Bharat Richhariya

According to our database, Bharat Richhariya authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

2023

Projection based fuzzy least squares twin support vector machine for class imbalance problems.

Mohammad Tanveer, Ritik Mishra, Bharat Richhariya

CoRR, 2023

2022

A fuzzy universum least squares twin support vector machine (FULSTSVM).

Bharat Richhariya, Muhammad Tanveer

Neural Comput. Appl., 2022

2021

An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification.

Bharat Richhariya, Mohammad Tanveer

ACM Trans. Internet Techn., 2021

Sparse Twin Support Vector Clustering Using Pinball Loss.

Muhammad Tanveer, Tarun Gupta, Miten Shah, Bharat Richhariya

IEEE J. Biomed. Health Informatics, 2021

Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems.

Deepak Gupta, Bharat Richhariya

Ann. Math. Artif. Intell., 2021

2020

Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review.

Muhammad Tanveer, Bharat Richhariya, Riyaj Uddin Khan, Ashraf Haroon Rashid, Pritee Khanna, Mukesh Prasad, Chin-Teng Lin

ACM Trans. Multim. Comput. Commun. Appl., 2020

A reduced universum twin support vector machine for class imbalance learning.

Bharat Richhariya, Muhammad Tanveer

Pattern Recognit., 2020

Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data.

Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, Hari Mohan Pandey, Shuihua Wang, Muhammad Tanveer

Neural Networks, 2020

Lagrangian twin parametric insensitive support vector regression (LTPISVR).

Deepak Gupta, Kamalini Acharjee, Bharat Richhariya

Neural Comput. Appl., 2020

Least squares projection twin support vector clustering (LSPTSVC).

Bharat Richhariya, Muhammad Tanveer, Alzheimer's Disease Neuroimaging Initiative

Inf. Sci., 2020

Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE).

Bharat Richhariya, Muhammad Tanveer, Ashraf Haroon Rashid, Alzheimer's Disease Neuroimaging Initiative

Biomed. Signal Process. Control., 2020

Universum least squares twin parametric-margin support vector machine.

Bharat Richhariya, Muhammad Tanveer

Proceedings of the 2020 International Joint Conference on Neural Networks, 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

Facial expression recognition using iterative universum twin support vector machine.

Bharat Richhariya, Deepak Gupta

Appl. Soft Comput., 2019

2018

EEG signal classification using universum support vector machine.

Bharat Richhariya, Muhammad Tanveer

Expert Syst. Appl., 2018

A robust fuzzy least squares twin support vector machine for class imbalance learning.

Bharat Richhariya, Muhammad Tanveer

Appl. Soft Comput., 2018

Entropy based fuzzy least squares twin support vector machine for class imbalance learning.

Deepak Gupta, Bharat Richhariya

Appl. Intell., 2018

Improved universum twin support vector machine.

Bharat Richhariya, A. Sharma, Muhammad Tanveer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018