Seibu Mary Jacob

Orcid: 0000-0001-9033-794X

According to our database1, Seibu Mary Jacob authored at least 16 papers between 2006 and 2023.

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Bibliography

2023
IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense.
IEEE Internet Things J., May, 2023

A Multi-Stage Machine Learning and Fuzzy Approach to Cyber-Hate Detection.
IEEE Access, 2023

Android Malware Classification and Optimisation Based on BM25 Score of Android API.
Proceedings of the IEEE INFOCOM 2023, 2023

2020
Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms.
IEEE Access, 2020

Phishing Web Page Detection Using Optimised Machine Learning.
Proceedings of the 19th IEEE International Conference on Trust, 2020

2019
A Semi-Supervised Learning Approach for Tackling Twitter Spam Drift.
Int. J. Comput. Intell. Appl., 2019

2018
Intelligent Intrusion Detection System Through Combined and Optimized Machine Learning.
Int. J. Comput. Intell. Appl., 2018

Multi-Population Differential Evolution for Retinal Blood Vessel Segmentation.
Proceedings of the 15th International Conference on Control, 2018

2014
Problem Based Learning and Implementations.
CoRR, 2014

Formative Assessment and its E-learning Implementation.
CoRR, 2014

Mobile Learning Culture and Effects in Higher Education.
CoRR, 2014

The mobile devices and its mobile learning usage analysis.
CoRR, 2014

Analysis of Phishing Attacks and Countermeasures.
CoRR, 2014

2008
Mobile Technologies and its Impact - An Analysis in Higher Education Context.
Int. J. Interact. Mob. Technol., 2008

Effects of Online MCQ Tests on Student Learning.
Proceedings of the Technological Developments in Education and Automation, 2008

2006
Impact on Student Learning From Traditional Continuous Assessment and an E-Assessment Proposal.
Proceedings of the Pacific Asia Conference on Information Systems, 2006


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