Parashjyoti Borah

Orcid: 0000-0002-6158-9504

According to our database1, Parashjyoti Borah authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fuzzy twin kernel ridge regression classifiers for liver disorder detection.
Int. J. Bus. Intell. Data Min., 2024

2023
Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning.
Knowl. Inf. Syst., December, 2023

Robust support vector quantile regression with truncated pinball loss (RSVQR).
Comput. Appl. Math., September, 2023

2022
Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis.
Neural Comput. Appl., 2022

Affinity and transformed class probability-based fuzzy least squares support vector machines.
Fuzzy Sets Syst., 2022

2021
An intuitionistic fuzzy kernel ridge regression classifier for binary classification.
Appl. Soft Comput., 2021

Robust twin bounded support vector machines for outliers and imbalanced data.
Appl. Intell., 2021

2020
Functional iterative approaches for solving support vector classification problems based on generalized Huber loss.
Neural Comput. Appl., 2020

Unconstrained convex minimization based implicit Lagrangian twin extreme learning machine for classification (ULTELMC).
Appl. Intell., 2020

2019
A fuzzy twin support vector machine based on information entropy for class imbalance learning.
Neural Comput. Appl., 2019

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

2018
Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM).
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017


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