Sandra Ortega-Martorell

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Ivan OlierSenior Lecturer in Data Science, Liverpool John Moores UniversityVerified email at ljmu.ac.uk
Margarida Julià-SapéUniversitat Autònoma de Barcelona (UAB)Verified email at uab.cat
Alfredo VellidoFull Professor in Artificial Intelligence, Universitat Politècnica de Catalunya (UPCVerified email at cs.upc.edu
Hussein Al-BugharbeePhD mechanical engineering, Wasit UniversityVerified email at uowasit.edu.iq
Ana Paula CandiotaInvestigador Postdoctoral CIBER (Centro de Investigación Biomédica en Red)Verified email at uab.cat
Patryk KotProfessor of Microwave Sensor Technologies, Liverpool John Moores UniversityVerified email at ljmu.ac.uk
José D. Martin-GuerreroETSE-UV, Universitat de ValènciaVerified email at uv.es
Rafid AlkhaddarDean of Academic Affairs, Oryx Universal College, Doha, QatarVerified email at ljmu.ac.uk
Rui V Simoesi3S - Institute for Research and Innovation in HealthVerified email at i3s.up.pt
Mark PieroniLiverpool John Moores UniversityVerified email at 2018.ljmu.ac.uk
Radka StoyanovaProfessorVerified email at med.miami.edu
Steven WillmottTimewarp Inc.Verified email at timewarp.io
Javier Vazquez-SalcedaAssociate Professor, Universitat Politecnica de CatalunyaVerified email at cs.upc.edu
Philippa Grace McCabeLiverpool John Moores UniversiyVerified email at 2014.ljmu.ac.uk
Dr Scott W MurrayConsultant Interventional Cardiologist, Royal Liverpool University Hospital and LHCHVerified email at lhch.nhs.uk
Joan Marti FàbregasNeurologoVerified email at santpau.cat
Nuno Pedrosa de Barrosicometrix, Leuven, BelgiumVerified email at icometrix.com
Johannes Slotboom, PhDAssociate Professor, Neuroradiology, Inselspital, University BernVerified email at insel.ch
Davide BacciuDipartimento di Informatica, Università di PisaVerified email at di.unipi.it
Jonathan M. GaribaldiUniversity of NottinghamVerified email at cs.nott.ac.uk

Sandra Ortega-Martorell

Senior Lecturer in Data Science, Liverpool John Moores University

Verified email at ljmu.ac.uk - Homepage

Machine Learning


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Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study SL Zubaidi, S Ortega-Martorell, H Al-Bugharbee, I Olier, KS Hashim, ... Water 12 (7), 1885, 2020	155	2020
A method for predicting long-term municipal water demands under climate change SL Zubaidi, S Ortega-Martorell, P Kot, RM Alkhaddar, M Abdellatif, ... Water Resources Management 34, 1265-1279, 2020	123	2020
A novel methodology for prediction urban water demand by wavelet denoising and adaptive neuro-fuzzy inference system approach SL Zubaidi, H Al-Bugharbee, S Ortega-Martorell, SK Gharghan, I Olier, ... Water 12 (6), 1628, 2020	109	2020
A Novel approach for predicting monthly water demand by combining singular spectrum analysis with neural networks SL Zubaidi, J Dooley, RM Alkhaddar, M Abdellatif, H Al-Bugharbee, ... Journal of hydrology 561, 136-145, 2018	75	2018
Convex non-negative matrix factorization for brain tumor delimitation from MRSI data S Ortega-Martorell, PJG Lisboa, A Vellido, RV Simões, M Pumarola, ... Public Library of Science 7 (10), e47824, 2012	50	2012
SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system S Ortega-Martorell, I Olier, M Julià-Sapé, C Arús BMC bioinformatics 11 (1), 1-14, 2010	45	2010
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours S Ortega-Martorell, PJG Lisboa, A Vellido, M Julià-Sapé, C Arús BMC bioinformatics 13, 1-20, 2012	31	2012
How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management I Olier, S Ortega-Martorell, M Pieroni, GYH Lip Cardiovascular Research 117 (7), 1700-1717, 2021	29	2021
MRSI‐based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis T Delgado‐Goñi, S Ortega‐Martorell, M Ciezka, I Olier, AP Candiota, ... NMR in Biomedicine 29 (6), 732-743, 2016	28	2016
A novel semi-supervised methodology for extracting tumor type-specific mrs sources in human brain data S Ortega-Martorell, H Ruiz, A Vellido, I Olier, E Romero, M Julià-Sapé, ... PloS one 8 (12), e83773, 2013	26	2013
Improving the classification of brain tumors in mice with Perturbation Enhanced (PE)-MRSI RV Simões, S Ortega-Martorell, T Delgado-Goñi, Y Le Fur, M Pumarola, ... Integrative Biology 4 (2), 183-191, 2012	24	2012
Probabilistic quantum clustering RV Casaña-Eslava, PJG Lisboa, S Ortega-Martorell, IH Jarman, ... Knowledge-Based Systems 194, 105567, 2020	18*	2020
Intelligent contracting agents language S Panagiotidi, J Vázquez-Salceda, S Alvarez-Napagao, ... Behaviour Regulation in MAS, AISB, 49-55, 2008	18	2008
Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours A Vilamala, PJG Lisboa, S Ortega-Martorell, A Vellido Pattern Recognition Letters 34 (14), 1734-1747, 2013	17	2013
Anti‐tumour immune response in GL261 glioblastoma generated by Temozolomide Immune‐Enhancing Metronomic Schedule monitored with MRSI‐based nosological images S Wu, P Calero‐Pérez, L Villamañan, N Arias‐Ramos, M Pumarola, ... NMR in Biomedicine 33 (4), e4229, 2020	16	2020
From raw data to data-analysis for magnetic resonance spectroscopy–the missing link: jMRUI2XML V Mocioiu, S Ortega-Martorell, I Olier, M Jablonski, J Starcukova, P Lisboa, ... BMC bioinformatics 16 (1), 1-11, 2015	11	2015
Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors S Givnan, C Chalmers, P Fergus, S Ortega-Martorell, T Whalley Sensors 22 (9), 3166, 2022	10	2022
Spectral decomposition methods for the analysis of MRS information from human brain tumors S Ortega-Martorell, A Vellido, PJG Lisboa, M Julià-Sapé, C Arús The 2011 International Joint Conference on Neural Networks, 3279-3284, 2011	10	2011
Pattern recognition analysis of MR spectra S Ortega-Martorell, M Julia-Sape, P Lisboa, C Arús Handbook of magnetic resonance spectroscopy in vivo: MRS theory, practice …, 2016	8	2016
A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality’s parameters: current trends and future directions ZS Khudhair, SL Zubaidi, S Ortega-Martorell, N Al-Ansari, S Ethaib, ... Environments 9 (7), 85, 2022	7	2022

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