Seibu Mary Jacob

23 papers B 1C 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Decision-Making in Windows PE Malware Classification During Dataset Shifts with Uncertainty Estimation. CoRR Rahul Yumlembam, Biju Issac, Seibu Mary Jacob
2025	J	`jnl`	Enhancing decision-making in windows PE malware classification during dataset shifts with uncertainty estimation. Knowl. Based Syst. Rahul Yumlembam, Biju Issac, Seibu Mary Jacob
2025	J	`jnl`	Insider Threat Detection Using GCN and Bi-LSTM with Explicit and Implicit Graph Representations. CoRR Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang, Deepa Krishnan
2025	J	`jnl`	IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense. CoRR Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang
2024	J	`jnl`	Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers. CoRR Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang
2024	J	`jnl`	Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers. Inf. Fusion Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang
2024	J	`jnl`	Flow-based Detection of Botnets through Bio-inspired Optimisation of Machine Learning. CoRR Biju Issac, Kyle Fryer, Seibu Mary Jacob
2023	J	`jnl`	A Multi-Stage Machine Learning and Fuzzy Approach to Cyber-Hate Detection. IEEE Access Lida Ketsbaia, Biju Issac, Xiaomin Chen, Seibu Mary Jacob
2023	—	`conf`	Android Malware Classification and Optimisation Based on BM25 Score of Android API. INFOCOM Workshops Rahul Yumlembam, Biju Issac, Longzhi Yang, Seibu Mary Jacob
2023	J	`jnl`	IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense. IEEE Internet Things J. Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang
2020	J	`jnl`	Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms. IEEE Access Simran Gibson, Biju Issac, Li Zhang, Seibu Mary Jacob
2020	B	`conf`	Phishing Web Page Detection Using Optimised Machine Learning. TrustCom Jordan Stobbs, Biju Issac, Seibu Mary Jacob
2019	J	`jnl`	A Semi-Supervised Learning Approach for Tackling Twitter Spam Drift. Int. J. Comput. Intell. Appl. Niddal H. Imam, Biju Issac, Seibu Mary Jacob
2018	J	`jnl`	Intelligent Intrusion Detection System Through Combined and Optimized Machine Learning. Int. J. Comput. Intell. Appl. Syed Ali Raza Shah, Biju Issac, Seibu Mary Jacob
2018	C	`conf`	Multi-Population Differential Evolution for Retinal Blood Vessel Segmentation. ICARCV Kamlesh Mistry, Biju Issac, Seibu Mary Jacob, Jyoti Jasekar, Li Zhang
2014	J	`jnl`	Analysis of Phishing Attacks and Countermeasures. CoRR Biju Issac, Raymond Chiong, Seibu Mary Jacob
2014	J	`jnl`	Formative Assessment and its E-learning Implementation. CoRR Seibu Mary Jacob, Biju Issac
2014	J	`jnl`	Mobile Learning Culture and Effects in Higher Education. CoRR Seibu Mary Jacob, Biju Issac
2014	J	`jnl`	Problem Based Learning and Implementations. CoRR Seibu Mary Jacob, Biju Issac
2014	J	`jnl`	The mobile devices and its mobile learning usage analysis. CoRR Seibu Mary Jacob, Biju Issac
2008	—	`conf`	Effects of Online MCQ Tests on Student Learning. EIAT/IETA Biju Issac, Seibu Mary Jacob
2008	J	`jnl`	Mobile Technologies and its Impact - An Analysis in Higher Education Context. Int. J. Interact. Mob. Technol. Seibu Mary Jacob, Biju Issac
2006	—	`conf`	Impact on Student Learning From Traditional Continuous Assessment and an E-Assessment Proposal. PACIS Seibu Mary Jacob, Biju Issac, Yakub Sebastian