Connectionist Approach for Website Visitors Behaviors Mining. - Khalid Benabdeslem; Younès Bennani; Eric Janvier (AICCSA, 2001)

Visualization and Analysis of Web Navigation Data. - Khalid Benabdeslem; Younès Bennani; Eric Janvier (ICANN, 2002)

Descendant hierarchical support vector machine for multi-class problems. - Khalid Benabdeslem (IJCNN, 2006)

Dendogram-based SVM for Multi-Class Classification. - Khalid Benabdeslem; Younès Bennani (J. Comput. Inf. Technol., 2006)

Constrained Graph b-Coloring Based Clustering Approach. - Haytham Elghazel; Khalid Benabdeslem; Alain Dussauchoy (DaWaK, 2007)

Approche connexionniste pour l'extraction de profils cas-témoins du cancer du Nasopharynx à partir des données issues d'une étude épidémiologique. - Khalid Benabdeslem; Mustapha Lebbah; Alexandre Aussem; Marilys Corbex (EGC, 2007)

Classification sous contraintes probabilistes par les cartes topologiques. - Jihène Snoussi; Khalid Benabdeslem (AAFD, 2008)

SOM based clustering with instance-level constraints. - Fazia Bellal; Khalid Benabdeslem; Alexandre Aussem (ESANN, 2008)

Intégration de contraintes dans les cartes auto-organisatrices. - Anouar BenaHassena; Khalid Benabdeslem; Fazia Bellal; Alexandre Aussem; Bruno Canitia (EGC, 2008)

McSOM: Minimal Coloring of Self-Organizing Map. - Haytham Elghazel; Khalid Benabdeslem; Hamamache Kheddouci (ADMA, 2009)

A Probabilistic Approach for Constrained Clustering with Topological Map. - Khalid Benabdeslem; Jihène Snoussi (MLDM, 2009)

Towards B-Coloring of SOM. - Haytham Elghazel; Khalid Benabdeslem (MLDM, 2009)

Une approche de co-classification automatique à base des cartes topologiques. - Kais Allab; Khalid Benabdeslem; Alexandre Aussem (AAFD, 2010)

Consensus clustering by graph based approach. - Haytham Elghazel; Khalid Benabdeslem; Fatma Hamdi (ESANN, 2010)

A Graph Based Framework for Clustering and Characterization of SOM. - Rakia Jaziri; Khalid Benabdeslem; Haytham Elghazel (ICANN (3), 2010)

Visualization and clustering of categorical data with probabilistic self-organizing map. - Mustapha Lebbah; Khalid Benabdeslem (Neural Comput. Appl., 2010)

A Graph Enrichment Based Clustering over Vertically Partitioned Data. - Khalid Benabdeslem; Brice Effantin; Haytham Elghazel (ADMA (1), 2011)

Constraint Selection-Based Semi-supervised Feature Selection. - Mohammed M. Al-Hindawi; Kais Allab; Khalid Benabdeslem (ICDM, 2011)

Constraint Selection for Semi-supervised Topological Clustering. - Kais Allab; Khalid Benabdeslem (ECML/PKDD (1), 2011)

Constrained Laplacian Score for Semi-supervised Feature Selection. - Khalid Benabdeslem; Mohammed M. Al-Hindawi (ECML/PKDD (1), 2011)

Local-to-global semi-supervised feature selection. - Mohammed M. Al-Hindawi; Khalid Benabdeslem (CIKM, 2013)

Bi-clustering continuous data with self-organizing map. - Khalid Benabdeslem; Kais Allab (Neural Comput. Appl., 2013)

Different Aspects of Clustering The Self-Organizing Maps. - Haytham Elghazel; Khalid Benabdeslem (Neural Process. Lett., 2014)

Efficient Semi-Supervised Feature Selection: Constraint, Relevance, and Redundancy. - Khalid Benabdeslem; Mohammed M. Al-Hindawi (IEEE Trans. Knowl. Data Eng., 2014)

Weighting Based Approach for Semi-supervised Feature Selection. - Khalid Benabdeslem; Mohammed M. Al-Hindawi; Raywat Makkhongkaew (ICONIP (4), 2015)

Semi-Supervised Similarity Preserving Co-Selection. - Raywat Makkhongkaew; Khalid Benabdeslem (ICDM Workshops, 2016)

Semi-supervised co-selection: Features and instances by a weighting approach. - Raywat Makkhongkaew; Khalid Benabdeslem; Haytham Elghazel (IJCNN, 2016)

Soft-constrained Laplacian score for semi-supervised multi-label feature selection. - Abdelouahid Alalga; Khalid Benabdeslem; Nora Taleb (Knowl. Inf. Syst., 2016)

Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection. - Khalid Benabdeslem; Haytham Elghazel; Mohammed M. Al-Hindawi (Knowl. Inf. Syst., 2016)

ℓ2-type regularization-based unsupervised anomaly detection from temporal data. - Seif-Eddine Benkabou; Khalid Benabdeslem; Bruno Canitia (IJCNN, 2017)

Local-to-Global Unsupervised Anomaly Detection from Temporal Data. - Seif-Eddine Benkabou; Khalid Benabdeslem; Bruno Canitia (PAKDD (1), 2017)

Régression Laplacienne semi-supervisée pour la reconstitution des dates de pose des réseaux d'assainissement. - Vivien Kraus; Khalid Benabdeslem; Frédéric Cherqui (EGC, 2018)

An Improved Laplacian Semi-Supervised Regression. - Vivien Kraus; Seif-Eddine Benkabou; Khalid Benabdeslem; Frédéric Cherqui (ICTAI, 2018)

Unsupervised outlier detection for time series by entropy and dynamic time warping. - Seif-Eddine Benkabou; Khalid Benabdeslem; Bruno Canitia (Knowl. Inf. Syst., 2018)

Reducing Traffic Congestion by LSTM-LOF Framework. - Dou El Kefel Mansouri; Seif-Eddine Benkabou; Bachir Kaddar; Josep Lluís Larriba-Pey; Khalid Benabdeslem (AICCSA, 2019)

Entre factorisation de matrices et apprentissage profond pour la recommandation dans le domaine du pneumatique. - Kilian Bourhis; Khalid Benabdeslem; Bruno Canitia (EGC, 2019)

A Novel Proposed Pooling for Convolutional Neural Network. - Dou El Kefel Mansouri; Seif-Eddine Benkabou; Bachir Kaddar; Khalid Benabdeslem (ICTAI, 2019)

Approches hybrides pour la recommandation dans le domaine du pneumatique. - Assaad Kenaan; Khalid Benabdeslem; Kilian Bourhis; Bruno Canitia (EGC, 2020)

Étude comparative pour l'analyse de requêtes complexes dans le domaine du pneumatique. - Abdenacer Keraghel; Khalid Benabdeslem; Bruno Canitia (EGC, 2020)

A Generative Time Series Clustering Framework Based on an Ensemble Mixture of HMMs. - Mohamad Kanaan; Khalid Benabdeslem; Hamamache Kheddouci (ICTAI, 2020)

Data augmentation process to improve deep learning-based NER task in the automotive industry field. - Abdenacer Keraghel; Khalid Benabdeslem; Bruno Canitia (IJCNN, 2020)

Laplacian-based Semi-supervised Multi-Label Regression. - Vivien Kraus; Khalid Benabdeslem; Bruno Canitia (IJCNN, 2020)

Subjectivity Aware Conversational Search Services. - Yacine Gaci; Jorge Ramírez; Boualem Benatallah; Fabio Casati; Khalid Benabdeslem (EDBT, 2021)

Apprentissage multi-vues pour la recommandation dans le domaine du pneumatique. - Thomas Ranvier; Khalid Benabdeslem; Kilian Bourhis; Bruno Canitia (EGC, 2021)

Automated Paraphrase Generation with Over-Generation and Pruning Services. - Auday Berro; Marcos Báez; Boualem Benatallah; Khalid Benabdeslem; Mohammad-ali Yaghub Zade Fard (ICSOC, 2021)

Deep Multi-View Learning for Tire Recommendation. - Thomas Ranvier; Khalid Benabdeslem; Kilian Bourhis; Bruno Canitia (IJCNN, 2021)

Towards Multi-label Feature Selection by Instance and Label Selections. - Dou El Kefel Mansouri; Khalid Benabdeslem (PAKDD (2), 2021)

3-3FS: ensemble method for semi-supervised multi-label feature selection. - Abdelouahid Alalga; Khalid Benabdeslem; Dou El Kefel Mansouri (Knowl. Inf. Syst., 2021)

The Mode-Fisher pooling for time complexity optimization in deep convolutional neural networks. - Dou El Kefel Mansouri; Bachir Kaddar; Seif-Eddine Benkabou; Khalid Benabdeslem (Neural Comput. Appl., 2021)

An Extensible and Reusable Pipeline for Automated Utterance Paraphrases. - Auday Berro; Mohammad-ali Yaghub Zade Fard; Marcos Báez; Boualem Benatallah; Khalid Benabdeslem (Proc. VLDB Endow., 2021)

Masked Language Models as Stereotype Detectors? - Yacine Gaci; Boualem Benatallah; Fabio Casati; Khalid Benabdeslem (EDBT, 2022)

Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention. - Yacine Gaci; Boualem Benatallah; Fabio Casati; Khalid Benabdeslem (EMNLP, 2022)

Multi-view Self-attention for Regression Domain Adaptation with Feature Selection. - Mehdi Hennequin; Khalid Benabdeslem; Haytham Elghazel; Thomas Ranvier; Eric Michoux (ICONIP (1), 2022)

Autoencoder-Based Attribute Noise Handling Method for Medical Data. - Thomas Ranvier; Haytham Elghazel; Emmanuel Coquery; Khalid Benabdeslem (ICONIP (6), 2022)

Conceptual Similarity for Subjective Tags. - Yacine Gaci; Boualem Benatallah; Fabio Casati; Khalid Benabdeslem (AACL/IJCNLP (Findings), 2022)

Adversarial Multi - View Domain Adaptation for Regression. - Mehdi Hennequin; Khalid Benabdeslem; Haytham Elghazel (IJCNN, 2022)

Iterative adversarial removal of gender bias in pretrained word embeddings. - Yacine Gaci; Boualem Benatallah; Fabio Casati; Khalid Benabdeslem (SAC, 2022)

Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models. - Khoula Meddahi; Seif-Eddine Benkabou; Allel Hadjali; Amin Mesmoudi; Dou El Kefel Mansouri; Khalid Benabdeslem; Souleyman Chaib (WISE, 2022)

sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach. - Khalid Benabdeslem; Dou El Kefel Mansouri; Raywat Makkhongkaew (IEEE Trans. Knowl. Data Eng., 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)

Accounting for Imputation Uncertainty During Neural Network Training. - Thomas Ranvier; Haytham Elghazel; Emmanuel Coquery; Khalid Benabdeslem (DaWaK, 2023)

Societal Versus Encoded Stereotypes in Text Encoders. - Yacine Gaci; Boualem Benatallah; Fabio Casati; Khalid Benabdeslem (ICTAI, 2023)

RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression. - Vivien Kraus; Khalid Benabdeslem; Seif-Eddine Benkabou; Dou El Kefel Mansouri; Bruno Canitia (ICTAI, 2023)

Targeting the Source: Selective Data Curation for Debiasing NLP Models. - Yacine Gaci; Boualem Benatallah; Fabio Casati; Khalid Benabdeslem (ECML/PKDD (2), 2023)

Query-adaptive training data recommendation for cross-building predictive modeling. - Mouna Labiadh; Christian Obrecht; Catarina Ferreira da Silva; Parisa Ghodous; Khalid Benabdeslem (Knowl. Inf. Syst., 2023)

CoSP: co-selection pick for a global explainability of black box machine learning models. - Dou El Kefel Mansouri; Seif-Eddine Benkabou; Khoula Meddahi; Allel Hadjali; Amin Mesmoudi; Khalid Benabdeslem; Souleyman Chaib (World Wide Web (WWW), 2023)

Bias Exposed: The BiaXposer Framework for NLP Fairness. - Yacine Gaci; Boualem Benatallah; Fabio Casati; Khalid Benabdeslem (ICSOC (1), 2024)

Error Types in Transformer-Based Paraphrasing Models: A Taxonomy, Paraphrase Annotation Model and Dataset. - Auday Berro; Boualem Benatallah; Yacine Gaci; Khalid Benabdeslem (ECML/PKDD (1), 2024)

iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models. - Yassir Lairgi; Ludovic Moncla; Rémy Cazabet; Khalid Benabdeslem; Pierre Cléau (WISE (4), 2024)

PAC-Bayesian Domain Adaptation Bounds for Multi-view learning. - Mehdi Hennequin; Khalid Benabdeslem; Haytham Elghazel (CoRR, 2024)

Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds. - Mehdi Hennequin; Abdelkrim Zitouni; Khalid Benabdeslem; Haytham Elghazel; Yacine Gaci (CoRR, 2024)

Implicit Regularization for Multi-label Feature Selection. - Dou El Kefel Mansouri; Khalid Benabdeslem; Seif-Eddine Benkabou (CoRR, 2024)

Fréchet regression for multi-label feature selection with implicit regularization. - Dou El Kefel Mansouri; Seif-Eddine Benkabou; Khalid Benabdeslem (CoRR, 2024)

mFILS: Tri-Selection via Convex and Nonconvex Regularizations. - Dou El Kefel Mansouri; Khalid Benabdeslem; Seif-Eddine Benkabou; Souleyman Chaib; Mohamed Chohri (IEEE Trans. Neural Networks Learn. Syst., 2024)

LLMs to Replace Crowdsourcing in Generating Syntactically Diverse Paraphrases for Task-Oriented Chatbots. - Auday Berro; Vitor Gaboardi Dos Santos; Boualem Benatallah; Khalid Benabdeslem (CAiSE (1), 2025)

A temporal dependency preserving approach for anomaly detection on multivariate time series. - Seif-Eddine Benkabou; Khalid Benabdeslem; Dou El Kefel Mansouri; Souleyman Chaib; Amin Mesmoudi; Allel Hadjali (World Wide Web (WWW), 2025)