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Barenya Bikash Hazarika
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2020 – today
- 2024
- [j18]Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika:
An efficient angle-based twin random vector functional link classifier. Appl. Soft Comput. 164: 112005 (2024) - [j17]Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin:
Wavelet kernel large margin distribution machine-based regression for modelling the river suspended sediment load. Comput. Electr. Eng. 120: 109783 (2024) - [j16]Barenya Bikash Hazarika, Deepak Gupta, Bikram Kumar:
EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine. Cogn. Comput. 16(4): 2047-2062 (2024) - [j15]Deepak Gupta, Barenya Bikash Hazarika, Parashjyoti Borah:
Fuzzy twin kernel ridge regression classifiers for liver disorder detection. Int. J. Bus. Intell. Data Min. 24(2): 131-145 (2024) - 2023
- [j14]Chittabarni Sarkar, Deepak Gupta, Umesh Gupta, Barenya Bikash Hazarika:
Leaf disease detection using machine learning and deep learning: Review and challenges. Appl. Soft Comput. 145: 110534 (2023) - [j13]Chittabarni Sarkar, Deepak Gupta, Barenya Bikash Hazarika:
1-Norm twin random vector functional link networks based on Universum data for leaf disease detection. Appl. Soft Comput. 148: 110850 (2023) - [j12]Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah:
Robust support vector quantile regression with truncated pinball loss (RSVQR). Comput. Appl. Math. 42(6): 283 (2023) - [j11]Barenya Bikash Hazarika, Deepak Gupta:
Mode decomposition based large margin distribution machines for sediment load prediction. Expert Syst. Appl. 232: 120844 (2023) - [j10]Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah:
Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning. Knowl. Inf. Syst. 65(12): 5259-5288 (2023) - [j9]Barenya Bikash Hazarika, Deepak Gupta:
Improved twin bounded large margin distribution machines for binary classification. Multim. Tools Appl. 82(9): 13341-13368 (2023) - [j8]Rana Muhammad Adnan, Barenya Bikash Hazarika, Deepak Gupta, Salim Heddam, Özgür Kisi:
Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study. Neural Comput. Appl. 35(12): 9053-9070 (2023) - [j7]Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika:
An Intuitionistic Fuzzy Random Vector Functional Link Classifier. Neural Process. Lett. 55(4): 4325-4346 (2023) - 2022
- [j6]Barenya Bikash Hazarika, Deepak Gupta:
Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. Comput. Methods Programs Biomed. 215: 106622 (2022) - [j5]Barenya Bikash Hazarika, Deepak Gupta:
Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning. Neural Process. Lett. 54(2): 1091-1130 (2022) - 2021
- [j4]Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah:
An intuitionistic fuzzy kernel ridge regression classifier for binary classification. Appl. Soft Comput. 112: 107816 (2021) - [j3]Barenya Bikash Hazarika, Deepak Gupta:
Density-weighted support vector machines for binary class imbalance learning. Neural Comput. Appl. 33(9): 4243-4261 (2021) - 2020
- [j2]Barenya Bikash Hazarika, Deepak Gupta:
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks. Appl. Soft Comput. 96: 106626 (2020) - [j1]Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin:
Robust regularized extreme learning machine with asymmetric Huber loss function. Neural Comput. Appl. 32(16): 12971-12998 (2020)
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last updated on 2024-11-07 21:32 CET by the dblp team
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