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)

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)

Détection d'anomalies dans les séries temporelles : application aux masses de données sur les pneumatiques. (Outlier detection for time series data : application to tyre data). - Seif-Eddine Benkabou (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)

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

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)

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)

RDF_QDAG in Action: Efficient RDF Data Querying at Scale. - Boumediene Saidi; Houssameddine Yousfi; Amin Mesmoudi; Seif-Eddine Benkabou; Allel Hadjali; Houcine Matallah (WISE, 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)

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)

Adaptive Patch Labeling and Multi-Label Feature Selection for 360-Degree Image Quality Assessment. - Abderrezzaq Sendjasni; Mohamed-Chaker Larabi; Seif-Eddine Benkabou (MMSP, 2023)

SRDF_QDAG: An efficient end-to-end RDF data management when graph exploration meets spatial processing. - Houssameddine Yousfi; Amin Mesmoudi; Allel Hadjali; Houcine Matallah; Seif-Eddine Benkabou (Comput. Sci. 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)

Selectivity Estimation for Spatial Filters Using Optimizer Feedback: A Machine Learning Perspective. - Nadir Guermoudi; Houcine Matallah; Amin Mesmoudi; Seif-Eddine Benkabou; Allel Hadjali (WISE (4), 2024)

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

A Two-Fold Patch Selection Approach for Improved 360-Degree Image Quality Assessment. - Abderrezzaq Sendjasni; Seif-Eddine Benkabou; Mohamed-Chaker Larabi (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)

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)