Outlier Detection and Visualisation in High Dimensional Data. - Lydia Boudjeloud; François Poulet (ICEIS (2), 2004)

Visual Interactive Evolutionary Algorithm for High Dimensional Data Clustering and Outlier Detection. - Lydia Boudjeloud; François Poulet (PAKDD, 2005)

Algorithme semi-interactif pour la sélection de dimensions. - Lydia Boudjeloud; François Poulet (EGC, 2006)

Semi Interactive Method for Data Mining. - Lydia Boudjeloud; François Poulet (ICEIS (2), 2006)

Algorithme interactif pour la sélection de dimensions en détection d'outlier. - Lydia Boudjeloud-Assala; François Poulet (Rev. d'Intelligence Artif., 2008)

Approche biomimétique coopérative pour la visualisation de grands graphes multidimensionels. - Lydia Boudjeloud-Assala; Hanane Azzag (EGC, 2010)

A cooperative biomimetic approach for high dimensional data mining. - Lydia Boudjeloud; Hanane Azzag (GECCO (Companion), 2011)

Iterative Evolutionary Subspace Clustering. - Lydia Boudjeloud-Assala; Alexandre Blansché (ICONIP (1), 2012)

Clustering Data Stream by a Sub-window Approach Using DCA. - Minh Thuy Ta; Le Thi Hoai An; Lydia Boudjeloud-Assala (MLDM, 2012)

Visual interactive evolutionary algorithm for high dimensional outlier detection and data clustering problems. - Lydia Boudjeloud-Assala (Int. J. Bio Inspired Comput., 2012)

An evolutionary approach for high dimensional attribute selection. - Lydia Boudjeloud-Assala (Int. J. Intell. Inf. Database Syst., 2012)

Processus itératif d'extraction de classes en non supervisée. - Alexandre Blansché; Lydia Boudjeloud-Assala (EGC, 2013)

An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach. - Minh Thuy Ta; Le Thi Hoai An; Lydia Boudjeloud-Assala (ICONIP (2), 2013)

Clustering Data Streams over Sliding Windows by DCA. - Minh Thuy Ta; Le Thi Hoai An; Lydia Boudjeloud-Assala (Advanced Computational Methods for Knowledge Engineering, 2013)

Determine Optimal Number of Clusters with an Elitist Evolutionary Approach. - Lydia Boudjeloud-Assala; Minh Thuy Ta (PAKDD (2), 2014)

Visual and Dynamic Change Detection for Data Streams. - Lydia Boudjeloud-Assala; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (ICONIP (3), 2015)

Exploration and Visualization Approach for Outlier Detection on Log Files. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (New Trends in Intelligent Information and Database Systems, 2015)

Big Data Clustering using Data Streams Approach. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (BDAW, 2016)

Clustering visuel semi-interactif. - Lydia Boudjeloud; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (EGC, 2016)

Approche de Clustering de Flux basée sur les Graphes de Voisinage. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (EGC, 2016)

Incremental nearest neighborhood graph for data stream clustering. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (IJCNN, 2016)

Interactive and iterative visual clustering. - Lydia Boudjeloud-Assala; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (Inf. Vis., 2016)

Traitement de Flux par un Graphe de Voisinage Incrémental. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (Fouille de Données Complexes, 2016)

K-Spectral Centroïd pour des données massives. - Brieuc Conan-Guez; Alain Gély; Lydia Boudjeloud-Assala; Alexandre Blansché (EGC, 2017)

Subspace Clustering et Visualisation des Flux de Données. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (EGC, 2017)

Subspace Clustering and Visualization of Data Streams. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (VISIGRAPP (3: IVAPP), 2017)

A clustering algorithm based on elitist evolutionary approach. - Lydia Boudjeloud-Assala; Ta Minh Thuy (Int. J. Bio Inspired Comput., 2017)

K-spectral centroid: extension and optimizations. - Brieuc Conan-Guez; Alain Gély; Lydia Boudjeloud-Assala; Alexandre Blansché (ESANN, 2018)

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 (ECML/PKDD (3), 2019)

Biclustering itératif par une approche évolutionnaire. - Alexandre Blansché; Lydia Boudjeloud (EGC, 2020)

Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors. - Laure Crochepierre; Lydia Boudjeloud-Assala; Vincent Barbesant (ECML/PKDD (4), 2020)

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 (EGC, 2021)

Interactive Feature Extraction using Implicit Knowledge Elicitation : Application to Power System Expertise. - Laure Crochepierre; Lydia Boudjeloud-Assala; Vincent Barbesant (HICSS, 2022)

Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks. - Laure Crochepierre; Lydia Boudjeloud-Assala; Vincent Barbesant (IJCAI, 2022)

A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression. - Laure Crochepierre; Lydia Boudjeloud-Assala; Vincent Barbesant (CoRR, 2022)