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ORCIDSudipta Acharya
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2020 – today
- 2024
[j14]Scarlett Taviss, Steven H. H. Ding, Mohammad Zulkernine, Philippe Charland, Sudipta Acharya:
Asm2Seq: Explainable Assembly Code Functional Summary Generation for Reverse Engineering and Vulnerability Analysis. DTRAP 5(1): 6:1-6:25 (2024)- [i1]Devin Pereira, Christopher Molloy, Sudipta Acharya, Steven H. H. Ding:
Automating SBOM Generation with Zero-Shot Semantic Similarity. CoRR abs/2403.08799 (2024) - 2023
- [j13]Xinyu Hu
, Weihan Ou, Sudipta Acharya, Steven H. H. Ding, Ryan D'Gama, Hanbo Yu:
TDRLM: Stylometric learning for authorship verification by Topic-Debiasing. Expert Syst. Appl. 233: 120745 (2023) - [c13]Cyrus Y. H. Fung, Sudipta Acharya, Tak Pan Wong, Steven H. H. Ding:
Variational Autoencoder with Temporal Condition for Effective Shape-based Calcium Imaging Neuron Registration. BIBM 2023: 1911-1916 - [c12]Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang:
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract). ICDE 2023: 3875-3876 - 2022
- [j12]Sudipta Acharya, Laizhong Cui, Yi Pan:
A Refined 3-in-1 Fused Protein Similarity Measure: Application in Threshold-Free Hub Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 192-206 (2022) - [j11]Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang:
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection. IEEE Trans. Knowl. Data Eng. 34(9): 4371-4384 (2022) - 2020
- [j10]Sudipta Acharya, Laizhong Cui, Yi Pan:
A consensus multi-view multi-objective gene selection approach for improved sample classification. BMC Bioinform. 21-S(13): 386 (2020) - [j9]Sudipta Acharya, Laizhong Cui, Yi Pan:
Multi-view feature selection for identifying gene markers: a diversified biological data driven approach. BMC Bioinform. 21-S(18): 483 (2020) - [j8]Sudipta Acharya, Sriparna Saha, Prasanna Pradhan:
Multi-Factored Gene-Gene Proximity Measures Exploiting Biological Knowledge Extracted from Gene Ontology: Application in Gene Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 207-219 (2020)
2010 – 2019
- 2019
- [j7]Sudipta Acharya, Sriparna Saha, Pracheta Sahoo:
Bi-clustering of microarray data using a symmetry-based multi-objective optimization framework. Soft Comput. 23(14): 5693-5714 (2019) - [c11]Sudipta Acharya, Laizhong Cui, Yi Pan:
Automated Hub-Protein Detection via a New Fused Similarity Measure-Based Multi-objective Clustering Framework. ISBRA 2019: 138-145 - 2018
- [j6]Sayantan Mitra, Sriparna Saha, Sudipta Acharya:
Fusion of stability and multi-objective optimization for solving cancer tissue classification problem. Expert Syst. Appl. 113: 377-396 (2018) - [j5]Sriparna Saha, Sudipta Acharya, Kavya K, Saisree Miriyala:
Simultaneous Clustering and Feature Weighting Using Multiobjective Optimization for Identifying Functionally Similar miRNAs. IEEE J. Biomed. Health Informatics 22(5): 1684-1690 (2018) - 2017
- [j4]Sudipta Acharya, Sriparna Saha, N. Nikhil:
Unsupervised gene selection using biological knowledge : application in sample clustering. BMC Bioinform. 18(1): 513 (2017) - 2016
- [j3]Sriparna Saha, Kuldeep Kaushik, Abhay Kumar Alok, Sudipta Acharya:
Multi-objective semi-supervised clustering of tissue samples for cancer diagnosis. Soft Comput. 20(9): 3381-3392 (2016) - [j2]Sudipta Acharya, Sriparna Saha, Sanghamitra Bandyopadhyay:
Use of line based symmetry for developing cluster validity indices. Soft Comput. 20(9): 3461-3474 (2016) - [j1]Sudipta Acharya, Sriparna Saha, Yamini Thadisina:
Multiobjective Simulated Annealing-Based Clustering of Tissue Samples for Cancer Diagnosis. IEEE J. Biomed. Health Informatics 20(2): 691-698 (2016) - [c10]Pracheta Sahoo, Sudipta Acharya, Sriparna Saha:
Automatic generation of biclusters from gene expression data using multi-objective simulated annealing approach. ICPR 2016: 2174-2179 - [c9]Sudipta Acharya, Asif Ekbal, Sriparna Saha, Prabhakaran Santhanam, José G. Moreno, Gaël Dias:
Multi-objective Word Sense Induction Using Content and Interlink Connections. NLDB 2016: 366-375 - 2014
- [c8]Sudipta Acharya, Sriparna Saha:
Identifying Co-expressed miRNAs using Multiobjective Optimization. ICIT 2014: 245-250 - [c7]Sudipta Acharya, Sriparna Saha, José G. Moreno, Gaël Dias:
Multi-Objective Search Results Clustering. COLING 2014: 99-108 - [c6]Sudipta Acharya, Yamini Thadisina, Sriparna Saha:
Multi-objective clustering of tissue samples for cancer diagnosis. ICACCI 2014: 1059-1064 - 2013
- [c5]Sudipta Acharya, Shyamal Kr. Das Mandal:
Prosody Modeling: A Review Report on Indian Language. MIKE 2013: 831-842 - [c4]Sudipta Acharya, Shyamal Kumar Das Mandal:
Prosodic word and phrase boundary detection based on F0 contour analysis using empirical mode decomposition. O-COCOSDA/CASLRE 2013: 1-5 - [c3]Animesh Dutta, Sudipta Acharya, Aneesh Krishna, Swapan Bhattacharya:
Virtual Medical Board: A Distributed Bayesian Agent Based Approach (S). SEKE 2013: 685-688 - 2012
- [c2]Sudipta Acharya, Shyamal Kr. Das Mandal:
The intonation of Bangla sentences: Declarative, Wh-questions and yes/no by using Empirical Mode of Decomposition. IHCI 2012: 1-5 - [c1]Animesh Dutta, Prajna Devi Upadhyay, Sudipta Acharya:
Requirement Analysis and Automated Verification: A Semantic Approach. SEKE 2012: 51-54
Coauthor Index
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