCA. Minh Thuy Ta, Hoai An Le Thi, Lydia Boudjeloud-Assala.

2011

Conference paper

  1. A Cooperative Biomimetic Approach for High Dimensional Data Mining. Lydia Boudjeloud, Hanane Azzag. In proceedings of Genetic and Evolutionary Computation Conference (GECCO-2011), Dublin, Ireland.

2008

Journal

  1. Algorithme interactif pour la sélection de dimensions en détection d’outliers. Lydia Boudjeloud, François Poulet. Revue des Sciences et Technologies de l’Information - Série RIA : Revue d’Intelligence Artificielle, Lavoisier.
  2. Algorithme génétique interactif pour la fouille de données. Lydia Boudjeloud, François Poulet. Revue I3 - Information Interaction Intelligence, Cépaduès.

2007

Book

  1. Actes du 5e atelier visualisation et extraction des connaissances - 7es journées d’extraction et gestion des connaissances, EGC’07. François Poulet, Bénédicte Le Grand, Lydia Boudjeloud.

2006

Book chapter

  1. Détection et interprétation visuelle d’outliers dans les grands ensembles de données. Lydia Boudjeloud, François Poulet, Esiea Recherche.

Conference paper

  1. Algorithme interactif pour la sélection de dimensions en détection d’outlier. Lydia Boudjeloud, François Poulet. In proceedings of 4e atelier visualisation et extraction des connaissances - 6e conférence internationale francophone sur l’extraction et la gestion des connaissances, EGC’06, lille, France.

2003

Conference paper

  1. Supply chain optimization with Petri Nets and Genetic Algorithms. Haoxun Chen, Lionel Amodeo, Lydia Boudjeloud. In proceedings of International Conference on Industrial Engineering and Production Management, Porto, Portugal.
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