Shan Suthaharan
Orcid: 0000-0003-3235-9870
According to our database1,
Shan Suthaharan
authored at least 59 papers
between 1994 and 2025.
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Bibliography
2025
A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality.
Proceedings of the 2025 AAAI Spring Symposium Series, 2025
2023
Modeling and simulation of a Tamil language encoder for advanced encryption technologies.
Patterns, July, 2023
LDEB - Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues.
CoRR, 2023
Harnessing the Feature Vectors of VGG-16 for Birds Detection under Geometric Distortions and Brightness.
Proceedings of the 2023 Fifth International Conference on Transdisciplinary AI (TransAI), 2023
Microsaccade Segmentation using Directional Variance Analysis and Artificial Neural Networks.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2021
GeoInformatica, 2021
Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning.
CoRR, 2021
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021
2020
Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space.
Signal Process., 2020
Int. J. Data Sci. Anal., 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
Big data analytics: Machine learning and Bayesian learning perspectives - What is done? What is not?
WIREs Data Mining Knowl. Discov., 2019
Comput. Environ. Urban Syst., 2019
Int. J. Data Sci. Anal., 2019
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019
Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications.
Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019
2018
What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks.
CoRR, 2018
Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018
Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018
2017
A fatal point concept and a low-sensitivity quantitative measure for traffic safety analytics.
CoRR, 2017
2016
Pairing of most relevant variables and bootstrap samples with ridge regression for data sharing.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016
A correlation-based subspace analysis for data confidentiality and classification as utility in CPS.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016
2014
Security problems and challenges in a machine learning-based hybrid big data processing network systems.
SIGMETRICS Perform. Evaluation Rev., 2014
Big data classification: problems and challenges in network intrusion prediction with machine learning.
SIGMETRICS Perform. Evaluation Rev., 2014
FLaSKU - a classroom experience with teaching computer networking: is it useful to others in the field?
Proceedings of the 15th Annual Conference on Information Technology Education, 2014
Modeling of class imbalance using an empirical approach with spambase dataset and random forest classification.
Proceedings of the 3rd annual conference on Research in information technology, 2014
2013
A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
Lame' curve-based signature discovery learning technique for network traffic classification.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013
2012
A unit-circle classification algorithm to characterize back attack and normal traffic for intrusion detection.
Proceedings of the 2012 IEEE International Conference on Intelligence and Security Informatics, 2012
2010
Logistic Map-Based Fragile Watermarking for Pixel Level Tamper Detection and Resistance.
EURASIP J. Inf. Secur., 2010
Proceedings of the IEEE 7th International Conference on Mobile Adhoc and Sensor Systems, 2010
2009
Signal Process., 2009
Proceedings of the Wireless Algorithms, 2009
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009
2008
Chaos-based image encryption scheme using Galois field for fast and secure transmission.
Proceedings of the Real-Time Image Processing 2008, San Jose, CA, USA, January 28-29, 2008, 2008
Proceedings of the International Conference on Image Processing, 2008
2007
Comput. Commun., 2007
2005
Proceedings of the Computational Intelligence for Modelling and Prediction, 2005
2004
Fragile image watermarking using a gradient image for improved localization and security.
Pattern Recognit. Lett., 2004
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004
Proceedings of the Grid and Cooperative Computing, 2004
Proceedings of the Proceedings 37th Annual Simulation Symposium (ANSS-37 2004), 2004
2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
Fuzzy Logic Strategy of Prognosticating TCP's Timeout ad Retransmission.
Proceedings of the FSDK'02, 2002
2001
MPEG-compliant joint source/channel coding using discrete cosine transform and substream scheduling for visual communication over packet networks.
J. Electronic Imaging, 2001
2000
Pattern Recognit. Lett., 2000
Pattern Recognit. Lett., 2000
Perceptually most significant edge detection algorithm for object-based coding.
Proceedings of the Visual Communications and Image Processing 2000, 2000
1999
Real Time Imaging, 1999
Real Time Imaging, 1999
Real Time Imaging, 1999
1997
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
1996
Generation of signal-uncorrelated noise for control experiments in image restoration.
Pattern Recognit. Lett., 1996
Proceedings of the Fourth International Symposium on Signal Processing and Its Applications, 1996
1994
J. Electronic Imaging, 1994