Sparse Maximum Margin Logistic Regression for Credit Scoring. - Sabyasachi Patra; Kripa Shanker; Debasis Kundu (ICDM, 2008)

Application of Variational Mode Decomposition on Speech Enhancement. - Rashmirekha Ram; Sabyasachi Patra; Mihir Narayan Mohanty (RICE, 2017)

Motif discovery in biological network using expansion tree. - Sabyasachi Patra; Anjali Mohapatra (J. Bioinform. Comput. Biol., 2018)

Detection of Intent-Matched Questions Using Machine Learning and Deep Learning Techniques. - Srikant Kumar; Anjali Mohapatra; Sabyasachi Patra; Sunakshi Mamgain (ICIT, 2019)

Protein complex prediction in interaction network based on network motif. - Sabyasachi Patra; Anjali Mohapatra (Comput. Biol. Chem., 2020)

A semantic similarity adjusted document co-citation analysis: a case of tourism supply chain. - Kamal Sanguri; Atanu Bhuyan; Sabyasachi Patra (Scientometrics, 2020)

Discovery of network motifs based on induced subgraphs using a dynamic expansion tree. - Sabyasachi Patra (Comput. Biol. Chem., 2021)

Protein complex prediction based on dense sub-graph merging. - Tushar Ranjan Sahoo; Swati Vipsita; Sabyasachi Patra (Int. J. Data Min. Bioinform., 2021)

Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations. - Kamal Sanguri; Sonali Shankar; Sushil Punia; Sabyasachi Patra (Comput. Ind. Eng., 2022)

Centrality Measures and Their Applications in Network Analysis: Unveiling Important Elements and Their Impact. - Trilochan Rout; Anjali Mohapatra; Madhabananda Kar; Sabyasachi Patra; Dillip Kumar Muduly (ICMLDE, 2023)

Forecast reconciliation in the temporal hierarchy: Special case of intermittent demand with obsolescence. - Kamal Sanguri; Sabyasachi Patra; Sushil Punia (Expert Syst. Appl., 2023)

Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks. - Tushar Ranjan Sahoo; Sabyasachi Patra; Swati Vipsita (Comput. Biol. Chem., 2023)

Intermittent demand, inventory obsolescence, and temporal aggregation forecasts. - Kamal Sanguri; Sabyasachi Patra; Konstantinos Nikolopoulos; Sushil Punia (Int. J. Prod. Res., 2024)

WE-XAI: explainable AI for CVD prediction using weighted feature selection and ensemble classifiers. - Subham Kumar Padhy; Anjali Mohapatra; Sabyasachi Patra (Netw. Model. Anal. Health Informatics Bioinform., 2025)

A lightweight efficientNetB3 explainable model for enhancing prediction of cardiac arrhythmia using ECG signals. - Subham Kumar Padhy; Anjali Mohapatra; Sabyasachi Patra (Netw. Model. Anal. Health Informatics Bioinform., 2025)