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Over ons Praktische zaken Waar vindt u ons G. (George) Azzopardi, Prof

Research interests

Big data analytics, predictive modelling, image processing, computer vision, brain-inspired algorithm, machine learning

Publicaties

Content-based image retrieval using COSFIRE descriptors with application to radio astronomy COSFIRE descriptors for radio image retrieval

FaiResGAN: Fair and robust blind face restoration with biometrics preservation

Interactive Segmentation of biostructures through hyperspectral electron microscopy

Multilayer perceptron ensembles in a truly sparse training context

PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions

Classification of radio galaxies with trainable COSFIRE filters

Explainable multi-layer COSFIRE filters robust to corruptions and boundary attack with application to retina and palmprint biometrics

PushPull-Net: Inhibition-driven ResNet robust to image corruptions

Advances on the morphological classification of radio galaxiesreview: A review

Bidirectional piecewise linear representation of time series with application to collective anomaly detection

Pers/media

Voordrachten Ben Feringa Impact Award bekend

Predicting Calving Problems Before Insemination

Camera sensor imperfections help identify devices

Camera “Fingerprints” Help Police Catch Criminals

Police Can Trace Cameras Thanks to Sensor Imperfection ‘Fingerprints’

Police Can Trace Cameras Thanks to Sensor Imperfection ‘Fingerprints’

Sensor imperfections are perfect for forensic camera analysis

Sensorfehler sind perfekt für die forensische Kameraanalyse