A Comparative Analysis of Feature Extraction Methods for Classifying Colon Cancer Microarray Data. - Micheal Olaolu Arowolo; Rafiu Mope Isiaka; Sulaiman Olaniyi Abdulsalam; Kayode Yakub Saheed; Kazeem Alagbe Gbolagade (EAI Endorsed Trans. Scalable Inf. Syst., 2017)

Feature Selection with IG-R for Improving Performance of Intrusion Detection System. - Kayode Yakub Saheed; Fatimah E. Usman-Hamza (Int. J. Commun. Networks Inf. Secur., 2020)

An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product. - Yakub Kayode Saheed; Olumide Longe; Usman Ahmad Baba; Sandip Rakshit; Narasimha Rao Vajjhala (ICACDS (1), 2021)

A Hybrid Metaheuristic Algorithm for Features Dimensionality Reduction in Network Intrusion Detection System. - Bukola Fatimah Balogun; Kazeem Alagbe Gbolagade; Micheal Olaolu Arowolo; Kayode Yakub Saheed (ICCSA (9), 2021)

Efficient Cyber Attack Detection on the Internet of Medical Things-Smart Environment Based on Deep Recurrent Neural Network and Machine Learning Algorithms. - Kayode Yakub Saheed; Micheal Olaolu Arowolo (IEEE Access, 2021)

Autoencoder via DCNN and LSTM Models for Intrusion Detection in Industrial Control Systems of Critical Infrastructures. - Kayode Yakub Saheed; Sanjay Misra; Sabarathinam Chockalingam (EnCyCriS@ICSE, 2023)

A novel hybrid autoencoder and modified particle swarm optimization feature selection for intrusion detection in the internet of things network. - Kayode Yakub Saheed; Aisha Abubakar Usman; Favour Dirwokmwa Sukat; Muftahu Abdulrahman (Frontiers Comput. Sci., 2023)

Microarray Gene Expression Data Classification via Wilcoxon Sign Rank Sum and Novel Grey Wolf Optimized Ensemble Learning Models. - Kayode Yakub Saheed; Bukola Fatimah Balogun; Braimah Joseph Odunayo; Mustapha Abdulsalam (IEEE ACM Trans. Comput. Biol. Bioinform., 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 of machine learning based risk prediction models for diabetic retinopathy progression. - Tiwalade Modupe Usman; Yakub Kayode Saheed; Augustine Nsang; Abel Ajibesin; Sandip Rakshit (Artif. Intell. Medicine, 2023)

An Effective Intrusion Detection in Mobile Ad-hoc Network Using Deep Belief Networks and Long Short-Term Memory. - Abdulfatai Shola Hanafi; Yakub Kayode Saheed; Micheal Olaolu Arowolo (Int. J. Interact. Mob. Technol., 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)

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)

Modified bi-directional long short-term memory and hyperparameter tuning of supervised machine learning models for cardiovascular heart disease prediction in mobile cloud environment. - Yakub Kayode Saheed; Taofeekat Tosin Salau-Ibrahim; Mustapha Abdulsalam; Ismaeel Aderibigbe Adeniji; Bukola Fatimah Balogun (Biomed. Signal Process. Control., 2024)

ResNet50-1D-CNN: A new lightweight resNet50-One-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in cyber-physical systems. - Yakub Kayode Saheed; Oluwadamilare Harazeem Abdulganiyu; Kaloma Usman Majikumna; Musa Mustapha; Abebaw Degu Workneh (Int. J. Crit. Infrastructure Prot., 2024)

Feature selection in intrusion detection systems: a new hybrid fusion of Bat algorithm and Residue Number System. - Yakub Kayode Saheed; Temitope Olubanjo Kehinde; Mustafa Ayobami Raji; Usman Ahmad Baba (J. Inf. Telecommun., 2024)

A voting gray wolf optimizer-based ensemble learning models for intrusion detection in the Internet of Things. - Yakub Kayode Saheed; Sanjay Misra (Int. J. Inf. Sec., 2024)

CPS-IIoT-P2Attention: Explainable Privacy-Preserving With Scaled Dot-Product Attention in Cyber-Physical System-Industrial IoT Network. - Yakub Kayode Saheed; Joshua Ebere Chukwuere (IEEE Access, 2025)

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)