Rony Chowdhury Ripan

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Outlier Detection

Feature Engineering

Prediction Model

Top Venues

Publications

Tasbiraha Athaya, Rony Chowdhury Ripan, Xiaoman Li, Haiyan Hu
Multimodal deep learning approaches for single-cell multi-omics data integration. Briefings Bioinform. 24 (5) (2023)
Md. Mashiar Rahman, Rony Chowdhury Ripan, Farhana Sarker, Moinul H. Chowdhury, A. K. M. Nazmul Islam, Khondaker A. Mamun
Prevalence of Stroke in Rural Bangladesh: A Population Based Study. MIET (2) (2022)
Rony Chowdhury Ripan, Md. Moinul Islam, Hamed AlQahtani, Iqbal H. Sarker
Effectively predicting cyber-attacks through isolation forest learning-based outlier detection. Secur. Priv. 5 (3) (2022)
Md. Moinul Islam, Rony Chowdhury Ripan, Saralya Roy, Fazle Rahat
Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce. ICO (2021)
Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar, Md. Hasan Furhad, Fazle Rahat, Mohammed Moshiul Hoque, Muhammad Sarfraz
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies. CoRR (2021)
Rony Chowdhury Ripan, Iqbal H. Sarker, Syed Md. Minhaz Hossain, Md Musfique Anwar, Raza Nowrozy, Mohammed Moshiul Hoque, Md. Hasan Furhad
A Data-Driven Heart Disease Prediction Model Through K-Means Clustering-Based Anomaly Detection. SN Comput. Sci. 2 (2) (2021)
Rony Chowdhury Ripan, Iqbal H. Sarker, Md. Hasan Furhad, Md Musfique Anwar, Mohammed Moshiul Hoque
An Effective Heart Disease Prediction Model Based on Machine Learning Techniques. HIS (2020)
Md. Moinul Islam, Farzana Yasmin, Mohammad Shamsul Arefin, Zaber Al Hassan Ayon, Rony Chowdhury Ripan
An Automated Candidate Selection System Using Bangla Language Processing. ICO (2020)
Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar, Md. Hasan Furhad, Fazle Rahat, Mohammed Moshiul Hoque, Muhammad Sarfraz
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies. HIS (2020)