Tripti Swarnkar

26 papers C 1Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer.
Comput. Biol. Chem.
Debasish Swapnesh Kumar Nayak, Ruchika Das, Santanu Kumar Sahoo, Tripti Swarnkar
2025 J jnl
ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli.
Int. J. Online Biomed. Eng.
Debasish Swapnesh Kumar Nayak, Arpita Priyadarshini, Sweta Padma Routray, Santanu Kumar Sahoo, Tripti Swarnkar
2025 J jnl
Data-GAN Augmentation Techniques in Medical Image Analysis: A Deep Survey.
SN Comput. Sci.
Archana Dash, Tripti Swarnkar
2025 J jnl
PerSceptoMed 1.0: An advanced machine learning model for demographic-based antibiotic susceptibility prediction in Pseudomonas aeruginosa infections.
Eng. Appl. Artif. Intell.
Sweta Padma Routray, Saswati Mahapatra, Debasish Swapnesh Kumar Nayak, Swayamprabha Sahoo, Bhabani Shankar Das, Enketeswara Subudhi, Rajashree Panigrahy, Tripti Swarnkar
2024 J jnl
Classification of cancer microarray data using a two-step feature selection framework with moth-flame optimization and extreme learning machine.
Multim. Tools Appl.
Swati Sucharita, Barnali Sahu, Tripti Swarnkar, Saroj K. Meher
2024 J jnl
DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection.
SN Comput. Sci.
Debasish Swapnesh Kumar Nayak, Arpita Priyadarshini, Pabani Mahanta, Tejaswini Das, Santanu Kumar Sahoo, Tripti Swarnkar
2024 J jnl
Efficient Gene Expression Data Analysis using ES-DBN For Microarray Cancer Data Classification.
EAI Endorsed Trans. Pervasive Health Technol.
Swati Sucharita, Barnali Sahu, Tripti Swarnkar
2024 J jnl
Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis.
SN Comput. Sci.
Sweta Padma Routray, Swayamprabha Sahoo, Debasish Swapnesh Kumar Nayak, Sejal Shah, Tripti Swarnkar
2024 J jnl
Weighted Bayesian Belief Network for diabetics: a predictive model.
Frontiers Artif. Intell.
Shweta Kharya, Sunita Soni, Abhilash Pati, Amrutanshu Panigrahi, Jayant P. Giri, Hong Qin, Saurav Mallik, Debasish Swapnesh Kumar Nayak, Tripti Swarnkar
2022 J jnl
Capsule network based analysis of histopathological images of oral squamous cell carcinoma.
J. King Saud Univ. Comput. Inf. Sci.
Santisudha Panigrahi, Jayshankar Das, Tripti Swarnkar
2021 J jnl
Deep filter bridge for malaria identification and classification in microscopic blood smear images.
Int. J. Adv. Intell. Paradigms
Priyadarshini Adyasha Pattanaik, Tripti Swarnkar, Debabala Swain
2021 — conf
Integrative Analysis of miRNA-mRNA Expression Data to Identify miRNA-Targets for Oral Cancer.
MIKE
Saswati Mahapatra, Rajendra Prasath, Tripti Swarnkar
2021 — conf
Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach.
MIKE
Shreerudra Pratik, Debasish Swapnesh Kumar Nayak, Rajendra Prasath, Tripti Swarnkar
2020 J jnl
Elitism based Multi-Objective Differential Evolution for feature selection: A filter approach with an efficient redundancy measure.
J. King Saud Univ. Comput. Inf. Sci.
Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar
2019 — conf
Automated Classification of Oral Cancer Histopathology images using Convolutional Neural Network.
BIBM
Santisudha Panigrahi, Tripti Swarnkar
2019 — conf
Fractal Geometry for Early Detection and Histopathological Analysis of Oral Cancer.
MIKE
Santisudha Panigrahi, Juber Rahmen, Swagatika Panda, Tripti Swarnkar
2019 — conf
Prediction of Depression Using EEG: A Comparative Study.
ICACIE (2)
Namrata P. Mohanty, Sweta Shree Dash, Sandeep Sobhan, Tripti Swarnkar
2019 J jnl
Vision-based malaria parasite image analysis: a systematic review.
Int. J. Bioinform. Res. Appl.
Priyadarshini Adyasha Pattanaik, Tripti Swarnkar
2018 J jnl
Comparative Analysis of Morphological Techniques for Malaria Detection.
Int. J. Heal. Inf. Syst. Informatics
Priyadarshini Adyasha Pattanaik, Tripti Swarnkar
2018 J jnl
Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique.
Connect. Sci.
Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar
2017 — conf
A Higher Education Predictive Model Using Data Mining Techniques.
DIAS/EDUDM@ISEC
Subhalaxmi Panda, Priyadarshini Adyasha Pattanaik, Tripti Swarnkar
2017 J jnl
Comparative Study of Computational Tools for Hub Gene Selection from Genetic Network using Microarray Data.
POLIBITS
Bijeta Mandal, Saswati Mahapatra, Tripti Swarnkar
2017 — conf
Object detection technique for malaria parasite in thin blood smear images.
BIBM
Priyadarshini Adyasha Pattanaik, Tripti Swarnkar, Debdoot Sheet
2015 J jnl
Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data.
Netw. Model. Anal. Health Informatics Bioinform.
Tripti Swarnkar, Sérgio Nery Simões, Anji Anura, Helena Paula Brentani, Jyotirmoy Chatterjee, Ronaldo Fumio Hashimoto, David Correa Martins, Pabitra Mitra
2014 C conf
Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data.
BIBE
Tripti Swarnkar, Sérgio Nery Simões, David Correa Martins, Anji Anura, Helena Paula Brentani, Ronaldo Fumio Hashimoto, Pabitra Mitra
2012 — conf
Graph based unsupervised feature selection for microarray data.
BIBM Workshops
Tripti Swarnkar, Pabitra Mitra