Recent Publications

Book

  1. Clustering Techniques in Spatial Data Analysis, co-authors: S. Sarmah, D. K. Bhattacharyya and J. K. Kalita, published by Verlag DM AG & Co, KG, Germany; ISBN :978-3-8473-4150-5.
Journal Papers
  1. BJ Singha, N Jitani, R Sarmah, DK Bhattacharyya, "EIMF: An Enhanced Iterative Mean Filter for Effective Denoising of Medical CT Images". SN Computer Science 6 (5), 449, 2025
  2. S Paul, M Rahman, A Dolley, K Saikia, CS Singh, A Mohammed, G. Muteeb, R. Sarmah, ND Namsa"A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children". PeerJ 13, e19025, 2025
  3. N Jitani, BJ Singha, G Barman, A Talukdar, R Sarmah, DK Bhattacharyya, Medical image segmentation using automated rough density approach, Multimedia Tools and Applications 83 (13), 39677-39705, 2024
  4. RK Prasad, R Sarmah, S Chakraborty, "NNVDC: A new versatile density-based clustering method using k-Nearest Neighbors." Expert Systems with Applications 227, 120250, 2023
  5. RK Prasad,S Chakraborty,R Sarmah,"Impact of distance measures on partition-based clustering method—an empirical investigation." International Journal of Information Technology 15.2, 627-642, 2023
  6. K Mandal, R Sarmah,"SGAClust: Semi-supervised graph attraction clustering of gene expression data." Network Modeling Analysis in Health Informatics and Bioinformatics 11.1, 2022
  7. K Mandal, R Sarmah, D K Bhattacharyya. "POPTric: Pathway-based Order Preserving Triclustering for gene sample time data analysis." Expert Systems with Applications 192, 116336, 2022
  8. K. Mandal, R. Sarmah, D K.Bhattacharyya, J.K. Kalita and B. Borah, Rank-Preserving Biclustering Algorithm: A Case Study on miRNA Breast Cancer. Medical Biological Engineering & Computing, 2021.
  9. RK Prasad, R Sarmah, S Chakraborty. "Changing Clusters of Indian States with respect to number of Cases of COVID-19 using incrementalKMN Method." arXiv preprint arXiv:2007.05954, 2020.
  10. P Patowary, R Sarmah, D K. Bhattacharyya. "Developing an effective biclustering technique using an enhanced proximity measure." Network Modeling Analysis in Health Informatics and Bioinformatics 9, 1-17, 2020
  11. K Mandal, R Sarmah, D K Bhattacharyya, POPBic: Pathway-based Order Preserving Biclustering algorithm towards the analysis of gene expression data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020. Impact factor: 2.428. (indexed)
  12. K Mandal, R Sarmah, D K Bhattacharyya, Biomarker Identification for Cancer Disease Using Biclustering Approach: An Empirical Study, IEEE/ACM Transactions on Comput. Biology and Bioinformatics, 2019. Impact factor: 2.428. (indexed)
  13. S. Keretsu and R. Sarmah, Identification of Protein Complexes in Protein-Protein Interaction Networks by Core-Attachment Approach Incorporating Gene Expression Profile, International Journal of Bioinformatics Research and Applications, Vol. 13(4), 313-327, 2017. (indexed).
  14. S. Keretsu and R. Sarmah, Weighted edge based clustering to identify protein complexes in protein–protein interaction networks incorporating gene expression profile, Computational Biology and Chemistry, Vol. 65, pp. 69-79, 2016, Impact factor: 1.850. (indexed).
  15. Rosy Sarmah, Gene Expression Data Clustering using a Fuzzy Link based Approach, International Journal of Computer Information Systems and Industrial Management (IJCISIM), ISSN No. 2150-7988, Vol. 5, pp. 532-541, 2013. (indexed).
  16. G. Priyadarshini, Rosy Sarmah, B. Chakraborty, D.K. Bhattacharyya and J.K. Kalita, An Effective Graph based Clustering Technique to Indentify Coherent Patterns from Gene Expression Data, International Journal of Bioinformatics Research and Applications, IJBRA, ISSN online: 1744-5493, ISSN print: 1744-5485, Vol. 8(1-2), pp. 18-37, 2012. (indexed)
  17. Rosy Das, D.K. Bhattacharyya and J.K. Kalita, A Pattern Matching Approach for Clustering Gene Expression Data, International Journal of Data Mining, Modelling and Management (IJDMMM), ISSN online: 1759-1171, ISSN print: 1759-1163, vol 3, no 2, pages 130-149, July, 2011. (indexed)
  18. M. Goswami, Rosy Sarmah and D.K. Bhattacharyya, CNNC: A Common Nearest Neighbour Clustering Approach for Gene Expression Data, International Journal of Computational Vision and Robotics (IJCVR), ISSN online: 1752-914X, ISSN print: 1752-9131, Vol. 2, no 2 (Inderscience), pp. 115-126, 2011. (indexed)
  19. Rosy Das , D.K. Bhattacharyya and J.K. Kalita, Clustering Gene Expression Data using an Effective Dissimilarity Measure , International Journal of Computational BioScience (Special Issue), ISSN (Online): 1918-3909, vol 1, no 1, pp 55-68, March, 2010 .
  20. R. Das , J.K. Kalita and D.K. Bhattacharyya, A New Approach for Clustering Gene Expression Time Series Data, International Journal of Bioinformatics Research and Applications, IJBRA, ISSN online: 1744-5493, ISSN print: 1744-5485, Vol. 5, No. 3, pp. 310-328, 2009. (indexed)
  21. Rosy Das, D.K. Bhattacharyya and J.K. Kalita, Clustering Gene Expression Data using a Regulation Based Density Clustering , International Journal of Recent Trends in Engineering, IJRTE, ISSN 1797-9617, Vol. 2, No. 1-6, pp. 76-78, Academy Publishers, 2009.
  22. Rosy Das, Sauravjyoti Sarmah and D. K. Bhattacharyya, A Pattern Matching Approach for Identifying Coherent Patterns over Gene Expression Data , Journal of Assam Science Society, ISSN: 0587-1921, Vol.50 (1&2) 2009.
  23. S. Sarmah, R. Das and D.K. Bhattacharyya, A Distributed Algorithm for Intrinsic Cluster Detection over Large Spatial Data, International Journal of Electrical & Computer Engineering, e-ISSN: 2010-3956, p-ISSN: 2010-3948, vol 3, No. 4, pp. 246-256, 2008. (indexed)
Published Book Chapters
  1. R Sarmah, Ramakrishnananda, PS Katiyar, "Employing Grad-CAM in DL Models for Tumor Segmentation and Visual Explanation: An Empirical Study." International Conference on Data Science and Applications, 477-488 2024
  2. PS Katiyar, R Sarmah, "VU-NET: An Explainable AI Approach For Liver Segmentation", 15th International Conference on Computing Communication and Networking, pp. 1-7, 2024
  3. N Jitani,B. Singha,G. Barman,A. Talukdar,B. K.Choudhury,R. Sarmah,D. K. Bhattacharyya. "Gallbladder CT Image Segmentation by Integrating Rough Entropy Thresholding with Contours." Advanced Computational Paradigms and Hybrid Intelligent Computing: Proceedings of ICACCP 2021. Springer Singapore, 2022.
  4. RC Baishya, R Sarmah, D. K. Bhattacharyya. "Improving Co-expressed Gene Pattern Finding Using Gene Ontology." Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019). Springer International Publishing, 2020
  5. Joshi, Reema, and Rosy Sarmah. "Survey of methods used for differential expression analysis on rna seq data." Biologically Inspired Techniques in Many-Criteria Decision Making: International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019). Springer International Publishing, 2020
  6. Rabinder Kumar Prasad, Rosy Sarmah and Subrata Chakraborty, Incremental k-Means Method, Pattern Recognition and Machine Intelligence, pp. 38-46, Springer, 2019.
  7. K Mandal and R Sarmah, A density based clustering for gene expression data using gene ontology, Lecture Notes in Networks and Systems, vol 24. Springer, Singapore, 2018
  8. R. C. Baishya, R. Sarmah, D. K. Bhattacharyya, M. A. Dutta, A Similarity Measure for Clustering Gene Expression Data, Lecture Notes in Computer Science, vol 8321. Springer, 2014
  9. Sauravjyoti Sarmah, Rosy Sarmah, and D.K. Bhattacharyya An Effective Density based Hierarchical Clustering Technique to Identify Coherent Patterns from Gene Expression Data, PAKDD 2011, Advances in Knowledge Discovery and Data Mining, LNCS, vol 6634/2011, pp 225-236, ISBN: 978-3-642-20840-9, March, 2011, Shenzen, China.
  10. S Sarmah, R Das, and D K Bhattacharyya, DGDCT: A Distributed Grid-Density Based Algorithm for Intrinsic Cluster Detection over Massive Spatial Data, in the Proc of ICDCN08 (LNCS ISSN 0302-9743), pp 239-250, ISBN: 978-3-540- 77443-3 (Print) 978-3-540-77444-0 (Online), Kolkata, India.
International Conference Papers:
  1. Koyel Mandal and Rosy Sarmah, A density based clustering for gene expression data using gene ontology, Second International Conference on Computing and Communications Systems, I3CS-2016, NEHU, Shillong, 11-13th Nov 2016.
  2. Koyel Mandal, Rosy Sarmah and Bhogeswar Borah, A fuzzy graph based cluster affinity search technique for clustering of gene expression data, IEEE International Conference on Systems in Medicine and Biology, Kharagpur, 4-7th Jan 2016. INSPEC Accession Number: 16852682, DOI: 10.1109/ICSMB.2016.7915092.
  3. Nirupam Choudhury, Rosy Sarmah and Suranjon Sarma, A Modified QT-Clustering Algorithm over Gene Expression Data, in the Proc. of International Conference on Recent Advances in Information Technology, ISBN: 978-1-4577-0694-3, pp. 542-547, 2012.
  4. Giri Mallika Bora and Rosy Sarmah, FLBC: A Fuzzy Link based Clustering Approach for Gene Expression Data, in the Proc. of World Congress on Information and Communication Technologies (WICT 2011), Print ISBN: 978-1-4673-0127-5, pp. 892-897, Mumbai, December 2011.
  5. R. Prasad and Rosy Sarmah, Variable Density Spatial Data Clustering, in the Proc. of 2nd International Conference on Computer and Communication Technology (ICCCT), Print ISBN: 978-1-4577-1385-9, pp. 53-58, Allahabad, September 2011.
  6. Gargi Priyadarshini, Bhaskar Chakraborty, Rosy Sarmah, , D.K. Bhattacharyya and J.K. Kalita, Highly Coherent Pattern Identification Using Graph-based Clustering, in the Proc. of Biotechnology and Bioinformatics Symposium (BIOT 2010), pp. 29-38, Lafayette, Louisiana, October.
  7. Rosy Das, D.K. Bhattacharyya and J.K. Kalita, An Incremental Clustering of Gene Expression Data, in the Proc. of IEEE 2009 World Congress on Nature and Biologically inspired Computing (NABIC'09) Print ISBN: 978-1-4244-5053-4, pp. 742-747, Coimbatore, India, 2009.
  8. R Das, D K Bhattacharyya and J.K. Kalita, A Frequent Itemset-Nearest Neighbor Based Approach for Clustering Gene Expression Data, in the Proc. Of Biotechnology and Bioinformatics Symposium (BIOT 2008), Texas, 2008.
  9. S. Sarmah, R. Das and D K Bhattacharyya, Intrinsic Cluster detection Using Adaptive Grids, in the Proc. of ADCOM 07 (IEEE), ISBN: 0-7695-3059-1, pp 371-376, December 18-21, 2007, Guwahati, India.
  10. R Das, D K Bhattacharyya and J.K. Kalita, An Effective Dissimilarity Measure for Clustering Gene Expression Time Series Data, in the Proc of BIOT07, October, 2007, Colorado, USA, 2007.
  11. R. Das, S. Sarmah and D.K. Bhattacharyya, A Distributed Clustering Technique for Intrinsic Cluster Detection , in the Proc. of The Fourteenth International Conference On Advanced Computing & Communications (ADCOM 2006), ISBN: 1-4244-0716-8, pp. 117-122, Mangalore, India, 2006.
  12. R. Das, S. Sarmah and D.K. Bhattacharyya, A Distributed Clustering Technique for Intrinsic Cluster Detection over Large Spatial Datasets , I International Conference on Multidisciplinary Information Sciences and Technology, InSciT 2006, Merida, Spain.
National Conference Papers:
  1. Rabinder Kumar Prasad, Kaushik Das and Rosy Sarmah, Variable Density Clustering on Spatial Data: A Review, National Conference on Trends in Machine Intelligence, ISBN: 8184871406, March, 2011, Tezpur, India.
  2. Sauravjyoti Sarmah, Rosy Sarmah and D. K. Bhattacharyya, A Distributed Clustering Technique for Gene Expression Data, National Conference on Trends in Machine Intelligence, ISBN: 8184871406, March, 2011, Tezpur, India.
  3. R. Das, S. Sarmah and D.K. Bhattacharyya, A Faster Clustering Technique for Intrinsic Cluster Detection over Spatial Datasets , National Conference on Trends in Advanced Computing (NCTAC 2007), "Networks, Security and Soft Computing", ISBN 978-81-7319-868-7, Tezpur, India

© 2012 Rosy Sarmah