Lydia Boudjeloud-Assala

Orcid: 0000-0002-2108-8473

Affiliations:
  • Université de Lorraine, Metz, France


According to our database1, Lydia Boudjeloud-Assala authored at least 35 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression.
CoRR, 2022

Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Interactive Feature Extraction using Implicit Knowledge Elicitation : Application to Power System Expertise.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021
Approche interactive d'extraction de variables interprétables et explicatives pour la gestion des contraintes du réseau électrique français.
Proceedings of the Extraction et Gestion des Connaissances, 2021

2020
Interpretable Dimensionally-Consistent Feature Extraction from Electrical Network Sensors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Biclustering itératif par une approche évolutionnaire.
Proceedings of the Extraction et Gestion des Connaissances, 2020

2019
Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
K-spectral centroid: extension and optimizations.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
A clustering algorithm based on elitist evolutionary approach.
Int. J. Bio Inspired Comput., 2017

Subspace Clustering and Visualization of Data Streams.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Porto, Portugal, February 27, 2017

Subspace Clustering et Visualisation des Flux de Données.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

K-Spectral Centroïd pour des données massives.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

2016
Traitement de Flux par un Graphe de Voisinage Incrémental.
Proceedings of the Fouille de Données Complexes, 2016

Interactive and iterative visual clustering.
Inf. Vis., 2016

Incremental nearest neighborhood graph for data stream clustering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Approche de Clustering de Flux basée sur les Graphes de Voisinage.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Clustering visuel semi-interactif.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Big Data Clustering using Data Streams Approach.
Proceedings of the International Conference on Big Data and Advanced Wireless Technologies, 2016

2015
Exploration and Visualization Approach for Outlier Detection on Log Files.
Proceedings of the New Trends in Intelligent Information and Database Systems, 2015

Visual and Dynamic Change Detection for Data Streams.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Determine Optimal Number of Clusters with an Elitist Evolutionary Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
Clustering Data Streams over Sliding Windows by DCA.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2013

An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Processus itératif d'extraction de classes en non supervisée.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

2012
An evolutionary approach for high dimensional attribute selection.
Int. J. Intell. Inf. Database Syst., 2012

Visual interactive evolutionary algorithm for high dimensional outlier detection and data clustering problems.
Int. J. Bio Inspired Comput., 2012

Clustering Data Stream by a Sub-window Approach Using DCA.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Iterative Evolutionary Subspace Clustering.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
A cooperative biomimetic approach for high dimensional data mining.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Approche biomimétique coopérative pour la visualisation de grands graphes multidimensionels.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2008
Algorithme interactif pour la sélection de dimensions en détection d'outlier.
Rev. d'Intelligence Artif., 2008

2006
Semi Interactive Method for Data Mining.
Proceedings of the ICEIS 2006, 2006

Algorithme semi-interactif pour la sélection de dimensions.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

2005
Visual Interactive Evolutionary Algorithm for High Dimensional Data Clustering and Outlier Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

2004
Outlier Detection and Visualisation in High Dimensional Data.
Proceedings of the ICEIS 2004, 2004


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