Maria Perez-Ortiz
Maria Perez-Ortiz
Associate Professor, University College London
Verified email at - Homepage
Cited by
Cited by
Ordinal regression methods: survey and experimental study
PA Gutiérrez, M Perez-Ortiz, J Sanchez-Monedero, F Fernandez-Navarro, ...
IEEE Transactions on Knowledge and Data Engineering 28 (1), 127-146, 2015
A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
M Pérez-Ortiz, JM Peña, PA Gutiérrez, J Torres-Sánchez, ...
Applied Soft Computing 37, 533-544, 2015
Selecting patterns and features for between-and within-crop-row weed mapping using UAV-imagery
M Pérez-Ortiz, JM Peña, PA Gutiérrez, J Torres-Sánchez, ...
Expert Systems with Applications 47, 85-94, 2016
Seasonal Arctic sea ice forecasting with probabilistic deep learning
TR Andersson, JS Hosking, M Pérez-Ortiz, B Paige, A Elliott, C Russell, ...
Nature Communications, 2021
A review of classification problems and algorithms in renewable energy applications
M Pérez-Ortiz, S Jiménez-Fernández, PA Gutiérrez, E Alexandre, ...
Energies 9 (8), 607, 2016
Tighter Risk Certificates for Neural Networks
M Pérez-Ortiz, O Rivasplata, J Shawe-Taylor, C Szepesvári
Journal of Machine Learning Research, 2021
A practical guide and software for analysing pairwise comparison experiments
M Perez-Ortiz, R Mantiuk
CoRR, arXiv preprint, 2017
Oversampling the Minority Class in the Feature Space
M Pérez-Ortiz, PA Gutiérrez, P Tino, C Hervás-Martínez
IEEE Transactions on Neural Networks and Learning Systems, 2015
Graph-based approaches for over-sampling in the context of ordinal regression
M Perez-Ortiz, PA Gutierrez, C Hervas-Martinez, X Yao
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1233-1245, 2014
Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation
MD Ayllón, R Ciria, M Cruz‐Ramírez, M Pérez‐Ortiz, I Gómez, R Valente, ...
Liver Transplantation 24 (2), 192-203, 2018
From pairwise comparisons and rating to a unified quality scale
M Perez-Ortiz, A Mikhailiuk, E Zerman, V Hulusic, G Valenzise, ...
IEEE Transactions on Image Processing 29, 1139-1151, 2019
Machine learning paradigms for weed mapping via unmanned aerial vehicles
M Pérez-Ortiz, PA Gutiérrez, JM Peña, J Torres-Sánchez, ...
2016 IEEE symposium series on computational intelligence (SSCI), 1-8, 2016
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
S Bulathwela, M Perez-Ortiz, E Yilmaz, J Shawe-Taylor
2020 AAAI Conference on Artificial Intelligence, 2020
Projection-Based Ensemble Learning for Ordinal Regression
M Pérez-Ortiz, PA Gutiérrez, C Hervás-Martínez
IEEE Transactions on Cybernetics, 2013
Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem
M Dorado-Moreno, M Pérez-Ortiz, PA Gutiérrez, R Ciria, J Briceño, ...
Artificial Intelligence in Medicine 77, 1-11, 2017
An organ allocation system for liver transplantation based on ordinal regression
M Pérez-Ortiz, M Cruz-Ramírez, MD Ayllón-Terán, N Heaton, R Ciria, ...
Applied Soft Computing 14, 88-98, 2014
Spatio-chromatic contrast sensitivity under mesopic and photopic light levels
S Wuerger, M Ashraf, M Kim, J Martinovic, M Pérez-Ortiz, RK Mantiuk
Journal of Vision, 2020
Predicting Engagement in Video Lectures
S Bulathwela, M Pérez-Ortiz, A Lipani, E Yilmaz, J Shawe-Taylor
International Conference on Educational Data Mining, 2020
An experimental study of different ordinal regression methods and measures
PA Gutiérrez, M Pérez-Ortiz, F Fernández-Navarro, J Sánchez-Monedero, ...
Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS …, 2012
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
A Mikhailiuk, C Wilmot, M Perez-Ortiz, D Yue, R Mantiuk
International Conference on Pattern Recognition (ICPR), 2020
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