Seuraa
Seetha Hari
Seetha Hari
Professor and Director,AI and Robotics,COE,VIT-AP University,Near Vijayawada,Andhra Pradesh
Vahvistettu sähköpostiosoite verkkotunnuksessa vitap.ac.in
Nimike
Viittaukset
Viittaukset
Vuosi
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
382021
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
212017
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
162017
On improving the generalization of SVM classifier
H Seetha, MN Murty, R Saravanan
Computer Networks and Intelligent Computing, 11-20, 2011
132011
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
122023
An integrated approach explaining the detection of distributed denial of service attacks
RK Batchu, H Seetha
Computer Networks 216, 109269, 2022
112022
On improving the performance of DDoS attack detection system
RK Batchu, H Seetha
Microprocessors and Microsystems 93, 104571, 2022
112022
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
112015
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
102016
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
82018
Text-based sentiment analysis
VP Lijo, H Seetha
International Journal of Knowledge and Learning 12 (1), 1-26, 2017
82017
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
62012
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
52023
High Dimensional Classification-An Overview
S Hari, LJ Gnanasigamani, LV Paulose
Indian Journal of Science and Technology 10, 25, 2017
32017
On improving the classification of imbalanced data
LM Mathews, H Seetha
Cybernetics and Information Technologies 17 (1), 45-62, 2017
32017
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
32011
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
22022
Tweets sentiment analysis using multi-lexicon features and SMO
VP Lijo, H Seetha
International Journal of Embedded Systems 14 (5), 476-485, 2022
22022
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Artikkelit 1–20