Bruno Canitia

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 17

Top Topics

Hierarchical Text Categorization

Anomaly Detection

Top Venues

Publications

Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
Topic modeling neuronal non-paramétrique pour l'extraction d'insight client : une application à l'industrie du pneumatique. EGC (2023)
Vivien Kraus, Khalid Benabdeslem, Seif-Eddine Benkabou, Dou El Kefel Mansouri, Bruno Canitia
RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression. ICTAI (2023)
Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
Nonparametric neural topic modeling for customer insight extraction about the tire industry. IJCNN (2022)
Thomas Ranvier, Kilian Bourhis, Khalid Benabdeslem, Bruno Canitia
Deep Multi-View Learning for Tire Recommendation. CoRR (2022)
Seif-Eddine Benkabou, Khalid Benabdeslem, Vivien Kraus, Kilian Bourhis, Bruno Canitia
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
Processus de Dirichlet profonds pour le topic modeling. EGC (2022)
Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
Neural Embedded Dirichlet Processes for Topic Modeling. MDAI (2021)
Thomas Ranvier, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia
Apprentissage multi-vues pour la recommandation dans le domaine du pneumatique. EGC (2021)
Thomas Ranvier, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia
Deep Multi-View Learning for Tire Recommendation. IJCNN (2021)
Vivien Kraus, Khalid Benabdeslem, Bruno Canitia
Laplacian-based Semi-supervised Multi-Label Regression. IJCNN (2020)
Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia
Étude comparative pour l'analyse de requêtes complexes dans le domaine du pneumatique. EGC (2020)
Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia
Data augmentation process to improve deep learning-based NER task in the automotive industry field. IJCNN (2020)
Assaad Kenaan, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia
Approches hybrides pour la recommandation dans le domaine du pneumatique. EGC (2020)
Kilian Bourhis, Khalid Benabdeslem, Bruno Canitia
Entre factorisation de matrices et apprentissage profond pour la recommandation dans le domaine du pneumatique. EGC (2019)
Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia
Unsupervised outlier detection for time series by entropy and dynamic time warping. Knowl. Inf. Syst. 54 (2) (2018)
Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia
ℓ2-type regularization-based unsupervised anomaly detection from temporal data. IJCNN (2017)
Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia
Local-to-Global Unsupervised Anomaly Detection from Temporal Data. PAKDD (1) (2017)
Anouar BenaHassena, Khalid Benabdeslem, Fazia Bellal, Alexandre Aussem, Bruno Canitia
Intégration de contraintes dans les cartes auto-organisatrices. EGC (2008)