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George Azzopardi
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2020 – today
- 2024
- [j32]Adrian Apap, Amey Bhole, Laura Fernández-Robles
, Manuel Castejón Limas, George Azzopardi
Explainable multi-layer COSFIRE filters robust to corruptions and boundary attack with application to retina and palmprint biometrics. Neural Comput. Appl. 36(30): 19231-19245 (2024) - [i10]Guru Swaroop Bennabhaktula, Enrique Alegre, Nicola Strisciuglio, George Azzopardi:
PushPull-Net: Inhibition-driven ResNet robust to image corruptions. CoRR abs/2408.04077 (2024) - 2023
- [j31]Wen Shi
Bidirectional piecewise linear representation of time series with application to collective anomaly detection. Adv. Eng. Informatics 58: 102155 (2023) - [j30]Anusha Aswath
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey. Medical Image Anal. 89: 102920 (2023) - [c46]Xueyi Wang, Nicoletta Risi
Fall Detection with Event-Based Data: A Case Study. CAIP (2) 2023: 33-42 - [c45]Fatemeh Jokar
Towards Accurate and Efficient Sleep Period Detection Using Wearable Devices. CAIP (2) 2023: 43-54 - [c44]Anusha Aswath
COFI - Coarse-Semantic to Fine-Instance Unsupervised Mitochondria Segmentation in EM. CAIP (2) 2023: 87-97 - [c43]Fabian L. Prins, Dario Tomanin, Julia Kamenz, George Azzopardi
Biometric Recognition of African Clawed Frogs. CAIP (2) 2023: 151-161 - [i9]Steven Ndung'u, Trienko L. Grobler, Stefan J. Wijnholds, Dimka Karastoyanova, George Azzopardi
Advances on the classification of radio image cubes. CoRR abs/2305.03435 (2023) - [i8]Steven Ndung'u, Trienko L. Grobler, Stefan J. Wijnholds, Dimka Karastoyanova, George Azzopardi:
Deep supervised hashing for fast retrieval of radio image cubes. CoRR abs/2309.00932 (2023) - [i7]Steven Ndung'u, Trienko L. Grobler, Stefan J. Wijnholds, Dimka Karastoyanova, George Azzopardi:
Classification of Radio Galaxies with trainable COSFIRE filters. CoRR abs/2311.11286 (2023) - 2022
- [j29]Ahmad Alsahaf, Nicolai Petkov, Vikram Shenoy, George Azzopardi
A framework for feature selection through boosting. Expert Syst. Appl. 187: 115895 (2022) - [j28]Amey Bhole
CORF3D contour maps with application to Holstein cattle recognition from RGB and thermal images. Expert Syst. Appl. 192: 116354 (2022) - [j27]Guru Swaroop Bennabhaktula
Camera model identification based on forensic traces extracted from homogeneous patches. Expert Syst. Appl. 206: 117769 (2022) - [j26]Jeroen G. S. Overschie
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms. J. Open Source Softw. 7(79): 4611 (2022) - [j25]Guru Swaroop Bennabhaktula
Source Camera Device Identification from Videos. SN Comput. Sci. 3(4): 316 (2022) - [i6]Fadi Mohsen, Dimka Karastoyanova, George Azzopardi
To remove or not remove Mobile Apps? A data-driven predictive model approach. CoRR abs/2206.03905 (2022) - [i5]Anusha Aswath, Ahmad Alsahaf, Ben N. G. Giepmans, George Azzopardi
Automated image analysis in large-scale cellular electron microscopy: A literature survey. CoRR abs/2206.07171 (2022) - 2021
- [j24]George Azzopardi
Editorial: Autonomous Health Monitoring and Assistance Systems With IoT. Frontiers Robotics AI 8: 611352 (2021) - [c42]Guru Swaroop Bennabhaktula
On Improving Generalization of CNN-Based Image Classification with Delineation Maps Using the CORF Push-Pull Inhibition Operator. CAIP (1) 2021: 434-444 - [c41]Derrick Timmerman
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet. ICPRAM 2021: 417-425 - 2020
- [j23]Esther M. M. van der Heide, Claudia Kamphuis, Roel F. Veerkamp, Ioannis N. Athanasiadis
Improving predictive performance on survival in dairy cattle using an ensemble learning approach. Comput. Electron. Agric. 177: 105675 (2020) - [j22]Steven Farrugia, Joshua Ellul
Detection of illicit accounts over the Ethereum blockchain. Expert Syst. Appl. 150: 113318 (2020) - [j21]Xueyi Wang
Elderly Fall Detection Systems: A Literature Survey. Frontiers Robotics AI 7: 71 (2020) - [j20]Damiano Melotti, Kevin Heimbach, Antonio Jose Rodríguez-Sánchez, Nicola Strisciuglio
A robust contour detection operator with combined push-pull inhibition and surround suppression. Inf. Sci. 524: 229-240 (2020) - [j19]Sivakumar Ramachandran, Nicola Strisciuglio
U-COSFIRE filters for vessel tortuosity quantification with application to automated diagnosis of retinopathy of prematurity. Neural Comput. Appl. 32(16): 12453-12468 (2020) - [j18]Deisy Chaves
Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications. Sensors 20(16): 4491 (2020) - [c40]Dan Chirtoaca, Joshua Ellul
A framework for creating deployable smart contracts for non-fungible tokens on the Ethereum blockchain. DAPPS 2020: 100-105 - [c39]Xueyi Wang
Fall Detection and Recognition from Egocentric Visual Data: A Case Study. ICPR Workshops (1) 2020: 431-443 - [c38]Guru Swaroop Bennabhaktula
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise. ICPRAM 2020: 578-584 - [i4]Guru Swaroop Bennabhaktula
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise. CoRR abs/2004.11443 (2020) - [i3]Derrick Timmerman, Guru Swaroop Bennabhaktula
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet. CoRR abs/2012.06277 (2020)
2010 – 2019
- 2019
- [j17]Jiapan Guo
Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening. IEEE Access 7: 8527-8541 (2019) - [j16]Andreas C. Neocleous
Trainable Filters for the Identification of Anomalies in Cosmogenic Isotope Data. IEEE Access 7: 24585-24592 (2019) - [j15]Ahmad Alsahaf
Estimation of Muscle Scores of Live Pigs Using a Kinect Camera. IEEE Access 7: 52238-52245 (2019) - [j14]Chenyu Shi, Joost M. Meijer
Detection of u-serrated patterns in direct immunofluorescence images of autoimmune bullous diseases by inhibition-augmented COSFIRE filters. Int. J. Medical Informatics 122: 27-36 (2019) - [j13]Rebeca Marfil
Cooperative and Social Robots: Understanding Human Activities and Intentions. Pattern Recognit. Lett. 118: 1-2 (2019) - [j12]Nicola Strisciuglio
Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. IEEE Trans. Image Process. 28(12): 5852-5866 (2019) - [c37]Wilbert Tabone
Alpha-tree segmentation of human anatomical photographic imagery. APPIS 2019: 4:1-4:6 - [c36]Lara Marie Demajo, Kristian Guillaumier
Age group recognition from face images using a fusion of CNN- and COSFIRE-based features. APPIS 2019: 12:1-12:6 - [c35]Amey Bhole
A Computer Vision Pipeline that Uses Thermal and RGB Images for the Recognition of Holstein Cattle. CAIP (2) 2019: 108-119 - [c34]Adrian Kind, George Azzopardi
An Explainable AI-Based Computer Aided Detection System for Diabetic Retinopathy Using Retinal Fundus Images. CAIP (1) 2019: 457-468 - [c33]Frans J. Simanjuntak, George Azzopardi
Fusion of CNN- and COSFIRE-Based Features with Application to Gender Recognition from Face Images. CVC (1) 2019: 444-458 - 2018
- [j11]George Azzopardi
Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images. IEEE Access 6: 24171-24183 (2018) - [c32]Ahmad Alsahaf, George Azzopardi
Predicting Slaughter Weight in Pigs with Regression Tree Ensembles. APPIS 2018: 1-9 - [c31]Adrian Apap, Laura Fernández-Robles
Person Identification with Retinal Fundus Biometric Analysis Using COSFIRE Filters. APPIS 2018: 10-18 - [c30]Juan Buhagiar, Nicola Strisciuglio
Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. APPIS 2018: 194-202 - [c29]Alexandra Bonnici, Dorian Bugeja, George Azzopardi
Vectorisation of Sketches with Shadows and Shading using COSFIRE filters. DocEng 2018: 23:1-23:10 - [c28]Alexandra Bonnici, Julian Abela, Nicholas Zammit, George Azzopardi
Automatic Ornament Localisation, Recognition and Expression from Music Sheets. DocEng 2018: 25:1-25:11 - [c27]Nicola Strisciuglio
Brain-Inspired Robust Delineation Operator. ECCV Workshops (3) 2018: 555-565 - [c26]Maria Spiteri, George Azzopardi
Customer Churn Prediction for a Motor Insurance Company. ICDIM 2018: 173-178 - [c25]George Azzopardi
Gender recognition from face images using trainable shape and color features. ICPR 2018: 1983-1988 - [c24]Fthi Arefayne Abadi, Joshua Ellul
The Blockchain of Things, Beyond Bitcoin: A Systematic Review. iThings/GreenCom/CPSCom/SmartData 2018: 1666-1672 - [i2]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Brain-inspired robust delineation operator. CoRR abs/1811.10240 (2018) - 2017
- [j10]Jiapan Guo, Chenyu Shi, George Azzopardi
Inhibition-augmented COSFIRE model of shape-selective neurons. IBM J. Res. Dev. 61(2/3): 10:1-10:9 (2017) - [j9]Baris Gecer
Color-blob-based COSFIRE filters for object recognition. Image Vis. Comput. 57: 165-174 (2017) - [c23]George Azzopardi
Fast gender recognition in videos using a novel descriptor based on the gradient magnitudes of facial landmarks. AVSS 2017: 1-6 - [c22]Nicola Strisciuglio
Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation. CAIP (1) 2017: 108-120 - [c21]Antonio Jose Rodríguez-Sánchez, Daly Chea, George Azzopardi
A deep learning approach for detecting and correcting highlights in endoscopic images. IPTA 2017: 1-6 - [i1]Nicola Strisciuglio, George Azzopardi, Nicolai Petkov:
Detection of curved lines with B-COSFIRE filters: A case study on crack delineation. CoRR abs/1707.07747 (2017) - 2016
- [j8]George Azzopardi
Special issue on selected papers from CAIP 2015. Mach. Vis. Appl. 27(8): 1115 (2016) - [j7]Nicola Strisciuglio
Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters. Mach. Vis. Appl. 27(8): 1137-1149 (2016) - [j6]Jiapan Guo, Chenyu Shi, George Azzopardi
Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition. Mach. Vis. Appl. 27(8): 1197-1211 (2016) - [c20]George Azzopardi
Gender recognition from face images with trainable COSFIRE filters. AVSS 2016: 235-241 - [c19]George Azzopardi
Gender Recognition from Face Images Using a Fusion of SVM Classifiers. ICIAR 2016: 533-538 - [c18]George Azzopardi
Increased generalization capability of trainable COSFIRE filters with application to machine vision. ICPR 2016: 3356-3361 - 2015
- [j5]George Azzopardi
Trainable COSFIRE filters for vessel delineation with application to retinal images. Medical Image Anal. 19(1): 46-57 (2015) - [c17]Nicola Strisciuglio
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. CAIP (2) 2015: 300-312 - [c16]Laura Fernández-Robles
Cutting Edge Localisation in an Edge Profile Milling Head. CAIP (2) 2015: 336-347 - [c15]Jiapan Guo, Chenyu Shi, George Azzopardi
Recognition of Architectural and Electrical Symbols by COSFIRE Filters with Inhibition. CAIP (2) 2015: 348-358 - [c14]Chenyu Shi, Jiapan Guo, George Azzopardi
Automatic Differentiation of u- and n-serrated Patterns in Direct Immunofluorescence Images. CAIP (1) 2015: 513-521 - [c13]Andreas C. Neocleous, George Azzopardi
Filter-Based Approach for Ornamentation Detection and Recognition in Singing Folk Music. CAIP (1) 2015: 558-569 - [c12]Klamer Schutte, Henri Bouma
Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation. CBMI 2015: 1-4 - [e2]George Azzopardi
Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015 Proceedings, Part I. Lecture Notes in Computer Science 9256, Springer 2015, ISBN 978-3-319-23191-4 [contents] - [e1]George Azzopardi
Computer Analysis of Images and Patterns - 16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9257, Springer 2015, ISBN 978-3-319-23116-7 [contents] - 2014
- [j4]George Azzopardi
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models. Frontiers Comput. Neurosci. 8: 80 (2014) - [c11]Harm de Vries, George Azzopardi
Parametric Nonlinear Regression Models for Dike Monitoring Systems. IDA 2014: 345-355 - 2013
- [j3]George Azzopardi
Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 490-503 (2013) - [j2]George Azzopardi
Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters. Pattern Recognit. Lett. 34(8): 922-933 (2013) - [c10]George Azzopardi
COSFIRE: A Brain-Inspired Approach to Visual Pattern Recognition. BrainComp 2013: 76-87 - [c9]George Azzopardi
A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits. CAIP (2) 2013: 9-16 - [c8]Henri Bouma, George Azzopardi, Martijn Spitters, Joost de Wit, Corné Versloot, Remco van der Zon, Pieter Eendebak, Jan Baan, Johan-Martijn ten Hove, Adam W. M. van Eekeren, Frank Bart ter Haar, Richard den Hollander, Jasper van Huis, Maaike de Boer, Gert van Antwerpen, Jeroen Broekhuijsen, Laura Daniele, Paul Brandt, John G. M. Schavemaker, Wessel Kraaij, Klamer Schutte:
TNO at TRECVID 2013: Multimedia Event Detection and Instance Search. TRECVID 2013 - 2012
- [j1]George Azzopardi
A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model. Biol. Cybern. 106(3): 177-189 (2012) - [c7]George Azzopardi
Detection of retinal vascular bifurcations by rotation-, scale- and reflection-invariant COSFIRE filters. CBMS 2012: 1-4 - [c6]George Azzopardi
Contour Detection by CORF Operator. ICANN (1) 2012: 395-402 - [c5]George Azzopardi
Detection of Retinal Vascular Bifurcations by Rotation- and Scale-Invariant COSFIRE Filters. ICIAR (2) 2012: 363-371 - 2011
- [c4]George Azzopardi
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters. CAIP (1) 2011: 451-459
2000 – 2009
- 2009
- [c3]George Azzopardi
Variance Ranklets: Orientation-selective Rank Features for Contrast Modulations. BMVC 2009: 1-11 - 2003
- [c2]Ivan Grech, Joseph Micallef, George Azzopardi, Carl James Debono
A 0.9 V wide-input-range bulk-input CMOS OTA for Gm-C filters. ICECS 2003: 818-821
1990 – 1999
- 1999
- [c1]George Azzopardi, Ivan Grech, Joseph Micallef, Franco Maloberti:
A low voltage high resolution pipelined incremental ADC. ICECS 1999: 1499-1502
Coauthor Index
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last updated on 2024-10-09 20:27 CEST by the dblp team
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