Khalid Benabdeslem

IEEE Trans. Neural Networks Learn. Syst., July, 2024

PAC-Bayesian Domain Adaptation Bounds for Multi-view learning.

[BibT_eX]

[DOI]

Mehdi Hennequin

CoRR, 2024

iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Error Types in Transformer-Based Paraphrasing Models: A Taxonomy, Paraphrase Annotation Model and Dataset.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

CoSP: co-selection pick for a global explainability of black box machine learning models.

[BibT_eX]

[DOI]

Catarina Ferreira da Silva

World Wide Web (WWW), November, 2023

Query-adaptive training data recommendation for cross-building predictive modeling.

[BibT_eX]

[DOI]

Mouna Labiadh

Christian Obrecht

Parisa Ghodous

Knowl. Inf. Syst., February, 2023

Targeting the Source: Selective Data Curation for Debiasing NLP Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

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

[BibT_eX]

[DOI]

Vivien Kraus

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

Societal Versus Encoded Stereotypes in Text Encoders.

[BibT_eX]

[DOI]

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

Accounting for Imputation Uncertainty During Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models.

[BibT_eX]

[DOI]

Souleyman Chaib

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Iterative adversarial removal of gender bias in pretrained word embeddings.

[BibT_eX]

[DOI]

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Adversarial Multi - View Domain Adaptation for Regression.

[BibT_eX]

[DOI]

Mehdi Hennequin

Mohammad-ali Yaghub Zade Fard

Proceedings of the International Joint Conference on Neural Networks, 2022

Conceptual Similarity for Subjective Tags.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Autoencoder-Based Attribute Noise Handling Method for Medical Data.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Multi-view Self-attention for Regression Domain Adaptation with Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Masked Language Models as Stereotype Detectors?

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021

An Extensible and Reusable Pipeline for Automated Utterance Paraphrases.

[BibT_eX]

[DOI]

Auday Berro

Marcos Báez

Boualem Benatallah

Proc. VLDB Endow., 2021

The Mode-Fisher pooling for time complexity optimization in deep convolutional neural networks.

[BibT_eX]

[DOI]

Bachir Kaddar

Neural Comput. Appl., 2021

3-3FS: ensemble method for semi-supervised multi-label feature selection.

[BibT_eX]

[DOI]

Abdelouahid Alalga

Knowl. Inf. Syst., 2021

Towards Multi-label Feature Selection by Instance and Label Selections.

[BibT_eX]

[DOI]

Mohammad-ali Yaghub Zade Fard

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Deep Multi-View Learning for Tire Recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Automated Paraphrase Generation with Over-Generation and Pruning Services.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2021

Subjectivity Aware Conversational Search Services.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

Laplacian-based Semi-supervised Multi-Label Regression.

[BibT_eX]

[DOI]

Vivien Kraus

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.

[BibT_eX]

[DOI]

Abdenacer Keraghel

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

A Generative Time Series Clustering Framework Based on an Ensemble Mixture of HMMs.

[BibT_eX]

[DOI]

Mohamad Kanaan

Hamamache Kheddouci

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

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

[BibT_eX]

[DOI]

Abdenacer Keraghel

Proceedings of the Extraction et Gestion des Connaissances, 2020

Approches hybrides pour la recommandation dans le domaine du pneumatique.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

A Novel Proposed Pooling for Convolutional Neural Network.

[BibT_eX]

[DOI]

Bachir Kaddar

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

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

[BibT_eX]

[DOI]

Kilian Bourhis

Proceedings of the Extraction et Gestion des connaissances, 2019

Reducing Traffic Congestion by LSTM-LOF Framework.

[BibT_eX]

[DOI]

Bachir Kaddar

Josep Lluís Larriba-Pey

Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2018

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

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

An Improved Laplacian Semi-Supervised Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Régression Laplacienne semi-supervisée pour la reconstitution des dates de pose des réseaux d'assainissement.

[BibT_eX]

[DOI]

Vivien Kraus

Frédéric Cherqui

Proceedings of the Extraction et Gestion des Connaissances, 2018

2017

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2016

Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Soft-constrained Laplacian score for semi-supervised multi-label feature selection.

[BibT_eX]

[DOI]

Abdelouahid Alalga

Nora Taleb

Knowl. Inf. Syst., 2016

Semi-supervised co-selection: Features and instances by a weighting approach.

[BibT_eX]

[DOI]

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

Semi-Supervised Similarity Preserving Co-Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Weighting Based Approach for Semi-supervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Efficient Semi-Supervised Feature Selection: Constraint, Relevance, and Redundancy.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Different Aspects of Clustering The Self-Organizing Maps.

[BibT_eX]

[DOI]

Neural Process. Lett., 2014

2013

Bi-clustering continuous data with self-organizing map.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Local-to-global semi-supervised feature selection.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2011

Constrained Laplacian Score for Semi-supervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Constraint Selection for Semi-supervised Topological Clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Constraint Selection-Based Semi-supervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Graph Enrichment Based Clustering over Vertically Partitioned Data.

[BibT_eX]

[DOI]

Brice Effantin

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Visualization and clustering of categorical data with probabilistic self-organizing map.

[BibT_eX]

[DOI]

Mustapha Lebbah

Neural Comput. Appl., 2010

A Graph Based Framework for Clustering and Characterization of SOM.

[BibT_eX]

[DOI]

Rakia Jaziri

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Consensus clustering by graph based approach.

[BibT_eX]

[DOI]

Fatma Hamdi

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Une approche de co-classification automatique à base des cartes topologiques.

[BibT_eX]

[DOI]

Alexandre Aussem

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2010

2009

Towards B-Coloring of SOM.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Probabilistic Approach for Constrained Clustering with Topological Map.

[BibT_eX]

[DOI]

Jihène Snoussi

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

McSOM: Minimal Coloring of Self-Organizing Map.

[BibT_eX]

[DOI]

Hamamache Kheddouci

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Intégration de contraintes dans les cartes auto-organisatrices.

[BibT_eX]

[DOI]

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

SOM based clustering with instance-level constraints.

[BibT_eX]

[DOI]

Fazia Bellal

Alexandre Aussem

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Classification sous contraintes probabilistes par les cartes topologiques.

[BibT_eX]

[DOI]

Jihène Snoussi

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2008

2007

Approche connexionniste pour l'extraction de profils cas-témoins du cancer du Nasopharynx à partir des données issues d'une étude épidémiologique.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Constrained Graph b-Coloring Based Clustering Approach.

[BibT_eX]

[DOI]

Alain Dussauchoy

Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

2006

Dendogram-based SVM for Multi-Class Classification.

[BibT_eX]

[DOI]

Younès Bennani

J. Comput. Inf. Technol., 2006

Descendant hierarchical support vector machine for multi-class problems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

2002

Visualization and Analysis of Web Navigation Data.

[BibT_eX]

[DOI]

Younès Bennani

Eric Janvier

Proceedings of the Artificial Neural Networks, 2002

2001

Connectionist Approach for Website Visitors Behaviors Mining.

[BibT_eX]

[DOI]