Rosy Das Sarmah

Orcid: 0000-0003-2564-426X

According to our database1, Rosy Das Sarmah authored at least 24 papers between 2008 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
Mk-Means: Improving Partition-Based Clustering With Optimized Centroid Initialization.
IEEE Access, 2026

2025
EIMF: An Enhanced Iterative Mean Filter for Effective Denoising of Medical CT Images.
SN Comput. Sci., June, 2025

2024
Medical image segmentation using automated rough density approach.
Multim. Tools Appl., April, 2024

VU-NET: An Explainable AI Approach For Liver Segmentation.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
NNVDC: A new versatile density-based clustering method using <i>k</i>-Nearest Neighbors.
Expert Syst. Appl., October, 2023

2022
SGAClust: Semi-supervised Graph Attraction Clustering of gene expression data.
Netw. Model. Anal. Health Informatics Bioinform., 2022

POPTric: Pathway-based Order Preserving Triclustering for gene sample time data analysis.
Expert Syst. Appl., 2022

2021
POPBic: Pathway-Based Order Preserving Biclustering Algorithm Towards the Analysis of Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Rank-preserving biclustering algorithm: a case study on miRNA breast cancer.
Medical Biol. Eng. Comput., 2021

2020
Developing an effective biclustering technique using an enhanced proximity measure.
Netw. Model. Anal. Health Informatics Bioinform., 2020

Changing Clusters of Indian States with respect to number of Cases of COVID-19 using incrementalKMN Method.
CoRR, 2020

2019
Biomarker Identification for Cancer Disease Using Biclustering Approach: An Empirical Study.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Incremental k-Means Method.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2017
Identification of protein complexes in protein-protein interaction networks by core-attachment approach incorporating gene expression profile.
Int. J. Bioinform. Res. Appl., 2017

2016
Weighted edge based clustering to identify protein complexes in protein-protein interaction networks incorporating gene expression profile.
Comput. Biol. Chem., 2016

2014
A Similarity Measure for Clustering Gene Expression Data.
Proceedings of the Applied Algorithms - First International Conference, 2014

2012
An effective graph-based clustering technique to identify coherent patterns from gene expression data.
Int. J. Bioinform. Res. Appl., 2012

A modified QT-clustering algorithm over Gene Expression data.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

2011
A pattern matching approach for clustering gene expression data.
Int. J. Data Min. Model. Manag., 2011

CNNC: a common nearest neighbour clustering approach for gene expression data.
Int. J. Comput. Vis. Robotics, 2011

An Effective Density-Based Hierarchical Clustering Technique to Identify Coherent Patterns from Gene Expression Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2009
A new approach for clustering gene expression time series data.
Int. J. Bioinform. Res. Appl., 2009

An Incremental Clustering of Gene Expression Data.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

2008
DGDCT: A Distributed Grid-Density Based Algorithm for Intrinsic Cluster Detection over Massive Spatial Data.
Proceedings of the Distributed Computing and Networking, 9th International Conference, 2008


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