Iván Olier - RankMe

41 papers B 9C 4Misc 1Journal 18Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial intelligence and digital twins for the personalised prediction of hypertension risk. Comput. Biol. Medicine 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
2025	J	`jnl`	Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies. CoRR Julieth Katherine Riveros, Paola Saavedra, Héctor J. Hortúa, Jorge Enrique García-Farieta, Iván Olier
2025	J	`jnl`	Graph neural networks for the enhanced prediction of new atrial fibrillation episodes after stroke. Comput. Biol. Medicine Cristian Y. Rivera-Juzga, Dharmesh Mistry, Adam T. Knowles, Gregory Yoke Hong Lip, Sandra Ortega-Martorell, Iván Olier
2025	J	`jnl`	The integrated multiple event representation framework (IMERF): a case study on critically-ill patients. Comput. Biol. Medicine Iván Olier, Sandra Ortega-Martorell, George Margereson, Ryan A. Bellfield, Ingeborg D. Welters, Gregory Yoke Hong Lip
2024	J	`jnl`	Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning. Algorithms Nosa Aikodon, Sandra Ortega-Martorell, Iván Olier
2023	J	`jnl`	How to Open a Black Box Classifier for Tabular Data. Algorithms Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa
2022	B	`conf`	Towards interpretable machine learning for clinical decision support. IJCNN Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa
2021	B	`conf`	The partial response SVM. ESANN Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo Lisboa
2020	—	`conf`	Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data. PKDD/ECML Workshops Paulo J. G. Lisboa, Sandra Ortega-Martorell, Manoj Jayabalan, Iván Olier
2020	—	`conf`	Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. IPMU (1) Paulo J. G. Lisboa, Sandra Ortega-Martorell, Iván Olier
2019	—	`conf`	A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions. IDEAL (2) Sabrina Marnell, Patrick Riley, Iván Olier, Marc Rea, Sandra Ortega-Martorell
2019	—	`conf`	A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. WSOM+ Patrick Riley, Iván Olier, Marc Rea, Paulo Lisboa, Sandra Ortega-Martorell
2019	B	`conf`	Benchmarking multi-task learning in predictive models for drug discovery. IJCNN Philippa Grace McCabe, Sandra Ortega-Martorell, Iván Olier
2019	—	`conf`	Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer. WSOM+ Meenal Srivastava, Iván Olier, Patrick Riley, Paulo Lisboa, Sandra Ortega-Martorell
2019	—	`conf`	Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis. IDEAL (2) Philippa Grace McCabe, Iván Olier, Sandra Ortega-Martorell, Ian H. Jarman, Vasilios Baltzopoulos, Paulo Lisboa
2019	J	`jnl`	Multi-task learning with a natural metric for quantitative structure activity relationship learning. J. Cheminformatics Noureddin Sadawi, Iván Olier, Joaquin Vanschoren, Jan N. van Rijn, Jeremy Besnard, G. Richard J. Bickerton, Crina Grosan, Larisa N. Soldatova, Ross D. King
2019	J	`jnl`	The Partial Response Network. CoRR Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Iván Olier
2018	J	`jnl`	Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. Mach. Learn. Iván Olier, Noureddin Sadawi, G. Richard J. Bickerton, Joaquin Vanschoren, Crina Grosan, Larisa N. Soldatova, Ross D. King
2018	J	`jnl`	Transformative Machine Learning. CoRR Iván Olier, Oghenejokpeme I. Orhobor, Joaquin Vanschoren, Ross D. King
2017	J	`jnl`	Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. CoRR Iván Olier, Noureddin Sadawi, G. Richard J. Bickerton, Joaquin Vanschoren, Crina Grosan, Larisa N. Soldatova, Ross D. King
2015	J	`jnl`	From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML. BMC Bioinform. Victor Mocioiu, Sandra Ortega-Martorell, Iván Olier, Michal Jablonski, Jana Starcuková, Paulo Lisboa, Carles Arús, Margarida Julià-Sapé
2015	—	`conf`	Meta-QSAR: Learning How to Learn QSARs. MetaSel@PKDD/ECML Iván Olier, Crina Grosan, Noureddin Sadawi, Larisa N. Soldatova, Ross D. King
2014	C	`conf`	Automatic relevance source determination in human brain tumors using Bayesian NMF. CIDM Sandra Ortega-Martorell, Iván Olier, Margarida Julià-Sapé, Carles Arús, Paulo J. G. Lisboa
2014	—	`conf`	Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method. WSOM Alessandra Tosi, Iván Olier, Alfredo Vellido
2014	C	`conf`	Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. CIDM Sandra Ortega-Martorell, Iván Olier, Teresa Delgado-Goni, Magdalena Ciezka, Margarida Julià-Sapé, Paulo J. G. Lisboa, Carles Arús
2013	J	`jnl`	A switching multi-scale dynamical network model of EEG/MEG. NeuroImage Iván Olier, Nelson J. Trujillo-Barreto, Wael El-Deredy
2011	B	`conf`	A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences. ESANN Alfredo Vellido, Martha Ivón Cárdenas, Iván Olier, Xavier Rovira, Jesús Giraldo
2011	J	`jnl`	A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients. Neurocomputing Iván Olier, Julià Amengual, Alfredo Vellido
2011	—	`conf`	Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree. CIBB Martha Ivón Cárdenas, Alfredo Vellido, Iván Olier, Xavier Rovira, Jesús Giraldo
2010	B	`conf`	Kernel generative topographic mapping. ESANN Iván Olier, Alfredo Vellido, Jesús Giraldo
2010	B	`conf`	Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. ESANN Iván Olier, Julià Amengual, Alfredo Vellido
2010	J	`jnl`	SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system. BMC Bioinform. Sandra Ortega-Martorell, Iván Olier, Margarida Julià-Sapé, Carles Arús
2010	B	`conf`	Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis. ESANN Sandra Ortega-Martorell, Iván Olier, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
2010	J	`jnl`	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. Alexander Pérez-Ruiz, Margarida Julià-Sapé, Guillem Mercadal, Iván Olier, Carles Majós, Carles Arús
2008	B	`conf`	A variational formulation for GTM through time. IJCNN Iván Olier, Alfredo Vellido
2008	J	`jnl`	Advances in clustering and visualization of time series using GTM through time. Neural Networks Iván Olier, Alfredo Vellido
2008	B	`conf`	On the benefits for model regularization of a variational formulation of GTM. IJCNN Iván Olier, Alfredo Vellido
2008	J	`jnl`	Variational Bayesian Generative Topographic Mapping. J. Math. Model. Algorithms Iván Olier, Alfredo Vellido
2007	C	`conf`	Variational GTM. IDEAL Iván Olier, Alfredo Vellido
2006	C	`conf`	Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model. IDEAL Iván Olier, Alfredo Vellido
2005	Misc	`conf`	Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping. IWANN Iván Olier, Alfredo Vellido