Bruno Canitia

According to our database, Bruno Canitia authored at least 17 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression.

Vivien Kraus, Khalid Benabdeslem, Seif-Eddine Benkabou, Dou El Kefel Mansouri, Bruno Canitia

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Topic modeling neuronal non-paramétrique pour l'extraction d'insight client : une application à l'industrie du pneumatique.

Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia

Proceedings of the Extraction et Gestion des Connaissances, 2023

2022

Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model.

Seif-Eddine Benkabou, Khalid Benabdeslem, Vivien Kraus, Kilian Bourhis, Bruno Canitia

IEEE Trans. Neural Networks Learn. Syst., 2022

Nonparametric neural topic modeling for customer insight extraction about the tire industry.

Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia

Proceedings of the International Joint Conference on Neural Networks, 2022

Processus de Dirichlet profonds pour le topic modeling.

Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia

Proceedings of the Extraction et Gestion des Connaissances, 2022

2021

Neural Embedded Dirichlet Processes for Topic Modeling.

Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Deep Multi-View Learning for Tire Recommendation.

Thomas Ranvier, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia

Proceedings of the International Joint Conference on Neural Networks, 2021

Apprentissage multi-vues pour la recommandation dans le domaine du pneumatique.

Thomas Ranvier, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia

Proceedings of the Extraction et Gestion des Connaissances, 2021

2020

Laplacian-based Semi-supervised Multi-Label Regression.

Vivien Kraus, Khalid Benabdeslem, Bruno Canitia

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Data augmentation process to improve deep learning-based NER task in the automotive industry field.

Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Étude comparative pour l'analyse de requêtes complexes dans le domaine du pneumatique.

Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia

Proceedings of the Extraction et Gestion des Connaissances, 2020

Approches hybrides pour la recommandation dans le domaine du pneumatique.

Assaad Kenaan, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Entre factorisation de matrices et apprentissage profond pour la recommandation dans le domaine du pneumatique.

Kilian Bourhis, Khalid Benabdeslem, Bruno Canitia

Proceedings of the Extraction et Gestion des connaissances, 2019

2018

Unsupervised outlier detection for time series by entropy and dynamic time warping.

Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia

Knowl. Inf. Syst., 2018

2017

Local-to-Global Unsupervised Anomaly Detection from Temporal Data.

Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

ℓ2-type regularization-based unsupervised anomaly detection from temporal data.

Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia

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

2008

Intégration de contraintes dans les cartes auto-organisatrices.

Anouar BenaHassena, Khalid Benabdeslem, Fazia Bellal, Alexandre Aussem, Bruno Canitia

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