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Bharat Richhariya
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2020 – today
- 2024
- [j16]Muhammad Tanveer
, Ritik Mishra, Bharat Richhariya:
Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach. Neurocomputing 591: 127712 (2024) - 2023
- [i1]Mohammad Tanveer, Ritik Mishra, Bharat Richhariya:
Projection based fuzzy least squares twin support vector machine for class imbalance problems. CoRR abs/2309.15886 (2023) - 2022
- [j15]Bharat Richhariya, Muhammad Tanveer
A fuzzy universum least squares twin support vector machine (FULSTSVM). Neural Comput. Appl. 34(14): 11411-11422 (2022) - 2021
- [j14]Deepak Gupta
Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems. Ann. Math. Artif. Intell. 89(3-4): 301-332 (2021) - [j13]Muhammad Tanveer
Sparse Twin Support Vector Clustering Using Pinball Loss. IEEE J. Biomed. Health Informatics 25(10): 3776-3783 (2021) - [j12]Bharat Richhariya, Mohammad Tanveer:
An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification. ACM Trans. Internet Techn. 21(3): 59:1-59:24 (2021) - 2020
- [j11]Bharat Richhariya, Muhammad Tanveer, Ashraf Haroon 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: 101903 (2020) - [j10]Bharat Richhariya, Muhammad Tanveer, Alzheimer's Disease Neuroimaging Initiative:
Least squares projection twin support vector clustering (LSPTSVC). Inf. Sci. 533: 1-23 (2020) - [j9]Deepak Gupta
Lagrangian twin parametric insensitive support vector regression (LTPISVR). Neural Comput. Appl. 32(10): 5989-6007 (2020) - [j8]Chandan Gautam
Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks 123: 191-216 (2020) - [j7]Bharat Richhariya
A reduced universum twin support vector machine for class imbalance learning. Pattern Recognit. 102: 107150 (2020) - [j6]Muhammad Tanveer, Bharat Richhariya, Riyaj Uddin Khan, Ashraf Haroon Rashid, Pritee Khanna
Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 30:1-30:35 (2020) - [c2]Bharat Richhariya, Muhammad Tanveer:
Universum least squares twin parametric-margin support vector machine. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j5]Bharat Richhariya, Deepak Gupta
Facial expression recognition using iterative universum twin support vector machine. Appl. Soft Comput. 76: 53-67 (2019) - [j4]Deepak Gupta
A fuzzy twin support vector machine based on information entropy for class imbalance learning. Neural Comput. Appl. 31(11): 7153-7164 (2019) - 2018
- [j3]Deepak Gupta
Entropy based fuzzy least squares twin support vector machine for class imbalance learning. Appl. Intell. 48(11): 4212-4231 (2018) - [j2]Bharat Richhariya
A robust fuzzy least squares twin support vector machine for class imbalance learning. Appl. Soft Comput. 71: 418-432 (2018) - [j1]Bharat Richhariya
EEG signal classification using universum support vector machine. Expert Syst. Appl. 106: 169-182 (2018) - [c1]Bharat Richhariya, A. Sharma, Muhammad Tanveer:
Improved universum twin support vector machine. SSCI 2018: 2045-2052
Coauthor Index
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