Linkon Chowdhury
Charles Darwin University(AU)
Publications by Year
Research Areas
Genomics and Phylogenetic Studies, Gene expression and cancer classification, Artificial Intelligence in Healthcare, Machine Learning in Bioinformatics, AI in cancer detection
Most-Cited Works
- → Alzheimer’s Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes(2021)124 cited
- → Explainable AI for Glaucoma Prediction Analysis to Understand Risk Factors in Treatment Planning(2022)81 cited
- → A Big Data-Driven Hybrid Model for Enhancing Streaming Service Customer Retention Through Churn Prediction Integrated With Explainable AI(2024)27 cited
- → Students dropout prediction for intelligent system from tertiary level in developing country(2012)21 cited
- → Explainable AI to understand study interest of engineering students(2023)13 cited
- → Explainable AI to Analyze Outcomes of Spike Neural Network in Covid-19 Chest X-rays(2021)13 cited
- → An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer’s Disease Severity using Multimodal Data(2023)8 cited
- → MSuPDA: A Memory Efficient Algorithm for Sequence Alignment(2015)7 cited
- → A Statistical Approach To Classify The Leukemia Patients From Generic Gene Features(2020)7 cited
- → An Intelligent Children Healthcare System by Using Ensemble Technique(2019)6 cited