An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies. - Rony Chowdhury Ripan; Iqbal H. Sarker; Md Musfique Anwar; Md. Hasan Furhad; Fazle Rahat; Mohammed Moshiul Hoque; Muhammad Sarfraz 001 (HIS, 2020)

An Effective Heart Disease Prediction Model Based on Machine Learning Techniques. - Rony Chowdhury Ripan; Iqbal H. Sarker; Md. Hasan Furhad; Md Musfique Anwar; Mohammed Moshiul Hoque (HIS, 2020)

An Automated Candidate Selection System Using Bangla Language Processing. - Md. Moinul Islam; Farzana Yasmin; Mohammad Shamsul Arefin; Zaber Al Hassan Ayon; Rony Chowdhury Ripan (ICO, 2020)

Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce. - Md. Moinul Islam; Rony Chowdhury Ripan; Saralya Roy; Fazle Rahat (ICO, 2021)

A Data-Driven Heart Disease Prediction Model Through K-Means Clustering-Based Anomaly Detection. - Rony Chowdhury Ripan; Iqbal H. Sarker; Syed Mohammad Minhaz Hossain; Md Musfique Anwar; Raza Nowrozy; Mohammed Moshiul Hoque; Md. Hasan Furhad (SN Comput. Sci., 2021)

Prevalence of Stroke in Rural Bangladesh: A Population Based Study. - Md. Mashiar Rahman; Rony Chowdhury Ripan; Farhana Sarker; Moinul H. Chowdhury; A. K. M. Nazmul Islam; Khondaker Abdullah Al Mamun (MIET (2), 2022)

Effectively predicting cyber-attacks through isolation forest learning-based outlier detection. - Rony Chowdhury Ripan; Md. Moinul Islam; Hamed AlQahtani; Iqbal H. Sarker (Secur. Priv., 2022)

Multimodal deep learning approaches for single-cell multi-omics data integration. - Tasbiraha Athaya; Rony Chowdhury Ripan; Xiaoman Li; Haiyan Hu (Briefings Bioinform., 2023)