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Mark Eastwood
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2020 – today
- 2024
- [j6]Neda Zamanitajeddin
, Mostafa Jahanifar
, Mohsin Bilal
, Mark Eastwood, Nasir M. Rajpoot
:
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer. Medical Image Anal. 93: 103071 (2024) - [i3]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:
TIAViz: A Browser-based Visualization Tool for Computational Pathology Models. CoRR abs/2402.09990 (2024) - 2023
- [j5]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:
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data. Artif. Intell. Medicine 143: 102628 (2023) - [j4]Mohsin Bilal
, Robert Jewsbury
, Ruoyu Wang, Hammam M. AlGhamdi
, Amina Asif, Mark Eastwood, Nasir M. Rajpoot
:
An aggregation of aggregation methods in computational pathology. Medical Image Anal. 88: 102885 (2023) - [i2]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:
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images. CoRR abs/2302.12653 (2023) - 2022
- [c14]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:
Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction. AIME 2022: 263-272 - [c13]Callum Christopher Mackenzie, Muhammad Dawood, Simon Graham, Mark Eastwood, Fayyaz ul Amir Afsar Minhas:
Neural Graph Modelling of Whole Slide Images for Survival Ranking. LoG 2022: 48 - [i1]Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot:
An Aggregation of Aggregation Methods in Computational Pathology. CoRR abs/2211.01256 (2022)
2010 – 2019
- 2018
- [c12]Alexandros Konios
, Yanguo Jing, Mark Eastwood, Bo Tan
:
Unifying and Analysing Activities of Daily Living in Extra Care Homes. DASC/PiCom/DataCom/CyberSciTech 2018: 474-479 - [c11]Ariel Ruiz-Garcia
, Nicola Webb, Vasile Palade, Mark Eastwood, Mark Elshaw:
Deep Learning for Real Time Facial Expression Recognition in Social Robots. ICONIP (5) 2018: 392-402 - [c10]Erik Barrow, Mark Eastwood, Chrisina Jayne
:
Deep CNNs with Rotational Filters for Rotation Invariant Character Recognition. IJCNN 2018: 1-8 - 2017
- [c9]Yanguo Jing, Mark Eastwood, Bo Tan
, Alexandros Konios
, Abdul Hamid, Mark Collinson:
An intelligent well-being monitoring system for residents in extra care homes. IML 2017: 8:1-8:6 - 2016
- [c8]Erik Barrow, Mark Eastwood, Chrisina Jayne
:
Selective Dropout for Deep Neural Networks. ICONIP (3) 2016: 519-528 - 2015
- [c7]Erik Barrow, Chrisina Jayne
, Mark Eastwood:
Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images. ICONIP (4) 2015: 29-37 - 2014
- [j3]Mark Eastwood, Chrisina Jayne
:
Evaluation of hyperbox neural network learning for classification. Neurocomputing 133: 249-257 (2014) - [c6]Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador
, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite:
From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. IDA 2014: 49-60 - [c5]Mark Eastwood, Chrisina Jayne
:
Dual Deep Neural Network approach to matching data in different modes. IJCNN 2014: 1688-1694 - 2013
- [c4]Mark Eastwood, Chrisina Jayne
:
Restricted Boltzmann machines for pre-training deep Gaussian networks. IJCNN 2013: 1-8 - 2012
- [j2]Mark Eastwood, Bogdan Gabrys:
Generalised bottom-up pruning: A model level combination of decision trees. Expert Syst. Appl. 39(10): 9150-9158 (2012) - 2011
- [c3]Mark Eastwood, Bogdan Gabrys:
Model level combination of tree ensemble hyperboxes via GFMM. FSKD 2011: 443-447 - [c2]Mark Eastwood, Petr Kadlec:
Interpretable, Online Soft-Sensors for Process Control. ICDM Workshops 2011: 581-587 - 2010
- [b1]Mark Eastwood:
Building well-performing classifier ensembles : model and decision level combination. Bournemouth University, Poole, UK, 2010
2000 – 2009
- 2009
- [c1]Mark Eastwood, Bogdan Gabrys:
A Non-sequential Representation of Sequential Data for Churn Prediction. KES (1) 2009: 209-218 - 2007
- [j1]Mark Eastwood, Bogdan Gabrys:
The Dynamics of Negative Correlation Learning. J. VLSI Signal Process. 49(2): 251-263 (2007)
Coauthor Index
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last updated on 2024-06-10 21:21 CEST by the dblp team
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