Enrique Romero

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 16

Top Topics

Extreme Learning Machine

Contrastive Divergence

Top Venues

Artif. Intell. Medicine

Publications

Anass Benali, Laura Carrera, Ann Christin, Ruben Martín, Anibal Alé, Marina Barraso, Carolina Bernal, Sara Marín, Silvia Feu, Josep Rosinés, Teresa Hernandez, Irene Vilá, Cristian Oliva, Irene Vinagre, Emilio Ortega, Marga Gimenez, Enric Esmatjes, Javier Zarranz-Ventura, Enrique Romero, Alfredo Vellido
NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy. IWBBIO (1) (2022)
David Calhas, Enrique Romero, Rui Henriques
On the use of pairwise distance learning for brain signal classification with limited observations. Artif. Intell. Medicine 105 (2020)
Ferran Mazzanti, Enrique Romero
Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling. CoRR (2020)
Luis Miguel Núñez, Margarida Julià-Sapé, Enrique Romero, Carles Arús, Alfredo Vellido, Ana-Paula Candiota
Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis. IJCNN (2020)
Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero
On-The-Fly Syntheziser Programming with Fuzzy Rule Learning. Entropy 22 (9) (2020)
Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica
Charting Perceptual Spaces with Fuzzy Rules. FUZZ-IEEE (2019)
Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca Prats
Weighted contrastive divergence. Neural Networks 114 (2019)
David Calhas, Enrique Romero, Rui Henriques
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations. CoRR (2019)
Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero
Modeling perceptual categories of parametric musical systems. Pattern Recognit. Lett. 105 (2018)
Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero
Classifying and Generalizing Successful Parameter Combinations for Sound Design. CCIA (2018)
Luz Rello, Enrique Romero, Maria Rauschenberger, Abdullah X. Ali, Kristin Williams, Jeffrey P. Bigham, Nancy Cushen White
Screening Dyslexia for English Using HCI Measures and Machine Learning. DH (2018)
Enrique Romero
Benchmarking the selection of the hidden-layer weights in extreme learning machines. IJCNN (2017)
Luz Rello, Arturo Macias, Mariía Herrera, Camila de Ros, Enrique Romero, Jeffrey P. Bigham
DytectiveU: A Game to Train the Difficulties and the Strengths of Children with Dyslexia. ASSETS (2017)
Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica, Alfredo Vellido
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration. CEC (2016)
Vicent J. Ribas Ripoll, Anna Wojdel, Enrique Romero, Pablo Ramos, Josep Brugada
ECG assessment based on neural networks with pretraining. Appl. Soft Comput. 49 (2016)
Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica
A Rule-Extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems. CCIA (2016)
Francisco Mugica, Iván Paz Ortiz, Àngela Nebot, Enrique Romero
A Fuzzy Inductive approach for rule-based modelling of high level structures in algorithmic composition systems. FUZZ-IEEE (2015)
Vicent J. Ribas Ripoll, Alfredo Vellido, Enrique Romero, Juan Carlos Ruiz-Rodríguez
Sepsis mortality prediction with the Quotient Basis Kernel. Artif. Intell. Medicine 61 (1) (2014)
David Buchaca Prats, Enrique Romero, Ferran Mazzanti, Jordi Delgado
Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error. ICLR (Workshop Poster) (2014)
Vicent J. Ribas Ripoll, Anna Wojdel, Pablo Ramos, Enrique Romero, Josep Brugada
Assessment of Electrocardiograms with Pretraining and Shallow Networks. CinC (2014)
Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero
Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns. CCIA (2014)
Carlos Arizmendi, Daniel A. Sierra, Alfredo Vellido, Enrique Romero
Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks. Expert Syst. Appl. 41 (11) (2014)
Alberto Barrón-Cedeño, Lluís Màrquez, Carlos A. Henríquez Q., Lluís Formiga, Enrique Romero, Jonathan May
Identifying Useful Human Correction Feedback from an On-Line Machine Translation Service. IJCAI (2013)
Vicent J. Ribas Ripoll, Enrique Romero, Juan Carlos Ruiz-Rodríguez, Alfredo Vellido
A quotient basis kernel for the prediction of mortality in severe sepsis patients. ESANN (2013)
Julio J. Valdés, Enrique Romero, Alan J. Barton
Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data. Expert Syst. Appl. 39 (18) (2012)
Carlos Arizmendi, Alfredo Vellido, Enrique Romero
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks. Expert Syst. Appl. 39 (5) (2012)
Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa
Towards interpretable classifiers with blind signal separation. IJCNN (2012)
Enrique Romero, René Alquézar
Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks. Neural Networks 25 (2012)
Enrique Romero, Tingting Mu, Paulo J. G. Lisboa
Cohort-based kernel visualisation with scatter matrices. Pattern Recognit. 45 (4) (2012)
Carlos Arizmendi, Daniel A. Sierra, Alfredo Vellido, Enrique Romero
Brain tumour classification using Gaussian decomposition and neural networks. EMBC (2011)
Enrique Romero
Using the Leader Algorithm with Support Vector Machines for Large Data Sets. ICANN (1) (2011)
Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa
Cohort-based kernel visualisation with scatter matrices. IJCNN (2010)
Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors. Neurocomputing 73 (4-6) (2010)
Enrique Romero, Alfredo Vellido, Josep M. Sopena
Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database. IWANN (1) (2009)
Alfredo Vellido, Enrique Romero, Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Margarida Julià-Sapé, Carles Arús
H-MRS brain tumour database. Neurocomputing 72 (13-15) (2009)
Carlos Arizmendi, Alfredo Vellido, Enrique Romero
Frequency Selection for the Diagnostic Characterization of Human Brain Tumours. CCIA (2009)
Ignacio Barrio, Enrique Romero, Lluís Belanche
An experimental study on methods for the selection of basis functions in regression. Neurocomputing 72 (13-15) (2009)
Enrique Romero, Josep M. Sopena
Performing Feature Selection With Multilayer Perceptrons. IEEE Trans. Neural Networks 19 (3) (2008)
Alfredo Vellido, Margarida Julià-Sapé, Enrique Romero, Carles Arús
Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset. KES (2) (2008)
Enrique Romero, Margarida Julià-Sapé, Alfredo Vellido
DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization. ESANN (2008)
Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. ICMLA (2008)
Julio J. Valdés, Enrique Romero, Ruben Gonzalez
Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. IJCNN (2007)
Enrique Romero, Daniel Toppo
Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights. IEEE Trans. Neural Networks 18 (3) (2007)
Enrique Romero, Ignacio Barrio, Lluís Belanche
Incremental and Decremental Learning for Linear Support Vector Machines. ICANN (1) (2007)
Ignacio Barrio, Enrique Romero, Lluís Belanche
Selection of Basis Functions Guided by the L2 Soft Margin. ICANN (1) (2007)
Ignacio Barrio, Enrique Romero, Lluís Belanche
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors. ICANN (1) (2007)
Ignacio Barrio, Enrique Romero, Lluís Belanche
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. IJCNN (2007)
Enrique Romero, Julio J. Valdés, Alan J. Barton
Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective. IWANN (2007)
Enrique Romero, René Alquézar
Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study. Neurocomputing 70 (16-18) (2007)
Beatriz F. Giraldo, Carlos Arizmendi, Enrique Romero, René Alquézar, Pere Caminal, Salvador Benito, D. Ballesteros
Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection. EMBC (2006)
Enrique Romero, René Alquézar
A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies. Neurocomputing 69 (13-15) (2006)
Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz
On the selection of hidden neurons with heuristic search strategies for approximation. ESANN (2006)
Enrique Romero, Daniel Toppo
Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters. IDEAL (2006)
Agusti Solanas, Enrique Romero, Sergio Gómez, Josep M. Sopena, René Alquézar, Josep Domingo-Ferrer
Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks. CCIA (2005)
Enrique Romero
Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study. IWANN (2005)
Enrique Romero, Lluís Màrquez, Xavier Carreras
Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost. Neurocomputing 57 (2004)