P. Sellars

Equalization Requirement Study For Broadband MMDS Wireless Access Systems

K. Bartsch, J. Wassell, P. Sellars, 2001 .

Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification

Angelica I. Avilés-Rivero, P. Sellars, C. Schönlieb, 2020, ArXiv.

CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification

Angelica I. Avilés-Rivero, C. Schonlieb, P. Sellars, 2020, 2001.05317.

Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification

Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero, Philip Sellars, 2019, IEEE Transactions on Geoscience and Remote Sensing.

GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision pdf

Nicolas Papadakis, Angelica I. Avilés-Rivero, Robby T. Tan, 2019, 1907.10085.

LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification

Angelica I. Avilés-Rivero, P. Sellars, C. Schönlieb, 2021, ArXiv.

Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy

Angelica I. Avilés-Rivero, Samar M. Alsaleh, C. Schonlieb, 2019, 1906.08635.

GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays

Angelica I. Avilés-Rivero, N. Papadakis, P. Sellars, 2020, Pattern Recognition.

GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision

Nicolas Papadakis, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero, 2019, MICCAI.

GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays

Nicolas Papadakis, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero, 2020, Pattern Recognition.

Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification

Nicolas Papadakis, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.