George Azzopardi 个人学术档案

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Nicolai PetkovUniversity of Groningen在 rug.nl 的电子邮件经过验证
Nicola StrisciuglioUniversity of Twente (Associate Professor)在 utwente.nl 的电子邮件经过验证
Prof. Mario Vento, Ph.D.University of Salerno, Dept. of Information and Electrical Engineering and Applied Math (DIEM)在 unisa.it 的电子邮件经过验证
Ahmad AlsahafUniversity Medical Center Groningen在 umcg.nl 的电子邮件经过验证
ENRIQUE ALEGREProfessor in Computer Science. Universidad de Leon (Spain)在 unileon.es 的电子邮件经过验证
Joshua EllulAssociate Professor and Director of Centre for DLT, University of Malta在 um.edu.mt 的电子邮件经过验证
Dimka KarastoyanovaUniversity of Groningen在 rug.nl 的电子邮件经过验证
Xueyi WangUniversity of Groningen在 rug.nl 的电子邮件经过验证
Laura FERNÁNDEZ-ROBLESUniversity of León在 unileon.es 的电子邮件经过验证
Jiapan Guopostdoc in medical image informatics在 rug.nl 的电子邮件经过验证
Roel VeerkampProf. Numerieke genetica en genomica, ABGC, Wageningen Livestock Research在 wur.nl 的电子邮件经过验证
Bart DucroAssistant Professor, Animal Breeding and Genetics, Wageningen University and Research在 wur.nl 的电子邮件经过验证
Antonio Rodriguez-SanchezAssociate Professor, University of Innsbruck在 uibk.ac.at 的电子邮件经过验证
Guru Swaroop BennabhaktulaPostdoctoral Researcher, University of Groningen在 rug.nl 的电子邮件经过验证
Alessia Saggese, PhDAssociate Professor, University of Salerno在 unisa.it 的电子邮件经过验证
Justus PiaterProfessor of Computer Science, University of Innsbruck, Austria在 uibk.ac.at 的电子邮件经过验证
Owen FalzonAssociate Professor, Centre for Biomedical Cybernetics, University of Malta在 um.edu.mt 的电子邮件经过验证
Andreas NeocleousPost doc, University of Cyprus在 ucy.ac.cy 的电子邮件经过验证
Henri BoumaSenior scientist at TNO在 tno.nl 的电子邮件经过验证
Klamer SchutteTNO, Intelligent Imaging在 TNO.nl 的电子邮件经过验证

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George Azzopardi

Associate Professor, Computer Science, Bernoulli Institute, University of Groningen

在 rug.nl 的电子邮件经过验证 - 首页

Brain-inspired computing Computer Vision Pattern Recognition Machine Learning Information


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Trainable COSFIRE filters for vessel delineation with application to retinal images G Azzopardi, N Strisciuglio, M Vento, N Petkov Medical image analysis 19 (1), 46-57, 2015	763	2015
Elderly fall detection systems: A literature survey X Wang, J Ellul, G Azzopardi Frontiers in Robotics and AI 7, 71, 2020	256	2020
Detection of illicit accounts over the Ethereum blockchain S Farrugia, J Ellul, G Azzopardi Expert Systems with Applications 150, 113318, 2020	203	2020
Trainable COSFIRE filters for keypoint detection and pattern recognition G Azzopardi, N Petkov Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (2), 490-503, 2013	149	2013
A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model G Azzopardi, N Petkov Biological cybernetics 106, 177-189, 2012	132	2012
Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters G Azzopardi, N Petkov Pattern Recognition Letters 34 (8), 922-933, 2013	112	2013
Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters N Strisciuglio, G Azzopardi, M Vento, N Petkov Machine Vision and Applications, 2016	109	2016
A framework for feature selection through boosting A Alsahaf, N Petkov, V Shenoy, G Azzopardi Expert Systems with Applications 187, 115895, 2022	105	2022
Machine-vision-based identification of broken inserts in edge profile milling heads L Fernández-Robles, G Azzopardi, E Alegre, N Petkov Robotics and Computer-Integrated Manufacturing 44, 276-283, 2017	90	2017
A framework for creating deployable smart contracts for non-fungible tokens on the Ethereum blockchain D Chirtoaca, J Ellul, G Azzopardi 2020 IEEE International Conference on Decentralized Applications and …, 2020	66	2020
A push-pull CORF model of a simple cell with antiphase inhibition improves SNR and contour detection G Azzopardi, A Rodríguez-Sánchez, J Piater, N Petkov PLoS One 9 (7), e98424, 2014	59	2014
Fusion of domain-specific and trainable features for gender recognition from face images G Azzopardi, A Greco, A Saggese, M Vento IEEE Access 6, 24171-24183, 2018	53	2018
Color-blob-based COSFIRE filters for object recognition B Gecer, G Azzopardi, N Petkov Image and Vision Computing 57, 165-174, 2017	51	2017
Gender recognition from face images with trainable COSFIRE filters G Azzopardi, A Greco, M Vento 13th IEEE International Conference on Advanced Video and Signal Based …, 2016	42	2016
Detection of retinal vascular bifurcations by trainable V4-like filters G Azzopardi, N Petkov International Conference on Computer Analysis of Images and Patterns, 451-459, 2011	40	2011
Robust Inhibition-augmented Operator for Delineation of Curvilinear Structures N Strisciuglio, G Azzopardi, N Petkov IEEE Transactions on Image Processing 28 (12), 5852-5866, 2019	38	2019
Gender recognition from face images using a fusion of svm classifiers G Azzopardi, A Greco, M Vento Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016	38	2016
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters N Strisciuglio, G Azzopardi, M Vento, N Petkov Computer Analysis of Images and Patterns: 16th International Conference …, 2015	38	2015
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models G Azzopardi, N Petkov Frontiers in computational neuroscience 8, 80, 2014	38	2014
The Blockchain of Things, Beyond Bitcoin: A Systematic Review FA Abadi, J Ellul, G Azzopardi IEEE Cybermatics, The 2018 IEEE International Conference on Blockchain, 1666 …, 2018	35	2018

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