Georgios Exarchakis

University of Bath — United Kingdom

Computer Science · Physical Sciences

9h-index327citations24works0.02yr avg
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Research Topics

Blind Source Separation Techniques(4), Neural Networks and Applications(3), Advanced Neural Network Applications(2), Face and Expression Recognition(2), Computational Drug Discovery Methods(2)

Publications24 total

Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science·2025Open Access
Prediction of cesarean delivery in class III obese nulliparous women: An externally validated model using machine learning
Journal of Gynecology Obstetrics and Human Reproduction·2023· 6 citedOpen Access
Dissecting self-supervised learning methods for surgical computer vision
Medical Image Analysis·2023· 54 citedOpen Access
Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks
Scientific Reports·2023· 14 citedOpen Access
Efficient spatio-temporal feature clustering for large event-based datasets
Neuromorphic Computing and Engineering·2022· 2 citedOpen Access
Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks
Research Square (Research Square)·2022· 2 citedOpen Access
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
arXiv (Cornell University)·2022· 3 citedOpen Access
A sampling-based approach for efficient clustering in large datasets
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 5 cited
TOWARDS AUTOMATIC DETECTION IN PANCREATIC EUS: AN ASSESSMENT OF DEEP LEARNING METHODS
Endoscopy·2022
Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures
Lecture notes in computer science·2022· 2 cited
A sampling-based approach for efficient clustering in large datasets
arXiv (Cornell University)·2021· 1 citedOpen Access
ProSper -- A Python Library for Probabilistic Sparse Coding with\n Non-Standard Priors and Superpositions
arXiv (Cornell University)·2019Open Access
ProSper -- A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
arXiv (Cornell University)·2019Open Access
Kymatio: Scattering Transforms in Python
arXiv (Cornell University)·2018· 16 citedOpen Access
Kymatio: Scattering Transforms in Python
arXiv (Cornell University)·2018· 77 citedOpen Access
Solid harmonic wavelet scattering for predictions of molecule properties
The Journal of Chemical Physics·2018· 78 citedOpen Access
Truncated Variational Sampling for ‘Black Box’ Optimization of Generative Models
Lecture notes in computer science·2018· 1 citedOpen Access
Truncated Variational Sampling for "Black Box" Optimization of\n Generative Models
arXiv (Cornell University)·2017Open Access
Discrete Sparse Coding
Neural Computation·2017· 8 citedOpen Access
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities
Neural Information Processing Systems·2017· 30 cited
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Frequent Co-authors

Jörg Lücke(6), B. Gallix(5), Zhenwen Dai(5), Michael Eickenberg(4), Matthew Hirn(4), Stéphane Mallat(4), Antoine Fleurentin(4), Nicolas Padoy(4), Louis Thiry(3), Marc Henniges(3), Omar Oubari(3), Gregor Lenz(3), Mathieu Andreux(2), Tomás Angles(2), Roberto Leonarduzzi(2), Gaspar Rochette(2), J. Zarka(2), Joakim Andén(2), Eugene Belilovsky(2), Joan Bruna(2)