Seif-Eddine Benkabou

Orcid: 0000-0002-4526-534X

According to our database1, Seif-Eddine Benkabou authored at least 16 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
mFILS: Tri-Selection via Convex and Nonconvex Regularizations.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

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

SRDF_QDAG: An efficient end-to-end RDF data management when graph exploration meets spatial processing.
Comput. Sci. Inf. Syst., 2023

Adaptive Patch Labeling and Multi-Label Feature Selection for 360-Degree Image Quality Assessment.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

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

2022
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model.
IEEE Trans. Neural Networks Learn. Syst., 2022

RDF_QDAG in Action: Efficient RDF Data Querying at Scale.
Proceedings of the Web Information Systems Engineering - WISE 2022, 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

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

2019
A Novel Proposed Pooling for Convolutional Neural Network.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Reducing Traffic Congestion by LSTM-LOF Framework.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

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).
PhD thesis, 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

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


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