Bharat Richhariya

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Biomedical Data

Class Imbalance

Top Venues

Neural Comput. Appl.

Appl. Soft Comput.

Ann. Math. Artif. Intell.

Biomed. Signal Process. Control.

Publications

Muhammad Tanveer, Ritik Mishra, Bharat Richhariya
Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach. Neurocomputing 591 (2024)
Mohammad Tanveer, Ritik Mishra, Bharat Richhariya
Projection based fuzzy least squares twin support vector machine for class imbalance problems. CoRR (2023)
Bharat Richhariya, Muhammad Tanveer
A fuzzy universum least squares twin support vector machine (FULSTSVM). Neural Comput. Appl. 34 (14) (2022)
Muhammad Tanveer, Tarun Gupta, Miten Shah, Bharat Richhariya
Sparse Twin Support Vector Clustering Using Pinball Loss. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Deepak Gupta, Bharat Richhariya
Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems. Ann. Math. Artif. Intell. 89 (3-4) (2021)
Bharat Richhariya, Mohammad Tanveer
An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification. ACM Trans. Internet Techn. 21 (3) (2021)
Bharat Richhariya, Muhammad Tanveer, A. H. Rashid, Alzheimer's Disease Neuroimaging Initiative
Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE). Biomed. Signal Process. Control. 59 (2020)
Bharat Richhariya, Muhammad Tanveer
A reduced universum twin support vector machine for class imbalance learning. Pattern Recognit. 102 (2020)
Bharat Richhariya, Muhammad Tanveer
Universum least squares twin parametric-margin support vector machine. IJCNN (2020)
Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, Hari Mohan Pandey, Shuihua Wang, Muhammad Tanveer
Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks 123 (2020)
Bharat Richhariya, Muhammad Tanveer, Alzheimer's Disease Neuroimaging Initiative
Least squares projection twin support vector clustering (LSPTSVC). Inf. Sci. 533 (2020)
Muhammad Tanveer, Bharat Richhariya, Riyaj Uddin Khan, A. H. Rashid, Pritee Khanna, Mukesh Prasad, C. T. Lin
Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review. ACM Trans. Multim. Comput. Commun. Appl. 16 (Special) (2020)
Deepak Gupta, Kamalini Acharjee, Bharat Richhariya
Lagrangian twin parametric insensitive support vector regression (LTPISVR). Neural Comput. Appl. 32 (10) (2020)
Deepak Gupta, Bharat Richhariya, Parashjyoti Borah
A fuzzy twin support vector machine based on information entropy for class imbalance learning. Neural Comput. Appl. 31 (11) (2019)
Bharat Richhariya, Deepak Gupta
Facial expression recognition using iterative universum twin support vector machine. Appl. Soft Comput. 76 (2019)
Bharat Richhariya, A. Sharma, Muhammad Tanveer
Improved universum twin support vector machine. SSCI (2018)
Bharat Richhariya, Muhammad Tanveer
A robust fuzzy least squares twin support vector machine for class imbalance learning. Appl. Soft Comput. 71 (2018)
Bharat Richhariya, Muhammad Tanveer
EEG signal classification using universum support vector machine. Expert Syst. Appl. 106 (2018)
Deepak Gupta, Bharat Richhariya
Entropy based fuzzy least squares twin support vector machine for class imbalance learning. Appl. Intell. 48 (11) (2018)