A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM). - Deepak Gupta 004; Parashjyoti Borah; Mukesh Prasad (SSCI, 2017)

Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine. - Parashjyoti Borah; Deepak Gupta 004; Mukesh Prasad (SSCI, 2018)

Unconstrained convex minimization based implicit Lagrangian twin random vector Functional-link networks for binary classification (ULTRVFLC). - Parashjyoti Borah; Deepak Gupta 004 (Appl. Soft Comput., 2019)

A fuzzy twin support vector machine based on information entropy for class imbalance learning. - Deepak Gupta 004; Bharat Richhariya; Parashjyoti Borah (Neural Comput. Appl., 2019)

Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC). - Parashjyoti Borah; Deepak Gupta 004 (Appl. Intell., 2020)

Functional iterative approaches for solving support vector classification problems based on generalized Huber loss. - Parashjyoti Borah; Deepak Gupta 004 (Neural Comput. Appl., 2020)

Robust twin bounded support vector machines for outliers and imbalanced data. - Parashjyoti Borah; Deepak Gupta 004 (Appl. Intell., 2021)

An intuitionistic fuzzy kernel ridge regression classifier for binary classification. - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Appl. Soft Comput., 2021)

Affinity and transformed class probability-based fuzzy least squares support vector machines. - Parashjyoti Borah; Deepak Gupta 004 (Fuzzy Sets Syst., 2022)

Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis. - Deepak Gupta 004; Parashjyoti Borah; Usha Mary Sharma; Mukesh Prasad (Neural Comput. Appl., 2022)

Robust support vector quantile regression with truncated pinball loss (RSVQR). - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Comput. Appl. Math., 2023)

Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning. - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Knowl. Inf. Syst., 2023)

Conditional Probability-Based Feature Embedding for Genomic Sequence Data. - Parashjyoti Borah; Aparajita Dutta (ICPR (10), 2024)

Fuzzy twin kernel ridge regression classifiers for liver disorder detection. - Deepak Gupta 004; Barenya Bikash Hazarika; Parashjyoti Borah (Int. J. Bus. Intell. Data Min., 2024)

ConCave-Convex procedure for support vector machines with Huber loss for text classification. - Parashjyoti Borah; Deepak Gupta 004; Barenya Bikash Hazarika (Comput. Electr. Eng., 2025)

An Unconstrained Primal Based Twin Parametric Insensitive Support Vector Regression. - Deepak Gupta 004; Bharat Richhariya; Parashjyoti Borah (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2025)