Sandra Ortega-Martorell

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	Wszystkie	Od 2020
Cytowania	1422	1161
h-indeks	18	15
i10-indeks	29	23

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Ivan OlierProfessor of Artificial Intelligence and Data Science, Liverpool John Moores UniversityZweryfikowany adres z ljmu.ac.uk
Paulo Lisboaliverpool john moores universityZweryfikowany adres z ljmu.ac.uk
Margarida Julià-SapéUniversitat Autònoma de Barcelona (UAB)Zweryfikowany adres z uab.cat
Salah L. ZubaidiAssociate Professor in Civil Engineering- Wasit UniversityZweryfikowany adres z uowasit.edu.iq
Alfredo VellidoFull Professor in Artificial Intelligence, Universitat Politècnica de Catalunya (UPCZweryfikowany adres z cs.upc.edu
Hussein Al-BugharbeePhD mechanical engineering, Wasit UniversityZweryfikowany adres z uowasit.edu.iq
Ana Paula CandiotaProfessor Agregat Laboral. Universitat Autònoma de BarcelonaZweryfikowany adres z uab.cat
Patryk KotProfessor of Microwave Sensor Technologies, iiCON, Liverpool School of Tropical MedicineZweryfikowany adres z lstmed.ac.uk
José D. Martin-GuerreroETSE-UV, Universitat de ValènciaZweryfikowany adres z uv.es
Rafid AlkhaddarEmeritus Professor, Liverpool John Moores UniversityZweryfikowany adres z ljmu.ac.uk
Mark PieroniLiverpool John Moores UniversityZweryfikowany adres z 2018.ljmu.ac.uk
Rui V Simoesi3S - Institute for Research and Innovation in HealthZweryfikowany adres z i3s.up.pt
Dr Brian W JohnstonDoctoral Research Fellow, Liverpool Centre for Cardiovascular Science.Zweryfikowany adres z liverpool.ac.uk
Ingeborg WeltersUniversity of LiverpoolZweryfikowany adres z liverpool.ac.uk
Dr Scott W MurrayConsultant Interventional Cardiologist, Royal Liverpool University Hospital and LHCHZweryfikowany adres z lhch.nhs.uk
Philippa Grace McCabeLiverpool John Moores UniversiyZweryfikowany adres z ljmu.ac.uk
Radka StoyanovaProfessorZweryfikowany adres z med.miami.edu
Steven WillmottSafe Intelligence LtdZweryfikowany adres z timewarp.io
Javier Vazquez-SalcedaAssociate Professor, Universitat Politecnica de CatalunyaZweryfikowany adres z cs.upc.edu
Joan Marti FàbregasNeurologoZweryfikowany adres z santpau.cat

Obserwuj

Sandra Ortega-Martorell

Professor of Data Science, Liverpool John Moores University

Zweryfikowany adres z ljmu.ac.uk - Strona główna

Machine Learning Artificial Intelligence


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	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	209	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	150	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	134	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	104	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	70	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 Simoes, M Pumarola, ... Public Library of Science 7 (10), e47824, 2012	53	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	38	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	35	2016
Probabilistic quantum clustering RV Casana-Eslava, PJG Lisboa, S Ortega-Martorell, IH Jarman, ... Knowledge-Based Systems 194, 105567, 2020	33	2020
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	29	2022
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
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	22	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	21	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
Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus R Wang, HC Gerstein, HGC Van Spall, GYH Lip, I Olier, ... European Heart Journal-Quality of Care and Clinical Outcomes 9 (5), 537-545, 2023	16	2023

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