Shan Suthaharan

63 papers A 2B 2C 6Misc 2Journal 29Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality. AAAI Spring Symposia Shan Suthaharan
2025	J	`jnl`	A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality. CoRR Shan Suthaharan
2023	C	`conf`	Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds. ICMLA Shan Suthaharan
2023	—	`conf`	Harnessing the Feature Vectors of VGG-16 for Birds Detection under Geometric Distortions and Brightness. TransAI Shan Suthaharan
2023	J	`jnl`	LDEB - Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues. CoRR Amitabha Dey, Shan Suthaharan
2023	Misc	`conf`	Microsaccade Segmentation using Directional Variance Analysis and Artificial Neural Networks. IRI Shan Suthaharan, Lee Daniel M. W., Min Zhang, Ethan A. Rossi
2023	J	`jnl`	Modeling and simulation of a Tamil language encoder for advanced encryption technologies. Patterns Shan Suthaharan
2023	—	`conf`	Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network. BCB Adarsh Gadari, Sandeep Chandra Bollepalli, Mohammed Nasar Ibrahim, José-Alain Sahel, Jay Chhablani, Shan Suthaharan, Kiran Kumar Vupparaboina
2021	J	`jnl`	Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning. CoRR Aishwarya Gouru, Shan Suthaharan
2021	—	`conf`	NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques. SemEval@ACL/IJCNLP Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Yash Bhartia, Shan Suthaharan
2021	J	`jnl`	NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques. CoRR Gunjan Chhablani, Yash Bhartia, Abheesht Sharma, Harshit Pandey, Shan Suthaharan
2021	J	`jnl`	Urban expansion modeling using an enhanced decision tree algorithm. GeoInformatica Firoozeh Karimi, Selima Sultana, Ali Shirzadi Babakan, Shan Suthaharan
2020	J	`jnl`	A low-sensitivity quantitative measure for traffic safety data analytics. Int. J. Data Sci. Anal. Shan Suthaharan
2020	J	`jnl`	Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space. Signal Process. Shan Suthaharan, Ethan A. Rossi, Valerie Snyder, Jay Chhablani, Raphael Lejoyeux, José-Alain Sahel, Kunal K. Dansingani
2020	C	`conf`	Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning. ICMLA Ritu Joshi, Shan Suthaharan
2019	J	`jnl`	An enhanced support vector machine model for urban expansion prediction. Comput. Environ. Urban Syst. Firoozeh Karimi, Selima Sultana, Ali Shirzadi Babakan, Shan Suthaharan
2019	J	`jnl`	Big data analytics: Machine learning and Bayesian learning perspectives - What is done? What is not? WIREs Data Mining Knowl. Discov. Shan Suthaharan
2019	J	`jnl`	Elliptical modeling and pattern analysis for perturbation models and classification. Int. J. Data Sci. Anal. Shan Suthaharan, Weining Shen
2019	—	`conf`	Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications. BigDataSecurity/HPSC/IDS Suprateek Kundu, Shan Suthaharan
2019	A	`conf`	Towards Encapsulated Cyber Security Labs: A Container Based Approach. SIGCSE Selvarajah Mohanarajah, Gregorry Ross, Shan Suthaharan
2018	—	`conf`	A software engineering schema for data intensive applications. ACM Southeast Regional Conference Shan Suthaharan
2018	—	`conf`	Characterization of differentially private logistic regression. ACM Southeast Regional Conference Shan Suthaharan
2018	C	`conf`	Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification. ICMLA Vishali Vadakattu, Shan Suthaharan
2018	J	`jnl`	What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks. CoRR David Santana, Shan Suthaharan, Somya D. Mohanty
2017	J	`jnl`	A fatal point concept and a low-sensitivity quantitative measure for traffic safety analytics. CoRR Shan Suthaharan
2016	—	`conf`	A correlation-based subspace analysis for data confidentiality and classification as utility in CPS. CNS Shan Suthaharan
2016	—	`conf`	Pairing of most relevant variables and bootstrap samples with ridge regression for data sharing. CNS Shan Suthaharan, Weining Shen
2014	J	`jnl`	Big data classification: problems and challenges in network intrusion prediction with machine learning. SIGMETRICS Perform. Evaluation Rev. Shan Suthaharan
2014	Misc	`conf`	FLaSKU - a classroom experience with teaching computer networking: is it useful to others in the field? SIGITE Shan Suthaharan
2014	—	`conf`	Modeling of class imbalance using an empirical approach with spambase dataset and random forest classification. RIIT Kiranmayi Kotipalli, Shan Suthaharan
2014	J	`jnl`	Security problems and challenges in a machine learning-based hybrid big data processing network systems. SIGMETRICS Perform. Evaluation Rev. Jeff Whitworth, Shan Suthaharan
2013	—	`conf`	A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion. MLDM Shan Suthaharan
2013	C	`conf`	Lame' curve-based signature discovery learning technique for network traffic classification. ISI Shan Suthaharan, Laxmi Sunkara, Sweta Keshapagu
2012	C	`conf`	A unit-circle classification algorithm to characterize back attack and normal traffic for intrusion detection. ISI Shan Suthaharan
2010	J	`jnl`	Logistic Map-Based Fragile Watermarking for Pixel Level Tamper Detection and Resistance. EURASIP J. Inf. Secur. Shan Suthaharan
2010	B	`conf`	Sensor data boundary estimation for anomaly detection in wireless sensor networks. MASS Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar
2009	—	`conf`	Energy Efficient DNA-Based Scheduling Scheme for Wireless Sensor Networks. WASA Shan Suthaharan, Abhinav Chawade, Rittwik Jana, Jing Deng
2009	—	`conf`	Enhanced Accuracy Moment Invariants for Biometric Recognition and Cryptosystems. ICIAR Shan Suthaharan
2009	J	`jnl`	No-reference visually significant blocking artifact metric for natural scene images. Signal Process. Shan Suthaharan
2008	B	`conf`	A no-reference Spatial Aliasing Measure for digital image resizing. ICIP Amy R. Reibman, Shan Suthaharan
2008	—	`conf`	Chaos-based image encryption scheme using Galois field for fast and secure transmission. Real-Time Image Processing Shan Suthaharan
2007	J	`jnl`	Reduction of queue oscillation in the next generation Internet routers. Comput. Commun. Shan Suthaharan
2005	—	`ch.`	Fuzzy Logic Strategy of Prognosticating TCP's Timeout and Retransmission. Computational Intelligence for Modelling and Prediction Zhongwei Zhang, Zhi Li, Shan Suthaharan
2004	—	`conf`	An Entropy Masking Model for Multimedia Content Watermarking. HICSS Seong-Whan Kim, Shan Suthaharan
2004	J	`jnl`	Fragile image watermarking using a gradient image for improved localization and security. Pattern Recognit. Lett. Shan Suthaharan
2004	J	`jnl`	Low bit-rate multimedia communication. Real Time Imaging Shan Suthaharan, Mrinal K. Mandal
2004	—	`conf`	Markov Model Based Congestion Control for TCP. Annual Simulation Symposium Shan Suthaharan
2004	—	`conf`	Perceptually Tuned Packet Scheduler for Video Streaming for DAB Based Access GRID. GCC Seong-Whan Kim, Shan Suthaharan
2003	—	`conf`	A perceptually significant block-edge impairment metric for digital video coding. ICASSP (3) Shan Suthaharan
2003	A	`conf`	A perceptually significant block-edge impairment metric for digital video coding. ICME Shan Suthaharan
2002	—	`conf`	Fuzzy Logic Strategy of Prognosticating TCP's Timeout ad Retransmission. FSKD Zhongwei Zhang, Zhi Li, Shan Suthaharan
2001	J	`jnl`	MPEG-compliant joint source/channel coding using discrete cosine transform and substream scheduling for visual communication over packet networks. J. Electronic Imaging Seong-Whan Kim, Shan Suthaharan, Heung-Kyu Lee, K. R. Rao
2000	J	`jnl`	Guest Editorial: Special Issue on Real-Time Digital Video over Multimedia Networks. Real Time Imaging Shan Suthaharan, Sivapragasam Sathananthan, Carl Pantsios Markhauser, Ling Guan
2000	J	`jnl`	Image and edge detail detection algorithm for object-based coding. Pattern Recognit. Lett. Shan Suthaharan
2000	C	`conf`	Perceptually most significant edge detection algorithm for object-based coding. VCIP Shan Suthaharan, Hong Ren Wu, K. R. Rao
2000	J	`jnl`	Perceptually tuned robust watermarking scheme for digital images. Pattern Recognit. Lett. Shan Suthaharan, Seong-Whan Kim, Heung-Kyu Lee, Sivapragasam Sathananthan
1999	J	`jnl`	Guest Editorial: Special Issue on Real-Time Digital Video over Multimedia Networks. Real Time Imaging Shan Suthaharan, Sivapragasam Sathananthan, Carl Pantsios Markhauser, Ling Guan
1999	J	`jnl`	Joint Source/Channel Coding to Maximize Perceptual Video Quality on Packet Networks. Real Time Imaging Seong-Whan Kim, Shan Suthaharan, Geun-Ho Lee, Heung-Kyu Lee, K. R. Rao
1999	J	`jnl`	Neuro-Fuzzy Modeling and Prediction of VBR MPEG Video Sources. Real Time Imaging Bin Qiu, Shan Suthaharan, Hong Ren Wu
1997	—	`conf`	SNR Optimization Using Genetic Algorithm. ICIP (1) Shan Suthaharan, Zhongwei Zhang
1996	—	`conf`	Adaptive-Neighbourhood Image Filtering for Mpeg-1 Coded Images. ISSPA Shan Suthaharan, Hong Ren Wu
1996	J	`jnl`	Generation of signal-uncorrelated noise for control experiments in image restoration. Pattern Recognit. Lett. Shan Suthaharan, S. Ray
1994	J	`jnl`	New SNR estimate for the Wiener filter to image restoration. J. Electronic Imaging Shan Suthaharan