Incremental supervised learning: algorithms and applications in pattern recognition. - Aida Chefrour (Evol. Intell., 2019)

AMF-IDBSCAN: Incremental Density Based Clustering Algorithm Using Adaptive Median Filtering Technique. - Aida Chefrour; Labiba Souici-Meslati (Informatica (Slovenia), 2019)

A Novel Incremental Learning Algorithm Based on Incremental Support Vector Machina and Incremental Neural Network Learn++. - Aida Chefrour; Labiba Souici-Meslati; Iness Difi; Nesrine Bakkouche (Rev. d'Intelligence Artif., 2019)

Unsupervised Deep Learning: Taxonomy and algorithms. - Aida Chefrour; Labiba Souici-Meslati (Informatica (Slovenia), 2022)

K-CAE: Image Classification Using Convolutional AutoEncoder Pre-Training and K-means Clustering. - Aida Chefrour; Samia Drissi (Informatica (Slovenia), 2023)

Towards Advanced Approaches to Predict Students Dropout in MOOCS. - Ayemen Chibouti; Samia Drissi; Aida Chefrour; Karima Boussaha (NiDS, 2024)

GAN-Based Data Augmentation for Learning Behavior Analysis in MOOCs. - Betaitia Zouleikha; Aida Chefrour; Drissi Samia (NiDS, 2024)

Exploring the effects of personalized recommendations on student's motivation and learning achievement in gamified mobile learning framework. - Samia Drissi; Aida Chefrour; Karima Boussaha; Hafed Zarzour (Educ. Inf. Technol., 2024)