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of 25
pro vyhledávání: '"Karmakar, Saurav"'
Named Entity Recognition (NER) models play a crucial role in various NLP tasks, including information extraction (IE) and text understanding. In academic writing, references to machine learning models and datasets are fundamental components of variou
Externí odkaz:
http://arxiv.org/abs/2311.09860
Autor:
Bhattacharyya, Neha, Mukherjee, Dipanjan, Singh, Soumendra, Ghosh, Ria, Karmakar, Saurav, Mallick, Ankita, Chattopadhyay, Arpita, Mondal, Pulak, Mondal, Tapan, Bhattacharyya, Debasis, Mallick, Asim Kumar, Nabi, Ghulam, Pal, Samir Kumar
Publikováno v:
In Biosensors and Bioelectronics 15 December 2022 218
Akademický článek
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Autor:
Karmakar, Saurav
Publikováno v:
Computer Science Dissertations.
People have complex thoughts, and they often express their thoughts with complex sentences using natural languages. This complexity may facilitate efficient communications among the audience with the same knowledge base. But on the other hand, for a
Autor:
KARMAKAR, SAURAV1 srv716@gmail.com, KHAN, DAWOOD2, DAS, ASIM KUMAR1, CHATTERJEE, UDAY SANKAR3, MONDAL, TAPAN KUMAR4
Publikováno v:
Journal of Clinical & Diagnostic Research. Sep2023, Vol. 17 Issue 9, p1-3. 3p.
Statistical Stability and Biological Validity of Clustering Algorithms for Analyzing Microarray Data
Autor:
Karmakar, Saurav
Publikováno v:
Mathematics Theses.
Simultaneous measurement of the expression levels of thousands to ten thousand genes in multiple tissue types is a result of advancement in microarray technology. These expression levels provide clues about the gene functions and that have enabled be
Statistical Stability and Biological Validity of Clustering Algorithms for Analyzing Microarray Data
Autor:
Karmakar, Saurav
Publikováno v:
Mathematics Theses.
Simultaneous measurement of the expression levels of thousands to ten thousand genes in multiple tissue types is a result of advancement in microarray technology. These expression levels provide clues about the gene functions and that have enabled be
Akademický článek
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Autor:
Karmakar, Saurav, Zhu, Ying
Publikováno v:
2012 IEEE International Conference on Information Science & Technology; 1/ 1/2012, p702-706, 5p
Autor:
Karmakar, Saurav, Zhu, Ying
Publikováno v:
2011 11th International Conference on Hybrid Intelligent Systems (HIS); 2011, p728-733, 6p