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Philip Sellars
Philip Sellars
Machine Learning Researcher
Keine bestätigte E-Mail-Adresse
Titel
Zitiert von
Zitiert von
Jahr
Superpixel contracted graph-based learning for hyperspectral image classification
P Sellars, AI Aviles-Rivero, CB Schönlieb
IEEE Transactions on Geoscience and Remote Sensing 58 (6), 4180-4193, 2020
752020
GraphX^\small NET-NET-Chest X-Ray Classification Under Extreme Minimal Supervision
AI Aviles-Rivero, N Papadakis, R Li, P Sellars, Q Fan, RT Tan, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
562019
GraphXCOVID: explainable deep graph diffusion pseudo-labelling for identifying COVID-19 on chest X-rays
AI Aviles-Rivero, P Sellars, CB Schönlieb, N Papadakis
Pattern Recognition 122, 108274, 2022
352022
Laplacenet: A hybrid energy-neural model for deep semi-supervised classification
P Sellars, AI Aviles-Rivero, CB Schönlieb
IEEE Transactions on Neural Networks and Learning Systems, 1-13, 2021
31*2021
Two cycle learning: clustering based regularisation for deep semi-supervised classification
P Sellars, A Aviles-Rivero, CB Schönlieb
arXiv preprint arXiv:2001.05317, 2020
82020
The GraphNet zoo: an all-in-one graph based deep semi-supervised framework for medical image classification
M de Vriendt, P Sellars, AI Aviles-Rivero
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020
62020
Semi-supervised learning with graphs: Covariance based superpixels for hyperspectral image classification
P Sellars, AI Aviles-Rivero, N Papadakis, D Coomes, A Faul, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
62019
Minimal Labels, Maximum Gain. Image Classification with Graph-Based Semi-Supervised Learning
P Sellars
12022
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