Sandra Ortega-Martorell

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Ivan OlierProfessor of Artificial Intelligence and Data Science, Liverpool John Moores UniversityE-mailová adresa ověřena na: ljmu.ac.uk
Paulo Lisboaliverpool john moores universityE-mailová adresa ověřena na: ljmu.ac.uk
Margarida Julià-SapéUniversitat Autònoma de Barcelona (UAB)E-mailová adresa ověřena na: uab.cat
Salah L. ZubaidiAssociate Professor in Civil Engineering- Wasit UniversityE-mailová adresa ověřena na: uowasit.edu.iq
Alfredo VellidoFull Professor in Artificial Intelligence, Universitat Politècnica de Catalunya (UPCE-mailová adresa ověřena na: cs.upc.edu
Hussein Al-BugharbeePhD mechanical engineering, Wasit UniversityE-mailová adresa ověřena na: uowasit.edu.iq
Ana Paula CandiotaProfessor Agregat Laboral. Universitat Autònoma de BarcelonaE-mailová adresa ověřena na: uab.cat
Patryk KotProfessor of Microwave Sensor Technologies, iiCON, Liverpool School of Tropical MedicineE-mailová adresa ověřena na: lstmed.ac.uk
José D. Martin-GuerreroETSE-UV, Universitat de ValènciaE-mailová adresa ověřena na: uv.es
Rafid AlkhaddarEmeritus Professor, Liverpool John Moores UniversityE-mailová adresa ověřena na: ljmu.ac.uk
Mark PieroniLiverpool John Moores UniversityE-mailová adresa ověřena na: 2018.ljmu.ac.uk
Rui V Simoesi3S - Institute for Research and Innovation in HealthE-mailová adresa ověřena na: i3s.up.pt
Brian JohnstonDoctoral Research Fellow, Liverpool Centre for Cardiovascular Science.E-mailová adresa ověřena na: liverpool.ac.uk
Ingeborg WeltersUniversity of LiverpoolE-mailová adresa ověřena na: liverpool.ac.uk
Dr Scott W MurrayConsultant Interventional Cardiologist, Royal Liverpool University Hospital and LHCHE-mailová adresa ověřena na: lhch.nhs.uk
Philippa Grace McCabeLiverpool John Moores UniversiyE-mailová adresa ověřena na: ljmu.ac.uk
Radka StoyanovaProfessorE-mailová adresa ověřena na: med.miami.edu
Steven WillmottTimewarp Inc.E-mailová adresa ověřena na: timewarp.io
Javier Vazquez-SalcedaAssociate Professor, Universitat Politecnica de CatalunyaE-mailová adresa ověřena na: cs.upc.edu
Joan Marti FàbregasNeurologoE-mailová adresa ověřena na: santpau.cat

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Sandra Ortega-Martorell

Professor of Data Science, Liverpool John Moores University

E-mailová adresa ověřena na: ljmu.ac.uk - Domovská stránka

Machine Learning Artificial Intelligence


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
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	208	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	151	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	136	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	103	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	67	2021
Anomaly detection using autoencoder reconstruction upon industrial motors S Givnan, C Chalmers, P Fergus, S Ortega-Martorell, T Whalley Sensors 22 (9), 3166, 2022	58	2022
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
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	37	2012
Probabilistic quantum clustering RV Casana-Eslava, PJG Lisboa, S Ortega-Martorell, IH Jarman, ... Knowledge-Based Systems 194, 105567, 2020	35	2020
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	35	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	28	2013
In-hospital mortality of sepsis differs depending on the origin of infection: an investigation of predisposing factors M Pieroni, I Olier, S Ortega-Martorell, BW Johnston, ID Welters Frontiers in medicine 9, 915224, 2022	27	2022
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	24	2020
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	21	2022
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	19	2008
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	18	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	16	2015

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