Tripti Swarnkar

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 17

Top Topics

Top Venues

J. King Saud Univ. Comput. Inf. Sci.

Int. J. Heal. Inf. Syst. Informatics

Publications

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) (2024)
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)
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) (2024)
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) (2022)
Saswati Mahapatra, Rajendra Prasath, Tripti Swarnkar
Integrative Analysis of miRNA-mRNA Expression Data to Identify miRNA-Targets for Oral Cancer. MIKE (2021)
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) (2021)
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)
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) (2020)
Santisudha Panigrahi, Tripti Swarnkar
Automated Classification of Oral Cancer Histopathology images using Convolutional Neural Network. BIBM (2019)
Namrata P. Mohanty, Sweta Shree Dash, Sandeep Sobhan, Tripti Swarnkar
Prediction of Depression Using EEG: A Comparative Study. ICACIE (2) (2019)
Priyadarshini Adyasha Pattanaik, Tripti Swarnkar
Vision-based malaria parasite image analysis: a systematic review. Int. J. Bioinform. Res. Appl. 15 (1) (2019)
Santisudha Panigrahi, Juber Rahmen, Swagatika Panda, Tripti Swarnkar
Fractal Geometry for Early Detection and Histopathological Analysis of Oral Cancer. MIKE (2019)
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) (2018)
Priyadarshini Adyasha Pattanaik, Tripti Swarnkar
Comparative Analysis of Morphological Techniques for Malaria Detection. Int. J. Heal. Inf. Syst. Informatics 13 (4) (2018)
Priyadarshini Adyasha Pattanaik, Tripti Swarnkar, Debdoot Sheet
Object detection technique for malaria parasite in thin blood smear images. BIBM (2017)
Bijeta Mandal, Saswati Mahapatra, Tripti Swarnkar
Comparative Study of Computational Tools for Hub Gene Selection from Genetic Network using Microarray Data. POLIBITS 55 (2017)
Subhalaxmi Panda, Priyadarshini Adyasha Pattanaik, Tripti Swarnkar
A Higher Education Predictive Model Using Data Mining Techniques. DIAS/EDUDM@ISEC (2017)
Tripti Swarnkar, Sérgio Nery Simões, Anji Anurak, Helena 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) (2015)
Tripti Swarnkar, Sérgio Nery Simões, David Correa Martins, Anji Anurak, Helena Brentani, Ronaldo Fumio Hashimoto, Pabitra Mitra
Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data. BIBE (2014)
Tripti Swarnkar, Pabitra Mitra
Graph based unsupervised feature selection for microarray data. BIBM Workshops (2012)