Mark Eastwood

Orcid: 0000-0003-3768-7953

According to our database1, Mark Eastwood authored at least 23 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer.
Medical Image Anal., 2024

TIAViz: A Browser-based Visualization Tool for Computational Pathology Models.
CoRR, 2024

2023
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data.
Artif. Intell. Medicine, September, 2023

An aggregation of aggregation methods in computational pathology.
Medical Image Anal., August, 2023

MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images.
CoRR, 2023

2022
Neural Graph Modelling of Whole Slide Images for Survival Ranking.
Proceedings of the Learning on Graphs Conference, 2022

Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2022

2018
Deep CNNs with Rotational Filters for Rotation Invariant Character Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning for Real Time Facial Expression Recognition in Social Robots.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Unifying and Analysing Activities of Daily Living in Extra Care Homes.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017
An intelligent well-being monitoring system for residents in extra care homes.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

2016
Selective Dropout for Deep Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Evaluation of hyperbox neural network learning for classification.
Neurocomputing, 2014

Dual Deep Neural Network approach to matching data in different modes.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013
Restricted Boltzmann machines for pre-training deep Gaussian networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Generalised bottom-up pruning: A model level combination of decision trees.
Expert Syst. Appl., 2012

2011
Interpretable, Online Soft-Sensors for Process Control.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Model level combination of tree ensemble hyperboxes via GFMM.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
Building well-performing classifier ensembles : model and decision level combination.
PhD thesis, 2010

2009
A Non-sequential Representation of Sequential Data for Churn Prediction.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

2007
The Dynamics of Negative Correlation Learning.
J. VLSI Signal Process., 2007


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