| A review of machine learning techniques using decision tree and support vector machine M Somvanshi, P Chavan, S Tambade, SV Shinde 2016 international conference on computing communication control and …, 2016 | 328 | 2016 |
| A method for melanoma skin cancer detection using dermoscopy images S Mane, S Shinde 2018 Fourth international conference on computing communication control and …, 2018 | 63 | 2018 |
| Extracting classification rules from modified fuzzy min–max neural network for data with mixed attributes S Shinde, U Kulkarni Applied Soft Computing 40, 364-378, 2016 | 54 | 2016 |
| Detection of COVID-19 from CT images using resnet50 S Walvekar, DS Shinde 2nd International Conference on Communication & Information Processing (ICCIP), 2020 | 31 | 2020 |
| Review of image processing and machine learning techniques for eye disease detection and classification L Umesh, M Mrunalini, S Shinde International research journal of engineering and technology 3 (3), 547-551, 2016 | 30 | 2016 |
| A survey paper on chatbots A Shaikh, D More, R Puttoo, S Shrivastav, S Shinde International Research Journal of Engineering and Technology (IRJET) 6 (04 …, 2019 | 25 | 2019 |
| Federated learning aided breast cancer detection with intelligent Heuristic-based deep learning framework S Kumbhare, AB Kathole, S Shinde Biomedical Signal Processing and Control 86, 105080, 2023 | 22 | 2023 |
| Extended fuzzy hyperline-segment neural network with classification rule extraction S Shinde, U Kulkarni Neurocomputing 260, 79-91, 2017 | 22 | 2017 |
| Deep Learning-Based Real-Time Discriminate Correlation Analysis for Breast Cancer Detection M Bhende, A Thakare, B Pant, P Singhal, S Shinde, V Saravanan BioMed Research International 2022, 2022 | 20 | 2022 |
| Health informatics: a computational perspective in healthcare R Patgiri, A Biswas, P Roy Springer, 2021 | 20 | 2021 |
| Diagnosis of lung cancer using pruned fuzzy min-max neural network S Deshmukh, S Shinde 2016 International Conference on automatic control and dynamic optimization …, 2016 | 19 | 2016 |
| Efficient medical image segmentation of covid-19 chest ct images based on deep learning techniques S Walvekar, S Shinde 2021 International Conference on Emerging Smart Computing and Informatics …, 2021 | 18 | 2021 |
| Student performance prediction system with educational data mining KB Bhegade, SV Shinde International Journal of Computer Applications 146 (5), 32-35, 2016 | 17 | 2016 |
| Deep learning-based medical image analysis using transfer learning S Shinde, U Kulkarni, D Mane, A Sapkal Health Informatics: A Computational Perspective in Healthcare, 19-42, 2021 | 16 | 2021 |
| A diabetic healthcare recommendation system S Bankhele, A Mhaske, S Bhat, SV Shinde International Journal of Computer Applications 167 (5), 14-18, 2017 | 16 | 2017 |
| SVM based diabetic classification and hospital recommendation S Tambade, M Somvanshi, P Chavan, S Shinde International Journal of Computer Applications 167 (1), 40-43, 2017 | 16 | 2017 |
| Hybridization of Deep Learning Pre-Trained Models with Machine Learning Classifiers and Fuzzy Min–Max Neural Network for Cervical Cancer Diagnosis M Kalbhor, S Shinde, DE Popescu, DJ Hemanth Diagnostics 13 (7), 1363, 2023 | 15 | 2023 |
| Handwritten Marathi numeral recognition using stacked ensemble neural network DT Mane, R Tapdiya, SV Shinde International Journal of Information Technology 13 (5), 1993-1999, 2021 | 15 | 2021 |
| Comparative analysis of facial recognition models using video for real time attendance monitoring system P Patil, S Shinde 2020 4th International Conference on Electronics, Communication and …, 2020 | 15 | 2020 |
| Integrating multiclass light weighted BiLSTM model for classifying negative emotions M Bhende, A Thakare, B Pant, P Singhal, S Shinde, BN Dugbakie Computational Intelligence and Neuroscience 2022, 2022 | 13 | 2022 |
