| A review on credit card fraud detection using machine learning S Shirgave, C Awati, R More, S Patil International Journal of Scientific & technology research 8 (10), 1217-1220, 2019 | 55 | 2019 |
| Credit card fraud detection using supervised learning approach R More, C Awati, S Shirgave, R Deshmukh, S Patil International journal of scientific & technology research 9 (10), 216-219, 2021 | 32 | 2021 |
| Smart recommender system using deep learning SR Chavare, CJ Awati, SK Shirgave 2021 6th international conference on inventive computation technologies …, 2021 | 29 | 2021 |
| On selection of assessment methods in outcome based education (OBE) TI Bagban, SR Patil, A Gat, SK Shirgave Journal of Engineering Education Transformations 30 (3), 327-332, 2017 | 14 | 2017 |
| A methodology for extracting head contents from meaningful tables in web pages MM Chavan, SK Shirgave 2011 International Conference on Communication Systems and Network …, 2011 | 14 | 2011 |
| Semantically Enriched Variable Length Markov Chain Model for Analysis of User Web Navigation Sessions S Shirgave, P Kulkarni, J Borges International Journal of Information Technology & Decision Making 13 (04 …, 2014 | 12 | 2014 |
| Improving performance of recommendation systems using sentiment patterns of user CJ Awati, SK Shirgave, SA Thorat International Journal of Information Technology 15 (7), 3779-3790, 2023 | 11 | 2023 |
| Semantically enriched web usage mining for personalization S Shirgave, P Kulkarni, J Borges International Journal of Computer, Control, Quantum and Information …, 2014 | 11 | 2014 |
| Semantically enriched web usage mining for predicting user future movements S Shirgave, P Kulkarni International Journal of Web & Semantic Technology 4 (4), 59, 2013 | 10 | 2013 |
| A theoretical study on cnn based cotton crop disease detection R Zambare, C Awati, R Deshmukh, S Shirgave 2022 6th International Conference on Trends in Electronics and Informatics …, 2022 | 9 | 2022 |
| Deep learning model for disease identification of cotton plants R Zambare, R Deshmukh, C Awati, S Shirgave, S Thorat, S Zalte Spec. Ugdym 1, 6684-6695, 2022 | 7 | 2022 |
| The State of the Art Techniques in Recommendation Systems C Awati, S Shirgave International Conference on Computing in Engineering & Technology, 730-741, 2022 | 4 | 2022 |
| Enriching Search Results using Ontology SB Patil, SK Shirgave International Journal of Computer Engineering & Technology (IJCET) 4 (2 …, 2013 | 4 | 2013 |
| Query processing over relationalcross model in uncertain and probabilistic databases VV Kheradkar, SK Shirgave 2023 Third International Conference on Artificial Intelligence and Smart …, 2023 | 3 | 2023 |
| A System for Predictive Data Analytics Using Sequential Rule Mining SC Sagare, SK Shirgave, DV Kodavade International Journal of Software Innovation (IJSI) 8 (4), 78-94, 2020 | 3 | 2020 |
| Enhancing Diversity in Recommendation Systems using Likelihood-based Item Recommendation C Awati, S Shirgave, S Thorat 2022 International Conference on Augmented Intelligence and Sustainable …, 2022 | 2 | 2022 |
| Efficient Management Of Data In Uncertain And Probabilistic Databases VV Kheradkar, SK Shirgave webology journal 18 (6), 5564-5580, 2021 | 2 | 2021 |
| Stable Confident Rating Prediction in Collaborative Filtering SKS Chetan J. Awati International Journal of Innovative Technology and Exploring Engineering 8 …, 2019 | 2* | 2019 |
| Survey on Tag Based Image Search SN Paraj, SK Shirgave International Journal of Computer Engineering In Research Trends 4 (11), 2017 | 2 | 2017 |
| User Web Usage Mining for navigation improvisation using semantic related frequent patterns NP Jilhedar, SK Shirgave International Conference on Computing and Communication Technologies, 1-5, 2014 | 2 | 2014 |
