1. Hazarika, B.B., D. Gupta and N. Natarajan, 2022. Wavelet kernel least square twin support vector regression for wind speed prediction. Environ. Sci. Pollut. Res., 29: 86320-86336.
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2. Hazarika, B.B. and D. Gupta, 2022. Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. Comput. Methods Programs Biomed., Vol. 215. 10.1016/j.cmpb.2022.106622.
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3. Hazarika, B.B. and D. Gupta, 2022. MODWT—random vector functional link for river-suspended sediment load prediction. Arabian J. Geosci., 10.1007/s12517-022-10150-1.
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4. Hazarika, B.B. and D. Gupta, 2022. Affinity based fuzzy kernel ridge regression classifier for binary class imbalance learning. Eng. Appl. Artif. Intell., Vol. 117. 10.1016/j.engappai.2022.105544.
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5. Hazarika, B.B. and D. Gupta, 2022. 1-Norm random vector functional link networks for classification problems. Complex Intell. Syst., 8: 3505-3521.
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6. Hazarika, B.B., D. Gupta and P. Borah, 2021. An intuitionistic fuzzy kernel ridge regression classifier for binary classification. Appl. Soft Comput., Vol. 112. 10.1016/j.asoc.2021.107816.
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7. Hazarika, B.B. and D. Gupta, 2021. Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning. Neural Process Lett., 54: 1091-1130.
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8. Gupta, D., B.B. Hazarika, M. Berlin, U.M. Sharma and K. Mishra, 2021. Artificial intelligence for suspended sediment load prediction: A review. Environ. Earth Sci., 10.1007/s12665-021-09625-3.
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9. Hazarika, B.B., D. Gupta and M. Berlin, 2020. Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction. Environ. Earth Sci., 10.1007/s12665-020-08949-w.
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10. Hazarika, B.B., D. Gupta and M. Berlin, 2020. A coiflet LDMR and coiflet OB-ELM for river suspended sediment load prediction. Int. J. Environ. Sci. Technol., 18: 2675-2692.
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11. Hazarika, B.B. and D. Gupta. 2020. Density-weighted support vector machines for binary class imbalance learning. Neural Comput. Applic., 33: 4243-4261.
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12. Gupta, D., B.B. Hazarika and M. Berlin, 2020. Robust regularized extreme learning machine with asymmetric Huber loss function. Neural Comput. Applic., 32: 12971-12998.
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