| Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks BB Hazarika, D Gupta Applied Soft Computing 96, 106626, 2020 | 106 | 2020 |
| Density-weighted support vector machines for binary class imbalance learning BB Hazarika, D Gupta Neural Computing and Applications 33 (9), 4243-4261, 2021 | 86 | 2021 |
| Robust regularized extreme learning machine with asymmetric Huber loss function D Gupta, BB Hazarika, M Berlin Neural Computing and Applications 32 (16), 12971-12998, 2020 | 57 | 2020 |
| Artificial intelligence for suspended sediment load prediction: a review D Gupta, BB Hazarika, M Berlin, UM Sharma, K Mishra Environmental earth sciences 80 (9), 346, 2021 | 52 | 2021 |
| Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction BB Hazarika, D Gupta, M Berlin Environmental Earth Sciences 79 (10), 234, 2020 | 48 | 2020 |
| An intuitionistic fuzzy kernel ridge regression classifier for binary classification BB Hazarika, D Gupta, P Borah Applied Soft Computing 112, 107816, 2021 | 46 | 2021 |
| Density weighted twin support vector machines for binary class imbalance learning BB Hazarika, D Gupta Neural Processing Letters 54 (2), 1091-1130, 2022 | 30 | 2022 |
| Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study RMA Ikram, BB Hazarika, D Gupta, S Heddam, O Kisi Neural Computing and Applications 35 (12), 9053-9070, 2023 | 28 | 2023 |
| A comparative analysis of artificial neural network and support vector regression for river suspended sediment load prediction BB Hazarika, D Gupta, Ashu, M Berlin First International Conference on Sustainable Technologies for Computational …, 2020 | 27 | 2020 |
| Leaf disease detection using machine learning and deep learning: Review and challenges C Sarkar, D Gupta, U Gupta, BB Hazarika Applied Soft Computing, 110534, 2023 | 26 | 2023 |
| Random vector functional link with ε-insensitive Huber loss function for biomedical data classification BB Hazarika, D Gupta Computer methods and programs in biomedicine 215, 106622, 2022 | 22 | 2022 |
| Wavelet kernel least square twin support vector regression for wind speed prediction BB Hazarika, D Gupta, N Natarajan Environmental Science and Pollution Research 29 (57), 86320-86336, 2022 | 18 | 2022 |
| A coiflet LDMR and coiflet OB-ELM for river suspended sediment load prediction BB Hazarika, D Gupta, M Berlin International Journal of Environmental Science and Technology 18 (9), 2675-2692, 2021 | 18 | 2021 |
| Affinity based fuzzy kernel ridge regression classifier for binary class imbalance learning BB Hazarika, D Gupta Engineering Applications of Artificial Intelligence 117, 105544, 2023 | 17 | 2023 |
| An intuitionistic fuzzy random vector functional link classifier U Mishra, D Gupta, BB Hazarika Neural Processing Letters 55 (4), 4325-4346, 2023 | 16 | 2023 |
| 1-Norm random vector functional link networks for classification problems BB Hazarika, D Gupta Complex & Intelligent Systems 8 (4), 3505-3521, 2022 | 11 | 2022 |
| EEG signal classification using a novel universum-based twin parametric-margin support vector machine BB Hazarika, D Gupta, B Kumar Cognitive Computation, 1-16, 2023 | 9 | 2023 |
| Survey on real time security mechanisms in network forensics B Hazarika, S Medhi International Journal of Computer Applications 151 (2), 2016 | 9 | 2016 |
| Intuitionistic fuzzy kernel random vector functional link classifier BB Hazarika, D Gupta, U Gupta Machine Intelligence Techniques for Data Analysis and Signal Processing …, 2023 | 7 | 2023 |
| Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning BB Hazarika, D Gupta, P Borah Knowledge and Information Systems 65 (12), 5259-5288, 2023 | 5 | 2023 |
Berlin MohanadhasAssociate Professor, National Institute of Technology Arunachal PradeshVerified email at nitap.ac.in
