| Redundancy-driven modified Tomek-link based undersampling: A solution to class imbalance D Devi, B Purkayastha Pattern Recognition Letters 93, 3-12, 2017 | 176 | 2017 |
| Learning in presence of class imbalance and class overlapping by using one-class SVM and undersampling technique D Devi, SK Biswas, B Purkayastha Connection Science 31 (2), 105-142, 2019 | 74 | 2019 |
| A review on solution to class imbalance problem: Undersampling approaches D Devi, SK Biswas, B Purkayastha 2020 international conference on computational performance evaluation (ComPE …, 2020 | 59 | 2020 |
| A hybrid case based reasoning model for classification in internet of things (iot) environment SK Biswas, D Devi, M Chakraborty Journal of Organizational and End User Computing (JOEUC) 30 (4), 104-122, 2018 | 57 | 2018 |
| PSO embedded evolutionary programming technique for nonconvex economic load dispatch N Sinha, B Purkayastha IEEE PES Power Systems Conference and Exposition, 2004., 66-71, 2004 | 50 | 2004 |
| Rule extraction from training data using neural network SK Biswas, M Chakraborty, B Purkayastha, P Roy, DM Thounaojam International Journal on Artificial Intelligence Tools 26 (03), 1750006, 2017 | 41 | 2017 |
| A cost-sensitive weighted random forest technique for credit card fraud detection D Devi, SK Biswas, B Purkayastha 2019 10th international conference on computing, communication and …, 2019 | 40 | 2019 |
| Review on feature selection and classification using neuro-fuzzy approaches S Biswas, M Bordoloi, B Purkayastha International Journal of Applied Evolutionary Computation (IJAEC) 7 (4), 28-44, 2016 | 40 | 2016 |
| Weather prediction by recurrent neural network dynamics SK Biswas, N Sinha, B Purkayastha, L Marbaniang International Journal of Intelligent Engineering Informatics 2 (2-3), 166-180, 2014 | 33 | 2014 |
| A comprehensive review on breast cancer detection, classification and segmentation using deep learning B Abhisheka, SK Biswas, B Purkayastha Archives of Computational Methods in Engineering 30 (8), 5023-5052, 2023 | 28 | 2023 |
| Rule extraction from neural network using input data ranges recursively M Chakraborty, SK Biswas, B Purkayastha New Generation Computing 37, 67-96, 2019 | 28 | 2019 |
| Hybrid case-based reasoning system by cost-sensitive neural network for classification SK Biswas, M Chakraborty, HR Singh, D Devi, B Purkayastha, AK Das Soft Computing 21, 7579-7596, 2017 | 28 | 2017 |
| Automated Indian sign language recognition system by fusing deep and handcrafted feature S Das, SK Biswas, B Purkayastha Multimedia Tools and Applications 82 (11), 16905-16927, 2023 | 24 | 2023 |
| Rule extraction from neural network trained using deep belief network and back propagation M Chakraborty, SK Biswas, B Purkayastha Knowledge and Information Systems 62 (9), 3753-3781, 2020 | 24 | 2020 |
| Recursive rule extraction from NN using reverse engineering technique M Chakraborty, SK Biswas, B Purkayastha New Generation Computing 36, 119-142, 2018 | 20 | 2018 |
| Boston house price prediction using regression models S Sanyal, SK Biswas, D Das, M Chakraborty, B Purkayastha 2022 2nd International Conference on Intelligent Technologies (CONIT), 1-6, 2022 | 18 | 2022 |
| A neuro-fuzzy classification technique using dynamic clustering and GSS rule generation HR Singh, SK Biswas, B Purkayastha Journal of Computational and Applied Mathematics 309, 683-694, 2017 | 18 | 2017 |
| A review on fundamentals of case-based reasoning and its recent application in different domains SK Biswas, N Sinha, B Purkayastha International Journal of Advanced Intelligence Paradigms 6 (3), 235-254, 2014 | 17 | 2014 |
| Optimal Combined Economic and Emission load dispatch using modified NSGA II with adaptive crowding distance B Purkayastha, N Sinha International Journal of information Technology and Knowledge management 2 …, 2010 | 16 | 2010 |
| Health insurance cost prediction using regression models S Panda, B Purkayastha, D Das, M Chakraborty, SK Biswas 2022 International conference on machine learning, big data, cloud and …, 2022 | 14 | 2022 |
