PhD in Computer Science, Department of Computing, Technical University of Catalonia, Spain. 2008.
I. Olier, N. Sadawi, GR. Bickerton, J. Vanschoren, C. Grosan, et al. L. Soldatova, RD. King. (2018). Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. Machine Learning. 107(1), pp.285-311.
M. Rashid, CA. Rushton, CS. Kwok, T. Kinnaird, E. Kontopantelis, et al. I. Olier, P. Ludman, MA. De Belder, J. Nolan, MA. Mamas. (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 Cardiovasc Interv. 10(22), pp.2258-2265.
I. Olier, N. Sadawi, GR. Bickerton, J. Vanschoren, C. Grosan, et al. L. Soldatova, RD. King. (2017). Meta-QSAR: a large-scale application of meta-learning to drug design and discovery.
DA. Springate, R. Parisi, I. Olier, D. Reeves, E. Kontopantelis (2017). rEHR: An R package for manipulating and analysing Electronic Health Record data. PLoS ONE. 12(2),
CS. Kwok, W. Hulme, I. Olier, E. Holroyd, MA. Mamas (2017). Review of early hospitalisation after percutaneous coronary intervention. International Journal of Cardiology. 227, pp.370-377.
M. Rashid, CS. Kwok, CP. Gale, P. Doherty, I. Olier, et al. M. Sperrin, E. Kontopantelis, G. Peat, MA. Mamas. (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(1), pp.20-36.
T. Delgado-Goñi, S. Ortega-Martorell, M. Ciezka, I. Olier, AP. Candiota, et al. M. Julià-Sapé, F. Fernández, M. Pumarola, PJ. Lisboa, C. Arús. (2016). MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis. NMR in Biomedicine. 29(6), pp.732-743.
V. Mocioiu, S. Ortega-Martorell, I. Olier, M. Jablonski, J. Starcukova, et al. P. Lisboa, C. Arús, M. Julià-Sapé. (2015). From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: JMRUI2XML. BMC Bioinformatics. 16(1), pp.378-378.
S. Ortega-Martorell, H. Ruiz, A. Vellido, I. Olier, E. Romero, et al. M. Julià-Sapé, JD. Martín, IH. Jarman, C. Arús, PJG. Lisboa. (2013). A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data. PLoS ONE. 8(12),
I. Olier, NJ. Trujillo-Barreto, W. El-Deredy (2013). A switching multi-scale dynamical network model of EEG/MEG. NeuroImage. 83, pp.262-287.
L. Barreto, D. Canadell, S. Petrezsélyová, C. Navarrete, L. Maresová, et al. J. Peréz-Valle, R. Herrera, I. Olier, J. Giraldo, H. Sychrová, L. Yenush, J. Ramos, J. Ariño. (2011). A genomewide screen for tolerance to cationic drugs reveals genes important for potassium homeostasis in Saccharomyces cerevisiae. Eukaryot Cell. 10(9), pp.1241-1250.
I. Olier, J. Amengual, A. Vellido (2011). A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients. Neurocomputing. 74(9), pp.1301-1314.
JM. García-Gómez, J. Luts, M. Julià-Sapé, P. Krooshof, S. Tortajada, et al. JV. Robledo, W. Melssen, E. Fuster-García, I. Olier, G. Postma, D. Monleón, A. Moreno-Torres, J. Pujol, AP. Candiota, MC. Martínez-Bisbal, J. Suykens, L. Buydens, B. Celda, S. Van Huffel, C. Arús, M. Robles. (2009). Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy. Magnetic Resonance Materials in Physics, Biology and Medicine. 22(1), pp.5-18.
I. Olier, A. Vellido (2008). Variational Bayesian Generative Topographic Mapping. J. Math. Model. Algorithms. 7(4), pp.371-387.
I. Olier, A. Vellido (2008). Advances in clustering and visualization of time series using GTM through time. Neural Networks. 21(7), pp.904-913.
M-I. Cárdenas, A. Vellido, I. Olier, X. Rovira, J. Giraldo (2013). Kernel Generative Topographic Mapping of Protein Sequences. In: Bioinformatics. IGI Global, pp.817-830.
MI. Cardenas, A. Vellido, I. Olier, X. Rovira, J. Giraldo (2012). Kernel Generative Topographic Mapping of Protein Sequences. In: Medical Applications of Intelligent Data Analysis. IGI Global, pp.195-208.
A. Vellido, I. Olier (2010). Clustering and Visualization of Multivariate Time Series. In: Handbook of Research on Machine Learning Applications and Trends. IGI Global, pp.176-194.
I. Olier, C. Grosan, N. Sadawi, LN. Soldatova, RD. King (2015). Meta-QSAR: Learning How to Learn QSARs. In: MetaSel@PKDD/ECML. pp.104-105.
S. Ortega-Martorell, I. Olier, T. Delgado-Goni, M. Ciezka, M. Julià-Sapé, et al. PJG. Lisboa, C. Arús. (2014). Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. In: CIDM. Orlando, FL, 9/12/2014. pp.93-98.
S. Ortega-Martorell, I. Olier, M. Julià-Sapé, C. Arús, PJG. Lisboa (2014). Automatic relevance source determination in human brain tumors using Bayesian NMF. In: CIDM. Orlando, FL, 9/12/2014. pp.99-104.
A. Tosi, I. Olier, A. Vellido (2014). Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method. In: WSOM. Univ Appl Sci Mittweida, Mittweida, GERMANY, 2/7/2014. pp.55-64.
W. El-Deredy, I. Olier, N. Trujillo-Barreto (2012). A Bayesian model of EEG/MEG source dynamics and effective connectivity. In: International Journal of Psychophysiology. Pisa, ITALY, 13/9/2012. pp.346-346.
MI. Cárdenas, A. Vellido, I. Olier, X. Rovira, J. Giraldo (2012). Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp.136-149.
A. Vellido, MI. Cárdenas, I. Olier, X. Rovira, J. Giraldo (2011). A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences. In: ESANN. pp.233-238.
S. Ortega-Martorell, I. Olier, A. Vellido, M. Julià-Sapé, C. Arús (2010). Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis. In: ESANN. pp.445-450.
I. Olier, A. Vellido, J. Giraldo (2010). Kernel generative topographic mapping. In: ESANN. pp.481-486.
I. Olier, J. Amengual, A. Vellido (2010). Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. In: ESANN. pp.439-444.
I. Olier, A. Vellido (2008). A variational formulation for GTM through time. In: IJCNN. Hong Kong, PEOPLES R CHINA, 1/6/2008. pp.516-521.
I. Olier, A. Vellido (2008). On the benefits for model regularization of a variational formulation of GTM. In: IJCNN. Hong Kong, PEOPLES R CHINA, 1/6/2008. pp.1568-1575.
I. Olier, A. Vellido (2007). Variational GTM. In: IDEAL. Birmingham, ENGLAND, 16/12/2007. pp.77-86.
I. Olier, A. Vellido (2006). Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model. In: IDEAL. Univ Burgos, Burgos, SPAIN, 20/9/2006. pp.40-47.
I. Olier, A. Vellido (2006). Capturing the dynamics of multivariate time series through visualization using generative topographic mapping through time. In: 2006 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING OF INTELLIGENT SYSTEMS. Islamabad, PAKISTAN, 22/4/2006. pp.493-+.
I. Olier, A. Vellido (2005). Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping. In: IWANN. Vilanova, SPAIN, 8/6/2005. pp.787-794.