| Imbalanced dataset classification and solutions: a review D Ramyachitra, P Manikandan International Journal of Computing and Business Research (IJCBR) 5 (4), 1-29, 2014 | 271 | 2014 |
| Microarray cancer gene feature selection using spider monkey optimization algorithm and cancer classification using SVM RR Rani, D Ramyachitra Procedia computer science 143, 108-116, 2018 | 45 | 2018 |
| Multiple sequence alignment using multi-objective based bacterial foraging optimization algorithm RR Rani, D Ramyachitra Biosystems 150, 177-189, 2016 | 40 | 2016 |
| Krill herd optimization algorithm for cancer feature selection and random forest technique for classification RR Rani, D Ramyachitra 2017 8th IEEE International Conference on Software Engineering and Service …, 2017 | 35 | 2017 |
| Ripple Down Rule learner (RIDOR) classifier for IRIS dataset V Veeralakshmi, D Ramyachitra Issues 1 (1), 79-85, 2015 | 34 | 2015 |
| Bacterial foraging optimization–genetic algorithm for multiple sequence alignment with multi-objectives P Manikandan, D Ramyachitra Scientific reports 7 (1), 8833, 2017 | 27 | 2017 |
| A study on scheduling in grid environment K Vivekanandan, D Ramyachitra International Journal on Computer Science and Engineering 3 (2), 940-950, 2011 | 25 | 2011 |
| Artificial bee colony algorithm for grid scheduling K Vivekanandan, D Ramyachitra, B Anbu J Converg Inf Technol 6 (7), 328-339, 2011 | 24 | 2011 |
| Interval-value Based Particle Swarm Optimization algorithm for cancer-type specific gene selection and sample classification D Ramyachitra, M Sofia, P Manikandan Genomics data 5, 46-50, 2015 | 23 | 2015 |
| A modified borderline smote with noise reduction in imbalanced datasets M Revathi, D Ramyachitra Wireless Personal Communications 121 (3), 1659-1680, 2021 | 21 | 2021 |
| A review on feature selection techniques for gene expression data S Vanjimalar, D Ramyachitra, P Manikandan 2018 IEEE International Conference on Computational Intelligence and …, 2018 | 20 | 2018 |
| Detection of dynamic protein complexes through Markov Clustering based on Elephant Herd Optimization Approach AB R.Ranjani Rani, D.Ramyachitra Scientific Reports 9 (1), 2019 | 19 | 2019 |
| Enhanced artificial neural network for protein fold recognition and structural class prediction P Sudha, D Ramyachitra, P Manikandan Gene Reports 12, 261-275, 2018 | 17 | 2018 |
| Review about bioinformatics, databases, sequence alignment, docking, and drug discovery P Lakshmi, D Ramyachitra Statistical modelling and machine learning principles for bioinformatics …, 2020 | 14 | 2020 |
| Bacteria foraging optimization for protein sequence analysis on the grid K Vivekanandan, D Ramyachitra Future Generation Computer Systems 28 (4), 647-656, 2012 | 14 | 2012 |
| Analysis of clustering technique for the diabetes dataset using the training set parameter R Nithya, P Manikandan, D Ramyachitra Int. J. Adv. Res. Comput. Commun. Eng 4 (9), 166-169, 2015 | 11 | 2015 |
| Modified Genetic Algorithm (MGA) based feature selection with Mean Weighted Least Squares Twin Support Vector Machine (MW-LSTSVM) approach for vegetation classification DR V.Shenbagapriya Cluster Computing 22, 13569–1358, 2019 | 9 | 2019 |
| PATSIM: Prediction and analysis of protein sequences using hybrid Knuth-Morris Pratt (KMP) and Boyer-Moore (BM) algorithm P Manikandan, D Ramyachitra Gene 657, 50-59, 2018 | 9 | 2018 |
| MODCSA-CA: a multi objective diversity controlled self adaptive cuckoo algorithm for protein structure prediction D Ramyachitra, A Ajeeth Gene Reports 8, 100-106, 2017 | 9 | 2017 |
| An efficient Bayes classifiers algorithm on 10-fold cross validation for heart disease dataset R Nithya, D Ramyachitra, P Manikandan International Journal of Computational Intelligence and Informatics 5 (3 …, 2015 | 8 | 2015 |
MANIKANDAN PANDURANGANVellore Institute of Technology, Chennai CampusVerified email at vit.ac.in
