Md Faisal Kabir

According to our database, Md Faisal Kabir authored at least 11 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing.

Jonathan Cui, David A. Araujo, Suman Saha, Md Faisal Kabir

CoRR, 2023

Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code.

Bilal Al-Ahmad, Nailah Al-Madi, Abdullah Alzaqebah, Rami S. Alkhawaldeh, Khaled Aldebei, Md Faisal Kabir, Ismail Al-Taharwa, Mua'ad Abu-Faraj, Ibrahim Aljarah

IEEE Access, 2023

Automated Data Labeling for Object Detection via Iterative Instance Segmentation.

Jinyoon Kim, Md Faisal Kabir

Proceedings of the International Conference on Machine Learning and Applications, 2023

An Edge Internet of Things Framework for Machine Learning-Based Skin Cancer Detection Models.

Karthik Reddy Kanjula, Ashok Raju Datla, Tianjie Chen, Md Faisal Kabir

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Swarm intelligence-based model for improving prediction performance of low-expectation teams in educational software engineering projects.

Bilal I. Al-Ahmad, Ala' A. Al-Zoubi, Md Faisal Kabir, Marwan Al-Tawil, Ibrahim Aljarah

PeerJ Comput. Sci., 2022

2021

A Health Service Delivery Relational Agent for the COVID-19 Pandemic.

Ashraful Islam, Mohammad Masudur Rahman, Md Faisal Kabir, Beenish M. Chaudhry

Proceedings of the Next Wave of Sociotechnical Design, 2021

2019

Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches.

Md Faisal Kabir, Daniel Schulman, Abu Saleh Abdullah

J. Medical Syst., 2019

Classification Models and Survival Analysis for Prostate Cancer Using RNA Sequencing and Clinical Data.

Md Faisal Kabir, Simone A. Ludwig

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Classification of Breast Cancer Risk Factors Using Several Resampling Approaches.

Md Faisal Kabir, Simone A. Ludwig

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Rule Discovery from Breast Cancer Risk Factors using Association Rule Mining.

Md Faisal Kabir, Simone A. Ludwig, Abu Saleh Abdullah

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2012

Data generalisation with k-means for scalable data mining.

F. A. Siddiky, Md Faisal Kabir, Monzurur Rahman

Int. J. Knowl. Eng. Data Min., 2012