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 | 183 | 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 | 139 | 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 | 127 | 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 | 97 | 2018 |
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 | 52 | 2021 |
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 | 51 | 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, 1-14, 2010 | 50 | 2010 |
Anomaly detection using autoencoder reconstruction upon industrial motors S Givnan, C Chalmers, P Fergus, S Ortega-Martorell, T Whalley Sensors 22 (9), 3166, 2022 | 38 | 2022 |
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 | 36 | 2012 |
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 | 33 | 2016 |
Probabilistic quantum clustering RV Casana-Eslava, PJG Lisboa, S Ortega-Martorell, IH Jarman, ... Knowledge-Based Systems 194, 105567, 2020 | 27* | 2020 |
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 | 27 | 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 | 26 | 2012 |
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 | 21 | 2020 |
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 | 20 | 2013 |
Intelligent contracting agents language S Panagiotidi, J Vázquez-Salceda, S Alvarez-Napagao, ... Behaviour Regulation in MAS, AISB, 49-55, 2008 | 18 | 2008 |
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 | 17 | 2022 |
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, 1-11, 2015 | 15 | 2015 |
How to open a black box classifier for tabular data B Walters, S Ortega-Martorell, I Olier, PJG Lisboa Algorithms 16 (4), 181, 2023 | 12* | 2023 |
Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective SJ Mohammed, SL Zubaidi, S Ortega-Martorell, N Al-Ansari, S Ethaib, ... Cogent Engineering 9 (1), 2143051, 2022 | 12 | 2022 |