Md Faisal Kabir

Orcid: 0000-0001-6088-9487

Affiliations:
  • Pennsylvania State University, Harrisburg, PA, USA
  • North Dakota State University, USA (former)


According to our database1, Md Faisal Kabir authored at least 12 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
CS-Mixer: A Cross-Scale Vision Multilayer Perceptron With Spatial-Channel Mixing.
IEEE Trans. Artif. Intell., October, 2024

2023
CS-Mixer: A Cross-Scale Vision MLP Model with Spatial-Channel Mixing.
CoRR, 2023

Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code.
IEEE Access, 2023

Automated Data Labeling for Object Detection via Iterative Instance Segmentation.
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.
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.
PeerJ Comput. Sci., 2022

2021
A Health Service Delivery Relational Agent for the COVID-19 Pandemic.
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.
J. Medical Syst., 2019

Classification Models and Survival Analysis for Prostate Cancer Using RNA Sequencing and Clinical Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Classification of Breast Cancer Risk Factors Using Several Resampling Approaches.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Rule Discovery from Breast Cancer Risk Factors using Association Rule Mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2012
Data generalisation with k-means for scalable data mining.
Int. J. Knowl. Eng. Data Min., 2012


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