Author

Md Abrar Jahin

University of Southern California

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#artificial intelligence Preprint Sep 2026

RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection

RINSE (Robust Iterative Normality Self-Estimation), a gradient-free target-time framework that keeps the source-trained detector fixed while sequentially estimating target normality, representation calibration, and evidence reliability from the target graph, is introduced.

Taufikur Rahman Fuad, Md Abrar Jahin, Amir Hussain · 0 citations

#machine learning Open access Mar 2024

Predicting male domestic violence using explainable ensemble learning and exploratory data analysis

A stacking ensemble model with ANN and CatBoost as base classifiers and Logistic Regression as the meta-model, which demonstrated the best performance, achieving 95% accuracy, a 99.29% AUC, and balanced metrics across evaluation criteria is proposed.

Md Abrar Jahin, Saleh Akram Naife, Fatema Tuj et al. · Discover Applied Sciences · 2 citations