Khadidja Henni

Cluster Density Properties Define a Graph for Effective Pattern Feature Selection

Amar Mitiche, Neila Mezghani, Khadidja Henni, 2020, IEEE Access.

Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors

Charles Gouin-Vallerand, Youssef Ouakrim, Neila Mezghani, 2018, Applied Informatics.

Classification non Supervisée de Données Multidimensionnelles par les Processus Ponctuels Marqués

Olivier Alata, Lynda Zaoui, Khadidja Henni, 2015, ARIMA J..

Unsupervised graph-based feature selection via subspace and pagerank centrality

Charles Gouin-Vallerand, Neila Mezghani, Khadidja Henni, 2018, Expert Syst. Appl..

ClusterMPP: An unsupervised density-based clustering algorithm via Marked Point Process

Olivier Alata, Brigitte Vannier, Lynda Zaoui, 2017, Intell. Data Anal..

Automatic detection of gender on the blogs

Lynda Zaoui, Khadidja Henni, Faiza Belbachir, 2013, 2013 ACS International Conference on Computer Systems and Applications (AICCSA).

A high-performance control algorithm based on a curvature-dependent decoupled planning approach and flatness concepts for non-holonomic mobile robots

Khier Benmahammed, Khadidja Henni, Boualem Boukezata, 2019, Intell. Serv. Robotics.

Driving Fatigue Characterization using Feature Ranking

Charles Gouin-Vallerand, Neila Mezghani, Perrine Ruer, 2018, 2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC).

Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data

Ahmed Moussa, Brigitte Vannier, Pierre-Yves Louis, 2019, Advances in Data Analysis and Classification.

Focal and Generalized Seizures Distinction by Rebalancing Class Data and Random Forest Classification

Neila Mezghani, Lina Abou-Abbas, Khadidja Henni, 2021, BIOMESIP.