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Tripti Swarnkar
Tripti Swarnkar
Professor of Computer Applications, National Institute of Technology (NITRR) Raipur CG
Verified email at nitrr.ac.in
Title
Cited by
Cited by
Year
Filter versus wrapper feature subset selection in large dimensionality micro array: A review
B Kumari, T Swarnkar
International Journal of Computer Science and Information Technologies 2 (3 …, 2011
1022011
Wavelet transform and deep convolutional neural network-based smart healthcare system for gastrointestinal disease detection
S Mohapatra, J Nayak, M Mishra, GK Pati, B Naik, T Swarnkar
Interdisciplinary Sciences: Computational Life Sciences 13, 212-228, 2021
462021
Deep convolutional neural network in medical image processing
S Mohapatra, T Swarnkar, J Das
Handbook of Deep Learning in Biomedical Engineering, 25-60, 2020
462020
Unified preprocessing and enhancement technique for mammogram images
S Tripathy, T Swarnkar
Procedia Computer Science 167, 285-292, 2020
442020
Elitism based multi-objective differential evolution for feature selection: A filter approach with an efficient redundancy measure
SK Nayak, PK Rout, AK Jagadev, T Swarnkar
Journal of King Saud University-Computer and Information Sciences 32 (2 …, 2020
412020
Capsule network based analysis of histopathological images of oral squamous cell carcinoma
S Panigrahi, J Das, T Swarnkar
Journal of King Saud University-Computer and Information Sciences 34 (7 …, 2022
392022
Deep Learning Approach for Image Classification
S Panigrahi, A Nanda, T Swarnkar
2018 2nd International Conference on Data Science and Business Analytics …, 2018
322018
Gastrointestinal abnormality detection and classification using empirical wavelet transform and deep convolutional neural network from endoscopic images
S Mohapatra, GK Pati, M Mishra, T Swarnkar
Ain Shams Engineering Journal 14 (4), 101942, 2023
252023
Object detection technique for malaria parasite in thin blood smear images
PA Pattanaik, T Swarnkar, D Sheet
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
232017
Automatic detection of malaria parasites using unsupervised techniques
I Mohanty, PA Pattanaik, T Swarnkar
Proceedings of the International Conference on ISMAC in Computational Vision …, 2019
202019
Machine Learning Techniques Used for the Histopathological Image Analysis of Oral Cancer-A Review
S Panigrahi, T Swarnkar
The Open Bioinformatics Journal 13 (1), 2020
192020
Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique
SK Nayak, PK Rout, AK Jagadev, T Swarnkar
Connection Science 30 (4), 362-387, 2018
172018
Biological networks integration based on dense module identification for gene prioritization from microarray data
S Mahapatra, B Mandal, T Swarnkar
Gene Reports 12, 276-288, 2018
162018
Gene selection and enrichment for microarray data—a comparative network based approach
DSK Nayak, S Mahapatra, T Swarnkar
Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2018
152018
Performance observation of mammograms using an improved dynamic window based adaptive median filter
S Tripathy, T Swarnkar
Journal of Discrete Mathematical Sciences and Cryptography 23 (1), 167-175, 2020
142020
Integrated multiplex network based approach for hub gene identification in oral cancer
S Mahapatra, R Bhuyan, J Das, T Swarnkar
Heliyon 7 (7), 2021
132021
A comparative analysis on filtering techniques used in preprocessing of mammogram image
S Tripathy, T Swarnkar
Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2018 …, 2020
132020
Automated Classification of Oral Cancer Histopathology images using Convolutional Neural Network
S Panigrahi, T Swarnkar
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
122019
Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data
T Swarnkar, SN Simoes, A Anura, H Brentani, J Chatterjee, RF Hashimoto, ...
Network Modeling Analysis in Health Informatics and Bioinformatics 4, 1-18, 2015
122015
Graph-based unsupervised feature selection and multiview clustering for microarray data
T Swarnkar, P Mitra
Journal of biosciences 40, 755-767, 2015
122015
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