Khalid Benabdeslem

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 45

Top Topics

Convolutional Neural Network

Learning Models

Paying Attention

Anomaly Detection

Top Venues

Knowl. Inf. Syst.

Publications

Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning. CoRR (2024)
Dou El Kefel Mansouri, Khalid Benabdeslem, Seif-Eddine Benkabou, Souleyman Chaib, Mohamed Chohri
mFILS: Tri-Selection via Convex and Nonconvex Regularizations. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem
Accounting for Imputation Uncertainty During Neural Network Training. DaWaK (2023)
Mouna Labiadh, Christian Obrecht, Catarina Ferreira da Silva, Parisa Ghodous, Khalid Benabdeslem
Query-adaptive training data recommendation for cross-building predictive modeling. Knowl. Inf. Syst. 65 (2) (2023)
Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem
Targeting the Source: Selective Data Curation for Debiasing NLP Models. ECML/PKDD (2) (2023)
Dou El Kefel Mansouri, Seif-Eddine Benkabou, Khoula Meddahi, Allel Hadjali, Amin Mesmoudi, Khalid Benabdeslem, Souleyman Chaib
CoSP: co-selection pick for a global explainability of black box machine learning models. World Wide Web (WWW) 26 (6) (2023)
Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem
Societal Versus Encoded Stereotypes in Text Encoders. ICTAI (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)
Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention. EMNLP (2022)
Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel, Thomas Ranvier, Eric Michoux
Multi-view Self-attention for Regression Domain Adaptation with Feature Selection. ICONIP (1) (2022)
Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem
Autoencoder-based Attribute Noise Handling Method for Medical Data. CoRR (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)
Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem
Autoencoder-Based Attribute Noise Handling Method for Medical Data. ICONIP (6) (2022)
Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem
Iterative adversarial removal of gender bias in pretrained word embeddings. SAC (2022)
Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel
Adversarial Multi - View Domain Adaptation for Regression. IJCNN (2022)
Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem
Conceptual Similarity for Subjective Tags. AACL/IJCNLP (Findings) (2022)
Khalid Benabdeslem, Dou El Kefel Mansouri, Raywat Makkhongkaew
sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Khoula Meddahi, Seif-Eddine Benkabou, Allel Hadjali, Amin Mesmoudi, Dou El Kefel Mansouri, Khalid Benabdeslem, Souleyman Chaib
Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models. WISE (2022)
Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem
Masked Language Models as Stereotype Detectors? EDBT (2022)
Auday Berro, Mohammad-ali Yaghub Zade Fard, Marcos Báez, Boualem Benatallah, Khalid Benabdeslem
An Extensible and Reusable Pipeline for Automated Utterance Paraphrases. Proc. VLDB Endow. 14 (12) (2021)
Abdelouahid Alalga, Khalid Benabdeslem, Dou El Kefel Mansouri
3-3FS: ensemble method for semi-supervised multi-label feature selection. Knowl. Inf. Syst. 63 (11) (2021)
Yacine Gaci, Jorge Ramirez, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem
Subjectivity Aware Conversational Search Services. EDBT (2021)
Dou El Kefel Mansouri, Bachir Kaddar, Seif-Eddine Benkabou, Khalid Benabdeslem
The Mode-Fisher pooling for time complexity optimization in deep convolutional neural networks. Neural Comput. Appl. 33 (12) (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)
Dou El Kefel Mansouri, Khalid Benabdeslem
Towards Multi-label Feature Selection by Instance and Label Selections. PAKDD (2) (2021)
Auday Berro, Marcos Báez, Boualem Benatallah, Khalid Benabdeslem, Mohammad-ali Yaghub Zade Fard
Automated Paraphrase Generation with Over-Generation and Pruning Services. ICSOC (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)
Mohamad Kanaan, Khalid Benabdeslem, Hamamache Kheddouci
A Generative Time Series Clustering Framework Based on an Ensemble Mixture of HMMs. ICTAI (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)
Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Khalid Benabdeslem
A Novel Proposed Pooling for Convolutional Neural Network. ICTAI (2019)
Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Josep Lluís Larriba-Pey, Khalid Benabdeslem
Reducing Traffic Congestion by LSTM-LOF Framework. AICCSA (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)
Vivien Kraus, Seif-Eddine Benkabou, Khalid Benabdeslem, Frédéric Cherqui
An Improved Laplacian Semi-Supervised Regression. ICTAI (2018)
Vivien Kraus, Khalid Benabdeslem, Frédéric Cherqui
Régression Laplacienne semi-supervisée pour la reconstitution des dates de pose des réseaux d'assainissement. EGC (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)
Khalid Benabdeslem, Haytham Elghazel, Mohammed Hindawi
Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection. Knowl. Inf. Syst. 49 (3) (2016)
Abdelouahid Alalga, Khalid Benabdeslem, Nora Taleb
Soft-constrained Laplacian score for semi-supervised multi-label feature selection. Knowl. Inf. Syst. 47 (1) (2016)
Raywat Makkhongkaew, Khalid Benabdeslem, Haytham Elghazel
Semi-supervised co-selection: Features and instances by a weighting approach. IJCNN (2016)
Raywat Makkhongkaew, Khalid Benabdeslem
Semi-Supervised Similarity Preserving Co-Selection. ICDM Workshops (2016)
Khalid Benabdeslem, Mohammed Hindawi, Raywat Makkhongkaew
Weighting Based Approach for Semi-supervised Feature Selection. ICONIP (4) (2015)
Haytham Elghazel, Khalid Benabdeslem
Different Aspects of Clustering The Self-Organizing Maps. Neural Process. Lett. 39 (1) (2014)
Khalid Benabdeslem, Mohammed Hindawi
Efficient Semi-Supervised Feature Selection: Constraint, Relevance, and Redundancy. IEEE Trans. Knowl. Data Eng. 26 (5) (2014)
Khalid Benabdeslem, Kais Allab
Bi-clustering continuous data with self-organizing map. Neural Comput. Appl. 22 (7-8) (2013)
Mohammed Hindawi, Khalid Benabdeslem
Local-to-global semi-supervised feature selection. CIKM (2013)
Khalid Benabdeslem, Mohammed Hindawi
Constrained Laplacian Score for Semi-supervised Feature Selection. ECML/PKDD (1) (2011)
Kais Allab, Khalid Benabdeslem
Constraint Selection for Semi-supervised Topological Clustering. ECML/PKDD (1) (2011)
Mohammed Hindawi, Kais Allab, Khalid Benabdeslem
Constraint Selection-Based Semi-supervised Feature Selection. ICDM (2011)
Khalid Benabdeslem, Brice Effantin, Haytham Elghazel
A Graph Enrichment Based Clustering over Vertically Partitioned Data. ADMA (1) (2011)
Mustapha Lebbah, Khalid Benabdeslem
Visualization and clustering of categorical data with probabilistic self-organizing map. Neural Comput. Appl. 19 (3) (2010)
Rakia Jaziri, Khalid Benabdeslem, Haytham Elghazel
A Graph Based Framework for Clustering and Characterization of SOM. ICANN (3) (2010)
Haytham Elghazel, Khalid Benabdeslem, Fatma Hamdi
Consensus clustering by graph based approach. ESANN (2010)
Kais Allab, Khalid Benabdeslem, Alexandre Aussem
Une approche de co-classification automatique à base des cartes topologiques. AAFD (2010)
Khalid Benabdeslem, Jihène Snoussi
A Probabilistic Approach for Constrained Clustering with Topological Map. MLDM (2009)
Haytham Elghazel, Khalid Benabdeslem
Towards B-Coloring of SOM. MLDM (2009)
Haytham Elghazel, Khalid Benabdeslem, Hamamache Kheddouci
McSOM: Minimal Coloring of Self-Organizing Map. ADMA (2009)
Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem
SOM based clustering with instance-level constraints. ESANN (2008)
Anouar BenaHassena, Khalid Benabdeslem, Fazia Bellal, Alexandre Aussem, Bruno Canitia
Intégration de contraintes dans les cartes auto-organisatrices. EGC (2008)
Jihène Snoussi, Khalid Benabdeslem
Classification sous contraintes probabilistes par les cartes topologiques. AAFD (2008)
Haytham Elghazel, Khalid Benabdeslem, Alain Dussauchoy
Constrained Graph b-Coloring Based Clustering Approach. DaWaK (2007)
Khalid Benabdeslem, Mustapha Lebbah, Alexandre Aussem, Marilys Corbex
Approche connexionniste pour l'extraction de profils cas-témoins du cancer du Nasopharynx à partir des données issues d'une étude épidémiologique. EGC (2007)
Khalid Benabdeslem
Descendant hierarchical support vector machine for multi-class problems. IJCNN (2006)
Khalid Benabdeslem, Younès Bennani
Dendogram-based SVM for Multi-Class Classification. J. Comput. Inf. Technol. 14 (4) (2006)
Khalid Benabdeslem, Younès Bennani, Eric Janvier
Visualization and Analysis of Web Navigation Data. ICANN (2002)
Khalid Benabdeslem, Younès Bennani, Eric Janvier
Connectionist Approach for Website Visitors Behaviors Mining. AICCSA (2001)