Lydia Boudjeloud-Assala

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 16

Top Topics

Nearest Neighbor

Subgraph Mining

Symbolic Regression

Top Venues

VISIGRAPP (3: IVAPP)

Publications

Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant
Interactive Feature Extraction using Implicit Knowledge Elicitation : Application to Power System Expertise. HICSS (2022)
Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant
Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks. IJCAI (2022)
Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression. CoRR (2022)
Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant
Approche interactive d'extraction de variables interprétables et explicatives pour la gestion des contraintes du réseau électrique français. EGC (2021)
Laure Crochepierre, Lydia Boudjeloud-Assala, Vincent Barbesant
Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors. ECML/PKDD (4) (2020)
Antoine Marot, Antoine Rosin, Laure Crochepierre, Benjamin Donnot, Pierre Pinson, Lydia Boudjeloud-Assala
Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption. ECML/PKDD (3) (2019)
Brieuc Conan-Guez, Alain Gély, Lydia Boudjeloud-Assala, Alexandre Blansché
K-spectral centroid: extension and optimizations. ESANN (2018)
Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier
Subspace Clustering et Visualisation des Flux de Données. EGC (2017)
Brieuc Conan-Guez, Alain Gély, Lydia Boudjeloud-Assala, Alexandre Blansché
K-Spectral Centroïd pour des données massives. EGC (2017)
Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier
Subspace Clustering and Visualization of Data Streams. VISIGRAPP (3: IVAPP) (2017)
Lydia Boudjeloud-Assala, Ta Minh Thuy
A clustering algorithm based on elitist evolutionary approach. Int. J. Bio Inspired Comput. 10 (4) (2017)
Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier
Incremental nearest neighborhood graph for data stream clustering. IJCNN (2016)
Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier
Approche de Clustering de Flux basée sur les Graphes de Voisinage. EGC (2016)
Lydia Boudjeloud-Assala, Philippe Pinheiro, Alexandre Blansché, Thomas Tamisier, Benoît Otjacques
Interactive and iterative visual clustering. Inf. Vis. 15 (3) (2016)
Ibrahim Louhi, Lydia Boudjeloud-Assala, Thomas Tamisier
Big Data Clustering using Data Streams Approach. BDAW (2016)
Lydia Boudjeloud-Assala, Philippe Pinheiro, Alexandre Blansché, Thomas Tamisier, Benoît Otjacques
Visual and Dynamic Change Detection for Data Streams. ICONIP (3) (2015)
Lydia Boudjeloud-Assala, Minh Thuy Ta
Determine Optimal Number of Clusters with an Elitist Evolutionary Approach. PAKDD (2) (2014)
Minh Thuy Ta, Le Thi Hoai An, Lydia Boudjeloud-Assala
An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach. ICONIP (2) (2013)
Alexandre Blansché, Lydia Boudjeloud-Assala
Processus itératif d'extraction de classes en non supervisée. EGC (2013)
Minh Thuy Ta, Le Thi Hoai An, Lydia Boudjeloud-Assala
Clustering Data Stream by a Sub-window Approach Using DCA. MLDM (2012)
Lydia Boudjeloud-Assala
Visual interactive evolutionary algorithm for high dimensional outlier detection and data clustering problems. Int. J. Bio Inspired Comput. 4 (1) (2012)
Lydia Boudjeloud-Assala
An evolutionary approach for high dimensional attribute selection. Int. J. Intell. Inf. Database Syst. 6 (6) (2012)
Lydia Boudjeloud-Assala, Alexandre Blansché
Iterative Evolutionary Subspace Clustering. ICONIP (1) (2012)
Lydia Boudjeloud-Assala, Hanane Azzag
Approche biomimétique coopérative pour la visualisation de grands graphes multidimensionels. EGC (2010)
Lydia Boudjeloud-Assala, François Poulet
Algorithme interactif pour la sélection de dimensions en détection d'outlier. Rev. d'Intelligence Artif. 22 (3-4) (2008)