| Methods for incremental learning: a survey RR Ade, PR Deshmukh International Journal of Data Mining & Knowledge Management Process 3 (4), 119, 2013 | 103 | 2013 |
| Genetic algorithm based feature selection approach for effective intrusion detection system KS Desale, R Ade 2015 International Conference on Computer Communication and Informatics …, 2015 | 77 | 2015 |
| 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, 2022 | 64 | 2022 |
| 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 | 63 | 2015 |
| From blackbox to explainable AI in healthcare: existing tools and case studies PN Srinivasu, N Sandhya, RH Jhaveri, R Raut Mobile Information Systems 2022, 1-20, 2022 | 53 | 2022 |
| 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, 2022 | 37 | 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 | 36 | 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 | 33* | 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 | 29* | 2014 |
| 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, 2022 | 26 | 2022 |
| 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, 1-14, 2022 | 24 | 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 | 24 | 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 | 21* | 2014 |
| 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 | 20 | 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 | 19 | 2015 |
| 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, 1-10, 2022 | 17 | 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 |
| 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 | 16 | 2013 |
| Classification of Students using Psychometric Tests with the help of Incremental Naïve Bayes Algorithm DPRD Roshani Ade International Journal of Computer Applications 89 (14), 27-31, 2014 | 15* | 2014 |
| Dimensionality Reduction: An Effective Technique for Feature Selection RA Swati Sonawale International Journal of Computer Applications 117 (3), 18-23, 2015 | 14 | 2015 |
