| Machine learning techniques for the diagnosis of Alzheimer’s disease: A review M Tanveer, B Richhariya, RU Khan, AH Rashid, P Khanna, M Prasad, ... ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 444 | 2020 |
| EEG signal classification using universum support vector machine B Richhariya, M Tanveer Expert Systems with Applications 106, 169-182, 2018 | 279 | 2018 |
| Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE) B Richhariya, M Tanveer, AH Rashid, ... Biomedical Signal Processing and Control 59, 101903, 2020 | 169 | 2020 |
| A reduced universum twin support vector machine for class imbalance learning B Richhariya, M Tanveer Pattern Recognition 102, 107150, 2020 | 130 | 2020 |
| A fuzzy twin support vector machine based on information entropy for class imbalance learning D Gupta, B Richhariya, P Borah Neural Computing and Applications 31 (11), 7153-7164, 2019 | 91 | 2019 |
| A robust fuzzy least squares twin support vector machine for class imbalance learning B Richhariya, M Tanveer Applied Soft Computing 71, 418-432, 2018 | 73 | 2018 |
| Facial expression recognition using iterative universum twin support vector machine B Richhariya, D Gupta Applied Soft Computing 76, 53-67, 2019 | 63 | 2019 |
| Entropy based fuzzy least squares twin support vector machine for class imbalance learning D Gupta, B Richhariya Applied Intelligence 48 (11), 4212-4231, 2018 | 60 | 2018 |
| An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification B Richhariya, M Tanveer, ADN Initiative ACM Transactions on Internet Technology (TOIT) 21 (3), 1-24, 2021 | 30 | 2021 |
| A fuzzy universum least squares twin support vector machine (FULSTSVM) B Richhariya, M Tanveer Neural Computing and Applications, 1-12, 2021 | 27 | 2021 |
| Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data C Gautam, PK Mishra, A Tiwari, B Richhariya, HM Pandey, S Wang, ... Neural Networks 123, 191-216, 2020 | 27 | 2020 |
| Improved universum twin support vector machine B Richhariya, A Sharma, M Tanveer 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2045-2052, 2018 | 22 | 2018 |
| Least squares projection twin support vector clustering (LSPTSVC) B Richhariya, M Tanveer, Alzheimer’s Disease Neuroimaging Initiative Information Sciences 533, 1-23, 2020 | 21 | 2020 |
| Sparse twin support vector clustering using pinball loss M Tanveer, T Gupta, M Shah, B Richhariya IEEE Journal of Biomedical and Health Informatics 25 (10), 3776-3783, 2021 | 18 | 2021 |
| Lagrangian twin parametric insensitive support vector regression (LTPISVR) D Gupta, K Acharjee, B Richhariya Neural Computing and Applications 32, 5989-6007, 2020 | 12 | 2020 |
| A fuzzy universum support vector machine based on information entropy B Richhariya, M Tanveer Machine Intelligence and Signal Analysis, 569-582, 2019 | 12 | 2019 |
| Universum least squares twin parametric-margin support vector machine B Richhariya, M Tanveer 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 10 | 2020 |
| Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems D Gupta, B Richhariya Annals of Mathematics and Artificial Intelligence 89 (3), 301-332, 2021 | 3 | 2021 |
| Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach M Tanveer, R Mishra, B Richhariya Neurocomputing, 127712, 2024 | 2 | 2024 |
| Development of robust support vector machine algorithms with biomedical applications B Richhariya Department of Mathematics, IIT Indore, 2021 | | 2021 |
M. Tanveer, IEEE CIS Distinguished L...Professor and Ramanujan Fellow, IIT Indore (Some codes are available at GitHub.)iiti.ac.in의 이메일 확인됨