Các bài viết có thể truy cập công khai - Suresh SundaramTìm hiểu thêm
Không có ở bất kỳ nơi nào: 6
Quantized insensitive consensus of Lipschitz nonlinear multi-agent systems using the incidence matrix
XG Guo, JL Wang, F Liao, S Suresh, S Narasimalu
Journal of the Franklin Institute 352 (11), 4845-4863, 2015
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
A fully complex-valued fast learning classifier (FC-FLC) for real-valued classification problems
M Sivachitra, R Savitha, S Suresh, S Vijayachitra
Neurocomputing 149, 198-206, 2015
Các cơ quan ủy nhiệm: Council of Scientific and Industrial Research, India, Department of …
Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem
A Jeyasothy, S Ramasamy, S Sundaram
Expert Systems with Applications 178, 114985, 2021
Các cơ quan ủy nhiệm: A*Star, Singapore
An enhanced effect-size thresholding method for the diagnosis of Autism spectrum disorder using resting state functional MRI
BS Mahanand, S Vigneshwaran, S Suresh, N Sundararajan
2016 Second International Conference on Cognitive Computing and Information …, 2016
Các cơ quan ủy nhiệm: US National Institutes of Health
Metacognitive Learning Neural Classifier for Alzheimer’s Disease Detection
BS Mahanand, S Babu G, S Suresh
FANCCO, 2014
Các cơ quan ủy nhiệm: US National Institutes of Health, Canadian Institutes of Health Research
Robust and Scalable Indoor Robot Localization Based on Fusion of Infrastructure Camera Feeds and On-Board Sensors
P JD, R Krishnapuram, M Bharatheesha, B Amrutur, S Sundaram
Proceedings of the 2023 6th International Conference on Advances in Robotics …, 2023
Các cơ quan ủy nhiệm: Department of Science & Technology, India
Có tại một số nơi: 10
Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging: A spatial filtering …
V Subbaraju, MB Suresh, S Sundaram, S Narasimhan
Medical image analysis 35, 375-389, 2017
Các cơ quan ủy nhiệm: US National Institutes of Health
Tf-gczsl: Task-free generalized continual zero-shot learning
C Gautam, S Parameswaran, A Mishra, S Sundaram
Neural Networks 155, 487-497, 2022
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
A Scenario-Based Branch-and-Bound Approach for MES Scheduling in Urban Buildings
M. Dan, S. Srinivasan, S. Sundaram, A. Easwaran and L. Glielmo
IEEE Transactions on Industrial Informatics 16 (12), 7510-7520, 2020
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer
V Sachnev, S Saraswathi, R Niaz, A Kloczkowski, S Suresh
BMC bioinformatics 16, 1-12, 2015
Các cơ quan ủy nhiệm: US National Institutes of Health
Development of a novel transformation of spiking neural classifier to an interpretable classifier
A Jeyasothy, S Suresh, S Ramasamy, N Sundararajan
IEEE Transactions on Cybernetics 54 (1), 3-12, 2022
Các cơ quan ủy nhiệm: A*Star, Singapore, National Research Foundation, Singapore
A fast and self-adaptive on-line learning detection system
M Prasad, DR Zheng, D Mery, D Puthal, S Sundaram, CT Lin
Procedia computer science 144, 13-22, 2018
Các cơ quan ủy nhiệm: US Department of Defense
A MATLAB toolbox for surrogate-assisted multi-objective optimization: A preliminary study
A Al-Dujaili, S Suresh
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Refinement matters: Textual description needs to be refined for zero-shot learning
C Gautam, S Parameswaran, V Verma, S Sundaram, S Ramasamy
Findings of the Association for Computational Linguistics: EMNLP 2022, 6127-6140, 2022
Các cơ quan ủy nhiệm: National Research Foundation, Singapore
Online video streaming for human tracking based on weighted resampling particle filter
M Prasad, LC Chang, D Gupta, M Pratama, S Sundaram, CT Lin
Procedia computer science 144, 2-12, 2018
Các cơ quan ủy nhiệm: US Department of Defense
Regularized Spatial Filtering Method (R-SFM) for detection of Attention Deficit Hyperactivity Disorder (ADHD) from resting-state functional Magnetic Resonance Imaging (rs-fMRI)
N Sundararajan, A Aradhya, V Subbaraju, S Sundaram
Các cơ quan ủy nhiệm: A*Star, Singapore
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