Mark Eastwood

According to our database, Mark Eastwood authored at least 22 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TIAViz: A Browser-based Visualization Tool for Computational Pathology Models.

Mark Eastwood, John Pocock, Mostafa Jahanifar, Adam Shephard, Skiros Habib, Ethar Alzaid, Abdullah Alsalemi, Jan Lukas Robertus, Nasir M. Rajpoot, Shan E Ahmed Raza, Fayyaz Minhas

CoRR, 2024

2023

Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data.

Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz Minhas, Jan Lukas Robertus

Artif. Intell. Medicine, September, 2023

An aggregation of aggregation methods in computational pathology.

Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot

Medical Image Anal., August, 2023

MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images.

Mark Eastwood, Heba Sailem, Silviu Tudor Marc, Xiaohong Gao, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz ul Amir Afsar Minhas, Jan Lukas Robertus

CoRR, 2023

2022

Neural Graph Modelling of Whole Slide Images for Survival Ranking.

Callum Christopher Mackenzie, Muhammad Dawood, Simon Graham, Mark Eastwood, Fayyaz ul Amir Afsar Minhas

Proceedings of the Learning on Graphs Conference, 2022

Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction.

Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz A. Minhas, Jan Lukas Robertus

Proceedings of the Artificial Intelligence in Medicine, 2022

2018

Deep CNNs with Rotational Filters for Rotation Invariant Character Recognition.

Erik Barrow, Mark Eastwood, Chrisina Jayne

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning for Real Time Facial Expression Recognition in Social Robots.

Ariel Ruiz-Garcia, Nicola Webb, Vasile Palade, Mark Eastwood, Mark Elshaw

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Unifying and Analysing Activities of Daily Living in Extra Care Homes.

Alexandros Konios, Yanguo Jing, Mark Eastwood, Bo Tan

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017

An intelligent well-being monitoring system for residents in extra care homes.

Yanguo Jing, Mark Eastwood, Bo Tan, Alexandros Konios, Abdul Hamid, Mark Collinson

Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

2016

Selective Dropout for Deep Neural Networks.

Erik Barrow, Mark Eastwood, Chrisina Jayne

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images.

Erik Barrow, Chrisina Jayne, Mark Eastwood

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Evaluation of hyperbox neural network learning for classification.

Mark Eastwood, Chrisina Jayne

Neurocomputing, 2014

Dual Deep Neural Network approach to matching data in different modes.

Mark Eastwood, Chrisina Jayne

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors.

Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013

Restricted Boltzmann machines for pre-training deep Gaussian networks.

Mark Eastwood, Chrisina Jayne

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Generalised bottom-up pruning: A model level combination of decision trees.

Mark Eastwood, Bogdan Gabrys

Expert Syst. Appl., 2012

2011

Interpretable, Online Soft-Sensors for Process Control.

Mark Eastwood, Petr Kadlec

Proceedings of the Data Mining Workshops (ICDMW), 2011

Model level combination of tree ensemble hyperboxes via GFMM.

Mark Eastwood, Bogdan Gabrys

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010

Building well-performing classifier ensembles : model and decision level combination.

Mark Eastwood

PhD thesis, 2010

2009

A Non-sequential Representation of Sequential Data for Churn Prediction.

Mark Eastwood, Bogdan Gabrys

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

2007

The Dynamics of Negative Correlation Learning.

Mark Eastwood, Bogdan Gabrys

J. VLSI Signal Process., 2007