Multi Filtration Feature Selection (MFFS) to improve discriminatory ability in clinical data set S Sasikala, SA alias Balamurugan, S Geetha Applied Computing and Informatics 12 (2), 117-127, 2016 | 45 | 2016 |
A Novel Feature Selection Technique for Improved Survivability Diagnosis of Breast Cancer S Sasikala International Symposium on Big Data and Cloud Computing (ISBCC’15) 1 (1), 2015 | 40 | 2015 |
Data mining application on aviation accident data for predicting topmost causes for accidents S Koteeswaran, N Malarvizhi, E Kannan, S Sasikala, S Geetha Cluster computing 22 (Suppl 5), 11379-11399, 2019 | 23 | 2019 |
Multi-parameter optimization for load balancing with effective task scheduling and resource sharing S Sasikala, N Malarvizhi, J Aswini, MH Chakravarthy, EA Neeba Journal of Ambient Intelligence and Humanized Computing, 1-9, 2021 | 21* | 2021 |
A novel adaptive feature selector for supervised classification S Sasikala, SA alias Balamurugan, S Geetha Information Processing Letters 117, 25-34, 2017 | 20 | 2017 |
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images RT Subhalakshmi, SA Balamurugan, S Sasikala Concurrent Engineering 30 (1), 116-127, 2022 | 14 | 2022 |
A Novel Software Package Selection Method Using Teaching–Learning Based Optimization and Multiple Criteria Decision Making S Sasikala,ASK Kannan, SA alias Balamurugan IEEE Transactions on Engineering Management 68 (4), 941-954, 2021 | 14* | 2021 |
Generation of cancelable iris template using bi-level transformation P Punithavathi, S Geetha, S Sasikala Proceedings of the 6th International Conference on Bioinformatics and …, 2017 | 13 | 2017 |
An Efficient Food Quality Analysis Model (EFQAM) using the Internet of Things (IoT) Technologies S Sasikala, EA Neeba, D Tamilarasi, RR Nair, KS Uma Microprocessors and Microsystems, 103972, 2021 | 11* | 2021 |
A novel memetic algorithm for discovering knowledge in binary and multi class predictions based on support vector machine S Sasikala, S Geetha Applied Soft Computing 49, 407-422, 2016 | 10 | 2016 |
Appavu alias Balamurugan, S., and Geetha, S.(2016). Multi filtration feature selection (MFFS) to improve discriminatory ability in clinical data set S Sasikala Comput. Inf 12, 117-127, 0 | 10 | |
A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making” S Sasikala,ASK Kannan, SA alias Balamurugan IEEE Access 9 (1), 56228-56239, 2021 | 7 | 2021 |
RF-SEA based Feature selection for Data classification in Medical domain S Sasikala International Conference on Advanced Computing, Networking, and Informatics …, 2013 | 7 | 2013 |
The future of India creeping up in building a smart city: intelligent traffic analysis platform SAA Balamurugan, JF Lilian, S Sasikala 2018 Second International Conference on Inventive Communication and …, 2018 | 6 | 2018 |
Data classification using PCA based on Effective Variance Coverage (EVC) S Sasikala IEEE International Conference on Emerging Trends in Computing ,Communication …, 2013 | 5 | 2013 |
Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making. ESV Kumar, SA alias Balamurugan, S Sasikala Int. J. Comput. Intell. Syst. 14 (1), 1796-1808, 2021 | 4 | 2021 |
A Model for Predicting Human Depression using Machine Learning Algorithm S Sasikala International Journal of Innovative Technology and Exploring Engineering …, 2020 | 4* | 2020 |
An Efficient Feature Selection Paradigm Using PCA-CFS-Shapley Values Ensemble Applied to Small Medical Data Sets S Sasikala International Conference on Computing Communication and Networking …, 2013 | 4 | 2013 |
Analysis of Deep Learning Techniques for Tuberculosis Disease S Sasikala, SAA Balamurugan, J Senthil Kumar SN Computer Science 2 (302), 1-10., 2021 | 3* | 2021 |
Enhanced BiLSTM Model for EEG Emotional Data Analysis S Sasikala, JS Revathy, N Uma Principles and Applications of Socio-Cognitive and Affective Computing 1, 51-63, 2022 | 2 | 2022 |