Cabanes, Guenaël

Associate Professor, Université de Lorraine (IUTNC)

Publications

2025

Journal

  1. Incremental clustering based on Wasserstein distance between histogram models. Xiaotong Qian, Guénaël Cabanes, Parisa Rastin, Mohamed Alae Guidani, Ghassen Marrakchi, Marianne Clausel, Nistor Grozavu. Pattern Recognition, Elsevier.

2024

Conference paper

  1. Incremental Multi-view Clustering using Barycentric Coordinate Representation. Xiaotong Qian, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu. In proceedings of 2024 International Joint Conference on Neural Networks (IJCNN 2024), Yokohama, Japan.
  2. Clustering Multi-Vues en utilisant la Représentation des Coordonnées Barycentriques. Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu. In proceedings of Extraction et Gestion des Connaissances, EGC 2024, Dijon, France.

2023

Conference paper

  1. Multi-view Clustering using Barycentric Coordinate Representation. Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu. In proceedings of 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia.

Other publications

  1. Deep Learning Approaches for Dynamic Mechanical Analysis of Viscoelastic Fiber Composites. Victor Hoffmann, Ilias Nahmed, Parisa Rastin, Guénaël Cabanes, Julien Boisse.
  2. An Innovative Framework for Static and Dynamic Clustering using Histogram Models and Wasserstein Distance over Sliding Windows. Xiaotong Qian, Guénaël Cabanes, Parisa Rastin, Mohamed Guidani, Ghassen Marrakchi, Marianne Clausel, Nistor Grozavu.

2021

Journal

  1. Unsupervised collaborative learning based on Optimal Transport theory. Fatima-Ezzahraa Ben-Bouazza, Younès Bennani, Guénaël Cabanes, Abdelfettah Touzani. Journal of Intelligent Systems, Walter de Gruyter.

Conference paper

  1. Incorporating Neighborhood Information During NMF Learning. Michel Kaddouh, Guénaël Cabanes, Younès Bennani. In proceedings of ICONIP 2021, Bali, Indonesia.

2020

Conference paper

  1. Collaborative Clustering through Optimal Transport. Fatima Ezzahraa Ben Bouazza, Younès Bennani, Guénaël Cabanes, Abdelfettah Touzani. In proceedings of 29th International Conference on Artificial Neural Networks (ICANN 2020), Bratislava, on line, Slovakia. Igor Farkaš, Paolo Masulli, Stefan Wermter (eds). 2020.

  2. Subspace Guided Collaborative Clustering Based on Optimal Transport. Fatima-Ezzahraa Ben-Bouazza, Younès Bennani, Abdelfettah Touzani, Guénaël Cabanes. In proceedings of International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), Online, France.

2019

Journal

  1. A new sparse representation learning of complex data: Application to dynamic clustering of web navigation. Parisa Rastin, Guénaël Cabanes, Basarab Matei, Younès Bennani, Jean-Marc Marty. Pattern Recognition, Elsevier.
  2. Impact of Learners’ Quality and Diversity in Collaborative Clustering. Parisa Rastin, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani. Journal of Artificial Intelligence and Soft Computing Research.
  3. Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering. Jérémie Sublime, Guénaël Cabanes, Basarab Matei. Entropy, MDPI.

Conference paper

  1. Multi-view Clustering through Optimal Transport. Fatima-Ezzahraa Ben-Bouazza, Younès Bennani, Mourad El Hamri, Guénaël Cabanes, Basarab Matei, Abdelfettah Touzani. In proceedings of ICONIP 2019, Sydney, Australia.
  2. Deepness Analysis of Learned Factors in Multilayer NMF. Ibtissam Brahmi, Guénaël Cabanes, Younès Bennani, Abdelfettah Touzani. In proceedings of ICONIP, Sydney, Australia.
  3. Generative Histogram-Based Model Using Unsupervised Learning. Parisa Rastin, Guénaël Cabanes, Rosanna Verde, Younès Bennani, Thierry Couronne. In proceedings of ICONIP 2019, Sydney (Australia), Australia.

2018

Journal

  1. Quantitative Matching of Clutch Size in Reciprocating Hermaphroditic Worms. Laura Picchi, Claire Ricci-Bonot, María Cristina Lorenzi, Guénaël Cabanes. Current Biology, Elsevier.

Conference paper

  1. Online Semi-supervised Growing Neural Gas for Multi-label Data Classification. Samira Boulbazine, Guénaël Cabanes, Basarab Matei, Younes Bennani. In proceedings of 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, France.
  2. Learning Useful Representations Through Stacked Self-Organizing Maps. Ibtissam Brahmi, Guénaël Cabanes, Younès Bennani, Basarab Matei. In proceedings of 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil.
  3. Dynamic topological clustering of distributional data. Guénaël Cabanes, Rosanna Verde, Younès Bennani. In proceedings of XIII International Symposium on Mathematical Methods Applied to the Sciences (XXI SIMMAC), San José, Costa Rica.

2017

Journal

  1. Semi-Supervised Multi-Label Classification Through Topological Active Learning. Assia Benyettou, Younès Bennani, Abdelkader Benyettou, Abderrahmane Bendahmane, Guénaël Cabanes. International Journal on Communications Antenna and Propagation, Praise Worthy Prize.
  2. Social networks dynamics revealed by temporal analysis: An example in a non‐human primate ( Macaca sylvanus ) in “La Forêt des Singes”. Sebastian Sosa, Peng Zhang, Guénaël Cabanes. American Journal of Primatology, Wiley.
  3. Entropy Based Probabilistic Collaborative Clustering. Jérémie Sublime, Matei Basarab, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols. Pattern Recognition, Elsevier.

Conference paper

  1. Signal-based autonomous clustering for relational data. Parisa Rastin, Basarab Matei, Guénaël Cabanes, Ibtissame El Baghdadi. In proceedings of 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, United States.

2016

Journal

  1. Anarchy Is a Molecular Signature of Worker Sterility in the Honey Bee. Isobel Ronai, Benjamin Oldroyd, Deborah Barton, Guénaël Cabanes, Julianne Lim, Vanina Vergoz. Molecular Biology and Evolution, Oxford University Press (OUP).
  2. From Horizontal to Vertical Collaborative Clustering using Generative Topographic Maps. Jérémie Sublime, Nistor Grozavu, Guénaël Cabanes, Younès Bennani, Antoine Cornuéjols. International Journal of Hybrid Intelligent Systems.
  3. An optimal baseline selection methodology for data-driven damage detection and temperature compensation in acousto-ultrasonics. M-A Torres-Arredondo, Julián Sierra-Pérez, Guénaël Cabanes. Smart Materials and Structures, IOP Publishing.

Conference paper

  1. A two-level clustering for histogram data. Guénaël Cabanes, Younès Bennani, Antonio Irpino, Rosanna Verde. In proceedings of International Workshop on High Dimensional Data Mining, Naples, Italy.
  2. Improved sparse prototyping for relational K-means. Safouane Cherki, Parisa Rastin, Guénaël Cabanes, Matei Basarab. In proceedings of IEEE Symposium on Computational Intelligence and Data Mining (CIDM’16), Athens, Greece.
  3. Automated topological co-clustering using fuzzy features partition. Nistor Grozavu, Guénaël Cabanes, Hatim Chahdi, Nicoleta Rogovschi. In proceedings of 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada.
  4. A New Clustering Algorithm for Dynamic Data. Parisa Rastin, Tong Zhang, Guénaêl Cabanes. In proceedings of International Conference on Neural Information Processing (ICONIP’16), Kyoto, Japan.
  5. Collaborative learning using topographic maps. Jérémie Sublime, Nistor Grozavu, Guénaêl Cabanes, Younes Bennani, Antoine Cornuéjols. In proceedings of AAFD and SFC’16 Conférence Internationale Francophone “Science des données. Défis Mathématiques et algorithmiques”, Marrakech, Morocco.

2015

Journal

  1. Ants build transportation networks that optimize cost and efficiency at the expense of robustness. Guénaël Cabanes, Ellen van Wilgenburg, Madeleine Beekman, Tanya Latty. Behavioral Ecology, Oxford University Press.

Conference paper

  1. A topological clustering method for histogram data. Guénaël Cabanes, Younès Bennani, Rosanna Verde, Antonio Irpino. In proceedings of Workshop on Symbolic Data Analysis (SDA), Orléans, France.
  2. VHR satellite image segmentation based on topological unsupervised learning. Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gancarski. In proceedings of IAPR International Conference on Machine Vision Applications (MVA), Tokyo, France.
  3. Collaborative Clustering: How to Select the Optimal Collaborators?. Parisa Rastin, Guénaël Cabanes, Nistor Grozavu, Younès Bennani. In proceedings of 2015 IEEE Symposium Series on Computational Intelligence (SSCI), Cape Town, South Africa.
  4. Structural Health Monitoring by Means of Strain Field Pattern Recognition on the basis of PCA and Automatic Clustering Techniques Based on SOM. Julián Sierra-Pérez, Miguel Torres-Arredondo, Guénaël Cabanes, Alfredo Güeme, Luis Mujica. In proceedings of IFAC Symposium on System Identification, Pékin, China. Yanlong Zhao (eds). 2015.

2014

Book chapter

  1. Développement social et variabilité inter-sexe : dynamique développementale des différences sexuées entre 2 et 6 ans. Stéphanie Barbu, Guénaël Cabanes, Gaïd Le Maner-Idrissi. S Le Sourn-Bissaoui, G Le Maner-Idrissi, V Dardier, E Bonjour, A Lacroix (ed) (eds). 2014.

Conference paper

  1. Diversity analysis in collaborative clustering. Nistor Grozavu, Guénaël Cabanes, Younès Bennani. In proceedings of 2014 International Joint Conference on Neural Networks (IJCNN), Beijing, China.

  2. Damage Detection in Metallic Beams from Dynamic Strain Measurements under Different Load Cases by Using Automatic Clustering and Pattern Recognition Techniques. Julian Sierra-Pérez, Miguel Angel Torres-Arredondo, Guénaël Cabanes, Alfredo Güemes, Luis Eduardo Mujica, Claus-Peter Fritzen. In proceedings of EWSHM - 7th European Workshop on Structural Health Monitoring, Nantes, France. Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck (eds). 2014.

  3. A Pattern Recognition Approach for Damage Detection and Temperature Compensation in Acousto-Ultrasonics. Miguel Angel Torres Arredondo, Julián Sierra-Pérez, Erion Zenuni, Guénaël Cabanes, José Rodellar, Alfredo Güemes, Claus-Peter Fritzen. In proceedings of EWSHM - 7th European Workshop on Structural Health Monitoring, Nantes, France. Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck (eds). 2014.

2013

Journal

  1. A new topological clustering algorithm for interval data. Guénaël Cabanes, Younès Bennani, Renaud Destenay, André Hardy. Pattern Recognition, Elsevier.

Conference paper

  1. Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud. Guénaël Cabanes, Younès Bennani, Nistor Grozavu. In proceedings of IEEE International Conference on Data Mining, Dallas, TX, United States.

2012

Journal

  1. Enriched topological learning for cluster detection and visualization. Guénaël Cabanes, Younès Bennani, Dominique Fresneau. Neural Networks, Elsevier.
  2. Effects of natural mating and CO 2 narcosis on biogenic amine receptor gene expression in the ovaries and brain of queen honey bees, Apis mellifera. Vanina Vergoz, Julianne Lim, Michael Duncan, Guénaël Cabanes, Benjamin Oldroyd. Insect Molecular Biology, Wiley.

Conference paper

  1. Change detection in data streams through unsupervised learning. Guénaël Cabanes, Younès Bennani. In proceedings of International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.

2011

Journal

  1. Boys and girls on the playground: sex differences in social development are not stable across early childhood. Stéphanie Barbu, Guénaël Cabanes, Gaïd Le Maner-Idrissi. PLoS ONE, Public Library of Science.

Conference paper

  1. Développement social et variabilité inter-sexe : dynamique développementale des différences sexuées entre 2 et 6 ans. Stéphanie Barbu, Guénaël Cabanes, Gaïd Le Maner-Idrissi. In proceedings of Colloque RIPSYDEVE, ‘Développement et variabilités, réseau de Psychologie du développement et de l’éducation’, Rennes, France.
  2. Coupling clustering and visualization for knowledge discovery from data. Guénaël Cabanes, Younès Bennani. In proceedings of International Joint Conference on Neural Networks (IJCNN), San Jose, United States.
  3. A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining. Guénaël Cabanes, Younès Bennani, Dominique Fresneau. In proceedings of International Conference on Neural Information Processing (ICONIP), Shanghai, China.

2010

Journal

  1. Unsupervised Topographic Learning for Spatiotemporal Data Mining. Guénaël Cabanes, Younès Bennani. Advances in Artificial Intelligence.
  2. Mining RFID Behavior Data using Unsupervised Learning. Guénaël Cabanes, Younès Bennani, Dominique Fresneau. International Journal of Applied Logistics, IGI Global.

Conference paper

  1. Learning Topological Constraints in Self-Organizing Map. Guénaël Cabanes, Younès Bennani. In proceedings of International Conference on Neural Information Processing (ICONIP), Sydney, Australia.
  2. Extending SOM with Efficient Estimation of the Number of Clusters. Guénaël Cabanes, Younès Bennani. In proceedings of Joint Meeting GfKl-CLADAG, Florence, Italy.

2009

Journal

  1. Modeling Evolving Behaviors in Ant Colonies. Ugo Galassi, Guénaël Cabanes, Dominique Fresneau. International Journal of Intelligent Systems, Wiley.

Conference paper

  1. Sex differences in social play: developmental trends in early childhood. Stéphanie Barbu, Alban Lemasson, Gaïd Le Maner-Idrissi, Guénaël Cabanes. In proceedings of Behavior 2009 - 31st International Ethological Conference, Rennes, France.
  2. Comparing Large Datasets Structures through Unsupervised Learning. Guénaël Cabanes, Younès Bennani. In proceedings of International Conference on Neural Information Processing (ICONIP), Bangkok, Thailand.
  3. Mining Customers’ Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning. Guénaël Cabanes, Younès Bennani, Frédéric Dufau-Joël. In proceedings of International Conference on Machine Learning and Applications (ICMLA), Miami, United States.
  4. Modeling Ant Activity by Means of Structured HMMs. Guénaël Cabanes, Dominique Fresnau, Ugo Galassi, Attilio Giordana. In proceedings of International Symposium on Methodologies for Intelligent Systems (ISMIS), Prague, Czechia.
  5. A HMM-Based Approach to Modeling Ant Behavior. Guénaël Cabanes, Dominique Fresneau, Ugo Galassi, Attilio Giordana. In proceedings of International Indian Conference on Artificial Intelligence (IICAI), Tumkur, India.

2008

Journal

  1. Selection of social traits in juvenile Japanese quail affects adults’ behaviour. Laureline Formanek, Cécilia Houdelier, Sophie Lumineau, Aline Bertin, Guénaël Cabanes, Marie-Annick Richard-Yris. Applied Animal Behaviour Science, Elsevier.

Conference paper

  1. A local density-based simultaneous two-level algorithm for topographic clustering. Guénaël Cabanes, Younès Bennani. In proceedings of IEEE International Joint Conference on Neural Networks (IJCNN), Hong Kong, China.
  2. Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining. Guénaël Cabanes, Younès Bennani, Claire Chartagnat, Dominique Fresneau. In proceedings of International Workshop on RFID Technology (IWRT), Barcelona, Spain.

2007

Conference paper

  1. A simultaneous two-level clustering algorithm for automatic model selection. Guénaël Cabanes, Younès Bennani. In proceedings of International Conference on Machine Learning and Applications (ICMLA), Cincinnati, United States.
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