Shan Suthaharan

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 24

Top Topics

Differentially Private

Riemannian Manifolds

Top Venues

ACM Southeast Regional Conference

SIGMETRICS Perform. Evaluation Rev.

Publications

Shan Suthaharan
Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds. ICMLA (2023)
Shan Suthaharan
Modeling and simulation of a Tamil language encoder for advanced encryption technologies. Patterns 4 (7) (2023)
Amitabha Dey, Shan Suthaharan
LDEB - Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues. CoRR (2023)
Shan Suthaharan, Lee Daniel M. W., Min Zhang, Ethan A. Rossi
Microsaccade Segmentation using Directional Variance Analysis and Artificial Neural Networks. IRI (2023)
Adarsh Gadari, Sandeep Chandra Bollepalli, Mohammed Nasar Ibrahim, Sahel Jose'-Alian, Jay Chhablani, Shan Suthaharan, Kiran Kumar Vupparaboina
Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network. BCB (2023)
Firoozeh Karimi, Selima Sultana, Ali Shirzadi Babakan, Shan Suthaharan
Urban expansion modeling using an enhanced decision tree algorithm. GeoInformatica 25 (4) (2021)
Gunjan Chhablani, Yash Bhartia, Abheesht Sharma, Harshit Pandey, Shan Suthaharan
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques. CoRR (2021)
Aishwarya Gouru, Shan Suthaharan
Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning. CoRR (2021)
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Yash Bhartia, Shan Suthaharan
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques. SemEval@ACL/IJCNLP (2021)
Ritu Joshi, Shan Suthaharan
Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning. ICMLA (2020)
Shan Suthaharan, Ethan A. Rossi, Valerie Snyder, Jay Chhablani, Raphael Lejoyeux, José-Alain Sahel, Kunal K. Dansingani
Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space. Signal Process. 177 (2020)
Shan Suthaharan
A low-sensitivity quantitative measure for traffic safety data analytics. Int. J. Data Sci. Anal. 9 (2) (2020)
Firoozeh Karimi, Selima Sultana, Ali Shirzadi Babakan, Shan Suthaharan
An enhanced support vector machine model for urban expansion prediction. Comput. Environ. Urban Syst. 75 (2019)
Shan Suthaharan
Big data analytics: Machine learning and Bayesian learning perspectives - What is done? What is not? WIREs Data Mining Knowl. Discov. 9 (1) (2019)
Selvarajah Mohanarajah, Gregorry Ross, Shan Suthaharan
Towards Encapsulated Cyber Security Labs: A Container Based Approach. SIGCSE (2019)
Suprateek Kundu, Shan Suthaharan
Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications. BigDataSecurity/HPSC/IDS (2019)
Shan Suthaharan, Weining Shen
Elliptical modeling and pattern analysis for perturbation models and classification. Int. J. Data Sci. Anal. 7 (2) (2019)
Shan Suthaharan
Characterization of differentially private logistic regression. ACM Southeast Regional Conference (2018)
Shan Suthaharan
A software engineering schema for data intensive applications. ACM Southeast Regional Conference (2018)
David Santana, Shan Suthaharan, Somya D. Mohanty
What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks. CoRR (2018)
Vishali Vadakattu, Shan Suthaharan
Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification. ICMLA (2018)
Shan Suthaharan
A fatal point concept and a low-sensitivity quantitative measure for traffic safety analytics. CoRR (2017)
Shan Suthaharan
A correlation-based subspace analysis for data confidentiality and classification as utility in CPS. CNS (2016)
Shan Suthaharan, Weining Shen
Pairing of most relevant variables and bootstrap samples with ridge regression for data sharing. CNS (2016)
Kiranmayi Kotipalli, Shan Suthaharan
Modeling of class imbalance using an empirical approach with spambase dataset and random forest classification. RIIT (2014)
Shan Suthaharan
Big data classification: problems and challenges in network intrusion prediction with machine learning. SIGMETRICS Perform. Evaluation Rev. 41 (4) (2014)
Shan Suthaharan
FLaSKU - a classroom experience with teaching computer networking: is it useful to others in the field? SIGITE (2014)
Jeff Whitworth, Shan Suthaharan
Security problems and challenges in a machine learning-based hybrid big data processing network systems. SIGMETRICS Perform. Evaluation Rev. 41 (4) (2014)
Shan Suthaharan, Laxmi Sunkara, Sweta Keshapagu
Lame' curve-based signature discovery learning technique for network traffic classification. ISI (2013)
Shan Suthaharan
A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion. MLDM (2013)
Shan Suthaharan
A unit-circle classification algorithm to characterize back attack and normal traffic for intrusion detection. ISI (2012)
Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar
Sensor data boundary estimation for anomaly detection in wireless sensor networks. MASS (2010)
Shan Suthaharan
Logistic Map-Based Fragile Watermarking for Pixel Level Tamper Detection and Resistance. EURASIP J. Inf. Secur. 2010 (2010)
Shan Suthaharan
Enhanced Accuracy Moment Invariants for Biometric Recognition and Cryptosystems. ICIAR (2009)
Shan Suthaharan
No-reference visually significant blocking artifact metric for natural scene images. Signal Process. 89 (8) (2009)
Shan Suthaharan, Abhinav Chawade, Rittwik Jana, Jing Deng
Energy Efficient DNA-Based Scheduling Scheme for Wireless Sensor Networks. WASA (2009)
Amy R. Reibman, Shan Suthaharan
A no-reference Spatial Aliasing Measure for digital image resizing. ICIP (2008)
Shan Suthaharan
Chaos-based image encryption scheme using Galois field for fast and secure transmission. Real-Time Image Processing (2008)
Shan Suthaharan
Reduction of queue oscillation in the next generation Internet routers. Comput. Commun. 30 (18) (2007)
Seong-Whan Kim, Shan Suthaharan
An Entropy Masking Model for Multimedia Content Watermarking. HICSS (2004)
Shan Suthaharan
Fragile image watermarking using a gradient image for improved localization and security. Pattern Recognit. Lett. 25 (16) (2004)
Shan Suthaharan
Markov Model Based Congestion Control for TCP. Annual Simulation Symposium (2004)
Seong-Whan Kim, Shan Suthaharan
Perceptually Tuned Packet Scheduler for Video Streaming for DAB Based Access GRID. GCC (2004)
Shan Suthaharan, Mrinal K. Mandal
Low bit-rate multimedia communication. Real Time Imaging 10 (5) (2004)
Shan Suthaharan
A perceptually significant block-edge impairment metric for digital video coding. ICME (2003)
Shan Suthaharan
A perceptually significant block-edge impairment metric for digital video coding. ICASSP (3) (2003)
Zhongwei Zhang, Zhi Li, Shan Suthaharan
Fuzzy Logic Strategy of Prognosticating TCP's Timeout ad Retransmission. FSKD (2002)
Seong-Whan Kim, Shan Suthaharan, Heung-Kyu Lee, K. R. Rao
MPEG-compliant joint source/channel coding using discrete cosine transform and substream scheduling for visual communication over packet networks. J. Electronic Imaging 10 (1) (2001)
Shan Suthaharan, Hong Ren Wu, K. R. Rao
Perceptually most significant edge detection algorithm for object-based coding. VCIP (2000)
Shan Suthaharan, Sivapragasam Sathananthan, Carl Pantsios Markhauser, Ling Guan
Guest Editorial: Special Issue on Real-Time Digital Video over Multimedia Networks. Real Time Imaging 6 (5) (2000)
Shan Suthaharan
Image and edge detail detection algorithm for object-based coding. Pattern Recognit. Lett. 21 (6-7) (2000)
Shan Suthaharan, Seong-Whan Kim, Heung-Kyu Lee, Sivapragasam Sathananthan
Perceptually tuned robust watermarking scheme for digital images. Pattern Recognit. Lett. 21 (2) (2000)
Shan Suthaharan, Sivapragasam Sathananthan, Carl Pantsios Markhauser, Ling Guan
Guest Editorial: Special Issue on Real-Time Digital Video over Multimedia Networks. Real Time Imaging 5 (5) (1999)
Seong-Whan Kim, Shan Suthaharan, Geun-Ho Lee, Heung-Kyu Lee, K. R. Rao
Joint Source/Channel Coding to Maximize Perceptual Video Quality on Packet Networks. Real Time Imaging 5 (5) (1999)
Bin Qiu, Shan Suthaharan, Hong Ren Wu
Neuro-Fuzzy Modeling and Prediction of VBR MPEG Video Sources. Real Time Imaging 5 (5) (1999)
Shan Suthaharan, Zhongwei Zhang
SNR Optimization Using Genetic Algorithm. ICIP (1) (1997)
Shan Suthaharan, S. Ray
Generation of signal-uncorrelated noise for control experiments in image restoration. Pattern Recognit. Lett. 17 (3) (1996)
Shan Suthaharan, Hong Ren Wu
Adaptive-Neighbourhood Image Filtering for Mpeg-1 Coded Images. ISSPA (1996)
Shan Suthaharan
New SNR estimate for the Wiener filter to image restoration. J. Electronic Imaging 3 (4) (1994)