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ORCIDTripti Swarnkar
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2020 – today
- 2025
[j14]Sweta Padma Routray
, Saswati Mahapatra, Debasish Swapnesh Kumar Nayak, Swayamprabha Sahoo, Bhabani Shankar Das, Enketeswara Subudhi, Rajashree Panigrahy, Tripti Swarnkar:
PerSceptoMed 1.0: An advanced machine learning model for demographic-based antibiotic susceptibility prediction in Pseudomonas aeruginosa infections. Eng. Appl. Artif. Intell. 141: 109773 (2025)- 2024
- [j13]Shweta Kharya, Sunita Soni, Abhilash Pati, Amrutanshu Panigrahi, Jayant P. Giri, Hong Qin, Saurav Mallik, Debasish Swapnesh Kumar Nayak, Tripti Swarnkar:
Weighted Bayesian Belief Network for diabetics: a predictive model. Frontiers Artif. Intell. 7 (2024) - [j12]Swati Sucharita, Barnali Sahu, Tripti Swarnkar, Saroj K. Meher:
Classification of cancer microarray data using a two-step feature selection framework with moth-flame optimization and extreme learning machine. Multim. Tools Appl. 83(7): 21319-21346 (2024) - [j11]Swati Sucharita, Barnali Sahu, Tripti Swarnkar:
Efficient Gene Expression Data Analysis using ES-DBN For Microarray Cancer Data Classification. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - [j10]Sweta Padma Routray, Swayamprabha Sahoo, Debasish Swapnesh Kumar Nayak, Sejal Shah, Tripti Swarnkar:
Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis. SN Comput. Sci. 5(1): 147 (2024) - [j9]Debasish Swapnesh Kumar Nayak, Arpita Priyadarshini, Pabani Mahanta, Tejaswini Das, Santanu Kumar Sahoo, Tripti Swarnkar:
DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection. SN Comput. Sci. 5(8): 1091 (2024) - 2022
- [j8]Santisudha Panigrahi, Jayshankar Das, Tripti Swarnkar:
Capsule network based analysis of histopathological images of oral squamous cell carcinoma. J. King Saud Univ. Comput. Inf. Sci. 34(7): 4546-4553 (2022) - 2021
- [j7]Priyadarshini Adyasha Pattanaik, Tripti Swarnkar, Debabala Swain:
Deep filter bridge for malaria identification and classification in microscopic blood smear images. Int. J. Adv. Intell. Paradigms 20(1/2): 126-137 (2021) - [c9]Saswati Mahapatra, Rajendra Prasath, Tripti Swarnkar:
Integrative Analysis of miRNA-mRNA Expression Data to Identify miRNA-Targets for Oral Cancer. MIKE 2021: 24-32 - [c8]Shreerudra Pratik, Debasish Swapnesh Kumar Nayak, Rajendra Prasath, Tripti Swarnkar:
Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach. MIKE 2021: 199-209 - 2020
- [j6]Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar:
Elitism based Multi-Objective Differential Evolution for feature selection: A filter approach with an efficient redundancy measure. J. King Saud Univ. Comput. Inf. Sci. 32(2): 174-187 (2020)
2010 – 2019
- 2019
- [j5]Priyadarshini Adyasha Pattanaik, Tripti Swarnkar:
Vision-based malaria parasite image analysis: a systematic review. Int. J. Bioinform. Res. Appl. 15(1): 1-32 (2019) - [c7]Santisudha Panigrahi, Tripti Swarnkar:
Automated Classification of Oral Cancer Histopathology images using Convolutional Neural Network. BIBM 2019: 1232-1234 - [c6]Namrata P. Mohanty, Sweta Shree Dash, Sandeep Sobhan, Tripti Swarnkar:
Prediction of Depression Using EEG: A Comparative Study. ICACIE (2) 2019: 3-11 - [c5]Santisudha Panigrahi, Juber Rahmen, Swagatika Panda, Tripti Swarnkar:
Fractal Geometry for Early Detection and Histopathological Analysis of Oral Cancer. MIKE 2019: 177-185 - 2018
- [j4]Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar:
Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique. Connect. Sci. 30(4): 362-387 (2018) - [j3]Priyadarshini Adyasha Pattanaik, Tripti Swarnkar:
Comparative Analysis of Morphological Techniques for Malaria Detection. Int. J. Heal. Inf. Syst. Informatics 13(4): 49-65 (2018) - 2017
- [j2]Bijeta Mandal, Saswati Mahapatra, Tripti Swarnkar:
Comparative Study of Computational Tools for Hub Gene Selection from Genetic Network using Microarray Data. POLIBITS 55: 73-79 (2017) - [c4]Priyadarshini Adyasha Pattanaik, Tripti Swarnkar, Debdoot Sheet:
Object detection technique for malaria parasite in thin blood smear images. BIBM 2017: 2120-2123 - [c3]Subhalaxmi Panda, Priyadarshini Adyasha Pattanaik, Tripti Swarnkar:
A Higher Education Predictive Model Using Data Mining Techniques. DIAS/EDUDM@ISEC 2017 - 2015
- [j1]Tripti Swarnkar, Sérgio Nery Simões, Anji Anurak, Helena Paula Brentani, Jyotirmoy Chatterjee, Ronaldo Fumio Hashimoto, David Correa Martins, Pabitra Mitra:
Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 33 (2015) - 2014
- [c2]Tripti Swarnkar, Sérgio Nery Simões, David Correa Martins, Anji Anurak, Helena Paula Brentani, Ronaldo Fumio Hashimoto, Pabitra Mitra:
Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data. BIBE 2014: 15-22 - 2012
- [c1]Tripti Swarnkar, Pabitra Mitra:
Graph based unsupervised feature selection for microarray data. BIBM Workshops 2012: 750-751
Coauthor Index
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