Guénaël Cabanes

Abdelfettah Touzani

J. Intell. Syst., 2021

On the use of Wasserstein metric in topological clustering of distributional data.

[BibT_eX]

[DOI]

CoRR, 2021

Incorporating Neighborhood Information During NMF Learning.

[BibT_eX]

[DOI]

Michel Kaddouh

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Subspace Guided Collaborative Clustering Based on Optimal Transport.

[BibT_eX]

[DOI]

Abdelfettah Touzani

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Collaborative Clustering Through Optimal Transport.

[BibT_eX]

[DOI]

Abdelfettah Touzani

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

A new sparse representation learning of complex data: Application to dynamic clustering of web navigation.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Impact of Learners' Quality and Diversity in Collaborative Clustering.

[BibT_eX]

[DOI]

J. Artif. Intell. Soft Comput. Res., 2019

Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering.

[BibT_eX]

[DOI]

Jérémie Sublime

Entropy, 2019

Deepness Analysis of Learned Factors in Multilayer NMF.

[BibT_eX]

[DOI]

Aust. J. Intell. Inf. Process. Syst., 2019

Multi-view Clustering through Optimal Transport.

[BibT_eX]

[DOI]

Aust. J. Intell. Inf. Process. Syst., 2019

Generative Histogram-Based Model Using Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Détection de changement dans les profils en ligne d'utilisateurs.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des connaissances, 2019

Apprentissage non-supervisé relationnel dans l'espace des coordonnées barycentriques.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des connaissances, 2019

2018

Learning Useful Representations Through Stacked Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Online Semi-supervised Growing Neural Gas for Multi-label Data Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Change Detection in Individual Users' Behavior.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Entropy based probabilistic collaborative clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Signal-based autonomous clustering for relational data.

[BibT_eX]

[DOI]

Ibtissame El Baghdadi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Improved sparse prototyping for relational K-means.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Automated topological co-clustering using fuzzy features partition.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A New Clustering Algorithm for Dynamic Data.

[BibT_eX]

[DOI]

Tong Zhang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

From horizontal to vertical collaborative clustering using generative topographic maps.

[BibT_eX]

[DOI]

Int. J. Hybrid Intell. Syst., 2015

Collaborative Clustering: How to Select the Optimal Collaborators?

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

VHR satellite image segmentation based on topological unsupervised learning.

[BibT_eX]

[DOI]

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

2014

Diversity analysis in collaborative clustering.

[BibT_eX]

[DOI]

Nistor Grozavu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

A new topological clustering algorithm for interval data.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud.

[BibT_eX]

[DOI]

Nistor Grozavu

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Enriched topological learning for cluster detection and visualization.

[BibT_eX]

[DOI]

Neural Networks, 2012

Change detection in data streams through unsupervised learning.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Coupling clustering and visualization for knowledge discovery from data.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Visualisation de l'intra et inter structure des groupes en classification non supervisée.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Apprendre les contraintes topologiques dans les cartes auto-organisatrices.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

Mining RFID Behavior Data using Unsupervised Learning.

[BibT_eX]

[DOI]

Int. J. Appl. Logist., 2010

Unsupervised Topographic Learning for Spatiotemporal Data Mining.

[BibT_eX]

[DOI]

Adv. Artif. Intell., 2010

Learning Topological Constraints in Self-Organizing Map.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing. Models and Applications, 2010

Comparaisons structurelles de grandes bases de données par apprentissage non-supervisé.

[BibT_eX]

[DOI]

Frédéric Dufau-Joël

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009

Modeling Ant Activity by Means of Structured HMMs.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

A HMM-Based Approach to Modeling Ant Behavior.

[BibT_eX]

Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

Comparing Large Datasets Structures through Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning.

[BibT_eX]

[DOI]

Frédéric Dufau-Joël

Proceedings of the International Conference on Machine Learning and Applications, 2009

Exploration de données de traçabilité issues de la RFID par apprentissage non-supervisé.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

2008

Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining.

[BibT_eX]

Proceedings of the RFID Technology - Concepts, Applications, Challenges, Proceedings of the 2nd International Workshop on RFID Technology, 2008

A local density-based simultaneous two-level algorithm for topographic clustering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

Un algorithme de classification topographique non supervisée à deux niveaux simultanés.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007

A simultaneous two-level clustering algorithm for automatic model selection.

[BibT_eX]

[DOI]