Parashjyoti Borah

According to our database, Parashjyoti Borah authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fuzzy twin kernel ridge regression classifiers for liver disorder detection.

Deepak Gupta, Barenya Bikash Hazarika, Parashjyoti Borah

Int. J. Bus. Intell. Data Min., 2024

Conditional Probability-Based Feature Embedding for Genomic Sequence Data.

Parashjyoti Borah, Aparajita Dutta

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning.

Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah

Knowl. Inf. Syst., December, 2023

Robust support vector quantile regression with truncated pinball loss (RSVQR).

Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah

Comput. Appl. Math., September, 2023

2022

Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis.

Deepak Gupta, Parashjyoti Borah, Usha Mary Sharma, Mukesh Prasad

Neural Comput. Appl., 2022

Affinity and transformed class probability-based fuzzy least squares support vector machines.

Parashjyoti Borah, Deepak Gupta

Fuzzy Sets Syst., 2022

2021

An intuitionistic fuzzy kernel ridge regression classifier for binary classification.

Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah

Appl. Soft Comput., 2021

Robust twin bounded support vector machines for outliers and imbalanced data.

Parashjyoti Borah, Deepak Gupta

Appl. Intell., 2021

2020

Functional iterative approaches for solving support vector classification problems based on generalized Huber loss.

Parashjyoti Borah, Deepak Gupta

Neural Comput. Appl., 2020

Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC).

Parashjyoti Borah, Deepak Gupta

Appl. Intell., 2020

2019

A fuzzy twin support vector machine based on information entropy for class imbalance learning.

Deepak Gupta, Bharat Richhariya, Parashjyoti Borah

Neural Comput. Appl., 2019

Unconstrained convex minimization based implicit Lagrangian twin random vector Functional-link networks for binary classification (ULTRVFLC).

Parashjyoti Borah, Deepak Gupta

Appl. Soft Comput., 2019

2018

Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine.

Parashjyoti Borah, Deepak Gupta, Mukesh Prasad

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM).

Deepak Gupta, Parashjyoti Borah, Mukesh Prasad

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017