Iván Olier

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 18

Top Topics

Machine Learning

Prostate Cancer

Magnetic Resonance Spectroscopy

Top Venues

Publications

Nosa Aikodon, Sandra Ortega-Martorell, Iván Olier
Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning. Algorithms 17 (1) (2024)
Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa
How to Open a Black Box Classifier for Tabular Data. Algorithms 16 (4) (2023)
Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa
Towards interpretable machine learning for clinical decision support. IJCNN (2022)
Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo Lisboa
The partial response SVM. ESANN (2021)
Paulo J. G. Lisboa, Sandra Ortega-Martorell, Iván Olier
Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. IPMU (1) (2020)
Paulo J. G. Lisboa, Sandra Ortega-Martorell, M. Jayabalan, Iván Olier
Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data. PKDD/ECML Workshops (2020)
Philippa Grace McCabe, Iván Olier, Sandra Ortega-Martorell, Ian H. Jarman, Vasilios Baltzopoulos, Paulo Lisboa
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis. IDEAL (2) (2019)
Meenal Srivastava, Iván Olier, Patrick Riley, Paulo Lisboa, Sandra Ortega-Martorell
Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer. WSOM+ (2019)
Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Iván Olier
The Partial Response Network. CoRR (2019)
Noureddin Sadawi, Iván Olier, Joaquin Vanschoren, Jan N. van Rijn, Jeremy Besnard, G. Richard J. Bickerton, Crina Grosan, Larisa N. Soldatova, Ross D. King
Multi-task learning with a natural metric for quantitative structure activity relationship learning. J. Cheminformatics 11 (1) (2019)
Philippa Grace McCabe, Sandra Ortega-Martorell, Iván Olier
Benchmarking multi-task learning in predictive models for drug discovery. IJCNN (2019)
Sabrina Marnell, Patrick Riley, Iván Olier, Marc Rea, Sandra Ortega-Martorell
A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions. IDEAL (2) (2019)
Patrick Riley, Iván Olier, Marc Rea, Paulo Lisboa, Sandra Ortega-Martorell
A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. WSOM+ (2019)
Iván Olier, Noureddin Sadawi, G. Richard J. Bickerton, Joaquin Vanschoren, Crina Grosan, Larisa N. Soldatova, Ross D. King
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. Mach. Learn. 107 (1) (2018)
Iván Olier, Oghenejokpeme I. Orhobor, Joaquin Vanschoren, Ross D. King
Transformative Machine Learning. CoRR (2018)
Iván Olier, Noureddin Sadawi, G. Richard J. Bickerton, Joaquin Vanschoren, Crina Grosan, Larisa N. Soldatova, Ross D. King
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. CoRR (2017)
Iván Olier, Crina Grosan, Noureddin Sadawi, Larisa N. Soldatova, Ross D. King
Meta-QSAR: Learning How to Learn QSARs. MetaSel@PKDD/ECML (2015)
Victor Mocioiu, Sandra Ortega-Martorell, Iván Olier, Michal Jablonski, Jana Starcuková, Paulo Lisboa, Carles Arús, Margarida Julià-Sapé
From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML. BMC Bioinform. 16 (2015)
Alessandra Tosi, Iván Olier, Alfredo Vellido
Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method. WSOM (2014)
Sandra Ortega-Martorell, Iván Olier, Teresa Delgado-Goni, Magdalena Ciezka, Margarida Julià-Sapé, Paulo J. G. Lisboa, Carles Arús
Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. CIDM (2014)
Sandra Ortega-Martorell, Iván Olier, Margarida Julià-Sapé, Carles Arús, Paulo J. G. Lisboa
Automatic relevance source determination in human brain tumors using Bayesian NMF. CIDM (2014)
Iván Olier, Nelson J. Trujillo-Barreto, Wael El-Deredy
A switching multi-scale dynamical network model of EEG/MEG. NeuroImage 83 (2013)
Alfredo Vellido, Martha Ivón Cárdenas, Iván Olier, Xavier Rovira, Jesús Giraldo
A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences. ESANN (2011)
Iván Olier, Julià Amengual, Alfredo Vellido
A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients. Neurocomputing 74 (9) (2011)
Martha Ivón Cárdenas, Alfredo Vellido, Iván Olier, Xavier Rovira, Jesús Giraldo
Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree. CIBB (2011)
Sandra Ortega-Martorell, Iván Olier, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis. ESANN (2010)
Iván Olier, Julià Amengual, Alfredo Vellido
Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. ESANN (2010)
Alexander Pérez-Ruiz, Margarida Julià-Sapé, Guillem Mercadal, Iván Olier, Carles Majós, Carles Arús
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 Bioinform. 11 (2010)
Sandra Ortega-Martorell, Iván Olier, Margarida Julià-Sapé, Carles Arús
SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system. BMC Bioinform. 11 (2010)
Iván Olier, Alfredo Vellido, Jesús Giraldo
Kernel generative topographic mapping. ESANN (2010)
Iván Olier, Alfredo Vellido
Advances in clustering and visualization of time series using GTM through time. Neural Networks 21 (7) (2008)
Iván Olier, Alfredo Vellido
A variational formulation for GTM through time. IJCNN (2008)
Iván Olier, Alfredo Vellido
On the benefits for model regularization of a variational formulation of GTM. IJCNN (2008)
Iván Olier, Alfredo Vellido
Variational Bayesian Generative Topographic Mapping. J. Math. Model. Algorithms 7 (4) (2008)
Iván Olier, Alfredo Vellido
Variational GTM. IDEAL (2007)
Iván Olier, Alfredo Vellido
Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model. IDEAL (2006)
Iván Olier, Alfredo Vellido
Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping. IWANN (2005)