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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions. - Sabrina Marnell; Patrick Riley 002; Iván Olier; Marc Rea; Sandra Ortega-Martorell (IDEAL (2), 2019)

Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis. - Philippa Grace McCabe; Iván Olier; Sandra Ortega-Martorell; Ian H. Jarman; Vasilios Baltzopoulos; Paulo Lisboa (IDEAL (2), 2019)

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

A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. - Patrick Riley 002; Iván Olier; Marc Rea; Paulo Lisboa; Sandra Ortega-Martorell (WSOM+, 2019)

Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer. - Meenal Srivastava; Iván Olier; Patrick Riley 002; Paulo Lisboa; Sandra Ortega-Martorell (WSOM+, 2019)

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

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

Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. - Paulo J. G. Lisboa; Sandra Ortega-Martorell; Iván Olier (IPMU (1), 2020)

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

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

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

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

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

Artificial intelligence and digital twins for the personalised prediction of hypertension risk. - Akhil Naik; Jakub Nalepa; Agata M. Wijata; Joseph Mahon; Dharmesh Mistry; Adam T. Knowles; Ellen A. Dawson; Gregory Yoke Hong Lip; Iván Olier; Sandra Ortega-Martorell (Comput. Biol. Medicine, 2025)

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