Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies. - Riveros, Julieth Katherine; Saavedra, Paola; Hortúa, Héctor J.; García-Farieta, Jorge Enrique; Olier, Iván (CoRR, 2025)

Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning. - Aikodon, Nosa; Ortega-Martorell, Sandra; Olier, Iván (Algorithms, 2024)

How to Open a Black Box Classifier for Tabular Data. - Walters, Bradley; Ortega-Martorell, Sandra; Olier, Iván; Lisboa, Paulo J. G. (Algorithms, 2023)

Towards interpretable machine learning for clinical decision support. - Walters, Bradley; Ortega-Martorell, Sandra; Olier, Iván; Lisboa, Paulo J. G. (2022)

The partial response SVM. - Walters, Bradley; Ortega-Martorell, Sandra; Olier, Iván; Lisboa, Paulo (2021)

Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. - Lisboa, Paulo J. G.; Ortega-Martorell, Sandra; Olier, Iván (2020)

Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data. - Lisboa, Paulo J. G.; Ortega-Martorell, Sandra; Jayabalan, Manoj; Olier, Iván (2020)

Multi-task learning with a natural metric for quantitative structure activity relationship learning. - Sadawi, Noureddin; Olier, Iván; Vanschoren, Joaquin; Rijn, Jan N. van; Besnard, Jeremy; Bickerton, G. Richard J.; Grosan, Crina; Soldatova, Larisa N.; King, Ross D. (J. Cheminformatics, 2019)

Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis. - McCabe, Philippa Grace; Olier, Iván; Ortega-Martorell, Sandra; Jarman, Ian H.; Baltzopoulos, Vasilios; Lisboa, Paulo (2019)

A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions. - Marnell, Sabrina; Riley, Patrick; Olier, Iván; Rea, Marc; Ortega-Martorell, Sandra (2019)

Benchmarking multi-task learning in predictive models for drug discovery. - McCabe, Philippa Grace; Ortega-Martorell, Sandra; Olier, Iván (2019)

A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. - Riley, Patrick; Olier, Iván; Rea, Marc; Lisboa, Paulo; Ortega-Martorell, Sandra (2019)

Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer. - Srivastava, Meenal; Olier, Iván; Riley, Patrick; Lisboa, Paulo; Ortega-Martorell, Sandra (2019)

The Partial Response Network. - Lisboa, Paulo J. G.; Ortega-Martorell, Sandra; Cashman, Sadie; Olier, Iván (CoRR, 2019)

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. - Olier, Iván; Sadawi, Noureddin; Bickerton, G. Richard J.; Vanschoren, Joaquin; Grosan, Crina; Soldatova, Larisa N.; King, Ross D. (Mach. Learn., 2018)

Transformative Machine Learning. - Olier, Iván; Orhobor, Oghenejokpeme I.; Vanschoren, Joaquin; King, Ross D. (CoRR, 2018)

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. - Olier, Iván; Sadawi, Noureddin; Bickerton, G. Richard J.; Vanschoren, Joaquin; Grosan, Crina; Soldatova, Larisa N.; King, Ross D. (CoRR, 2017)

From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML. - Mocioiu, Victor; Ortega-Martorell, Sandra; Olier, Iván; Jablonski, Michal; Starcuková, Jana; Lisboa, Paulo; Arús, Carles; Julià-Sapé, Margarida (BMC Bioinform., 2015)

Meta-QSAR: Learning How to Learn QSARs. - Olier, Iván; Grosan, Crina; Sadawi, Noureddin; Soldatova, Larisa N.; King, Ross D. (2015)

Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. - Ortega-Martorell, Sandra; Olier, Iván; Delgado-Goni, Teresa; Ciezka, Magdalena; Julià-Sapé, Margarida; Lisboa, Paulo J. G.; Arús, Carles (2014)

Automatic relevance source determination in human brain tumors using Bayesian NMF. - Ortega-Martorell, Sandra; Olier, Iván; Julià-Sapé, Margarida; Arús, Carles; Lisboa, Paulo J. G. (2014)

Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method. - Tosi, Alessandra; Olier, Iván; Vellido, Alfredo (2014)

A switching multi-scale dynamical network model of EEG/MEG. - Olier, Iván; Trujillo-Barreto, Nelson J.; El-Deredy, Wael (NeuroImage, 2013)

A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients. - Olier, Iván; Amengual, Julià; Vellido, Alfredo (Neurocomputing, 2011)

Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree. - Cárdenas, Martha Ivón; Vellido, Alfredo; Olier, Iván; Rovira, Xavier; Giraldo, Jesús (2011)

A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences. - Vellido, Alfredo; Cárdenas, Martha Ivón; Olier, Iván; Rovira, Xavier; Giraldo, Jesús (2011)

SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system. - Ortega-Martorell, Sandra; Olier, Iván; Julià-Sapé, Margarida; Arús, Carles (BMC Bioinform., 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. - Pérez-Ruiz, Alexander; Julià-Sapé, Margarida; Mercadal, Guillem; Olier, Iván; Majós, Carles; Arús, Carles (BMC Bioinform., 2010)

Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. - Olier, Iván; Amengual, Julià; Vellido, Alfredo (2010)

Kernel generative topographic mapping. - Olier, Iván; Vellido, Alfredo; Giraldo, Jesús (2010)

Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis. - Ortega-Martorell, Sandra; Olier, Iván; Vellido, Alfredo; Julià-Sapé, Margarida; Arús, Carles (2010)

Variational Bayesian Generative Topographic Mapping. - Olier, Iván; Vellido, Alfredo (J. Math. Model. Algorithms, 2008)

Advances in clustering and visualization of time series using GTM through time. - Olier, Iván; Vellido, Alfredo (Neural Networks, 2008)

A variational formulation for GTM through time. - Olier, Iván; Vellido, Alfredo (2008)

On the benefits for model regularization of a variational formulation of GTM. - Olier, Iván; Vellido, Alfredo (2008)

Variational GTM. - Olier, Iván; Vellido, Alfredo (2007)

Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model. - Olier, Iván; Vellido, Alfredo (2006)

Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping. - Olier, Iván; Vellido, Alfredo (2005)