| A linear model based on principal component analysis for disease prediction H Roopa, T Asha IEEE Access 7, 105314-105318, 2019 | 54 | 2019 |
| Data mining techniques in the diagnosis of tuberculosis T Asha, S Natarajan, KNB Murthy Understanding Tuberculosis—Global Experiences and Innovative Approaches to …, 2012 | 41 | 2012 |
| Monitoring weather based meteorological data: Clustering approach for analysis N Shobha, T Asha 2017 international conference on innovative mechanisms for industry …, 2017 | 26 | 2017 |
| Biologically Rationalized Computing Techniques For Image Processing Applications MB Asha.T springer LNCVB series, 2017 | 17* | 2017 |
| Associative classification in the prediction of tuberculosis T Asha, S Natarajan, KNB Murthy Proceedings of the International Conference & Workshop on Emerging Trends in …, 2011 | 15 | 2011 |
| Notice of Retraction: Diagnosis of tuberculosis using ensemble methods T Asha, S Natarajan, KNB Murthy 2010 3rd International Conference on Computer Science and Information …, 2010 | 15 | 2010 |
| Feature extraction of chest X-ray images and analysis using PCA and kPCA H Roopa, T Asha International Journal of Electrical and Computer Engineering 8 (5), 3392, 2018 | 14 | 2018 |
| Building machine learning algorithms on Hadoop for bigdata T Asha, UM Shravanthi, N Nagashree, M Monika International Journal of Engineering and Technology 3 (2), 143-147, 2013 | 13 | 2013 |
| Effective classification algorithms to predict the accuracy of tuberculosis-A machine learning approach T Asha, S Natarajan, KNB Murthy International Journal of Computer Science and Information Security 9 (7), 89, 2011 | 13 | 2011 |
| Automatic detection of brain strokes in CT images using soft computing techniques BS Maya, T Asha Biologically Rationalized Computing Techniques For Image Processing …, 2018 | 9 | 2018 |
| Segmentation of X-ray image using city block distance measure H Roopa, T Asha 2016 International Conference on Control, Instrumentation, Communication and …, 2016 | 9 | 2016 |
| Association-rule-based tuberculosis disease diagnosis T Asha, S Natarajan, KNB Murthy Second International Conference on Digital Image Processing 7546, 687-692, 2010 | 6 | 2010 |
| Optimization of association rules for tuberculosis using genetic algorithm T Asha, S Natarajan, KNB Murthy Комп’ютинг 12 (2), 151, 2013 | 5 | 2013 |
| Aspect-level sentiment analysis on hotel reviews N Panigrahi, T Asha Computational Intelligence in Data Mining: Proceedings of the International …, 2019 | 4 | 2019 |
| RHALSA: Ranking hotels using aspect level sentiment analysis N Panigrahi, T Asha Journal of Computer Science 14 (11), 1512-1520, 2018 | 4 | 2018 |
| Knowledge abstraction from textural features of brain MRI images for diagnosing brain tumor using statistical techniques and associative classification AS Sambyal, T Asha 2016 International Conference on Systems in Medicine and Biology (ICSMB), 53-57, 2016 | 4 | 2016 |
| Patch based wiener filter for image denoising S Metri, T Asha 2018 International Conference on Computational Techniques, Electronics and …, 2018 | 3 | 2018 |
| DNA based disease prediction using pathway analysis S Farah, MS Sushma, T Asha, B Cauvery, KS Shivanand 2017 IEEE 7th International Advance Computing Conference (IACC), 629-634, 2017 | 3 | 2017 |
| A Study of As sociative Classifiers with Different Rule Evaluation Measures for Tuberculosis Prediction T Asha, Natarajan, S, Murthy KNB | 3* | 2011 |
| An efficient prediction model to analyze tuberculosis chest X-ray images H Roopa, T Asha International Journal of Scientific & Engineering Research 10, 694-700, 2019 | 2 | 2019 |
