Vinod Chandran

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Dian TjondronegoroGriffith UniversityDirección de correo verificada de griffith.edu.au
U Rajendra AcharyaProfessor of Artificial Intelligence in Healthcare,University of Southern Queensland, AustraliaDirección de correo verificada de usq.edu.au
Jasmine BanksQueensland University of TechnologyDirección de correo verificada de ieee.org
Kuang Chua ChuaNgee Ann Polytechnic, SingaporeDirección de correo verificada de np.edu.sg
Clinton FookesQueensland University of TechnologyDirección de correo verificada de qut.edu.au
Inmaculada Tomeo-ReyesUniversity of New South Wales (UNSW)Dirección de correo verificada de unsw.edu.au
Ligang ZhangCQUniversityDirección de correo verificada de cqu.edu.au
Anthony NguyenResearch Team Leader, Commonwealth Scientific and Industrial Research Organisation (CSIRO)Dirección de correo verificada de csiro.au
Simon LuceyProfessor, University of AdelaideDirección de correo verificada de adelaide.edu
Jamie CookDirección de correo verificada de ieee.org
Simon DenmanQueensland University of TechnologyDirección de correo verificada de qut.edu.au
Prof Boualem BoashashEmeritus Professor, UQCCR, The University of Queensland, Brisbane, AustraliaDirección de correo verificada de uq.edu.au
R PrandoliniDefence Science and Technology OrganisationDirección de correo verificada de defence.gov.au
Muthu Rama Krishnan Mookiah, PhDPostdoctoral Researcher, University of Dundee, Scotland, UKDirección de correo verificada de dundee.ac.uk
Chris McCoolProfessor, University of BonnDirección de correo verificada de uni-bonn.de
EYK NgNanyang Technological UniversityDirección de correo verificada de ntu.edu.sg
Andrew StrangeResearch Engineer at CSIRODirección de correo verificada de csiro.au
Augustinus LaudeSenior Consultant OphthalmologistDirección de correo verificada de ttsh.com.sg
Joel Koh En WeiAI Scientist, Cogninet Australia Pty LtdDirección de correo verificada de cogninet.ai
Louis TongProfessor, Eye-ACP, Duke-National University of Singapore Medical School, SingaporeDirección de correo verificada de snec.com.sg

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Vinod Chandran

Retired Professor, School of Electrical Engineering and Computer Science, Queensland University of

Dirección de correo verificada de qut.edu.au

Signal and Image Processing Pattern Recognition Biometrics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Application of higher order statistics/spectra in biomedical signals—A review KC Chua, V Chandran, UR Acharya, CM Lim Medical engineering & physics 32 (7), 679-689, 2010	274	2010
Pattern recognition using invariants defined from higher order spectra-one-dimensional inputs V Chandran, SL Elgar IEEE Transactions on signal processing 41 (1), 205-212, 1993	243	1993
Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors B Nakisa, MN Rastgoo, D Tjondronegoro, V Chandran Expert Systems with Applications 93, 143-155, 2018	209	2018
Cardiac state diagnosis using higher order spectra of heart rate variability KC Chua, V Chandran, UR Acharya, CM Lim Journal of medical engineering & technology 32 (2), 145-155, 2008	173	2008
Application of higher order spectra to identify epileptic EEG KC Chua, V Chandran, UR Acharya, CM Lim Journal of medical systems 35, 1563-1571, 2011	170	2011
Face authentication test on the BANCA database K Messer, J Kittler, M Sadeghi, M Hamouz, A Kostin, F Cardinaux, ... Proceedings of the 17th International Conference on Pattern Recognition …, 2004	150	2004
Breast cancer detection from thermal images using bispectral invariant features M EtehadTavakol, V Chandran, EYK Ng, R Kafieh International Journal of Thermal Sciences 69, 21-36, 2013	142	2013
Pattern recognition using invariants defined from higher order spectra: 2-D image inputs V Chandran, B Carswell, B Boashash, S Elgar IEEE Transactions on Image Processing 6 (5), 703-712, 1997	136	1997
Analysis of epileptic EEG signals using higher order spectra KC Chua, V Chandran, U Rajendra Acharya, CM Lim Journal of medical engineering & technology 33 (1), 42-50, 2009	132	2009
Biometric based cryptographic key generation from faces B Chen, V Chandran 9th Biennial Conference of the Australian Pattern Recognition Society on …, 2007	132	2007
Long short term memory hyperparameter optimization for a neural network based emotion recognition framework B Nakisa, MN Rastgoo, A Rakotonirainy, F Maire, V Chandran IEEE Access 6, 49325-49338, 2018	130	2018
An adaptive optical flow technique for person tracking systems S Denman, V Chandran, S Sridharan Pattern recognition letters 28 (10), 1232-1239, 2007	119	2007
Automatic driver stress level classification using multimodal deep learning MN Rastgoo, B Nakisa, F Maire, A Rakotonirainy, V Chandran Expert Systems with Applications 138, 112793, 2019	117	2019
Random Gabor based templates for facial expression recognition in images with facial occlusion L Zhang, D Tjondronegoro, V Chandran Neurocomputing 145, 451-464, 2014	107	2014
An approach to statistical lip modelling for speaker identification via chromatic feature extraction T Wark, S Sridharan, V Chandran Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998	107	1998
Facial expression analysis under partial occlusion: A survey L Zhang, B Verma, D Tjondronegoro, V Chandran ACM Computing Surveys (CSUR) 51 (2), 1-49, 2018	104	2018
Automatic identification of epileptic electroencephalography signals using higher-order spectra KC Chua, V Chandran, UR Acharya, CM Lim Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2009	100	2009
Application of wavelet techniques for cancer diagnosis using ultrasound images: a review VK Sudarshan, MRK Mookiah, UR Acharya, V Chandran, F Molinari, ... Computers in biology and medicine 69, 97-111, 2016	95	2016
Face recognition from 3d data using iterative closest point algorithm and gaussian mixture models J Cook, V Chandran, S Sridharan, C Fookes Proceedings. 2nd International Symposium on 3D Data Processing …, 2004	91	2004
A general procedure for the derivation of principal domains of higher-order spectra V Chandran, S Elgar IEEE Transactions on Signal Processing 42 (1), 229-233, 1994	90	1994

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