Maria Perez-Ortiz

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César Hervás MartínezUniversity of Córdoba, Full ProfessorVerified email at uco.es
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Javier Sánchez-MonederoDistinguished Researcher, University of CórdobaVerified email at uco.es
Rafal K. MantiukProfessor of Graphics and Displays, University of Cambridge, UKVerified email at cl.cam.ac.uk
Emine YilmazUniversity College LondonVerified email at ucl.ac.uk
Francisca López-GranadosInstitute for Sustainable Agriculture, CSIC, Córdoba, SpainVerified email at imaping.csic.es
Jorge Torres-SánchezAssistan professor, University of CórdobaVerified email at uco.es
José Manuel Peña BarragánCSIC Tenured Scientist, Tech4Agro research groupVerified email at ica.csic.es
J. Scott HoskingThe Alan Turing Institute, British Antarctic SurveyVerified email at bas.ac.uk
Sancho Salcedo-SanzCatedrático de Teoría de la Señal, Universidad de AlcaláVerified email at uah.es
Sophie WuergerUniversity of LiverpoolVerified email at liverpool.ac.uk
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKVerified email at cs.bham.ac.uk
Jaime CardosoFull Professor at Faculty of Engineering, University of Porto; Researcher, INESC TECVerified email at fe.up.pt
John O'GradyHepatologist Ex- King's CollegeVerified email at kcl.ac.uk
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca
Benjamin GuedjInria and University College London (UCL)Verified email at inria.fr
Yvonne RogersUniversity College LondonVerified email at ucl.ac.uk
Manuel Fernández DelgadoUniversity of Santiago de CompostelaVerified email at usc.es
Alberto SuárezProfessor of Artificial Intelligence, Computer Science Department, Universidad Autónoma de MadridVerified email at uam.es
Xin YaoLingnan University (Hong Kong) and University of Birmingham (UK)

Maria Perez-Ortiz

Associate Professor, University College London

Verified email at ucl.ac.uk - Homepage

Machine learning AI for sustainability Responsible AI AI & policy


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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	492	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	226	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	207	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	181	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	155	2016
Tighter Risk Certificates for Neural Networks M Pérez-Ortiz, O Rivasplata, J Shawe-Taylor, C Szepesvári Journal of Machine Learning Research, 2021	122	2021
A practical guide and software for analysing pairwise comparison experiments M Perez-Ortiz, R Mantiuk CoRR, arXiv preprint, 2017	90	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	80	2015
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	75	2018
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	74	2014
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	70	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	61	2016
Projection-Based Ensemble Learning for Ordinal Regression M Pérez-Ortiz, PA Gutiérrez, C Hervás-Martínez IEEE Transactions on Cybernetics, 2013	58	2013
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	56	2020
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	54	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	54	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	48	2020
Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review GA Mesías-Ruiz, M Pérez-Ortiz, J Dorado, AI De Castro, JM Peña Frontiers in Plant Science 14, 1143326, 2023	39	2023
Predicting Engagement in Video Lectures S Bulathwela, M Pérez-Ortiz, A Lipani, E Yilmaz, J Shawe-Taylor International Conference on Educational Data Mining, 2020	38	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	37	2012

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