J. Pieter de Villiers

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Erik BlaschAir Force Research LaboratoryDirección de correo verificada de wpafb.af.mil
Alta de WaalUniversity of PretoriaDirección de correo verificada de up.ac.za
Paulo CostaProfessor, George Mason UniversityDirección de correo verificada de gmu.edu
Kathryn B. LaskeyProfessor of Systems Engineering and Operations Research, George Mason UniversityDirección de correo verificada de gmu.edu
Conrad BeyersUniversity of Pretoria, Absa Chair in Actuarial ScienceDirección de correo verificada de up.ac.za
Joel Janek DabrowskiCSIRODirección de correo verificada de data61.csiro.au
Allan De FreitasUniversity of PretoriaDirección de correo verificada de up.ac.za
Theo HeynsUniversity of California, San DiegoDirección de correo verificada de ucsd.edu
Willie NelCouncil for scientific and industrial researchDirección de correo verificada de csir.co.za
J. P. JacobsUniversity of PretoriaDirección de correo verificada de up.ac.za
Dr Hildegarde KoenCSIR PretoriaDirección de correo verificada de csir.co.za
Stephan HeynsUniversity of PretoriaDirección de correo verificada de up.ac.za
Stephan SchmidtUniversity of PretoriaDirección de correo verificada de up.ac.za
Simon GodsillUniversity of CambridgeDirección de correo verificada de eng.cam.ac.uk
Arno BothaPh.D, University of Pretoria; North-West UniversityDirección de correo verificada de tuks.co.za
Etienne AckermannLN PrawnsDirección de correo verificada de rice.edu
Michael InggsUniversity of Cape TownDirección de correo verificada de uct.ac.za
Jocelyn MazaruraDepartment of Statistics, University of PretoriaDirección de correo verificada de up.ac.za
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongDirección de correo verificada de uow.edu.au
Massimo MezzavillaDepartment of Biology, University of Padova, ItalyDirección de correo verificada de unipd.it

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J. Pieter de Villiers

Professor, University of Pretoria, Pretoria, South Africa

Dirección de correo verificada de up.ac.za

Data fusion Statistical Signal Processing Machine Learning Pattern Recognition Radar


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A tacholess order tracking methodology based on a probabilistic approach to incorporate angular acceleration information into the maxima tracking process S Schmidt, PS Heyns, JP De Villiers Mechanical Systems and Signal Processing 100, 630-646, 2018	103	2018
Systemic banking crisis early warning systems using dynamic Bayesian networks JJ Dabrowski, C Beyers, JP de Villiers Expert systems with applications 62, 225-242, 2016	80	2016
Maritime piracy situation modelling with dynamic Bayesian networks JJ Dabrowski, JP de Villiers Information Fusion 23, 116–130, 2015	76	2015
Micro-Doppler radar classification of humans and animals in an operational environment WD Van Eeden, JP De Villiers, RJ Berndt, WAJ Nel, E Blasch Expert Systems with Applications 102, 1-11, 2018	68	2018
Statistical gear health analysis which is robust to fluctuating loads and operating speeds T Heyns, SJ Godsill, JP De Villiers, PS Heyns Mechanical Systems and Signal Processing 27, 651-666, 2012	66	2012
Combining synchronous averaging with a Gaussian mixture model novelty detection scheme for vibration-based condition monitoring of a gearbox T Heyns, PS Heyns, JP De Villiers Mechanical Systems and Signal Processing 32, 200-215, 2012	64	2012
Gaussian process modeling of CPW-FED slot antennas JP De Villiers, JP Jacobs Progress In Electromagnetics Research 98, 233-249, 2009	50	2009
A novelty detection diagnostic methodology for gearboxes operating under fluctuating operating conditions using probabilistic techniques S Schmidt, PS Heyns, JP De Villiers Mechanical systems and signal processing 100, 152-166, 2018	44	2018
Uncertainty representation, quantification and evaluation for data and information fusion JP de Villiers, K Laskey, AL Jousselme, E Blasch, A de Waal, G Pavlin, ... 2015 18th International Conference on Information Fusion (Fusion), 50-57, 2015	38	2015
Nonlinear dynamic systems modeling using Gaussian processes: Predicting ionospheric total electron content over South Africa ER Ackermann, JP De Villiers, PJ Cilliers Journal of Geophysical Research: Space Physics 116 (A10), 2011	36	2011
Gaussian-process-regression-based design of ultrawide-band and dual-band CPW-fed slot antennas JP Jacobs, JP De Villiers Journal of Electromagnetic Waves and Applications 24 (13), 1763-1772, 2010	35	2010
Evaluation metrics for the practical application of URREF ontology: An illustration on data criteria JP de Villiers, RW Focke, G Pavlin, AL Jousselme, V Dragos, KB Laskey, ... 2017 20th International Conference on Information Fusion (Fusion), 1-8, 2017	31	2017
URREF: Uncertainty representation and reasoning evaluation framework for information fusion P Costa, AL Jousselme, KB Laskey, E Blasch, V Dragos, J Ziegler, ... Journal of Advances in Information Fusion 13 (2), 137-157, 2019	30	2019
A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation T Heyns, PS Heyns, JP De Villiers Journal of Terramechanics 49 (2), 103-113, 2012	28	2012
Uncertainty representation and evaluation for modelling and decision-making in information fusion JP De Villiers, G Pavlin, AL Jousselme, S Maskell, A De Waal, K Laskey, ... Journal of Advances in Information Fusion 13 (2), 198, 2018	27	2018
A framework for inferring predictive distributions of rhino poaching events through causal modelling H Koen, JP de Villiers, G Pavlin, A de Waal, P de Oude, F Mignet 17th International Conference on Information Fusion (FUSION), 1-7, 2014	26	2014
An expert-driven causal model of the rhino poaching problem H Koen, JP De Villiers, H Roodt, A De Waal Ecological Modelling 347, 29-39, 2017	25	2017
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation A Almeida, JP de Villiers, A De Freitas, M Velayudan Expert Systems with Applications 192, 116335, 2022	23	2022
Construction and evaluation of Bayesian networks with expert-defined latent variables A de Waal, H Koen, P de Villiers, H Roodt, N Moorosi, G Pavlin 2016 19th international conference on information fusion (fusion), 774-781, 2016	23	2016
Uncertainty evaluation of data and information fusion within the context of the decision loop JP de Villiers, AL Jousselme, A de Waal, G Pavlin, K Laskey, E Blasch, ... 2016 19th International Conference on Information Fusion (FUSION), 766-773, 2016	23	2016

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