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Thomas Davies

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Privacy-preserving nearest prototype classifier.
[BibTeX]
[DOI]
Ronny Schubert
,
Thomas Davies
,
Mandy Lange-Geisler
,
Klaus Dohmen
,
Thomas Villmann
Neurocomputing, 2026

Diminishing Returns - Data Integer Quantization and its Effects on Training Dynamics of Distance Based Classifiers.
[BibTeX]
[DOI]
Thomas Davies
,
Alexander Engelsberger
,
Magdalena Psenickova
,
Thomas Villmann
Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

GazeCode: Recall-Based Verification for Higher-Quality In-the-Wild Mobile Gaze Data Collection.
[BibTeX]
[DOI]
Yaxiong Lei
,
Thomas Davies
,
Xinya Gong
,
Shijing He
,
Juan Ye
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
DeepInverse: A Python package for solving imaging inverse problems with deep learning.
[BibTeX]
[DOI]
Julián Tachella
,
Matthieu Terris
,
Samuel Hurault
,
Andrew Wang
,
Leo Davy
,
Jérémy Scanvic
,
Victor Sechaud
,
Romain Vo
,
Thomas Moreau
,
Thomas Davies
,
Dongdong Chen
,
Nils Laurent
,
Brayan Monroy
,
Jonathan Dong
,
Zhiyuan Hu
,
Minh-Hai Nguyen
,
Florian Sarron
,
Pierre Weiss
,
Paul Escande
,
Mathurin Massias
,
Thibaut Modrzyk
,
Brett Levac
,
Tobías I. Liaudat
,
Maxime Song
,
Johannes Hertrich
,
Sebastian Neumayer
,
Georg Schramm
J. Open Source Softw., December, 2025

Metaheuristic Optimization for Hospital Sterilisation and Decontamination Services.
[BibTeX]
[DOI]
Thomas Davies
,
Tracey J. England
,
Doris A. Behrens
,
Daniel Gartner
Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Towards Learning Vector Quantization in the Setting of Homomorphic Encryption.
[BibTeX]
[DOI]
Thomas Davies
,
Ronny Schubert
,
Mandy Lange-Geisler
,
Klaus Dohmen
,
Thomas Villmann
Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024
Hyperbox-GLVQ Based on Min-Max-Neurons.
[BibTeX]
[DOI]
Thomas Villmann
,
Thomas Davies
,
Alexander Engelsberger
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, 2024

2021
UV-Net: Learning From Boundary Representations.
[BibTeX]
[DOI]
Pradeep Kumar Jayaraman
,
Aditya Sanghi
,
Joseph G. Lambourne
,
Karl D. D. Willis
,
Thomas Davies
,
Hooman Shayani
,
Nigel J. W. Morris
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Overfit Neural Networks as a Compact Shape Representation.
[BibTeX]
[DOI]
Thomas Davies
,
Derek Nowrouzezahrai
,
Alec Jacobson
CoRR, 2020

UV-Net: Learning from Curve-Networks and Solids.
[BibTeX]
[DOI]
Pradeep Kumar Jayaraman
,
Aditya Sanghi
,
Joseph G. Lambourne
,
Thomas Davies
,
Hooman Shayani
,
Nigel J. W. Morris
CoRR, 2020

2018
The bionic blues: Robot rejection lowers self-esteem.
[BibTeX]
[DOI]
Kyle Nash
,
Johanna M. Lea
,
Thomas Davies
,
Kumar Yogeeswaran
Comput. Hum. Behav., 2018

2012
The case of the missed icon: change blindness on mobile devices.
[BibTeX]
[DOI]
Thomas Davies
,
Ashweeni Kumar Beeharee
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2005
Motion-compensation using variable-size block-matching with binary partition trees.
[BibTeX]
[DOI]
Marc Servais
,
Theodore Vlachos
,
Thomas Davies
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Progressive polygon encoding of segmentation maps.
[BibTeX]
[DOI]
Marc Servais
,
Theodore Vlachos
,
Thomas Davies
Proceedings of the 2004 International Conference on Image Processing, 2004


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