Dr Ivan Olier-Caparroso

School of Computer Science and Mathematics

I am the Head of the Data Science Research Centre and a Reader in Artificial Intelligence and Data Science. My research interests lie in algorithms for Artificial Intelligence, with a specific focus on Causal AI, Digital Twins, and the modelling of large-scale, highly structured, and/or relational data (including multivariate time series, graphs, networks, etc.). My research finds its applications in various domains such as cardiovascular science, drug development, bioinformatics, healthcare, astrophysics, engineering, etc. Additionally, I hold a senior membership position at the Liverpool Centre for Cardiovascular Science (LCCS).

Degrees

2008, Technical University of Catalonia, Spain, PhD, Artificial Intelligence
2005, Technical University of Catalonia, Spain, MSc, Artificial Intelligence
1998, National University of Colombia, Colombia, BEng (Hons), Mechanical Engineering

Academic appointments

Head of the Data Science Research Centre, Liverpool John Moores University, 2023 - present
Reader in Artificial Intelligence and Data Science, Liverpool John Moores University, 2023 - present
Senior Lecturer in Data Science, Liverpool John Moores University, 2018 - 2023
Senior Lecturer in Computer Science, Manchester Metropolitan University, 2017 - 2018
Lecturer in Health Informatics, Keele University, 2015 - 2017

Journal article

Wang R, Liu Y, Thabane L, Olier I, Li L, Ortega-Martorell S, Lip GYH, Li G. 2024. Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study Nutrition Journal, 23 :15 DOI Author Url Publisher Url Public Url

Ungan G, Pons-Escoda A, Ulinic D, Arús C, Ortega-Martorell S, Olier I, Vellido A, Majós C, Julià-Sapé M. 2024. Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous NMR in Biomedicine, :1-12 DOI Author Url Publisher Url Public Url

Palermi S, Vecchiato M, Saglietto A, Niederseer D, Oxborough D, Ortega-Martorell S, Olier I, Castelletti S, Baggish A, Maffessanti F, Biffi A, D’Andrea A, Zorzi A, Cavarretta E, D’Ascenzi F. 2024. Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete’s heart? European Journal of Preventive Cardiology, DOI Author Url Publisher Url Public Url

Mistry D, Copperwheat CM, Darnley MJ, Olier I. 2024. Machine-learning applications for cataclysmic variable discovery in the ZTF alert stream Monthly Notices of the Royal Astronomical Society, 527 :8633-8658 DOI Publisher Url

Ortega-Martorell S, Bellfield RAA, Harrison S, Dyke D, Williams N, Olier I. 2023. Mapping the global free expression landscape using machine learning SN Applied Sciences, 5 DOI Publisher Url Public Url

Olier I, Zhan Y, Liang X, Volovici V. 2023. Causal inference and observational data BMC Medical Research Methodology, 23 DOI Author Url Publisher Url Public Url

Ortega-Martorell S, Olier I, Johnston BW, Welters ID. 2023. Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to critical care in sinus rhythm Frontiers in Medicine, 10 DOI Author Url Publisher Url Public Url

Ortega Martorell S, Olier I, Hernandez O, Restrepo-Galvis PD, Bellfield RAA, Candiota AP. 2023. Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks Cancers, 15 DOI Author Url Publisher Url Public Url

Wang R, Gerstein HC, Van Spall HGC, Lip GYH, Olier I, Ortega-Martorell S, Thabane L, Ye Z, Li G. 2023. Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus European heart journal. Quality of care & clinical outcomes, 9 :537-545 DOI Author Url Publisher Url Public Url

Wang R, Gerstein HC, Van Spall HG, Lip GY, Olier I, Ortega-Martorell S, Thabane L, Ye Z, Li G. 2023. Relationship between remnant cholesterol and risk of heart failure in participants with diabetes mellitus: reply. European heart journal. Quality of care & clinical outcomes, :qcad038-qcad038 DOI Author Url Publisher Url

Walters B, Ortega-Martorell S, Olier I, Lisboa PJG. 2023. How to Open a Black Box Classifier for Tabular Data Algorithms, 16 DOI Publisher Url Public Url

Heseltine T, Hughes E, Mattew J, Murray S, Ortega-Martorell S, Olier I, Dey D, Lip GYH, Khoo S. 2023. The association of epicardial adipose tissue volume and density with coronary calcium in HIV-positive and HIV-negative patients Journal of Infection, DOI Author Url Publisher Url Public Url

Vinciguerra M, Olier I, Ortega-Martorell S, Lip GYH. 2022. New use for an old drug: Metformin and atrial fibrillation. Cell reports. Medicine, 3 DOI Author Url Publisher Url Public Url

Lisboa PJG, Jayabalan M, Ortega-Martorell S, Olier I, Medved D, Nilsson J. 2022. Enhanced survival prediction using explainable artificial intelligence in heart transplantation. Scientific Reports, 12 DOI Author Url Publisher Url Public Url

Bellfield RAA, Ortega-Martorell S, Lip GYH, Oxborough D, Olier I. 2022. The Athlete’s Heart and Machine Learning: A Review of Current Implementations and Gaps for Future Research Journal of Cardiovascular Development and Disease, 9 DOI Author Url Publisher Url Public Url

Wang R, Olier I, Ortega-Martorell S, Liu Y, Ye Z, Lip GYH, Li G. 2022. Association between metabolically healthy obesity and risk of atrial fibrillation: taking physical activity into consideration Cardiovascular Diabetology, 21 DOI Author Url Publisher Url Public Url

Mistry D, Copperwheat CM, Darnley MJ, Olier I. 2022. Machine Learning based search for Cataclysmic Variables within Gaia Science Alerts Monthly Notices of the Royal Astronomical Society, 517 :3362-3376 DOI Author Url Publisher Url Public Url

Ortega Martorell S, Riley P, Olier-Caparroso I, Raidou RG, Casaña-Eslava RV, Rea M, Shen L, Lisboa PJG, Palmieri C. 2022. Breast cancer patient characterisation and visualisation using deep learning and fisher information networks Scientific Reports, 12 :14004 DOI Author Url Publisher Url Public Url

Pieroni M, Olier-Caparroso I, Ortega Martorell S, Johnston B, Welters I. 2022. In-hospital mortality of sepsis differs depending on the origin of infection: an investigation of predisposing factors Frontiers in Medicine - Intensive care medicine and anesthesiology, 9 DOI Author Url Publisher Url Public Url

McCabe PG, Lisboa P, Baltzopoulos V, Olier I. 2022. Externally validated models for first diagnosis and risk of progression of knee osteoarthritis. PloS one, 17 DOI Author Url Publisher Url Public Url

Ortega-Martorell S, Pieroni M, Johnston BW, Olier I, Welters ID. 2022. Development of a Risk Prediction Model for New Episodes of Atrial Fibrillation in Medical-Surgical Critically Ill Patients Using the AmsterdamUMCdb Frontiers in Cardiovascular Medicine, 9 DOI Author Url Publisher Url Public Url

Olier I, Orhobor OI, Dash T, Davis AM, Soldatova LN, Vanschoren J, King RD. 2021. Transformational machine learning: Learning how to learn from many related scientific problems. Proceedings of the National Academy of Sciences, 118 DOI Author Url Publisher Url Public Url

Heseltine T, Murray S, Ortega Martorell S, Olier-Caparroso I, Lip GYH, Khoo S. 2021. Associations of Hepatosteatosis with Cardiovascular Disease in HIV Positive and HIV Negative Patients: The Liverpool HIV-Heart Project Journal of Acquired Immune Deficiency Syndromes, 87 :1221-1227 DOI Author Url Publisher Url Public Url

Olier I, Ortega-Martorell S, Pieroni M, Lip GYH. 2021. How machine learning is impacting research in atrial fibrillation: Implications for risk prediction and future management Cardiovascular Research, 117 :1700-1717 DOI Author Url Publisher Url Public Url

Núñez-Gil IJ, Olier I, Feltes G, Viana-Llamas MC, Maroun-Eid C, Romero R, Fernández-Rozas I, Uribarri A, Becerra-Muñoz VM, Alfonso-Rodriguez E, García-Aguado M, Elola J, Castro-Mejía A, Pepe M, Garcia-Prieto JF, Gonzalez A, Ugo F, Cerrato E, Bondia E, Raposeiras-Roubin S, Mendez JLJ, Espejo C, López-Masjuan Á, Marin F, López-Pais J, Abumayyaleh M, Corbi-Pascual M, Liebetrau C, Ramakrishna H, Estrada V, Macaya C, Fernandez-Ortiz A, HOPE COVID-19 Investigators (Cols Appendix) . 2021. Renin-angiotensin system inhibitors effect before and during hospitalization in COVID-19 outcomes: Final analysis of the international HOPE COVID-19 (Health Outcome Predictive Evaluation for COVID-19) registry. American Heart Journal, 237 :104-115 DOI Author Url Publisher Url Public Url

Ta Q, Ting J, Harwood S, Browning N, Simm A, Ross K, Olier I, Al-Kassas R. 2021. Chitosan nanoparticles for enhancing drugs and cosmetic components penetration through the skin European Journal of Pharmaceutical Sciences, DOI Author Url Publisher Url Public Url

Zubaidi SL, Ortega-Martorell S, Al-Bugharbee H, Olier I, Hashim KS, Gharghan SK, Kot P, Al-Khaddar R. 2020. Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study Water, 12 :1885-1885 DOI Author Url Publisher Url Public Url

Zubaidi S, Al-Bugharbee H, Ortega Martorell S, Gharghan SK, Olier I, Hashim KS, Al-Bdairi NSS, Kot P. 2020. A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach Water, 12 DOI Author Url Publisher Url Public Url

Sadawi N, Olier I, Vanschoren J, van Rijn JN, Besnard J, Bickerton R, Grosan C, Soldatova L, King RD. 2019. Multi-task learning with a natural metric for quantitative structure activity relationship learning Journal of Cheminformatics, 11 :1-13 DOI Author Url Publisher Url Public Url

Ortega Martorell S, Candiota AP, Thomson R, Riley P, Julia-Sape M, Olier I. 2019. Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models Gozzi A. PLoS One, 14 :1-21 DOI Author Url Publisher Url Public Url

Olier I, Orhobor OI, Vanschoren J, King RD. 2018. Transformative Machine Learning Author Url

Olier I, Sirker A, Hildick-Smith DJR, Kinnaird T, Ludman P, De Belder MA, Baumbach A, Byrne J, Rashid M, Curzen N, Mamas MA. 2018. Association of different antiplatelet therapies with mortality after primary percutaneous coronary intervention Heart, DOI Author Url Publisher Url Public Url

Olier I, Carr M, Curzen N, Ludman P, Baumbach A, Kinnaird T, de Belder MA, Hildick-Smith D, Sirker A, Kwok CS, Rashid M, Nolan J, Kontopantelis E, Mamas MA. 2018. Changes in Periprocedural Bleeding Complications Following Percutaneous Coronary Intervention in The United Kingdom Between 2006 and 2013 (from the British Cardiovascular Interventional Society) American Journal of Cardiology, 122 :952-960 DOI Author Url Publisher Url Public Url

Olier I, Sadawi N, Bickerton GR, Vanschoren J, Grosan C, Soldatova L, King RD. 2018. Meta-QSAR: a large-scale application of meta-learning to drug design and discovery Machine Learning, 107 :285-311 DOI Author Url Publisher Url Public Url

Rashid M, Rushton CA, Kwok CS, Kinnaird T, Kontopantelis E, Olier I, Ludman P, De Belder MA, Nolan J, Mamas MA. 2017. Impact of Access Site Practice on Clinical Outcomes in Patients Undergoing Percutaneous Coronary Intervention Following Thrombolysis for ST-Segment Elevation Myocardial Infarction in the United Kingdom An Insight From the British Cardiovascular Intervention Society Dataset JACC: Cardiovascular Interventions, 10 :2258-2265 DOI Author Url Publisher Url Public Url

Springate DA, Parisi R, Olier I, Reeves D, Kontopantelis E. 2017. rEHR: An R package for manipulating and analysing Electronic Health Record data PLoS ONE, 12 DOI Author Url Publisher Url Public Url

Kwok CS, Hulme W, Olier I, Holroyd E, Mamas MA. 2017. Review of early hospitalisation after percutaneous coronary intervention International Journal of Cardiology, 227 :370-377 DOI Author Url Publisher Url Public Url

Rashid M, Kwok CS, Gale CP, Doherty P, Olier I, Sperrin M, Kontopantelis E, Peat G, Mamas MA. 2017. Impact of co-morbid burden on mortality in patients with coronary heart disease, heart failure, and cerebrovascular accident: A systematic review and meta-analysis European Heart Journal - Quality of Care and Clinical Outcomes, 3 :20-36 DOI Author Url Publisher Url Public Url

Delgado-Goñi T, Ortega Martorell S, Ciezka M, Olier I, Candiota AP, Julià-Sapé M, Fernández F, Pumarola M, Lisboa P, Arús C. 2016. MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis NMR in Biomedicine, 29 :732-743 DOI Author Url Publisher Url Public Url

Olier I, Springate DA, Ashcroft DM, Doran T, Reeves D, Planner C, Reilly S, Kontopantelis E. 2016. Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink PLOS ONE, 11 DOI Author Url Publisher Url

Kontopantelis E, Olier I, Planner C, Reeves D, Ashcroft DM, Gask L, Doran T, Reilly S. 2015. Primary care consultation rates among people with and without severe mental illness: a UK cohort study using the Clinical Practice Research Datalink BMJ OPEN, 5 DOI Author Url Publisher Url

Reilly S, Olier I, Planner C, Doran T, Reeves D, Ashcroft DM, Gask L, Kontopantelis E. 2015. Inequalities in physical comorbidity: a longitudinal comparative cohort study of people with severe mental illness in the UK BMJ OPEN, 5 DOI Author Url Publisher Url

Mocioiu V, Ortega-Martorell S, Olier I, Jablonski M, Starcukova J, Lisboa P, Arús C, Julià-Sapé M. 2015. From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML. BMC Bioinformatics, 16 :1-11 DOI Author Url Publisher Url Public Url

Springate DA, Kontopantelis E, Ashcroft DM, Olier I, Parisi R, Chamapiwa E, Reeves D. 2014. ClinicalCodes: An Online Clinical Codes Repository to Improve the Validity and Reproducibility of Research Using Electronic Medical Records PLOS ONE, 9 DOI Author Url Publisher Url

Reeves D, Springate DA, Ashcroft DM, Ryan R, Doran T, Morris R, Olier I, Kontopantelis E. 2014. Can analyses of electronic patient records be independently and externally validated? The effect of statins on the mortality of patients with ischaemic heart disease: a cohort study with nested case-control analysis BMJ OPEN, 4 DOI Author Url Publisher Url

Ortega-Martorell S, Ruiz H, Vellido A, Olier I, Romero E, Julia-Sape M, Martin JD, Jarman I, Arus C, Lisboa P. 2013. A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data PLOS ONE, 8 :1-14 DOI Author Url Publisher Url Public Url

Olier I, Trujillo-Barreto NJ, El-Deredy W. 2013. A switching multi-scale dynamical network model of EEG/MEG NEUROIMAGE, 83 :262-287 DOI Author Url Publisher Url

Barreto L, Canadell D, Petrezselyova S, Navarrete C, Maresova L, Perez-Valle J, Herrera R, Olier I, Giraldo J, Sychrova H, Yenush L, Ramos J, Arino J. 2011. A Genomewide Screen for Tolerance to Cationic Drugs Reveals Genes Important for Potassium Homeostasis in Saccharomyces cerevisiae EUKARYOTIC CELL, 10 :1241-1250 DOI Author Url Publisher Url

Olier I, Amengual J, Vellido A. 2011. A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients NEUROCOMPUTING, 74 :1301-1314 DOI Author Url Publisher Url

Perez-Ruiz A, Julia-Sape M, Mercadal G, Olier I, Majos C, Arus C. 2010. The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses BMC BIOINFORMATICS, 11 DOI Author Url Publisher Url

Ortega-Martorell S, Olier I, Julia-Sape M, Arus C. 2010. SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system BMC Bioinformatics, 11 DOI Author Url Publisher Url Public Url

Garcia-Gomez JM, Luts J, Julia -Sape M, Krooshof P, Tortajada S, Vicente Robledo J, Melssen W, Fuster-Garcia E, Olier I, Postma G, Monleon D, Moreno-Torres A, Pujol J, Candiota A-P, Carmen Martinez-Bisbal M, Suykens J, Buydens L, Celda B, Van Huffel S, Arus C, Robles M. 2009. Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 22 :5-18 DOI Author Url Publisher Url

Olier I, Vellido A. 2008. Variational Bayesian generative topographic mapping Journal of Mathematical Modelling and Algorithms, 7 :371-387 DOI Publisher Url

Olier I, Vellido A. 2008. Advances in clustering and visualization of time series using GTM through time NEURAL NETWORKS, 21 :904-913 DOI Author Url Publisher Url

Aikodon N, Ortega-Martorell S, Olier I. Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning Algorithms, 17 :6-6 DOI Publisher Url Public Url

preprint

Mistry D, Copperwheat CM, Darnley MJ, Olier I. 2023. Machine-learning applications for cataclysmic variable discovery in the ZTF alert stream DOI Author Url Publisher Url Public Url

Lisboa PJG, Ortega-Martorell S, Cashman S, Olier I. The Partial Response Network Author Url

Conference publication

Walters B, Ortega Martorell S, Olier-Caparroso I, Lisboa P. 2022. Towards interpretable machine learning for clinical decision support Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks DOI Publisher Url Public Url

Walters B, Ortega-Martorell S, Olier I, Lisboa PJG. 2021. The partial response SVM ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning DOI Publisher Url Public Url

Olier-Caparroso I, Sansom A, Lisboa P, Ortega-Martorell S. 2021. Using MLP partial responses to explain in-hospital mortality in ICU 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), 2020 International Conference on Data Analytics for Business and Industry DOI Publisher Url Public Url

Lisboa PJG, Ortega-Martorell S, Olier I. 2020. Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer Communications in Computer and Information Science, 1237 CCIS :585-598 DOI Publisher Url

Lisboa PJG, Ortega-Martorell S, Jayabalan M, Olier I. 2020. Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data Koprinska I, Kamp M, Appice A, Loglisci C, Antonie L, Zimmermann A, Guidotti R, Ozgobek O. ECML PKDD 2020 WORKSHOPS, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 1323 :432-446 DOI Author Url Publisher Url

Srivastava M, Olier I, Riley P, Lisboa P, Ortega-Martorell S. 2019. Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer Advances in Intelligent Systems and Computing, 13th International Workshop, WSOM+ 2019 976 :304-313 DOI Publisher Url Public Url

Riley P, Olier I, Rea M, Lisboa P, Ortega-Martorell S. 2019. A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI Advances in Intelligent Systems and Computing, 13th International Workshop, WSOM+ 2019 976 DOI Publisher Url Public Url

Ortega-Martorell S, Olier I, Delgado-Goni T, Ciezka M, Julià-Sapé M, Lisboa P, Arús C. 2015. Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. CIDM 2014: Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on, 2014 IEEE Symposium on Computation Intelligence and Data Mining :93-98 DOI Author Url Publisher Url Public Url

Ortega-Martorell S, Olier I, Julià-Sapé M, Arús C, Lisboa P. 2014. Automatic relevance source determination in human brain tumors using Bayesian NMF. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) :99-104 DOI Author Url Publisher Url Public Url

Tosi A, Olier I, Vellido A. 2014. Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method Villmann T, Schleif FM, Kaden M, Lange M. ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION, 10th International Workshop on Self-Organizing Maps (WSOM) 295 :55-64 DOI Author Url Publisher Url

Cárdenas MI, Vellido A, Olier I, Rovira X, Giraldo J. 2012. Complementing Kernel-based visualization of protein sequences with their phylogenetic tree Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7548 LNBI :136-149 DOI Publisher Url

El-Deredy W, Olier I, Trujillo-Barreto N. 2012. A Bayesian model of EEG/MEG source dynamics and effective connectivity INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 16th World Congress of Psychophysiology of the International Organization of Psychophysiology (IOP) 85 :346-346 DOI Author Url Publisher Url

Vellido A, Cárdenas MI, Olier I, Rovira X, Giraldo J. 2011. A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences ESANN 2011 - 19th European Symposium on Artificial Neural Networks, :233-238

Ortega-Martorell S, Olier I, Vellido A, Julià-Sapé M, Arús C. 2010. Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, :445-450 Publisher Url

Vellido A, Cárdenas MI, Olier I, Rovira X, Giraldo J. 2010. A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences ESANN 2011 proceedings, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, :233-238

Olier I, Amengual J, Vellido A. 2010. Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, :439-444

Olier I, Vellido A, Giraldo J. 2010. Kernel generative topographic mapping Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, :481-486

Olier I, Vellido A. 2008. A Variational Formulation for GTM Through Time 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, International Joint Conference on Neural Networks :516-521 DOI Author Url Publisher Url

Olier I, Vellido A. 2008. On the benefits for model regularization of a Variational formulation of GTM 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, International Joint Conference on Neural Networks :1568-1575 DOI Author Url Publisher Url

Olier I, Vellido A. 2007. Variational GTM Yin H, Tino P, Corchado E, Byrne W, Yao X. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2007, 8th International Conference on Intelligent Data Engineering and Automated Learning 4881 :77-86 DOI Author Url Publisher Url

Olier I, Vellido A. 2006. Time series relevance determination through a topology-constrained hidden Markov model Corchado E, Yin H, Botti V, Fyfe C. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2006, PROCEEDINGS, 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2006) 4224 :40-47 DOI Author Url Publisher Url

Olier I, Vellido A. 2006. Capturing the dynamics of multivariate time series through visualization using generative topographic mapping through time 2006 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING OF INTELLIGENT SYSTEMS, IEEE International Conference on Engineering of Intelligent Systems :493-+ Author Url

Olier I, Vellido A. 2005. Comparative assessment of the robustness of missing data imputation through generative topographic mapping Cabestany J, Prieto A, Sandoval F. COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS, 8th Biennial Meeting of the International Work-Conference on Artificial Neural Networks 3512 :787-794 DOI Author Url Publisher Url

Marnell S, Riley P, Olier I, Rea M, Ortega-Martorell S. A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions Lecture Notes in Computer Science, 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) DOI Author Url Publisher Url Public Url

McCabe P, Ortega Martorell S, Olier-Caparroso I. Benchmarking multi-task learning in predictive models for drug discovery International Joint Conference on Neural Networks (IJCNN) DOI Author Url Publisher Url

Chapters

McCabe PG, Olier I, Ortega-Martorell S, Jarman I, Baltzopoulos V, Lisboa P. 2019. Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis Yin H, Camacho D, Tino P, TallonBallesteros AJ, Menezes R, Allmendinger R. 11872 :114-122 SPRINGER INTERNATIONAL PUBLISHING AG 978-3-030-33616-5 DOI Author Url Publisher Url

Cárdenas MI, Olier I, Vellido A, Rovira X, Giraldo J. 2013. Kernel generative topographic mapping of protein sequences Bioinformatics: Concepts, Methodologies, Tools, and Applications 2 :817-830 9781466636040 DOI Publisher Url

Cárdenas MI, Vellido A, Olier I, Rovira X, Giraldo J. 2012. Kernel generative topographic mapping of protein sequences Medical Applications of Intelligent Data Analysis: Research Advancements :195-208 9781466618039 DOI Publisher Url

Vellido A, Olier I. 2009. Clustering and visualization of multivariate time series Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques :176-194 9781605667669 DOI Publisher Url

Research Grants Awarded:

Concawe Environmental Management Group, Grouping of Hydrocarbon Molecules for PBT/VPVB Assessment of UVCB Substances, Professor Mark Cronin; Dr Ivan Olier-Caparroso; Dr James Firman, Grant value (£): 134,473.20. 2023

EU Horizon Europe, TARGET: Health virtual twins for the personalised management of stroke related to atrial fibrillation, Sandra Ortega-Martorell; Ivan Olier; Gregory Lip, Grant value (£): 10,000,000 EUR, Duration of research project: 5 years. 2023

EU Horizon Europe, ARISTOTELES: Applying ARtificial Intelligence to define clinical trajectorieS for personalized predicTiOn and early deTEction of comorbidity and multimorbidity pattErnS, Dr Ivan Olier; Dr Sandra Ortega-Martorell; Professor Gregory Lip, Grant value (£): 6,000,000, Duration of research project: 5 years. 2023

UKHSA/Tackling Antimicrobial Resistance external commission call, Use of routinely collected electronic health record data to predict anti-microbial resistance in chronic P. aeruginosa lung infection, Prof Gregory Lip (Liverpool); Dr Freddy Frost (Liverpool); Dr Ivan Olier (LJMU); Dr Sandra Ortega-Martorell (LJMU), Grant value (£): £30,450.00, Duration of research project: 1 year. 2023

LHCH-Matched, Machine Learning in post-operative AF, Dr Ivan Olier (LJMU); Dr Sandra Ortega-Martorell (LJMU); Prof Gregory Lip (Liverpool); Prof Ian Jones (LJMU); Bil Kirmani (LHCH), Grant value (£): £65,356.00, Duration of research project: 36 months. 2022

LJMU PhD Scholarship Application 2019, Multi-modal intra-subject identification and segmentation of prostate cancer, Dr Sandra Ortega-Martorell; Dr Ivan Olier, Grant value (£): 62406, Duration of research project: 36 months. 2018

Index on Censorhip, Development of a new index for Index on Censorship, Dr Ivan Olier; Dr Sandra Ortega-Martorell, Grant value (£): £5,000, Duration of research project: 3 months.

LJMU PhD Scholarship Application 2020, Developing artificial intelligence models for predicting the risk of atrial fibrillation in hypertense patients, Dr Sandra Ortega-Martorell, Grant value (£): £62,406, Duration of research project: 36 months.

LJMU PhD Scholarship Application 2020, Early biomarker of therapy response in glioblastoma: decoding the immune system with advanced machine learning, Dr Sandra Ortega-Martorell; Dr Ivan Olier, Grant value (£): £62,406, Duration of research project: 36 months.

LJMU PhD Scholarship Application 2020, Trust in AI for Decision Support in Medicine, Dr Sandra Ortega-Martorell; Dr Ivan Olier; Prof Paulo Lisboa, Grant value (£): £62,406, Duration of research project: 36 months.

LJMU QR Policy Support Fund 2022-23, DECIPHER: Derivation of the Clinical Phenotypes of Atrial Fibrillation using Artificial Intelligence, Dr Sandra Ortega-Martorell; Dr Ivan Olier; Prof Ian Jones; Prof Gregory Lip, Grant value (£): £9,937.20, Duration of research project: 6 months.

LJMU Thematic Doctoral Pathways, Misconceptions in the Treatment of Hypertension (MITH), Dr Ellen Dawson (LJMU); Dr Sandra Ortega-Martorell (LJMU); Dr Ivan Olier (LJMU); Prof Gregory Lip (Liverpool); Prof Ian Jones (LJMU); [...]., Grant value (£): £430,524.00, Duration of research project: 36.

UKRI/STFC Centre for Doctoral Training, Liverpool Centre for Doctoral Training for Innovation in Data Intensive Science, Dr Andreea Font (LJMU); Prof Ian McCarthy (LJMU); Dr Ivan Olier (LJMU); Dr Sandra Ortega-Martorell (LJMU); Prof Carsten Peter Welsch (PI, Liverpool), Grant value (£): £1,300,000.00, Duration of research project: 72 months.

Media Coverage:

TARGET | €10m project on data science-led healthcare led by LJMU 2023
liverpoolhealthpartners.org.uk
www.ljmu.ac.uk

Mapping new global censorship index using machine learning 2023
www.theguardian.com
www.indexoncensorship.org
www.ljmu.ac.uk

Transformational Machine Learning 2021
www.allerin.com
www.analyticsinsight.net
wasp-sweden.org

External committees:

International Advisory Panel, Danish Data Science Academy, International Advisor. 2022

International Advisory Panel, Danish Data Science Academy, International advisor, https://ddsa.dk/. 2022

Editorial boards:

BMC Medical Research Methodology, Academic Editor, https://bmcmedresmethodol.biomedcentral.com/. 2021

Other Professional Activity:

Member of the Liverpool Centre for Cardiovascular Sciences. 2019

Member of the IEEE Medical Data Analysis Task Force of the Computational Intelligence Society. 2014

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