Marta Vallejo

Orcid: 0000-0001-9957-954X

According to our database1, Marta Vallejo authored at least 20 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Bibliography

2024
Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2022
A layer-level multi-scale architecture for lung cancer classification with fluorescence lifetime imaging endomicroscopy.
Neural Comput. Appl., 2022

Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks.
Neural Comput. Appl., 2022

Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images.
CoRR, 2022

2021
Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms.
Comput. Biol. Medicine, 2021

Fluorescence lifetime imaging endomicroscopy-based ex-vivo lung cancer prediction using multi-scale concatenated-dilation convolutional neural networks.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Multi-Scale Aggregated-Dilation Network for ex-vivo Lung Cancer Detection with Fluorescence Lifetime Imaging Endomicroscopy.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
The True Online Continuous Learning Automation (TOCLA) in a continuous control benchmarking of actor-critic algorithms.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017
Online/offline evolutionary algorithms for dynamic urban green space allocation problems.
J. Exp. Theor. Artif. Intell., 2017

2016
Exploring diagnostic models of Parkinson's disease with multi-objective regression.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Evolutionary algorithms under noise and uncertainty: A location-allocation case study.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Genetic algorithm evaluation of green search allocation policies in multilevel complex urban scenarios.
J. Comput. Sci., 2015

Agent-based Modelling for Green Space Allocation in Urban Areas - Factors Influencing Agent Behaviour.
Proceedings of the ICAART 2015, 2015

2013
Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments.
Proceedings of the Agents and Artificial Intelligence - 5th International Conference, 2013

Evolving Urbanisation Policies - Using a Statistical Model to Accelerate Optimisation over Agent-based Simulations.
Proceedings of the ICAART 2013, 2013

2012
A fast approximative approach for the Vehicle Routing Problem.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012


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