| Classification of non-chronic and chronic kidney disease using SVM neural networks BV Ravindra, N Sriraam, M Geetha Int. J. Eng. Technol 7 (1), 191-194, 2018 | 38 | 2018 |
| Identifying significant macroeconomic indicators for Indian stock markets PK Aithal, AU Dinesh, M Geetha IEEE Access 7, 143829-143840, 2019 | 25 | 2019 |
| Chronic kidney disease detection using back propagation neural network classifier BV Ravindra, N Sriraam, M Geetha 2018 international conference on communication, computing and internet of …, 2018 | 17 | 2018 |
| Discovery of significant parameters in kidney dialysis data sets by K-means algorithm BV Ravindra, N Sriraam, M Geetha International Conference on Circuits, Communication, Control and Computing …, 2014 | 16 | 2014 |
| Real-time portfolio management system utilizing machine learning techniques PK Aithal, M Geetha, U Dinesh, B Savitha, P Menon IEEE access 11, 32595-32608, 2023 | 15 | 2023 |
| Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review KC Pavithra, P Kumar, M Geetha, SV Bhandary Biocybernetics and Biomedical Engineering 43 (1), 157-188, 2023 | 15 | 2023 |
| A novel convolutional neural network for identification of retinal layers using sliced optical coherence tomography images A Tulsani, J Patel, P Kumar, V Mayya, KC Pavithra, M Geetha, ... Healthcare Analytics 5, 100289, 2024 | 10 | 2024 |
| An empirical evaluation of word embedding models for subjectivity analysis tasks R Nandi, G Maiya, P Kamath, S Shekhar 2021 International Conference on Advances in Electrical, Computing …, 2021 | 10 | 2021 |
| Enhancing resistance of hill cipher using columnar and Myszkowski transposition A Bhowmick, M Geetha International Journal of Computer Sciences and Engineering 3 (02), 20-27, 2015 | 9 | 2015 |
| Comparative Analysis of Pre-trained ResNet and DenseNet Models for the Detection of Diabetic Macular Edema KC Pavithra, P Kumar, M Geetha, SV Bhandary Journal of Physics: Conference Series 2571 (1), 012006, 2023 | 4 | 2023 |
| A comparative study of deep neural network and statistical models for stock price prediction PK Aithal, UD Acharya, M Geetha, R Sagar, R Abraham 2022 3rd International Conference for Emerging Technology (INCET), 1-5, 2022 | 4 | 2022 |
| Data Preprocessing and Finding Optimal Value of K for KNN Model R Shetty, M Geetha, DU Acharya, G Shyamala International Conference on Soft Computing and Signal Processing, 1-9, 2021 | 4 | 2021 |
| A tree based approach for concept maps construction in adaptive learning systems N Gupta, V Mayank, M Geetha, S Rai, S Karanth Applications and Techniques in Information Security: 9th International …, 2018 | 4 | 2018 |
| Analyzing Tone of the Annual Report-An Indian Context PK Aithal, D Acharya, M Geetha 2022 IEEE International Conference on Signal Processing, Informatics …, 2022 | 3 | 2022 |
| Binary count tree: An efficient and compact structure for mining rare and frequent itemsets S Rai, M Geetha, P Kumar, B Giridhar Engineered Science 17, 185-194, 2022 | 3 | 2022 |
| XML Information Retrieval: An overview D Suma, U Dinesh Acharya, M Geetha, R Holla M arXiv e-prints, arXiv: 1410.7654, 2014 | 3 | 2014 |
| An efficient discovery of frequent concepts using weighted count tree M Geetha, RJ D’Souza Institute for Computer Sciences, Social Informatics and Telecommunications …, 2012 | 3 | 2012 |
| An efficient reduced pattern count tree method for discovering most accurate set of frequent itemsets M Geetha, RJ D'souza International Journal of Computer Science and Network Security (IJCSNS) 8 (8 …, 2008 | 3 | 2008 |
| Optimizing question answering systems in education: addressing domain-specific challenges BP Swathi, M Geetha, G Attigeri, MV Suhas, S Halaharvi IEEE Access, 2024 | 2 | 2024 |
| Enhancing ovarian tumor dataset analysis through data mining preprocessing techniques R Shetty, M Geetha, UD Acharya, G Shyamala IEEE Access, 2024 | 2 | 2024 |