Guénaël Cabanes

Orcid: 0000-0002-8225-7242

According to our database1, Guénaël Cabanes authored at least 48 papers between 2007 and 2023.

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

Timeline

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Bibliography

2023
Deep Learning Approaches for Dynamic Mechanical Analysis of Viscoelastic Fiber Composites.
CoRR, 2023

Multi-view Clustering using Barycentric Coordinate Representation.
Proceedings of the International Joint Conference on Neural Networks, 2023

2021
Unsupervised collaborative learning based on Optimal Transport theory.
J. Intell. Syst., 2021

On the use of Wasserstein metric in topological clustering of distributional data.
CoRR, 2021

Incorporating Neighborhood Information During NMF Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Subspace Guided Collaborative Clustering Based on Optimal Transport.
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Collaborative Clustering Through Optimal Transport.
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.
Pattern Recognit., 2019

Impact of Learners' Quality and Diversity in Collaborative Clustering.
J. Artif. Intell. Soft Comput. Res., 2019

Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering.
Entropy, 2019

Deepness Analysis of Learned Factors in Multilayer NMF.
Aust. J. Intell. Inf. Process. Syst., 2019

Multi-view Clustering through Optimal Transport.
Aust. J. Intell. Inf. Process. Syst., 2019

Generative Histogram-Based Model Using Unsupervised Learning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Détection de changement dans les profils en ligne d'utilisateurs.
Proceedings of the Extraction et Gestion des connaissances, 2019

Apprentissage non-supervisé relationnel dans l'espace des coordonnées barycentriques.
Proceedings of the Extraction et Gestion des connaissances, 2019

2018
Learning Useful Representations Through Stacked Self-Organizing Maps.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Online Semi-supervised Growing Neural Gas for Multi-label Data Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Change Detection in Individual Users' Behavior.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Entropy based probabilistic collaborative clustering.
Pattern Recognit., 2017

Signal-based autonomous clustering for relational data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Improved sparse prototyping for relational K-means.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Automated topological co-clustering using fuzzy features partition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A New Clustering Algorithm for Dynamic Data.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
From horizontal to vertical collaborative clustering using generative topographic maps.
Int. J. Hybrid Intell. Syst., 2015

Collaborative Clustering: How to Select the Optimal Collaborators?
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

VHR satellite image segmentation based on topological unsupervised learning.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

2014
Diversity analysis in collaborative clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
A new topological clustering algorithm for interval data.
Pattern Recognit., 2013

Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Enriched topological learning for cluster detection and visualization.
Neural Networks, 2012

Change detection in data streams through unsupervised learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Coupling clustering and visualization for knowledge discovery from data.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Visualisation de l'intra et inter structure des groupes en classification non supervisée.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Apprendre les contraintes topologiques dans les cartes auto-organisatrices.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010
Mining RFID Behavior Data using Unsupervised Learning.
Int. J. Appl. Logist., 2010

Unsupervised Topographic Learning for Spatiotemporal Data Mining.
Adv. Artif. Intell., 2010

Learning Topological Constraints in Self-Organizing Map.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Comparaisons structurelles de grandes bases de données par apprentissage non-supervisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009
Modeling Ant Activity by Means of Structured HMMs.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

A HMM-Based Approach to Modeling Ant Behavior.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

Comparing Large Datasets Structures through Unsupervised Learning.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Exploration de données de traçabilité issues de la RFID par apprentissage non-supervisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

2008
Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining.
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.
Proceedings of the International Joint Conference on Neural Networks, 2008

Un algorithme de classification topographique non supervisée à deux niveaux simultanés.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007
A simultaneous two-level clustering algorithm for automatic model selection.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007


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