Chakresh Kumar Jain

According to our database1, Chakresh Kumar Jain authored at least 15 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Multimedia in search-based software engineering: challenges and opportunities within a new research domain.
Multim. Tools Appl., 2022

Predicting liver cancer on epigenomics data using machine learning.
Frontiers Bioinform., 2022

2021
Improving Gene Expression Prediction of Cancer Data Using Nature Inspired Optimization Algorithms.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020
Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models.
Frontiers Artif. Intell., 2020

Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization.
CoRR, 2020

Improving Prediction Accuracy of Microarray Cancer Data with Non-negative Matrix Factorization and Its Variant.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018
Using Deep Learning to Classify X-ray Images of Potential Tuberculosis Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Markov blanket: Efficient strategy for feature subset selection method for high dimensional microarray cancer datasets.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Protein-protein interaction and molecular dynamics analysis for identification of novel inhibitors in Burkholderia cepacia GG4.
Comput. Biol. Chem., 2016

Improved microarray data analysis using feature selection methods with machine learning methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Variance Based Particle Swarm Optimization for Function Optimization and Feature Selection.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2015

2013
Putative drug targets in Rhizopus oryzae: in-silico insight.
Int. J. Bioinform. Res. Appl., 2013

2010
SVM Classifier Based Feature Selection Using GA, ACO and PSO for siRNA Design.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

Modeling for Evaluation of Significant Features in siRNA Design.
Proceedings of the Contemporary Computing - Third International Conference, 2010

2009
Feature Selection for siRNA Efficacy Prediction using Natural Computation.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009


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