Barenya Bikash Hazarika

According to our database, Barenya Bikash Hazarika authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine.

Barenya Bikash Hazarika, Deepak Gupta, Bikram Kumar

Cogn. Comput., July, 2024

Fuzzy twin kernel ridge regression classifiers for liver disorder detection.

Deepak Gupta, Barenya Bikash Hazarika, Parashjyoti Borah

Int. J. Bus. Intell. Data Min., 2024

Wavelet kernel large margin distribution machine-based regression for modelling the river suspended sediment load.

Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin

Comput. Electr. Eng., 2024

An efficient angle-based twin random vector functional link classifier.

Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika

Appl. Soft Comput., 2024

2023

Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning.

Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah

Knowl. Inf. Syst., December, 2023

Mode decomposition based large margin distribution machines for sediment load prediction.

Barenya Bikash Hazarika, Deepak Gupta

Expert Syst. Appl., December, 2023

1-Norm twin random vector functional link networks based on Universum data for leaf disease detection.

Chittabarni Sarkar, Deepak Gupta, Barenya Bikash Hazarika

Appl. Soft Comput., November, 2023

Robust support vector quantile regression with truncated pinball loss (RSVQR).

Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah

Comput. Appl. Math., September, 2023

Leaf disease detection using machine learning and deep learning: Review and challenges.

Chittabarni Sarkar, Deepak Gupta, Umesh Gupta, Barenya Bikash Hazarika

Appl. Soft Comput., September, 2023

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study.

Rana Muhammad Adnan, Barenya Bikash Hazarika, Deepak Gupta, Salim Heddam, Özgür Kisi

Neural Comput. Appl., April, 2023

Improved twin bounded large margin distribution machines for binary classification.

Barenya Bikash Hazarika, Deepak Gupta

Multim. Tools Appl., April, 2023

An Intuitionistic Fuzzy Random Vector Functional Link Classifier.

Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika

Neural Process. Lett., 2023

2022

Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning.

Barenya Bikash Hazarika, Deepak Gupta

Neural Process. Lett., 2022

Random vector functional link with ε-insensitive Huber loss function for biomedical data classification.

Barenya Bikash Hazarika, Deepak Gupta

Comput. Methods Programs Biomed., 2022

2021

Density-weighted support vector machines for binary class imbalance learning.

Barenya Bikash Hazarika, Deepak Gupta

Neural Comput. Appl., 2021

An intuitionistic fuzzy kernel ridge regression classifier for binary classification.

Barenya Bikash Hazarika, Deepak Gupta, Parashjyoti Borah

Appl. Soft Comput., 2021

2020

Robust regularized extreme learning machine with asymmetric Huber loss function.

Deepak Gupta, Barenya Bikash Hazarika, Mohanadhas Berlin

Neural Comput. Appl., 2020

Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks.

Barenya Bikash Hazarika, Deepak Gupta

Appl. Soft Comput., 2020