Behavioral appraoch for intrusion detection. - Taha Ait Tchakoucht; Mostafa Ezziyyani; Mohammed Jbilou; Mikaël Salaün (AICCSA, 2015)

Multilayered Echo-State Machine: A Novel Architecture for Efficient Intrusion Detection. - Taha Ait Tchakoucht; Mostafa Ezziyyani (IEEE Access, 2018)

Land Cover Classification for Fires Using Sentinel-2 Satellite RGB Images and Deep Transfer Learning. - Taha Ait Tchakoucht; El Khalil Cherif (ICPR Workshops (2), 2022)

Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data? - Oumaima Moutik; Hiba Sekkat; Smail Tigani; Abdellah Chehri; Rachid Saadane; Taha Ait Tchakoucht; Anand Paul (Sensors, 2023)

A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures. - Kayode Yakub Saheed; Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht (J. King Saud Univ. Comput. Inf. Sci., 2023)

A systematic literature review for network intrusion detection system (IDS). - Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht; Yakub Kayode Saheed (Int. J. Inf. Sec., 2023)

Integrating K-Fold Cross-Validation with Advanced Classification Techniques for Shrub Coverage Mapping in Fire-Prone Landscapes using Sentinel-2 Imagery. - El Khalil Cherif; Taha Ait Tchakoucht; Tiago Domingos; Vânia Proença (IGARSS, 2024)

Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities. - Yakub Kayode Saheed; Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht (Appl. Soft Comput., 2024)

A puzzle questions form training for self-supervised skeleton-based action recognition. - Oumaima Moutik; Hiba Sekkat; Taha Ait Tchakoucht; Badr Elkari; Ahmed El Hilali Alaoui (Image Vis. Comput., 2024)

Attention-driven multi-model architecture for unbalanced network traffic intrusion detection via extreme gradient boosting. - Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht; Ahmed El Hilali Alaoui; Yakub Kayode Saheed (Intell. Syst. Appl., 2025)

Modified Variational Autoencoder and Attention Mechanism-Based Long Short-Term Memory for Detecting Intrusions in Imbalanced Network Traffic. - Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht; Yakub Kayode Saheed; Meryam El Mouhtadi; Ahmed El Hilali Alaoui (Secur. Priv., 2025)

XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder. - Oluwadamilare Harazeem Abdulganiyu; Taha Ait Tchakoucht; Yakub Kayode Saheed; Elhilali Alaoui Ahmed (J. Supercomput., 2025)