Barenya Bikash Hazarika

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Support Vector Machine

Data Preprocessing

Top Venues

Appl. Soft Comput.

Neural Comput. Appl.

Neural Process. Lett.

Comput. Appl. Math.

Publications

Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika
An efficient angle-based twin random vector functional link classifier. Appl. Soft Comput. 164 (2024)
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) (2024)
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) (2024)
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) (2023)
Barenya Bikash Hazarika, Deepak Gupta
Improved twin bounded large margin distribution machines for binary classification. Multim. Tools Appl. 82 (9) (2023)
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 (2023)
Barenya Bikash Hazarika, Deepak Gupta
Mode decomposition based large margin distribution machines for sediment load prediction. Expert Syst. Appl. 232 (2023)
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 (2023)
Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika
An Intuitionistic Fuzzy Random Vector Functional Link Classifier. Neural Process. Lett. 55 (4) (2023)
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) (2023)
Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah
Robust support vector quantile regression with truncated pinball loss (RSVQR). Comput. Appl. Math. 42 (6) (2023)
Barenya Bikash Hazarika, Deepak Gupta
Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. Comput. Methods Programs Biomed. 215 (2022)
Barenya Bikash Hazarika, Deepak Gupta
Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning. Neural Process. Lett. 54 (2) (2022)
Barenya Bikash Hazarika, Deepak Gupta
Density-weighted support vector machines for binary class imbalance learning. Neural Comput. Appl. 33 (9) (2021)
Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah
An intuitionistic fuzzy kernel ridge regression classifier for binary classification. Appl. Soft Comput. 112 (2021)
Barenya Bikash Hazarika, Deepak Gupta
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks. Appl. Soft Comput. 96 (2020)
Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin
Robust regularized extreme learning machine with asymmetric Huber loss function. Neural Comput. Appl. 32 (16) (2020)