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Vikas Singh, PhD
Vikas Singh, PhD
Gwangju Institute of Science and Technology South Korea
Verified email at gist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Transfer learning for molecular cancer classification using deep neural networks
RK Sevakula, V Singh, NK Verma, C Kumar, Y Cui
IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018
1222018
Adaptive type-2 fuzzy approach for filtering salt and pepper noise in grayscale images
V Singh, R Dev, NK Dhar, P Agrawal, NK Verma
IEEE transactions on fuzzy systems 26 (5), 3170-3176, 2018
1182018
Condition monitoring of machines using fused features from EMD-based local energy with DNN
S Maurya, V Singh, NK Verma
IEEE Sensors Journal 20 (15), 8316-8327, 2019
492019
Fuzzy based pooling in convolutional neural network for image classification
T Sharma, V Singh, S Sudhakaran, NK Verma
2019 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2019
312019
Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction
V Singh, N Baranwal, RK Sevakula, NK Verma, Y Cui
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
262016
Intelligent condition-based monitoring techniques for bearing fault diagnosis
V Singh, NK Verma
IEEE Sensors Journal 21 (14), 15448-15457, 2020
222020
Condition-based monitoring in variable machine running conditions using low-level knowledge transfer with DNN
S Maurya, V Singh, NK Verma, CK Mechefske
IEEE Transactions on Automation Science and Engineering 18 (4), 1983-1997, 2020
212020
Aerodynamic modeling of attas aircraft using Mamdani fuzzy inference network
AK Sharma, D Singh, V Singh, NK Verma
IEEE Transactions on Aerospace and Electronic Systems 56 (5), 3566-3576, 2020
152020
Type-2 fuzzy PCA approach in extracting salient features for molecular cancer diagnostics and prognostics
V Singh, NK Verma, Y Cui
IEEE Transactions on Nanobioscience 18 (3), 482-489, 2019
152019
Fuzzy inference network with mamdani fuzzy inference system
NK Verma, V Singh, S Rajurkar, M Aqib
Computational Intelligence: Theories, Applications and Future Directions …, 2019
152019
Feature learning using stacked autoencoder for shared and multimodal fusion of medical images
V Singh, NK Verma, Z Ul Islam, Y Cui
Computational Intelligence: Theories, Applications and Future Directions …, 2019
152019
Fusion of low-level features with stacked autoencoder for condition based monitoring of machines
S Maurya, V Singh, S Dixit, NK Verma, A Salour, J Liu
2018 IEEE International Conference on Prognostics and Health Management …, 2018
142018
Condition based monitoring of machine using Mamdani fuzzy network
AK Sharma, V Singh, NK Verma, J Liu
2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018
132018
Deep learning architecture for high-level feature generation using stacked auto encoder for business intelligence
V Singh, NK Verma
Complex Systems: Solutions and Challenges in Economics, Management and …, 2018
122018
Improved EMD local energy with SVM for fault diagnosis in air compressor
S Maurya, V Singh, NK Dhar, NK Verma
Computational Intelligence: Theories, Applications and Future Directions …, 2019
92019
BIDEAL: a toolbox for bicluster analysis—generation, visualization and validation
NK Verma, T Sharma, S Dixit, P Agrawal, S Sengupta, V Singh
SN Computer Science 2, 1-15, 2021
82021
Deep stacked auto-encoder with deep fuzzy network for transcriptome based tumor type classification
S Rajurkar, V Singh, NK Verma, Y Cui
BMC Bioinformatics 18, 388, 2017
82017
Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce
V Singh, RK Gupta, RK Sevakula, NK Verma
2016 11th International Conference on Industrial and Information Systems …, 2016
82016
An entropy-based variable feature weighted fuzzy k-means algorithm for high dimensional data
V Singh, NK Verma
arXiv preprint arXiv:1912.11209, 2019
72019
A type-2 fuzzy systems approach for clustering-based identification of a TS regression model
H Bharadhwaj, V Singh, NK Verma
Computational Intelligence: Theories, Applications and Future Directions …, 2019
72019
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