Enrique Romero

66 papers A* 1A 1B 16C 2Misc 2Journal 26Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Frequency selection for the diagnostic characterization of human brain tumours. CoRR Carlos Arizmendi, Alfredo Vellido, Enrique Romero
2025	B	`conf`	Improving Diabetic Retinopathy Classification Using Class Imbalance Correction Techniques. CBMS Caroline König, Pedro Copado, Enrique Romero, Javier Zarranz-Ventura, Alfredo Vellido
2025	J	`jnl`	Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomics Features from Multimodal Retinal Images. CoRR Ariadna Tohà-Dalmau, Josep Rosinés-Fonoll, Enrique Romero, Ferran Mazzanti, Ruben Martin-Pinardel, Sonia Marias-Perez, Carolina Bernal-Morales, Rafael Castro-Dominguez, Andrea Mendez, Emilio Ortega, Irene Vinagre, Marga Giménez, Alfredo Vellido, Javier Zarranz-Ventura
2025	J	`jnl`	Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines. Entropy Arnau Prat Pou, Enrique Romero, Jordi Martí, Ferran Mazzanti
2024	J	`jnl`	Learning restricted Boltzmann machines with pattern induced weights. Neurocomputing Jon Garí, Enrique Romero, Ferran Mazzanti
2024	J	`jnl`	Mean field initialization of the Annealed Importance Sampling algorithm for an efficient evaluation of the Partition Function of Restricted Boltzmann Machines. CoRR Arnau Prat Pou, Enrique Romero, Jordi Martí, Ferran Mazzanti
2022	—	`conf`	NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy. IWBBIO (1) Anass Benali, Laura Carrera, Ann Christin, Ruben Martín, Anibal Alé, Marina Barraso, Carolina Bernal, Sara Marín, Silvia Feu, Josep Rosinés, Teresa Hernandez, Irene Vilà, Cristian Oliva, Irene Vinagre, Emilio Ortega, Marga Giménez, Enric Esmatjes, Javier Zarranz-Ventura, Enrique Romero, Alfredo Vellido
2020	J	`jnl`	Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling. CoRR Ferran Mazzanti, Enrique Romero
2020	B	`conf`	Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis. IJCNN Luis Miguel Núñez, Margarida Julià-Sapé, Enrique Romero, Carles Arús, Alfredo Vellido, Ana-Paula Candiota
2020	J	`jnl`	On the use of pairwise distance learning for brain signal classification with limited observations. Artif. Intell. Medicine David Calhas, Enrique Romero, Rui Henriques
2020	J	`jnl`	On-The-Fly Syntheziser Programming with Fuzzy Rule Learning. Entropy Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero
2019	B	`conf`	Charting Perceptual Spaces with Fuzzy Rules. FUZZ-IEEE Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica
2019	J	`jnl`	On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations. CoRR David Calhas, Enrique Romero, Rui Henriques
2019	J	`jnl`	Weighted contrastive divergence. Neural Networks Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca Prats
2018	—	`conf`	Classifying and Generalizing Successful Parameter Combinations for Sound Design. CCIA Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero
2018	J	`jnl`	Modeling perceptual categories of parametric musical systems. Pattern Recognit. Lett. Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero
2018	—	`conf`	Screening Dyslexia for English Using HCI Measures and Machine Learning. DH Luz Rello, Enrique Romero, Maria Rauschenberger, Abdullah X. Ali, Kristin Williams, Jeffrey P. Bigham, Nancy Cushen White
2017	B	`conf`	Benchmarking the selection of the hidden-layer weights in extreme learning machines. IJCNN Enrique Romero
2017	A	`conf`	DytectiveU: A Game to Train the Difficulties and the Strengths of Children with Dyslexia. ASSETS Luz Rello, Arturo Macias, Mariía Herrera, Camila de Ros, Enrique Romero, Jeffrey P. Bigham
2016	—	`conf`	A Rule-Extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems. CCIA Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica
2016	B	`conf`	A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration. CEC Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica, Alfredo Vellido
2016	J	`jnl`	ECG assessment based on neural networks with pretraining. Appl. Soft Comput. Vicent J. Ribas Ripoll, Anna Wojdel, Enrique Romero, Pablo Ramos, Josep Brugada
2015	B	`conf`	A Fuzzy Inductive approach for rule-based modelling of high level structures in algorithmic composition systems. FUZZ-IEEE Francisco Mugica, Iván Paz Ortiz, Àngela Nebot, Enrique Romero
2014	—	`conf`	Assessment of Electrocardiograms with Pretraining and Shallow Networks. CinC Vicent J. Ribas Ripoll, Anna Wojdel, Pablo Ramos, Enrique Romero, Josep Brugada
2014	J	`jnl`	Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks. Expert Syst. Appl. Carlos Arizmendi, Daniel A. Sierra, Alfredo Vellido, Enrique Romero
2014	J	`jnl`	Sepsis mortality prediction with the Quotient Basis Kernel. Artif. Intell. Medicine Vicent J. Ribas Ripoll, Alfredo Vellido, Enrique Romero, Juan Carlos Ruiz-Rodríguez
2014	—	`conf`	Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error. ICLR (Workshop Poster) David Buchaca Prats, Enrique Romero, Ferran Mazzanti, Jordi Delgado
2014	—	`conf`	Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns. CCIA Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero
2013	B	`conf`	A quotient basis kernel for the prediction of mortality in severe sepsis patients. ESANN Vicent J. Ribas Ripoll, Enrique Romero, Juan Carlos Ruiz-Rodríguez, Alfredo Vellido
2013	A*	`conf`	Identifying Useful Human Correction Feedback from an On-Line Machine Translation Service. IJCAI Alberto Barrón-Cedeño, Lluís Màrquez, Carlos A. Henríquez Q., Lluís Formiga, Enrique Romero, Jonathan May
2012	J	`jnl`	Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks. Expert Syst. Appl. Carlos Arizmendi, Alfredo Vellido, Enrique Romero
2012	J	`jnl`	Cohort-based kernel visualisation with scatter matrices. Pattern Recognit. Enrique Romero, Tingting Mu, Paulo J. G. Lisboa
2012	J	`jnl`	Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks. Neural Networks Enrique Romero, René Alquézar
2012	J	`jnl`	Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data. Expert Syst. Appl. Julio J. Valdés, Enrique Romero, Alan J. Barton
2012	B	`conf`	Towards interpretable classifiers with blind signal separation. IJCNN Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa
2011	—	`conf`	Brain tumour classification using Gaussian decomposition and neural networks. EMBC Carlos Arizmendi, Daniel A. Sierra, Alfredo Vellido, Enrique Romero
2011	—	`conf`	Using the Leader Algorithm with Support Vector Machines for Large Data Sets. ICANN (1) Enrique Romero
2010	B	`conf`	Cohort-based kernel visualisation with scatter matrices. IJCNN Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa
2010	J	`jnl`	Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors. Neurocomputing Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
2009	J	`jnl`	An experimental study on methods for the selection of basis functions in regression. Neurocomputing Ignacio Barrio, Enrique Romero, Lluís Belanche
2009	—	`conf`	Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database. IWANN (1) Enrique Romero, Alfredo Vellido, Josep M. Sopena
2009	—	`conf`	Frequency Selection for the Diagnostic Characterization of Human Brain Tumours. CCIA Carlos Arizmendi, Alfredo Vellido, Enrique Romero
2009	—	`ch.`	Neural Network-Based Visual Data Mining for Cancer Data. Encyclopedia of Artificial Intelligence Enrique Romero, Julio J. Valdés, Alan J. Barton
2009	J	`jnl`	Outlier exploration and diagnostic classification of a multi-centre Neurocomputing Alfredo Vellido, Enrique Romero, Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Margarida Julià-Sapé, Carles Arús
2008	C	`conf`	Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. ICMLA Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús
2008	B	`conf`	DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization. ESANN Enrique Romero, Margarida Julià-Sapé, Alfredo Vellido
2008	—	`conf`	Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset. KES (2) Alfredo Vellido, Margarida Julià-Sapé, Enrique Romero, Carles Arús
2008	J	`jnl`	Performing Feature Selection With Multilayer Perceptrons. IEEE Trans. Neural Networks Enrique Romero, Josep M. Sopena
2007	J	`jnl`	Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights. IEEE Trans. Neural Networks Enrique Romero, Daniel Toppo
2007	B	`conf`	Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. IJCNN Julio J. Valdés, Enrique Romero, Ruben Gonzalez
2007	—	`conf`	Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors. ICANN (1) Ignacio Barrio, Enrique Romero, Lluís Belanche
2007	J	`jnl`	Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study. Neurocomputing Enrique Romero, René Alquézar
2007	—	`conf`	Incremental and Decremental Learning for Linear Support Vector Machines. ICANN (1) Enrique Romero, Ignacio Barrio, Lluís Belanche
2007	Misc	`conf`	Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective. IWANN Enrique Romero, Julio J. Valdés, Alan J. Barton
2007	B	`conf`	Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. IJCNN Ignacio Barrio, Enrique Romero, Lluís Belanche
2007	—	`conf`	Selection of Basis Functions Guided by the L2 Soft Margin. ICANN (1) Ignacio Barrio, Enrique Romero, Lluís Belanche
2006	J	`jnl`	A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies. Neurocomputing Enrique Romero, René Alquézar
2006	C	`conf`	Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters. IDEAL Enrique Romero, Daniel Toppo
2006	B	`conf`	On the selection of hidden neurons with heuristic search strategies for approximation. ESANN Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz
2006	—	`conf`	Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection. EMBC Beatriz F. Giraldo, Carlos Arizmendi, Enrique Romero, René Alquézar, Pere Caminal, Salvador Benito, D. Ballesteros
2005	B	`conf`	An experimental study of several decision issues for feature selection with multi-layer perceptrons. IJCNN Enrique Romero, Josep M. Sopena
2005	—	`conf`	Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks. CCIA Agusti Solanas, Enrique Romero, Sergio Gómez, Josep M. Sopena, René Alquézar, Josep Domingo-Ferrer
2005	Misc	`conf`	Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study. IWANN Enrique Romero
2004	B	`conf`	Exploiting diversity of margin-based classifiers. IJCNN Enrique Romero, Xavier Carreras, Lluís Màrquez
2004	J	`jnl`	Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost. Neurocomputing Enrique Romero, Lluís Màrquez, Xavier Carreras
2003	B	`conf`	Feature selection forcing overtraining may help to improve performance. IJCNN Enrique Romero, Josep M. Sopena, Gorka Navarrete, René Alquézar