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About us Practical matters How to find us G. (George) Azzopardi, Prof

Research interests

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

Publications

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

Interactive Segmentation of biostructures through hyperspectral electron microscopy

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

Biometric Recognition of African Clawed Frogs

COFI - Coarse-semantic to fine-instance unsupervised mitochondria segmentation in EM

Deep supervised hashing for fast retrieval of radio image cubes

Fall detection with a non-intrusive and first-person vision approach

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Press/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’

Computer scientists have developed a new tool to link digital media to their maker — ScienceDaily

Sensor imperfections are perfect for forensic camera analysis

Sensorfehler sind perfekt für die forensische Kameraanalyse

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