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 23 papers between 2012 and 2026.

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

2026
Efficient Monolingual Pretraining in Low-Resource Settings Through Morphology-Aware Tokenization, Principled Corpus Denoising, and Benchmark-Driven Evaluation.
IEEE Access, 2026

2025
Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework.
CoRR, September, 2025

Proximity-Constrained Counterfactuals for Explainable Diabetes Risk Assessment.
Appl. Comput. Intell. Soft Comput., 2025

IntPort: An Intelligent Portfolio Construction Technique Based on Financial Forecasting by Statistical Average Method.
IEEE Access, 2025

Explainable Gait Abnormality Detection Using Dual-Dataset CNN-LSTM Models.
Proceedings of the International Conference on Machine Learning and Applications, 2025

Context Minimization for Resource-Constrained Text Classification: Optimizing Performance-Efficiency Trade-offs through Linguistic Features.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

StagRAG: Explaining Where RAG Systems Go Wrong in Medical Reasoning.
Proceedings of the IEEE International Conference on Big Data, 2025

Extracting Latent Insights and Tagging Fall Injuries from Clinical Narratives Using Unsupervised Learning.
Proceedings of the IEEE International Conference on Big Data, 2025

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

YOLO-SCSA: Enhanced YOLOv8 with Spatially Coordinated Shuffling Attention Mechanisms for Skin Cancer Detection.
Proceedings of the International Conference on Machine Learning and Applications, 2024

Identifying Probable Neurological Disorders with Explainable Machine Learning Techniques.
Proceedings of the IEEE International Conference on Big Data, 2024

Enhancing Early Diagnosis of Autism Spectrum Disorder Using Multimodal Data and Explainable AI Models.
Proceedings of the IEEE International Conference on Big Data, 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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