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2020 – today
- 2023
[j23]Shan Suthaharan
:
Modeling and simulation of a Tamil language encoder for advanced encryption technologies. Patterns 4(7): 100740 (2023)- [c31]Adarsh Gadari, Sandeep Chandra Bollepalli, Mohammed Nasar Ibrahim, José-Alain Sahel, 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: 52:1-52:6 - [c30]Shan Suthaharan:
Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds. ICMLA 2023: 194-201 - [c29]Shan Suthaharan, Lee Daniel M. W., Min Zhang, Ethan A. Rossi:
Microsaccade Segmentation using Directional Variance Analysis and Artificial Neural Networks. IRI 2023: 1-6 - [i5]Amitabha Dey, Shan Suthaharan:
LDEB - Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues. CoRR abs/2306.02193 (2023) - 2021
- [j22]Firoozeh Karimi, Selima Sultana, Ali Shirzadi Babakan, Shan Suthaharan:
Urban expansion modeling using an enhanced decision tree algorithm. GeoInformatica 25(4): 715-731 (2021) - [c28]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: 233-242 - [i4]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 abs/2102.12254 (2021) - [i3]Aishwarya Gouru, Shan Suthaharan:
Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning. CoRR abs/2112.02729 (2021) - 2020
- [j21]Shan Suthaharan:
A low-sensitivity quantitative measure for traffic safety data analytics. Int. J. Data Sci. Anal. 9(2): 241-256 (2020) - [j20]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: 107733 (2020) - [c27]Ritu Joshi, Shan Suthaharan:
Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning. ICMLA 2020: 821-826
2010 – 2019
- 2019
- [j19]Shan Suthaharan, Weining Shen:
Elliptical modeling and pattern analysis for perturbation models and classification. Int. J. Data Sci. Anal. 7(2): 103-113 (2019) - [j18]Firoozeh Karimi, Selima Sultana, Ali Shirzadi Babakan, Shan Suthaharan:
An enhanced support vector machine model for urban expansion prediction. Comput. Environ. Urban Syst. 75: 61-75 (2019) - [j17]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) - [c26]Suprateek Kundu, Shan Suthaharan:
Privacy-Preserving Predictive Model Using Factor Analysis for Neuroscience Applications. BigDataSecurity/HPSC/IDS 2019: 67-73 - [c25]Selvarajah Mohanarajah, Gregorry Ross, Shan Suthaharan:
Towards Encapsulated Cyber Security Labs: A Container Based Approach. SIGCSE 2019: 1267 - 2018
- [c24]Shan Suthaharan:
Characterization of differentially private logistic regression. ACM Southeast Regional Conference 2018: 15:1-15:8 - [c23]Shan Suthaharan:
A software engineering schema for data intensive applications. ACM Southeast Regional Conference 2018: 23:1-23:8 - [c22]Vishali Vadakattu, Shan Suthaharan:
Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification. ICMLA 2018: 1290-1295 - [i2]David Santana, Shan Suthaharan, Somya D. Mohanty:
What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks. CoRR abs/1805.01333 (2018) - 2017
- [i1]Shan Suthaharan:
A fatal point concept and a low-sensitivity quantitative measure for traffic safety analytics. CoRR abs/1711.10131 (2017) - 2016
- [c21]Shan Suthaharan, Weining Shen:
Pairing of most relevant variables and bootstrap samples with ridge regression for data sharing. CNS 2016: 384-385 - [c20]Shan Suthaharan:
A correlation-based subspace analysis for data confidentiality and classification as utility in CPS. CNS 2016: 426-431 - 2014
- [j16]Shan Suthaharan:
Big data classification: problems and challenges in network intrusion prediction with machine learning. SIGMETRICS Perform. Evaluation Rev. 41(4): 70-73 (2014) - [j15]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): 82-85 (2014) - [c19]Kiranmayi Kotipalli, Shan Suthaharan:
Modeling of class imbalance using an empirical approach with spambase dataset and random forest classification. RIIT 2014: 75-80 - [c18]Shan Suthaharan:
FLaSKU - a classroom experience with teaching computer networking: is it useful to others in the field? SIGITE 2014: 15-20 - 2013
- [c17]Shan Suthaharan, Laxmi Sunkara, Sweta Keshapagu:
Lame' curve-based signature discovery learning technique for network traffic classification. ISI 2013: 321-326 - [c16]Shan Suthaharan:
A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion. MLDM 2013: 296-310 - 2012
- [c15]Shan Suthaharan:
A unit-circle classification algorithm to characterize back attack and normal traffic for intrusion detection. ISI 2012: 150-152 - 2010
- [j14]Shan Suthaharan:
Logistic Map-Based Fragile Watermarking for Pixel Level Tamper Detection and Resistance. EURASIP J. Inf. Secur. 2010 (2010) - [c14]Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar:
Sensor data boundary estimation for anomaly detection in wireless sensor networks. MASS 2010: 546-551
2000 – 2009
- 2009
- [j13]Shan Suthaharan:
No-reference visually significant blocking artifact metric for natural scene images. Signal Process. 89(8): 1647-1652 (2009) - [c13]Shan Suthaharan:
Enhanced Accuracy Moment Invariants for Biometric Recognition and Cryptosystems. ICIAR 2009: 439-450 - [c12]Shan Suthaharan, Abhinav Chawade, Rittwik Jana, Jing Deng:
Energy Efficient DNA-Based Scheduling Scheme for Wireless Sensor Networks. WASA 2009: 459-468 - 2008
- [c11]Amy R. Reibman, Shan Suthaharan:
A no-reference Spatial Aliasing Measure for digital image resizing. ICIP 2008: 1184-1187 - [c10]Shan Suthaharan:
Chaos-based image encryption scheme using Galois field for fast and secure transmission. Real-Time Image Processing 2008: 681105 - 2007
- [j12]Shan Suthaharan:
Reduction of queue oscillation in the next generation Internet routers. Comput. Commun. 30(18): 3881-3891 (2007) - 2005
- [p1]Zhongwei Zhang, Zhi Li, Shan Suthaharan:
Fuzzy Logic Strategy of Prognosticating TCP's Timeout and Retransmission. Computational Intelligence for Modelling and Prediction 2005: 309-320 - 2004
- [j11]Shan Suthaharan:
Fragile image watermarking using a gradient image for improved localization and security. Pattern Recognit. Lett. 25(16): 1893-1903 (2004) - [j10]Shan Suthaharan, Mrinal K. Mandal:
Low bit-rate multimedia communication. Real Time Imaging 10(5): 275-276 (2004) - [c9]Shan Suthaharan:
Markov Model Based Congestion Control for TCP. Annual Simulation Symposium 2004: 285-292 - [c8]Seong-Whan Kim, Shan Suthaharan:
Perceptually Tuned Packet Scheduler for Video Streaming for DAB Based Access GRID. GCC 2004: 967-970 - [c7]Seong-Whan Kim, Shan Suthaharan:
An Entropy Masking Model for Multimedia Content Watermarking. HICSS 2004 - 2003
- [c6]Shan Suthaharan:
A perceptually significant block-edge impairment metric for digital video coding. ICASSP (3) 2003: 681-684 - [c5]Shan Suthaharan:
A perceptually significant block-edge impairment metric for digital video coding. ICME 2003: 585-588 - 2002
- [c4]Zhongwei Zhang, Zhi Li, Shan Suthaharan:
Fuzzy Logic Strategy of Prognosticating TCP's Timeout ad Retransmission. FSKD 2002: 310-313 - 2001
- [j9]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): 329-338 (2001) - 2000
- [j8]Shan Suthaharan, Seong-Whan Kim, Heung-Kyu Lee, Sivapragasam Sathananthan:
Perceptually tuned robust watermarking scheme for digital images. Pattern Recognit. Lett. 21(2): 145-149 (2000) - [j7]Shan Suthaharan:
Image and edge detail detection algorithm for object-based coding. Pattern Recognit. Lett. 21(6-7): 549-557 (2000) - [j6]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): 325-326 (2000) - [c3]Shan Suthaharan, Hong Ren Wu, K. R. Rao:
Perceptually most significant edge detection algorithm for object-based coding. VCIP 2000: 328-335
1990 – 1999
- 1999
- [j5]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): 293-294 (1999) - [j4]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): 329-339 (1999) - [j3]Bin Qiu, Shan Suthaharan, Hong Ren Wu:
Neuro-Fuzzy Modeling and Prediction of VBR MPEG Video Sources. Real Time Imaging 5(5): 359-363 (1999) - 1997
- [c2]Shan Suthaharan, Zhongwei Zhang:
SNR Optimization Using Genetic Algorithm. ICIP (1) 1997: 295-297 - 1996
- [j2]Shan Suthaharan, S. Ray:
Generation of signal-uncorrelated noise for control experiments in image restoration. Pattern Recognit. Lett. 17(3): 219-230 (1996) - [c1]Shan Suthaharan, Hong Ren Wu:
Adaptive-Neighbourhood Image Filtering for Mpeg-1 Coded Images. ISSPA 1996: 166-167 - 1994
- [j1]Shan Suthaharan:
New SNR estimate for the Wiener filter to image restoration. J. Electronic Imaging 3(4): 379-389 (1994)
Coauthor Index
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