S. Suthaharan

Most-cited papers

Machine Learning Models and Algorithms for Big Data Classification
S. Suthaharan
2015559 citations
Semantic Scholar
Big data classification: problems and challenges in network intrusion prediction with machine learning
S. Suthaharan
2014PERV361 citations
Semantic Scholar
Support Vector Machine
S. Suthaharan
2016354 citations
Semantic Scholar
Labelled data collection for anomaly detection in wireless sensor networks
S. Suthaharan, M. Alzahrani, Sutharshan Rajasegarar, C. Leckie +1 more
20102010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing147 citations
Semantic Scholar
An enhanced support vector machine model for urban expansion prediction
Firoozeh Karimi, Selima Sultana, A. S. Babakan, S. Suthaharan
2019Computers, Environment and Urban Systems144 citations
Semantic Scholar
Fragile image watermarking using a gradient image for improved localization and security
S. Suthaharan
2004Pattern Recognition Letters108 citations
Semantic Scholar
Deep Learning Models
S. Suthaharan
201687 citations
Semantic Scholar
No-reference visually significant blocking artifact metric for natural scene images
S. Suthaharan
2009Signal Processing81 citations Open access
Semantic Scholar
Urban expansion modeling using an enhanced decision tree algorithm
Firoozeh Karimi, Selima Sultana, A. S. Babakan, S. Suthaharan
2019GeoInformatica34 citations
Semantic Scholar
Support vector machine classifiers with uncertain knowledge sets via robust optimization
V. Jeyakumar, Guo-Yin Li, S. Suthaharan
201433 citations
Semantic Scholar
Relevance feature selection with data cleaning for intrusion detection system
S. Suthaharan, Tejaswi V. Panchagnula
20122012 Proceedings of IEEE Southeastcon33 citations
Semantic Scholar
An entropy masking model for multimedia content watermarking
Seong-Whan Kim, S. Suthaharan
200437th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the29 citations
Semantic Scholar
Perceptual quality metric for digital video coding
S. Suthaharan
200328 citations
Semantic Scholar
Supervised Learning Algorithms
S. Suthaharan
201624 citations
Semantic Scholar
A perceptually significant block-edge impairment metric for digital video coding
S. Suthaharan
2003IEEE International Conference on Acoustics, Speech, and Signal Processing24 citations
Semantic Scholar
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Yash Bhartia +1 more
2021International Workshop on Semantic Evaluation21 citations Open access
Semantic Scholar
Perceptually tuned robust watermarking scheme for digital images
S. Suthaharan, Seong-Whan Kim, Heung-Kyu Lee, S. Sathananthan
2000Pattern Recognition Letters20 citations
Semantic Scholar
Big data analytics: Machine learning and Bayesian learning perspectives—What is done? What is not?
S. Suthaharan
2018WIREs Data Mining Knowl. Discov.17 citations Open access
Semantic Scholar
Chapter 6 – A Cognitive Random Forest: An Intra- and Intercognitive Computing for Big Data Classification Under Cune Condition
S. Suthaharan
201617 citations
Semantic Scholar
Reduction of queue oscillation in the next generation Internet routers
S. Suthaharan
2007Computer Communications17 citations Open access
Semantic Scholar
Security problems and challenges in a machine learning-based hybrid big data processing network systems
Jeffrey N. Whitworth, S. Suthaharan
2014PERV16 citations Open access
Semantic Scholar
En-face analysis of short posterior ciliary arteries crossing the sclera to choroid using wide-field swept-source optical coherence tomography
R. Lejoyeux, R. Atia, K. Vupparaboina, M. Ibrahim +4 more
2021Scientific Reports15 citations Open access
Semantic Scholar
Logistic Map-Based Fragile Watermarking for Pixel Level Tamper Detection and Resistance
S. Suthaharan
2010EURASIP Journal on Information Security13 citations Open access
Semantic Scholar
Sensor data boundary estimation for anomaly detection in wireless sensor networks
S. Suthaharan, C. Leckie, Masud Moshtaghi, S. Karunasekera +1 more
2010The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010)12 citations
Semantic Scholar
Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space
S. Suthaharan, E. Rossi, V. Snyder, J. Chhablani +3 more
2020Signal Processing11 citations Open access
Semantic Scholar
Modeling and Algorithms
S. Suthaharan
201610 citations
Semantic Scholar
Markov model based congestion control for TCP
S. Suthaharan
2004Annual Simulation Symposium : Proceedings9 citations
Semantic Scholar
Random Forest Learning
S. Suthaharan
20168 citations
Semantic Scholar
Measuring Available Bandwidth: pathChirp's Chirp Train Structure Remodeled
S. Suthaharan, Surender Kumar
2008Australasian Telecommunication Networks and Applications Conference8 citations
Semantic Scholar
A new quality metric based on just-noticeable difference, perceptual regions, edge extraction and human vision
S. Suthaharan, Seong-Whan Kim, K. Rao
2005Canadian journal of electrical and computer engineering8 citations
Semantic Scholar
What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks
David Santana, S. Suthaharan, S. Mohanty
2018arXiv.org7 citations
Semantic Scholar
A unit-circle classification algorithm to characterize back attack and normal traffic for intrusion detection
S. Suthaharan
20122012 IEEE International Conference on Intelligence and Security Informatics7 citations
Semantic Scholar
A no-reference Spatial Aliasing Measure for digital image resizing
A. Reibman, S. Suthaharan
20082008 15th IEEE International Conference on Image Processing7 citations
Semantic Scholar
Science of Information
S. Suthaharan
20166 citations
Semantic Scholar
A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion
S. Suthaharan
2013IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition6 citations
Semantic Scholar
An iterative ellipsoid-based anomaly detection technique for intrusion detection systems
S. Suthaharan
20122012 Proceedings of IEEE Southeastcon6 citations
Semantic Scholar
Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning
R. Joshi, S. Suthaharan
2020International Conference on Machine Learning and Applications5 citations
Semantic Scholar
Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications
Suprateek Kundu, S. Suthaharan
20192019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)5 citations
Semantic Scholar
A correlation-based subspace analysis for data confidentiality and classification as utility in CPS
S. Suthaharan
2016IEEE Conference on Communications and Network Security5 citations
Semantic Scholar
Supervised Learning Models
S. Suthaharan
20165 citations
Semantic Scholar
Optimization: A Journal of Mathematical Programming and Operations Research
S. Suthaharan
20145 citations
Semantic Scholar
Modeling of class imbalance using an empirical approach with spambase dataset and random forest classification
Kiranmayi Kotipalli, S. Suthaharan
2014Conference on Research in Information Technology5 citations Open access
Semantic Scholar
Analysis of Datasets for Network Traffic Classification
Sweta Keshapagu, S. Suthaharan
20135 citations
Semantic Scholar
***Reprinted with permission. No further reproduction is authorized without written permission from Elsevier. This version of the document is not the version of record. Figures and/or pictures may be missing from this format of the document.***
S. Suthaharan
20075 citations
Semantic Scholar
nEGXAI: a negation-based explainable AI through feature learning in Fourier domain
S. Suthaharan
2023NanoScience + Engineering3 citations
Semantic Scholar
Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification
V. Vadakattu, S. Suthaharan
2018International Conference on Machine Learning and Applications3 citations
Semantic Scholar
FLaSKU - a classroom experience with teaching computer networking: is it useful to others in the field?
S. Suthaharan
2014Conference on Information Technology Education3 citations
Semantic Scholar
Intruder detection in public space using suspicious behavior phenomena and wireless sensor networks
S. Suthaharan, S. Bandari
2012SESP '123 citations
Semantic Scholar
Energy Efficient DNA-Based Scheduling Scheme for Wireless Sensor Networks
S. Suthaharan, Abhinav Chawade, R. Jana, Jing Deng
2009Wireless Algorithms, Systems, and Applications3 citations
Semantic Scholar
Chaos-based image encryption scheme using Galois field for fast and secure transmission
S. Suthaharan
2008Electronic imaging3 citations
Semantic Scholar