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Sandra Ortega-Martorell
Sandra Ortega-Martorell
Senior Lecturer in Data Science, Liverpool John Moores University
Verified email at ljmu.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1552020
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
1232020
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
1092020
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
752018
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
502012
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
452010
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
312012
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
292021
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
282016
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
262013
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
242012
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
182008
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
172013
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
162020
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
112015
Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors
S Givnan, C Chalmers, P Fergus, S Ortega-Martorell, T Whalley
Sensors 22 (9), 3166, 2022
102022
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
102011
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
82016
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
72022
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