Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks. - Barenya Bikash Hazarika; Deepak Gupta 004 (Appl. Soft Comput., 2020)

Robust regularized extreme learning machine with asymmetric Huber loss function. - Deepak Gupta 004; Barenya Bikash Hazarika; Mohanadhas Berlin (Neural Comput. Appl., 2020)

An intuitionistic fuzzy kernel ridge regression classifier for binary classification. - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Appl. Soft Comput., 2021)

Density-weighted support vector machines for binary class imbalance learning. - Barenya Bikash Hazarika; Deepak Gupta 004 (Neural Comput. Appl., 2021)

Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. - Barenya Bikash Hazarika; Deepak Gupta 004 (Comput. Methods Programs Biomed., 2022)

Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning. - Barenya Bikash Hazarika; Deepak Gupta 004 (Neural Process. Lett., 2022)

An Intuitionistic Fuzzy Random Vector Functional Link Classifier. - Upendra Mishra; Deepak Gupta 004; Barenya Bikash Hazarika (Neural Process. Lett., 2023)

Improved twin bounded large margin distribution machines for binary classification. - Barenya Bikash Hazarika; Deepak Gupta 004 (Multim. Tools Appl., 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 004; Salim Heddam; Özgür Kisi (Neural Comput. Appl., 2023)

Leaf disease detection using machine learning and deep learning: Review and challenges. - Chittabarni Sarkar; Deepak Gupta 004; Umesh Gupta; Barenya Bikash Hazarika (Appl. Soft Comput., 2023)

Robust support vector quantile regression with truncated pinball loss (RSVQR). - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Comput. Appl. Math., 2023)

1-Norm twin random vector functional link networks based on Universum data for leaf disease detection. - Chittabarni Sarkar; Deepak Gupta 004; Barenya Bikash Hazarika (Appl. Soft Comput., 2023)

Mode decomposition based large margin distribution machines for sediment load prediction. - Barenya Bikash Hazarika; Deepak Gupta 004 (Expert Syst. Appl., 2023)

Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning. - Barenya Bikash Hazarika; Deepak Gupta 004; Parashjyoti Borah (Knowl. Inf. Syst., 2023)

An efficient angle-based twin random vector functional link classifier. - Upendra Mishra; Deepak Gupta 004; Barenya Bikash Hazarika (Appl. Soft Comput., 2024)

Wavelet kernel large margin distribution machine-based regression for modelling the river suspended sediment load. - Deepak Gupta 004; Barenya Bikash Hazarika; Mohanadhas Berlin (Comput. Electr. Eng., 2024)

Fuzzy twin kernel ridge regression classifiers for liver disorder detection. - Deepak Gupta 004; Barenya Bikash Hazarika; Parashjyoti Borah (Int. J. Bus. Intell. Data Min., 2024)

EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine. - Barenya Bikash Hazarika; Deepak Gupta 004; Bikram Kumar (Cogn. Comput., 2024)

Class-specific intuitionistic fuzzy kernel ridge regression classifier. - Barenya Bikash Hazarika; Deepak Gupta 004 (Appl. Soft Comput., 2025)

ConCave-Convex procedure for support vector machines with Huber loss for text classification. - Parashjyoti Borah; Deepak Gupta 004; Barenya Bikash Hazarika (Comput. Electr. Eng., 2025)

A hybrid approach for plant leaf detection using ResNet50- intuitionistic fuzzy RVFL (ResNet50-IFRVFLC) classifier. - Upendra Mishra; Deepak Gupta 004; Achyuth Sarkar; Barenya Bikash Hazarika (Comput. Electr. Eng., 2025)

Entropy-based fuzzy 1norm twin random vector functional link networks for binary class imbalance learning. - Chittabarni Sarkar; Deepak Gupta 004; Barenya Bikash Hazarika; Rajat Subhra Goswami (Eng. Appl. Artif. Intell., 2025)