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 | 126 | 2018 |
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 | 123 | 2018 |
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 | 51 | 2019 |
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 | 33 | 2019 |
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 | 26 | 2016 |
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 | 25 | 2020 |
Intelligent condition-based monitoring techniques for bearing fault diagnosis V Singh, NK Verma IEEE Sensors Journal 21 (14), 15448-15457, 2020 | 24 | 2020 |
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 | 16 | 2020 |
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 | 16 | 2019 |
Fuzzy inference network with mamdani fuzzy inference system NK Verma, V Singh, S Rajurkar, M Aqib Computational Intelligence: Theories, Applications and Future Directions …, 2019 | 15 | 2019 |
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 | 15 | 2019 |
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 | 14 | 2018 |
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 | 14 | 2018 |
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 | 13 | 2018 |
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 | 11 | 2019 |
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 | 10 | 2016 |
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 | 9 | 2021 |
An entropy-based variable feature weighted fuzzy k-means algorithm for high dimensional data V Singh, NK Verma arXiv preprint arXiv:1912.11209, 2019 | 8 | 2019 |
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 | 8 | 2017 |
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 | 7 | 2019 |