Khalid Benabdeslem

Orcid: 0000-0002-4324-924X

According to our database1, Khalid Benabdeslem authored at least 67 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning.
CoRR, 2024

2023
CoSP: co-selection pick for a global explainability of black box machine learning models.
World Wide Web (WWW), November, 2023

Query-adaptive training data recommendation for cross-building predictive modeling.
Knowl. Inf. Syst., February, 2023

Targeting the Source: Selective Data Curation for Debiasing NLP Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Societal Versus Encoded Stereotypes in Text Encoders.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Accounting for Imputation Uncertainty During Neural Network Training.
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.
IEEE Trans. Neural Networks Learn. Syst., 2022

sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach.
IEEE Trans. Knowl. Data Eng., 2022

Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Iterative adversarial removal of gender bias in pretrained word embeddings.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022

Conceptual Similarity for Subjective Tags.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Autoencoder-Based Attribute Noise Handling Method for Medical Data.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Multi-view Self-attention for Regression Domain Adaptation with Feature Selection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Masked Language Models as Stereotype Detectors?
Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021
An Extensible and Reusable Pipeline for Automated Utterance Paraphrases.
Proc. VLDB Endow., 2021

The Mode-Fisher pooling for time complexity optimization in deep convolutional neural networks.
Neural Comput. Appl., 2021

3-3FS: ensemble method for semi-supervised multi-label feature selection.
Knowl. Inf. Syst., 2021

Towards Multi-label Feature Selection by Instance and Label Selections.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Deep Multi-View Learning for Tire Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Automated Paraphrase Generation with Over-Generation and Pruning Services.
Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

Apprentissage multi-vues pour la recommandation dans le domaine du pneumatique.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Subjectivity Aware Conversational Search Services.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Laplacian-based Semi-supervised Multi-Label Regression.
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Generative Time Series Clustering Framework Based on an Ensemble Mixture of HMMs.
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.
Proceedings of the Extraction et Gestion des Connaissances, 2020

Approches hybrides pour la recommandation dans le domaine du pneumatique.
Proceedings of the Extraction et Gestion des Connaissances, 2020

2019
A Novel Proposed Pooling for Convolutional Neural Network.
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.
Proceedings of the Extraction et Gestion des connaissances, 2019

Reducing Traffic Congestion by LSTM-LOF Framework.
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.
Knowl. Inf. Syst., 2018

An Improved Laplacian Semi-Supervised Regression.
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.
Proceedings of the Extraction et Gestion des Connaissances, 2018

2017
Local-to-Global Unsupervised Anomaly Detection from Temporal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

ℓ2-type regularization-based unsupervised anomaly detection from temporal data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection.
Knowl. Inf. Syst., 2016

Soft-constrained Laplacian score for semi-supervised multi-label feature selection.
Knowl. Inf. Syst., 2016

Semi-supervised co-selection: Features and instances by a weighting approach.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Semi-Supervised Similarity Preserving Co-Selection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Weighting Based Approach for Semi-supervised Feature Selection.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Efficient Semi-Supervised Feature Selection: Constraint, Relevance, and Redundancy.
IEEE Trans. Knowl. Data Eng., 2014

Different Aspects of Clustering The Self-Organizing Maps.
Neural Process. Lett., 2014

2013
Bi-clustering continuous data with self-organizing map.
Neural Comput. Appl., 2013

Local-to-global semi-supervised feature selection.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2011
Constrained Laplacian Score for Semi-supervised Feature Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Constraint Selection for Semi-supervised Topological Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Constraint Selection-Based Semi-supervised Feature Selection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Graph Enrichment Based Clustering over Vertically Partitioned Data.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Visualization and clustering of categorical data with probabilistic self-organizing map.
Neural Comput. Appl., 2010

A Graph Based Framework for Clustering and Characterization of SOM.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Consensus clustering by graph based approach.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Une approche de co-classification automatique à base des cartes topologiques.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2010

2009
Towards B-Coloring of SOM.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A Probabilistic Approach for Constrained Clustering with Topological Map.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

McSOM: Minimal Coloring of Self-Organizing Map.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
Intégration de contraintes dans les cartes auto-organisatrices.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

SOM based clustering with instance-level constraints.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Classification sous contraintes probabilistes par les cartes topologiques.
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.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Constrained Graph b-Coloring Based Clustering Approach.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

2006
Dendogram-based SVM for Multi-Class Classification.
J. Comput. Inf. Technol., 2006

Descendant hierarchical support vector machine for multi-class problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

2002
Visualization and Analysis of Web Navigation Data.
Proceedings of the Artificial Neural Networks, 2002

2001
Connectionist Approach for Website Visitors Behaviors Mining.
Proceedings of the 2001 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2001), 2001


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