Graph based unsupervised feature selection for microarray data. - Tripti Swarnkar; Pabitra Mitra (BIBM Workshops, 2012)

Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data. - Tripti Swarnkar; Sérgio Nery Simões; David Correa Martins; Anji Anurak; Helena Paula Brentani; Ronaldo Fumio Hashimoto; Pabitra Mitra (BIBE, 2014)

Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data. - Tripti Swarnkar; Sérgio Nery Simões; Anji Anurak; Helena Paula Brentani; Jyotirmoy Chatterjee; Ronaldo Fumio Hashimoto; David Correa Martins; Pabitra Mitra (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Object detection technique for malaria parasite in thin blood smear images. - Priyadarshini Adyasha Pattanaik; Tripti Swarnkar; Debdoot Sheet (BIBM, 2017)

A Higher Education Predictive Model Using Data Mining Techniques. - Subhalaxmi Panda; Priyadarshini Adyasha Pattanaik; Tripti Swarnkar (DIAS/EDUDM@ISEC, 2017)

Comparative Study of Computational Tools for Hub Gene Selection from Genetic Network using Microarray Data. - Bijeta Mandal; Saswati Mahapatra; Tripti Swarnkar (POLIBITS, 2017)

Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique. - Subrat Kumar Nayak; Pravat Kumar Rout; Alok Kumar Jagadev; Tripti Swarnkar (Connect. Sci., 2018)

Comparative Analysis of Morphological Techniques for Malaria Detection. - Priyadarshini Adyasha Pattanaik; Tripti Swarnkar (Int. J. Heal. Inf. Syst. Informatics, 2018)

Automated Classification of Oral Cancer Histopathology images using Convolutional Neural Network. - Santisudha Panigrahi; Tripti Swarnkar (BIBM, 2019)

Prediction of Depression Using EEG: A Comparative Study. - Namrata P. Mohanty; Sweta Shree Dash; Sandeep Sobhan; Tripti Swarnkar (ICACIE (2), 2019)

Fractal Geometry for Early Detection and Histopathological Analysis of Oral Cancer. - Santisudha Panigrahi; Juber Rahmen; Swagatika Panda; Tripti Swarnkar (MIKE, 2019)

Vision-based malaria parasite image analysis: a systematic review. - Priyadarshini Adyasha Pattanaik; Tripti Swarnkar (Int. J. Bioinform. Res. Appl., 2019)

Elitism based Multi-Objective Differential Evolution for feature selection: A filter approach with an efficient redundancy measure. - Subrat Kumar Nayak; Pravat Kumar Rout; Alok Kumar Jagadev; Tripti Swarnkar (J. King Saud Univ. Comput. Inf. Sci., 2020)

Integrative Analysis of miRNA-mRNA Expression Data to Identify miRNA-Targets for Oral Cancer. - Saswati Mahapatra; Rajendra Prasath; Tripti Swarnkar (MIKE, 2021)

Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach. - Shreerudra Pratik; Debasish Swapnesh Kumar Nayak; Rajendra Prasath; Tripti Swarnkar (MIKE, 2021)

Deep filter bridge for malaria identification and classification in microscopic blood smear images. - Priyadarshini Adyasha Pattanaik; Tripti Swarnkar; Debabala Swain (Int. J. Adv. Intell. Paradigms, 2021)

Capsule network based analysis of histopathological images of oral squamous cell carcinoma. - Santisudha Panigrahi; Jayshankar Das; Tripti Swarnkar (J. King Saud Univ. Comput. Inf. Sci., 2022)

Weighted Bayesian Belief Network for diabetics: a predictive model. - Shweta Kharya; Sunita Soni; Abhilash Pati; Amrutanshu Panigrahi; Jayant P. Giri; Hong Qin 003; Saurav Mallik; Debasish Swapnesh Kumar Nayak; Tripti Swarnkar (Frontiers Artif. Intell., 2024)

Classification of cancer microarray data using a two-step feature selection framework with moth-flame optimization and extreme learning machine. - Swati Sucharita; Barnali Sahu; Tripti Swarnkar; Saroj K. Meher (Multim. Tools Appl., 2024)

Efficient Gene Expression Data Analysis using ES-DBN For Microarray Cancer Data Classification. - Swati Sucharita; Barnali Sahu; Tripti Swarnkar (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis. - Sweta Padma Routray; Swayamprabha Sahoo; Debasish Swapnesh Kumar Nayak; Sejal Shah; Tripti Swarnkar (SN Comput. Sci., 2024)

DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection. - Debasish Swapnesh Kumar Nayak; Arpita Priyadarshini; Pabani Mahanta; Tejaswini Das; Santanu Kumar Sahoo; Tripti Swarnkar (SN Comput. Sci., 2024)

ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer. - Debasish Swapnesh Kumar Nayak; Ruchika Das; Santanu Kumar Sahoo; Tripti Swarnkar (Comput. Biol. Chem., 2025)

PerSceptoMed 1.0: An advanced machine learning model for demographic-based antibiotic susceptibility prediction in Pseudomonas aeruginosa infections. - Sweta Padma Routray; Saswati Mahapatra; Debasish Swapnesh Kumar Nayak; Swayamprabha Sahoo; Bhabani Shankar Das; Enketeswara Subudhi; Rajashree Panigrahy; Tripti Swarnkar (Eng. Appl. Artif. Intell., 2025)

ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli. - Debasish Swapnesh Kumar Nayak; Arpita Priyadarshini; Sweta Padma Routray; Santanu Kumar Sahoo; Tripti Swarnkar (Int. J. Online Biomed. Eng., 2025)

Data-GAN Augmentation Techniques in Medical Image Analysis: A Deep Survey. - Archana Dash; Tripti Swarnkar (SN Comput. Sci., 2025)