Improved universum twin support vector machine. - Bharat Richhariya; A. Sharma; Muhammad Tanveer 001 (SSCI, 2018)

Entropy based fuzzy least squares twin support vector machine for class imbalance learning. - Deepak Gupta 004; Bharat Richhariya (Appl. Intell., 2018)

A robust fuzzy least squares twin support vector machine for class imbalance learning. - Bharat Richhariya; Muhammad Tanveer 001 (Appl. Soft Comput., 2018)

EEG signal classification using universum support vector machine. - Bharat Richhariya; Muhammad Tanveer 001 (Expert Syst. Appl., 2018)

Facial expression recognition using iterative universum twin support vector machine. - Bharat Richhariya; 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)

Universum least squares twin parametric-margin support vector machine. - Bharat Richhariya; Muhammad Tanveer 001 (IJCNN, 2020)

Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE). - Bharat Richhariya; Muhammad Tanveer 001; Ashraf Haroon Rashid; Alzheimer's Disease Neuroimaging Initiative (Biomed. Signal Process. Control., 2020)

Least squares projection twin support vector clustering (LSPTSVC). - Bharat Richhariya; Muhammad Tanveer 001; Alzheimer's Disease Neuroimaging Initiative (Inf. Sci., 2020)

Lagrangian twin parametric insensitive support vector regression (LTPISVR). - Deepak Gupta 004; Kamalini Acharjee; Bharat Richhariya (Neural Comput. Appl., 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 001 (Neural Networks, 2020)

A reduced universum twin support vector machine for class imbalance learning. - Bharat Richhariya; Muhammad Tanveer 001 (Pattern Recognit., 2020)

Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review. - Muhammad Tanveer 001; Bharat Richhariya; Riyaj Uddin Khan; Ashraf Haroon Rashid; Pritee Khanna; Mukesh Prasad; Chin-Teng Lin (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems. - Deepak Gupta 004; Bharat Richhariya (Ann. Math. Artif. Intell., 2021)

Sparse Twin Support Vector Clustering Using Pinball Loss. - Muhammad Tanveer 001; Tarun Gupta; Miten Shah; Bharat Richhariya (IEEE J. Biomed. Health Informatics, 2021)

An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification. - Bharat Richhariya; Mohammad Tanveer 001 (ACM Trans. Internet Techn., 2021)

A fuzzy universum least squares twin support vector machine (FULSTSVM). - Bharat Richhariya; Muhammad Tanveer 001 (Neural Comput. Appl., 2022)

Projection based fuzzy least squares twin support vector machine for class imbalance problems. - Mohammad Tanveer 001; Ritik Mishra; Bharat Richhariya (CoRR, 2023)

Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach. - Muhammad Tanveer 001; Ritik Mishra; Bharat Richhariya (Neurocomputing, 2024)

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)