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2020 – today
- 2024
[c16]Qi Wu, Chengjia Wang, Xiaohui Li, Guangxing Wu, Marta Vallejo
, Ruixuan Wang:
Audio-Aided Learning Framework for Image Classification with Limited Training Images. ICASSP 2024: 4975-4979- [c15]Malihe Javidi, Qiang Wang, Marta Vallejo:
Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images. ICPRAM 2024: 706-713 - [c14]Tiantao Jiang, Encarna Micó-Amigoa, Abdullah Abdulaziz, Lukas Jurcaga, Marta Vallejo, Sadeque Reza Khan:
Miniaturised and Flexible Patch for Continuous Tremor Monitoring Using Machine Learning. MeMeA 2024: 1-6 - 2022
- [j5]Mohamad Alissa, Michael A. Lones, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, Marta Vallejo:
Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Comput. Appl. 34(2): 1433-1453 (2022) - [j4]Qiang Wang, James R. Hopgood, Susan Fernandes, Neil Finlayson, Gareth O. S. Williams, Ahsan R. Akram, Kevin Dhaliwal, Marta Vallejo:
A layer-level multi-scale architecture for lung cancer classification with fluorescence lifetime imaging endomicroscopy. Neural Comput. Appl. 34(21): 18881-18894 (2022) - [i1]Qiang Wang, Susan Fernandes, Gareth O. S. Williams, Neil Finlayson, Ahsan R. Akram, Kevin Dhaliwal, James R. Hopgood, Marta Vallejo:
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images. CoRR abs/2202.07755 (2022) - 2021
- [j3]Om Prakash Singh, Marta Vallejo, Ismail M. El-Badawy, Ali Aysha, Jagannathan Madhanagopal, Ahmad Athif Mohd Faudzi:
Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms. Comput. Biol. Medicine 136: 104650 (2021) - [c13]Arjun Shenoy A. V, Michael A. Lones, Stephen L. Smith, Marta Vallejo:
Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data. EMBC 2021: 1702-1706 - [c12]Qiang Wang, James R. Hopgood, Marta Vallejo:
Multi-Scale Aggregated-Dilation Network for ex-vivo Lung Cancer Detection with Fluorescence Lifetime Imaging Endomicroscopy. EMBC 2021: 2918-2922 - [c11]Qiang Wang, James R. Hopgood, Marta Vallejo:
Fluorescence lifetime imaging endomicroscopy-based ex-vivo lung cancer prediction using multi-scale concatenated-dilation convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [c10]Qiang Wang, James R. Hopgood, Neil Finlayson, Gareth O. S. Williams, Susan Fernandes, Elvira Williams, Ahsan R. Akram, Kevin Dhaliwal, Marta Vallejo:
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images. EMBC 2020: 1891-1894 - [c9]Gordon Frost, Marta Vallejo:
The True Online Continuous Learning Automation (TOCLA) in a continuous control benchmarking of actor-critic algorithms. SSCI 2020: 266-275
2010 – 2019
- 2017
- [j2]Marta Vallejo, David W. Corne, Patrícia A. Vargas:
Online/offline evolutionary algorithms for dynamic urban green space allocation problems. J. Exp. Theor. Artif. Intell. 29(4): 843-867 (2017) - 2016
- [c8]Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stephen L. Smith, David W. Corne, Michael A. Lones:
Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease. GECCO (Companion) 2016: 13-14 - [c7]Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, David W. Corne, Michael A. Lones:
A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients. GECCO (Companion) 2016: 1369-1376 - [c6]Marta Vallejo, David W. Corne:
Evolutionary algorithms under noise and uncertainty: A location-allocation case study. SSCI 2016: 1-10 - [c5]Marta Vallejo, Stuart Jamieson, Jeremy Cosgrove, Stephen L. Smith, Michael A. Lones, Jane E. Alty, David W. Corne:
Exploring diagnostic models of Parkinson's disease with multi-objective regression. SSCI 2016: 1-8 - 2015
- [j1]Marta Vallejo, Verena Rieser, David W. Corne:
Genetic algorithm evaluation of green search allocation policies in multilevel complex urban scenarios. J. Comput. Sci. 9: 57-63 (2015) - [c4]Marta Vallejo, Verena Rieser, David W. Corne:
Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour. ICAART (1) 2015: 257-262 - 2013
- [c3]Marta Vallejo, David W. Corne, Verena Rieser:
Evolving Urbanisation Policies - Using a Statistical Model to Accelerate Optimisation over Agent-based Simulations. ICAART (2) 2013: 171-181 - [c2]Marta Vallejo, David W. Corne, Verena Rieser:
Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments. ICAART (Revised Selected Papers) 2013: 351-369 - 2012
- [c1]Marta Vallejo, Patrícia A. Vargas, David W. Corne:
A fast approximative approach for the Vehicle Routing Problem. UKCI 2012: 1-8
Coauthor Index
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