| A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning RK Batchu, H Seetha Computer Networks 200, 108498, 2021 | 44 | 2021 |
| Short term electric load prediction using Fuzzy BP HSR Saravanan Journal of Computing and Information Technology 15 (3), 267-282, 2007 | 31* | 2007 |
| Modern Technologies for Big Data Classification and Clustering S Hari, MN Murthy, BK Tripathy IGI Global, 2017 | 21 | 2017 |
| Preface to- Modern Technologies for Big Data Classification and Clustering S Hari, MN Murthy, BK Tripathy IGI Global, 2017 | 17* | 2017 |
| Learning from Imbalance data L Mathews, S Hari Encyclopedia of Information Science and Technology 4, 1825-1834, 2017 | 15 | 2017 |
| A hybrid detection system for DDoS attacks based on deep sparse autoencoder and light gradient boost machine RK Batchu, H Seetha Journal of Information & Knowledge Management 22 (01), 2250071, 2023 | 14 | 2023 |
| An integrated approach explaining the detection of distributed denial of service attacks RK Batchu, H Seetha Computer Networks 216, 109269, 2022 | 12 | 2022 |
| On improving the generalization of SVM classifier H Seetha, MN Murty, R Saravanan Computer Networks and Intelligent Computing, 11-20, 2011 | 12 | 2011 |
| On improving the performance of DDoS attack detection system RK Batchu, H Seetha Microprocessors and Microsystems 93, 104571, 2022 | 11 | 2022 |
| Effective feature selection technique for text classification H Seetha, MN Murty, R Saravanan International Journal of Data Mining, Modelling and Management 7 (3), 165-184, 2015 | 11 | 2015 |
| Classification by majority voting in feature partitions H Seetha, MN Murty, R Saravanan International Journal of Information and Decision Sciences 8 (2), 109-124, 2016 | 10 | 2016 |
| A review on recent approaches of machine learning, deep learning, and explainable artificial intelligence in intrusion detection systems SB Mallampati, S Hari Majlesi Journal of Electrical Engineering 17 (1), 29-54, 2023 | 9 | 2023 |
| Uncertainty-based clustering algorithms for large data sets BK Tripathy, H Seetha, MN Murty Modern Technologies for Big Data Classification and Clustering, 1-33, 2018 | 8 | 2018 |
| Text-based sentiment analysis VP Lijo, H Seetha International Journal of Knowledge and Learning 12 (1), 1-26, 2017 | 8 | 2017 |
| Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification H Seetha, R Saravanan, MN Murty Cybernetics and Information Technologies 12 (4), 77-94, 2012 | 6 | 2012 |
| On improving the classification of imbalanced data LM Mathews, H Seetha Cybernetics and Information Technologies 17 (1), 45-62, 2017 | 5 | 2017 |
| High dimensional classification-an overview S Hari, LJ Gnanasigamani, LV Paulose Indian Journal of Science and Technology, 2017 | 3 | 2017 |
| A Note on the Effect of Bootstrapping and Clustering on the Generalization Performance H Seetha, MNMurty, SaravananR International Journal of Information Processing, 5 (4), 19-34, 2011 | 3 | 2011 |
| CF-AMVRGO: Collaborative Filtering based Adaptive Moment Variance Reduction Gradient Optimizer for Movie Recommendations V Lakshmi Chetana, H Seetha International Journal of Computers and Applications 44 (11), 1015-1023, 2022 | 2 | 2022 |
| Tweets sentiment analysis using multi-lexicon features and SMO VP Lijo, H Seetha International Journal of Embedded Systems 14 (5), 476-485, 2022 | 2 | 2022 |
Saravanan RSenior Professor, School of Computer Science and Engineering, VIT University, Vellore, IndiaVerified email at vit.ac.in
