Impact on Student Learning From Traditional Continuous Assessment and an E-Assessment Proposal. - Seibu Mary Jacob; Biju Issac 001; Yakub Sebastian (PACIS, 2006)

Effects of Online MCQ Tests on Student Learning. - Biju Issac 001; Seibu Mary Jacob (EIAT/IETA, 2008)

Mobile Technologies and its Impact - An Analysis in Higher Education Context. - Seibu Mary Jacob; Biju Issac 001 (Int. J. Interact. Mob. Technol., 2008)

Analysis of Phishing Attacks and Countermeasures. - Biju Issac 001; Raymond Chiong; Seibu Mary Jacob (CoRR, 2014)

The mobile devices and its mobile learning usage analysis. - Seibu Mary Jacob; Biju Issac 001 (CoRR, 2014)

Mobile Learning Culture and Effects in Higher Education. - Seibu Mary Jacob; Biju Issac 001 (CoRR, 2014)

Formative Assessment and its E-learning Implementation. - Seibu Mary Jacob; Biju Issac 001 (CoRR, 2014)

Problem Based Learning and Implementations. - Seibu Mary Jacob; Biju Issac 001 (CoRR, 2014)

Multi-Population Differential Evolution for Retinal Blood Vessel Segmentation. - Kamlesh Mistry; Biju Issac 001; Seibu Mary Jacob; Jyoti Jasekar; Li Zhang 013 (ICARCV, 2018)

Intelligent Intrusion Detection System Through Combined and Optimized Machine Learning. - Syed Ali Raza Shah; Biju Issac 001; Seibu Mary Jacob (Int. J. Comput. Intell. Appl., 2018)

A Semi-Supervised Learning Approach for Tackling Twitter Spam Drift. - Niddal H. Imam; Biju Issac 001; Seibu Mary Jacob (Int. J. Comput. Intell. Appl., 2019)

Phishing Web Page Detection Using Optimised Machine Learning. - Jordan Stobbs; Biju Issac 001; Seibu Mary Jacob (TrustCom, 2020)

Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms. - Simran Gibson; Biju Issac 001; Li Zhang 013; Seibu Mary Jacob (IEEE Access, 2020)

Android Malware Classification and Optimisation Based on BM25 Score of Android API. - Rahul Yumlembam; Biju Issac 001; Longzhi Yang; Seibu Mary Jacob (INFOCOM Workshops, 2023)

A Multi-Stage Machine Learning and Fuzzy Approach to Cyber-Hate Detection. - Lida Ketsbaia; Biju Issac 001; Xiaomin Chen; Seibu Mary Jacob (IEEE Access, 2023)

IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense. - Rahul Yumlembam; Biju Issac 001; Seibu Mary Jacob; Longzhi Yang (IEEE Internet Things J., 2023)

Flow-based Detection of Botnets through Bio-inspired Optimisation of Machine Learning. - Biju Issac 001; Kyle Fryer; Seibu Mary Jacob (CoRR, 2024)

Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers. - Rahul Yumlembam; Biju Issac 001; Seibu Mary Jacob; Longzhi Yang (Inf. Fusion, 2024)