| Methods for incremental learning: a survey RR Ade, PR Deshmukh International Journal of Data Mining & Knowledge Management Process 3 (4), 119, 2013 | 112 | 2013 |
| Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions AR Khan, M Kashif, RH Jhaveri, R Raut, T Saba, SA Bahaj Security and Communication Networks 2022 (1), 4016073, 2022 | 99 | 2022 |
| From blackbox to explainable AI in healthcare: existing tools and case studies PN Srinivasu, N Sandhya, RH Jhaveri, R Raut Mobile Information Systems 2022 (1), 8167821, 2022 | 92 | 2022 |
| Genetic algorithm based feature selection approach for effective intrusion detection system KS Desale, R Ade 2015 International Conference on Computer Communication and Informatics …, 2015 | 82 | 2015 |
| Information Systems Design and Intelligent Applications Proceedings of Second International Conference INDIA 2015, Volume JK Mandal, SC Satapathy, MK Sanyal, PP Sarkar, A Mukhopadhyay Proceedings of Second International Conference INDIA 1, 1, 2015 | 71 | 2015 |
| A Review on Machine Learning Strategies for Real‐World Engineering Applications RH Jhaveri, A Revathi, K Ramana, R Raut, RK Dhanaraj Mobile Information Systems 2022 (1), 1833507, 2022 | 61 | 2022 |
| An incremental ensemble of classifiers as a technique for prediction of student's career choice R Ade, PR Deshmukh 2014 First International Conference on Networks & Soft Computing (ICNSC2014 …, 2014 | 35 | 2014 |
| INCREMENTAL LEARNING FROM UNBALANCED DATA WITH CONCEPT CLASS, CONCEPT DRIFT AND MISSING FEATURES: A REVIEW RA Pallavi Kulkarni IJDKP 4 (6), 15-29, 2014 | 35* | 2014 |
| Feature Selection based Classification using Naive Bayes, J48 and Support Vector Machine DB Roshani Ade, Dr. P. R. Deshmukh International journal of computer applications 99 (16), 15-18, 2014 | 32* | 2014 |
| FPGA‐based deep learning models for Analysing Corona using chest X‐ray images A Namburu, D Sumathi, R Raut, RH Jhaveri, RK Dhanaraj, ... Mobile Information Systems 2022 (1), 2110785, 2022 | 31 | 2022 |
| Robust authentication system with privacy preservation of biometrics SD Patil, R Raut, RH Jhaveri, TA Ahanger, PV Dhade, AB Kathole, ... Security and Communication Networks 2022 (1), 7857975, 2022 | 31 | 2022 |
| Logistic regression learning model for handling concept drift with unbalanced data in credit card fraud detection system P Kulkarni, R Ade Proceedings of the Second International Conference on Computer and …, 2016 | 25 | 2016 |
| Prediction of Student’s Performance based on Incremental Learning PK Roshani Ade, Dr. P. R. Deshmukh International journal of computer applications 99 (14), 10-16, 2014 | 22* | 2014 |
| Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network AR Jadhav, PD Pathak, RY Raut Environmental Monitoring and Assessment 195 (2), 321, 2023 | 21 | 2023 |
| Skin disease classification using machine learning algorithms R Raut, Y Borole, S Patil, V Khan, DG Takale NeuroQuantology 20 (10), 9624-9629, 2022 | 21 | 2022 |
| A novel approach for handling imbalanced data in medical diagnosis using undersampling technique V Babar, R Ade Communications on Applied Electronics 5 (7), 36-42, 2016 | 21 | 2016 |
| Efficient knowledge transformation system using pair of classifiers for prediction of students career choice R Ade, PR Deshmukh Procedia Computer Science 46, 176-183, 2015 | 21 | 2015 |
| Heart disease prediction system using svm and naive bayes MRR Ade, DS Medhekar, MP Bote International Journal of Engineering Sciences & Research Technology 2 (5 …, 2013 | 17 | 2013 |
| NNPCov19: Artificial Neural Network‐Based Propaganda Identification on Social Media in COVID‐19 Era AMUD Khanday, B Bhushan, RH Jhaveri, QR Khan, R Raut, ST Rabani Mobile Information Systems 2022 (1), 3412992, 2022 | 16 | 2022 |
| Classification of students by using an incremental ensemble of classifiers R Ade, PR Deshmukh Proceedings of 3rd International Conference on Reliability, Infocom …, 2014 | 16 | 2014 |
