Snehasis Mukhopadhyay
Overview
Explore the profile of Snehasis Mukhopadhyay including associated specialties, affiliations and a list of published articles.
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Articles
9
Citations
117
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Recent Articles
1.
Li H, Fang S, Mukhopadhyay S, Saykin A, Shen L
Proc IEEE Int Conf Big Data
. 2019 May;
2018:3513-3521.
PMID: 31061990
Machine learning algorithms and traditional data mining process usually require a large volume of data to train the algorithm-specific models, with little or no user feedback during the model building...
2.
Tilak O, Martin R, Mukhopadhyay S
IEEE Trans Syst Man Cybern B Cybern
. 2011 Sep;
41(5):1213-23.
PMID: 21925998
We discuss the application of indirect learning methods in zero-sum and identical payoff learning automata games. We propose a novel decentralized version of the well-known pursuit learning algorithm. Such a...
3.
Mukhopadhyay S, Palakal M, Maddu K
Artif Intell Med
. 2010 Apr;
49(3):145-54.
PMID: 20382004
Objectives: Biological research literature, as in many other domains of human endeavor, represents a rich, ever growing source of knowledge. An important form of such biological knowledge constitutes associations among...
4.
Kumpatla S, Mukhopadhyay S
Genome
. 2006 Jan;
48(6):985-98.
PMID: 16391668
Simple sequence repeat (SSR) markers are widely used in many plant and animal genomes due to their abundance, hypervariability, and suitability for high-throughput analysis. Development of SSR markers using molecular...
5.
Palakal M, Stephens M, Mukhopadhyay S, Raje R, Rhodes S
Proc IEEE Comput Soc Bioinform Conf
. 2005 Apr;
1:97-108.
PMID: 15838127
Accurate and computationally efficient approaches in discovering relationships between biological objects from text documents are important for biologists to develop biological models. This paper presents a novel approach to extract...
6.
Narayanasamy V, Mukhopadhyay S, Palakal M, Potter D
J Biomed Sci
. 2004 Dec;
11(6):864-73.
PMID: 15591784
Associations among biological objects such as genes, proteins, and drugs can be discovered automatically from the scientific literature. TransMiner is a system for finding associations among objects by mining the...
7.
Identification of biological relationships from text documents using efficient computational methods
Palakal M, Stephens M, Mukhopadhyay S, Raje R, Rhodes S
J Bioinform Comput Biol
. 2004 Aug;
1(2):307-42.
PMID: 15290775
The biological literature databases continue to grow rapidly with vital information that is important for conducting sound biomedical research and development. The current practices of manually searching for information and...
8.
Palakal M, Mukhopadhyay S, Mostafa J, Raje R, NCho M, Mishra S
Bioinformatics
. 2002 Oct;
18(10):1283-8.
PMID: 12376371
Motivation: As biomedical researchers are amassing a plethora of information in a variety of forms resulting from the advancements in biomedical research, there is a critical need for innovative information...
9.
Wang H, Mukhopadhyay S, Fang S
Int J Neural Syst
. 2002 Feb;
12(1):69-81.
PMID: 11852445
In recent years, systems consisting of multiple modular neural networks have attracted substantial interest in the neural networks community because of various advantages they offer over a single large monolithic...