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Seif-Eddine Benkabou
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Books and Theses
- 2018
- [b1]Seif-Eddine Benkabou:
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). University of Lyon, France, 2018
Journal Articles
- 2024
- [j6]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): 9871-9884 (2024) - 2023
- [j5]Houssameddine Yousfi, Amin Mesmoudi, Allel Hadjali, Houcine Matallah, Seif-Eddine Benkabou:
SRDF_QDAG: An efficient end-to-end RDF data management when graph exploration meets spatial processing. Comput. Sci. Inf. Syst. 20(4): 1311-1341 (2023) - [j4]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): 3965-3981 (2023) - 2022
- [j3]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): 6701-6711 (2022) - 2021
- [j2]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): 6443-6465 (2021) - 2018
- [j1]Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
Unsupervised outlier detection for time series by entropy and dynamic time warping. Knowl. Inf. Syst. 54(2): 463-486 (2018)
Conference and Workshop Papers
- 2023
- [c9]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: 99-105 - [c8]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Seif-Eddine Benkabou:
Adaptive Patch Labeling and Multi-Label Feature Selection for 360-Degree Image Quality Assessment. MMSP 2023: 1-6 - 2022
- [c7]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: 97-109 - [c6]Boumediene Saidi, Houssameddine Yousfi, Amin Mesmoudi, Seif-Eddine Benkabou, Allel Hadjali, Houcine Matallah:
RDF_QDAG in Action: Efficient RDF Data Querying at Scale. WISE 2022: 633-640 - 2019
- [c5]Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Josep Lluís Larriba-Pey, Khalid Benabdeslem:
Reducing Traffic Congestion by LSTM-LOF Framework. AICCSA 2019: 1-8 - [c4]Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Khalid Benabdeslem:
A Novel Proposed Pooling for Convolutional Neural Network. ICTAI 2019: 1739-1743 - 2018
- [c3]Vivien Kraus, Seif-Eddine Benkabou, Khalid Benabdeslem, Frédéric Cherqui:
An Improved Laplacian Semi-Supervised Regression. ICTAI 2018: 564-570 - 2017
- [c2]Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
ℓ2-type regularization-based unsupervised anomaly detection from temporal data. IJCNN 2017: 2354-2361 - [c1]Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
Local-to-Global Unsupervised Anomaly Detection from Temporal Data. PAKDD (1) 2017: 762-772
Coauthor Index
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