Savitha Ramasamy

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Suresh SundaramDepartment of Aerospace Engineering, Indian Institute of ScienceVerified email at iisc.ac.in
Sundararajan NRetd. Prof EEE, NTU, SingaporeVerified email at ntu.edu.sg
Kartick SubramanianHealth analytics data scientist at Aon Center for Innovation and AnalyticsVerified email at e.ntu.edu.sg
Hirose, AkiraProfessor of Physics and Engineering Physics, University of SaskatchewanVerified email at usask.ca
ArulMurugan AmbikapathiGroup Lead and Scientist III, DL 2.0, I2R, A*Star SingaporeVerified email at ieee.org
Krishna Kumar NagalingamKongsberg Maritime ASVerified email at kongsberg.com
Dr. Mahanand B SProfessor, SJCE, JSS Science and Technology University, MysuruVerified email at sjce.ac.in
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
Vigneshwaran SubbarajuAgency for Science Technology and Research (A*STAR)Verified email at ihpc.a-star.edu.sg
Ankit DasIHPC, A*STARVerified email at ihpc.a-star.edu.sg
Kazuyuki MuraseInternational Professional University of Technology in Osaka, University of FukuiVerified email at u-fukui.ac.jp
Dr. S. VijayachitraProfessor, Department of Electronics and Instrumentation Engineering, Kongu Engineering CollegeVerified email at kongu.ac.in
G. Sateesh BabuSenior Scientist, Institute for Infocomm ResearchVerified email at i2r.a-star.edu.sg
Saras SaraswathiConsultantVerified email at sidra.org
Steve, S.H. LINGSchool of Electrical and Data Engineering, University of Technology SydneyVerified email at uts.edu.au
Kit Yan ChanCurtin UniversityVerified email at curtin.edu.au
Muhammad Ilias AminSoftware Engineer, All Connect
Phyo Phyo SanData Scientist

Savitha Ramasamy

Institute of Infocomm Research; Senior Member, IEEE

Verified email at i2r.a-star.edu.sg - Homepage

Machine learning Continual Learning Time Series Data Analysis Predictive Analytics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Complex-valued neural networks A Hirose Springer Science & Business Media, 2012	787	2012
Accelerated development of perovskite-inspired materials via high-throughput synthesis and machine-learning diagnosis S Sun, NTP Hartono, ZD Ren, F Oviedo, AM Buscemi, M Layurova, ... Joule 3 (6), 1437-1451, 2019	212	2019
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks F Oviedo, Z Ren, S Sun, C Settens, Z Liu, NTP Hartono, S Ramasamy, ... npj Computational Materials 5 (1), 60, 2019	198	2019
A fully complex-valued radial basis function network and its learning algorithm R Savitha, S Suresh, N Sundararajan International Journal of Neural Systems 19 (04), 253-267, 2009	120	2009
Metacognitive learning in a fully complex-valued radial basis function neural network R Savitha, S Suresh, N Sundararajan Neural computation 24 (5), 1297-1328, 2012	115	2012
Regional ocean wave height prediction using sequential learning neural networks R Savitha, A Al Mamun Ocean Engineering 129, 605-612, 2017	113	2017
Ocean wave height prediction using ensemble of extreme learning machine NK Kumar, R Savitha, A Al Mamun Neurocomputing 277, 12-20, 2018	85	2018
A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm K Subramanian, AK Das, S Sundaram, S Ramasamy Evolving Systems 5, 219-230, 2014	85	2014
A meta-cognitive learning algorithm for an extreme learning machine classifier R Savitha, S Suresh, HJ Kim Cognitive Computation 6, 253-263, 2014	83	2014
A sequential learning algorithm for complex-valued self-regulating resource allocation network-CSRAN S Suresh, R Savitha, N Sundararajan IEEE Transactions on Neural Networks 22 (7), 1061-1072, 2011	82	2011
An evaluation of anomaly detection and diagnosis in multivariate time series A Garg, W Zhang, J Samaran, R Savitha, CS Foo IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2508-2517, 2021	76	2021
Fast learning circular complex-valued extreme learning machine (CC-ELM) for real-valued classification problems R Savitha, S Suresh, N Sundararajan Information sciences 187, 277-290, 2012	76	2012
A new learning algorithm with logarithmic performance index for complex-valued neural networks R Savitha, S Suresh, N Sundararajan, P Saratchandran Neurocomputing 72 (16-18), 3771-3781, 2009	73	2009
A fully complex-valued radial basis function classifier for real-valued classification problems R Savitha, S Suresh, N Sundararajan, HJ Kim Neurocomputing 78 (1), 104-110, 2012	68	2012
A complex-valued neuro-fuzzy inference system and its learning mechanism K Subramanian, R Savitha, S Suresh Neurocomputing 123, 110-120, 2014	66	2014
A meta-cognitive learning algorithm for a fully complex-valued relaxation network R Savitha, S Suresh, N Sundararajan Neural Networks 32, 209-218, 2012	65	2012
Projection-based fast learning fully complex-valued relaxation neural network R Savitha, S Suresh, N Sundararajan IEEE Transactions on Neural Networks and Learning Systems 24 (4), 529-541, 2013	61	2013
Supervised learning with complex-valued neural networks S Suresh, N Sundararajan, R Savitha Springer, 2013	52	2013
Database independent human emotion recognition with meta-cognitive neuro-fuzzy inference system K Subramanian, VB Radhakrishnan, S Ramasamy 2014 IEEE ninth international conference on intelligent sensors, sensor …, 2014	51	2014
A metacognitive complex-valued interval type-2 fuzzy inference system K Subramanian, R Savitha, S Suresh IEEE Transactions on Neural Networks and Learning Systems 25 (9), 1659-1672, 2014	37	2014

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