Publications

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Journals

• 2024 Carrera, L., Brullet, N., Capomaggi, J., Santacana, A., Devesa, R., Rosselló, G., Romero, E. and Ortega, L., "The Impact of Architecturally Qualified Data in Deep Learning Methods for the Automatic Generation of Social Housing Layouts", Automation for Contruction, 158, 105238, [Download]. [BibTeX Entry]

• 2023 Zhang, X., Paz, I., Nebot, A., Mugica, F. and Romero, E., "Ad-RuLer: A Novel Rule-Driven Data Synthesis Technique for Imbalanced Classification", Applied Sciences, 13 (23), 12636, [Download]. [BibTeX Entry]

• 2023 Carrera, L., Benali, A., Cristin, A., Martín, R., Bernal, C., Alé, A., Barraso, M., Marín, S., Feu, S., Rosinés, J, Hernández, T., Vilá, I., Castro, R., Oliva, C., Vinagre, I., Ortega, E., Giménez, M., Vellido, A., Romero, E. and Zarranz-Ventura, J., "Radiomics-based Assessment of Optical Coherence Tomography Angiography Images for Diabetic Retinopathy Diagnosis", Ophtalmology Science, 3 (2), 100259, [Download]. [BibTeX Entry]

• 2021 Beltran, J., Gallego, A., Huidobro, A., Padró, L. and Romero, E, "Male and Female Politicians on Twitter: A Machine Learning Approach", European Journal of Political Research, 60, 239-251, [Download]. [BibTeX Entry]

• 2020 Nuñez, L. M., Romero, E., Julià-Sapé, M., Ledesma-Carbayo, M. J., Santos, A., Arús, C., Candiota, A .P. and Vellido, A., "Unraveling Response to Temozolomide in Preclinical GL261 Glioblastoma with MRI/MRSI using Radiomics and Signal Source Extraction", Scientific Reports, 10, [Download]. [BibTeX Entry]

• 2020 Calhas, D., Romero, E. and Henriques, R., "On the Use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations", Artificial Intelligence in Medicine, 105, [Download]. [BibTeX Entry]

• 2020 Paz, I., Nebot, A., Mugica, F. and Romero, E., "On-The-Fly Syntheziser Programming with Fuzzy Rule Learning", Entropy, 22 (9), 969, [Download]. [BibTeX Entry]

• 2019 Romero, E., Mazzanti, F., Delgado, J. and Buchaca, D., "Weighted Contrastive Divergence", Neural Networks, 114, 147-156, [Download]. [BibTeX Entry]

• 2018 König, C., Shaim, I., Vellido, A., Romero, E., Alquézar, R. and Giraldo, J., "Using Machine Learning Tools for Protein Database Biocuration Assistance", Scientific Reports, 8, 10148, [Download]. [BibTeX Entry]

• 2018 Paz, I., Nebot, A., Mugica, F. and Romero, E., "Modeling Perceptual Categories of Parametric Musical Systems", Pattern Recognition Letters, 105, 217-225, [Download]. [BibTeX Entry]

• 2018 Romero, E., Mazzanti, F. and Delgado, J., "A Neighborhood-Based Stopping Criterion for Contrastive Divergence", IEEE Transactions on Neural Networks and Learning Systems, 29 (7), 2695-2704, [Download]. [BibTeX Entry]

• 2016 Ribas, V., Wojdel, A., Romero, E., Ramos, P. and Brugada, J., "ECG Assessment based on Neural Networks with Pretraining", Applied Soft Computing, 49, 399-406, [Download]. [BibTeX Entry]

• 2014 Arizmendi, C., Sierra, D. A., Vellido, A. and Romero, E., "Automated Classification of Brain Tumours from Short Echo Time in Vivo MRS Data Using Gaussian Decomposition and Bayesian Neural Networks", Expert Systems with Applications, 41 (11), 5296-5307, [Download]. [BibTeX Entry]

• 2014 Ribas, V., Vellido, A., Romero, E. and Ruíz-Rodríguez, J. C., "Sepsis Mortality Prediction with the Quotient Basis Kernel", Artificial Intelligence in Medicine, 61 (1), 45-52, [Download]. [BibTeX Entry]

• 2013 Ortega-Martorell, S., Ruiz, H., Vellido, A., Olier, I., Romero, E., Julià-Sapé, M., Martín, J., Jarman, I. H., Arús, C. and Lisboa, P. J. G., "A Novel Semi-supervised Methodology for Extracting Tumor Type-specific MRS Sources in Human Brain Data", PLoS ONE, 8 (12), e83773, [Download]. [BibTeX Entry]

• 2012 Romero, E. and Alquézar, R., "Comparing Error Minimized Extreme Learning Machines and Support Vector Sequential Feed-forward Neural Networks", Neural Networks, 25, 122-129, [Download]. [BibTeX Entry]

• 2012 Valdés, J. J., Romero, E. and Barton, A. J., "Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Cancer and Geophysical Prospecting Data", Expert Systems with Applications, 39 (18), 13193-13201, [Download]. [BibTeX Entry]

• 2012 Vellido, A., Romero, E., Julià-Sapé, M., Majós, C., Moreno-Torres, À., Pujol, J. and Arús, C., "Robust Discrimination of Glioblastomas from Metastatic Brain Tumors on the Basis of Single-voxel Proton MRS", NMR in Biomedicine, 25 (6), 819-828, [Download]. [BibTeX Entry]

• 2012 Arizmendi, C., Vellido, A. and Romero, E., "Classification of Human Brain Tumours from MRS Data Using Discrete Wavelet Transform and Bayesian Neural Networks", Expert Systems with Applications, 39 (5), 5223-5232, [Download]. [BibTeX Entry]

• 2012 Romero, E., Mu, T. and Lisboa, P.J.G., "Cohort-based Kernel Visualisation with Scatter Matrices", Pattern Recognition, 45 (4), 1436-1454, [Download]. [BibTeX Entry]

• 2010 González, F., Belanche, L., Romero, E., Vellido, A., Julià-Sapé, M. and Arús, C., "Feature and Model Selection with Discriminatory Visualization for Diagnostic Classification of Brain Tumours", Neurocomputing, 73 (4-6), 622-632, [Download]. [BibTeX Entry]

• 2009 Vellido, A., Romero, E., González, F., Belanche, L., Julià-Sapé, M. and Arús, C., "Outlier Exploration and Diagnostic Classification of a Multi-centre ^1H-MRS Brain Tumour Database", Neurocomputing, 72 (13-15), 3085-3097, [Download]. [BibTeX Entry]

• 2009 Barrio, I., Romero, E. and Belanche, L., "An Experimental Study on Methods for the Selection of Basis Functions in Regression", Neurocomputing, 72 (13-15), 2952-2963, [Download]. [BibTeX Entry]

• 2008 Romero, E. and Sopena, J. M., "Performing Feature Selection with Multi-Layer Perceptrons", IEEE Transactions on Neural Networks, 19 (3), 431-441, [Download]. [BibTeX Entry]

• 2007 Romero, E. and Alquézar, R., "Heuristics for the Selection of Weights in Sequential Feed-forward Neural Networks: An Experimental Study", Neurocomputing, 70 (16-18), 2735-2743, [Download]. [BibTeX Entry]

• 2007 Romero, E. and Toppo, D., "Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Hidden-layer Weights", IEEE Transactions on Neural Networks, 18 (3), 959-963, [Download]. [BibTeX Entry]

• 2006 Romero, E. and Alquézar, R., "A Sequential Algorithm for Feed-forward Neural Networks with Optimal Coefficients and Interacting Frequencies", Neurocomputing, 69 (13-15), 1540-1552, [Download]. [BibTeX Entry]

• 2004 Romero, E., Màrquez, L. and Carreras, X., "Margin Maximization with Feed-forward Neural Networks: A Comparative Study with SVM and AdaBoost", Neurocomputing, 57, 313-344, [Download]. [BibTeX Entry]

• 2004 Sopena, J. M. and Romero, E., "Redes Neuronales y Métodos Estadísticos Clásicos en el Diagnóstico Médico: La Importancia de las Variables Irrelevantes (in Spanish)", Medicina Clínica, 122 (9), 336-338, editorial. [BibTeX Entry]

• 2003 Selva, A., Romero, E., Sopena, J. M., Mijares, T., Solans, R., Labrador, M. and Vilardell, M., "Reply to Linder et al. (2003)", Arthritis and Rheumatism, 48 (4), 1169-1170. [BibTeX Entry]

• 2002 Selva, A., Mijares, T., Solans, R., Labrador, M., Romero, E., Sopena, J. M. and Vilardell, M., "The Neural Network as a Predictor of Cancer in Patients with Inflammatory Myopathies", Arthritis and Rheumatism, 46 (9), 2547-2548. [BibTeX Entry]

Conferences

• 2023 Benali, A., Martín, R., Romero, E. and Vellido, A., "Optimización de Imágenes", 54è Congrés de la Societat Catalana d’Oftalmologia. [BibTeX Entry]

• 2023 Mazzanti, F., Romero, E., Martí, J. and Prat, A., "Efficient Evaluation of the Partition Function of Restricted Boltzmann Machines with Annealed Importance Sampling", 17th Granada Seminar Machine Learning and Physics: Quantum, Classical and Applications. [BibTeX Entry]

• 2022 Zarranz-Ventura, J., Carrera, L., Benali, A., Cristin, A., Martín, R., Alé, A., Barraso, M., Bernal, C., Marín, S., Feu, S., Rosinés, J, Hernández, T., Vilá, I., Castro, R., Oliva, C., Vinagre, I., Ortega, E., Giménez, M., Romero, E. and Vellido, A., "Radiomics-based Assessment of Multimodal Retinal Imaging Techniques for Diabetes Mellitus and Diabetic Retinopathy Diagnosis", Euretina. [BibTeX Entry]

• 2022 Benali, A., Carrera, L., Cristin, A., Martín, R., Alé, A., Barraso, M., Bernal, C., Marín, S., Feu, S., Rosinés, J, Hernández, T., Vilá, I., Oliva, C., Vinagre, I., Ortega, E., Giménez, M., Esmatles, E., Zarranz-Ventura, J., Romero, E. and Vellido, A., "NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy", International Work-Conference on Bioinformatics and Biomedical Engineering. [BibTeX Entry]

• 2020 Nuñez, L. M., Julià-Sapé, M., Romero, E., Arús, C., Vellido, A. and Candiota, A .P., "Monitoring of TMZ Therapy in Murine GL261 Glioblastoma by Combining Radiomics, Convex-NMF and Feature Selection in MRI/MRSI Data Analysis", Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology. [BibTeX Entry]

• 2020 Nuñez, L. M., Julià-Sapé, M., Romero, E., Arús, C., Vellido, A. and Candiota, A .P., "Interpreting Response to TMZ Therapy in Murine GL261 Glioblastoma by Combining Radiomics, Convex-NMF and Feature Selection in MRI/MRSI Data Analysis", International Joint Conference on Neural Networks, [Download]. [BibTeX Entry]

• 2019 Paz, I., Nebot, A., Romero, E. and Mugica, F., "Charting Perceptual Spaces with Fuzzy Rules", IEEE International Conference on Fuzzy Systems, [Download]. [BibTeX Entry]

• 2018 Rello, L., Romero, E., Rauschenberger, M., Ali, A., Williams, K., Bigham, J.P. and Cushen-White, N., "Screening Dyslexia for English Using HCI Measures and Machine Learning", International Digital Health Conference, 80-84. [BibTeX Entry]

• 2018 Paz, I., Nebot, A., Mugica, F. and Romero, E., "Classifying and Generalizing Successful Parameter Combinations for Sound Design", Catalan Conference on Artificial Intelligence, 256-265, [Download]. [BibTeX Entry]

• 2017 Rello, L., Macías, A., Herrera, M., de Ros, C., Romero, E. and Bigham, J.P., "DytectiveU: A Game to Train the Difficulties and the Strengths of Children with Dyslexia", International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2017), 319-320, [Download]. [BibTeX Entry]

• 2017 Romero, E., "Benchmarking the Selection of the Hidden-layer Weights in Extreme Learning Machines", International Joint Conference on Neural Networks, 1607-1614, [Download]. [BibTeX Entry]

• 2016 Paz, I., Nebot, A., Romero, E., Mugica, F. and Vellido, A., "A Methodological Approach for Algorithmic Composition Systems' Parameter Spaces Aesthetic Exploration", IEEE International Conference on Fuzzy Systems, [Download]. [BibTeX Entry]

• 2016 Paz, I., Nebot, A., Romero, E. and Mugica, F., "A Rule-extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems", Catalan Conference on Artificial Intelligence, 213-218, [Download]. [BibTeX Entry]

• 2015 Mugica, F., Paz, I., Nebot, A. and Romero, E., "A Fuzzy Inductive Approach for Rule-Based Modelling of High Level Structures in Algorithmic Composition Systems", IEEE International Conference on Fuzzy Systems, [Download]. [BibTeX Entry]

• 2014 Ribas, V., Wojdel, A., Ramos, P., Romero, E. and Brugada, J., "Assessment of Electrocardiograms with Pretraining and Shallow Networks", Computing in Cardiology, [Download]. [BibTeX Entry]

• 2014 Ribas, V., Wojdel, A., Sáez de Tejada, A., Ruíz-Rodríguez, J.C., Ruíz Sanmartín, A., de Nadal, M., Romero, E. and Vellido, A., "Continuous Blood Pressure Assessment from a Photoplethysmographic Signal with Deep Belief Networks", Experimental Biology, [Download]. [BibTeX Entry]

• 2014 Buchaca, D., Romero, E., Mazzanti, F. and Delgado, J., "Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error", Workshop in the International Conference on Learning Representations, [Download]. [BibTeX Entry]

• 2014 Paz, I., Nebot, A., Mugica, F. and Romero, E., "Using the Fuzzy Inductive Reasoning Methodology to Improve Coherence in Algorithmic Musical Beat Patterns", Catalan Conference on Artificial Intelligence, 289-292, [Download]. [BibTeX Entry]

• 2013 Álvarez-Casado, E. and Romero, E., "Analisi dell'Esposizione a Rischi in una Professione Altamente Variabile: il Lavoro di Imbianchino (in Italian)", Settimo Seminario Internazionale Prevenzione del Rischio da Sovraccarico Biomeccanico in Agricoltura e Edilizia. [BibTeX Entry]

• 2013 Barrón-Cedeño, A., Màrquez, L., Henríquez, C. A., Formiga, L., Romero, E. and May, J., "Identifying Useful Human Correction Feedback from an On-line Machine Translation Service", International Joint Conference on Artificial Intelligence, 2057-2063. [BibTeX Entry]

• 2013 Ribas, V., Romero, E., Ruíz-Rodríguez, J. C. and Vellido, A., "A Quotient Basis Kernel for the Prediction of Mortality in Severe Sepsis Patients", European Symposium on Artificial Neural Networks, 379-384, [Download]. [BibTeX Entry]

• 2012 Ruiz, H., Ortega-Martorell, S., Jarman, I. H., Vellido, A., Martín, J., Romero, E. and Lisboa, P. J. G., "Towards Interpretable Classifier with Blind Signal Separation", International Joint Conference on Neural Networks, 1-7, [Download]. [BibTeX Entry]

• 2011 Arizmendi, C., Sierra, D. A., Vellido, A. and Romero, E., "Brain Tumour Classification Using a Gaussian Decomposition and Neural Networks", IEEE International Conference of the Engineering in Medicine and Biology Society, 5645-5648, [Download]. [BibTeX Entry]

• 2011 Romero, E., "Using the Leader Algorithm with Support Vector Machines for Large Data Sets", International Conference on Artificial Neural Networks (Lecture Notes in Computer Science 6791), 225-232, [Download]. [BibTeX Entry]

• 2011 Arizmendi, C., Vellido, A. and Romero, E., "Binary Classification of Brain Tumours Using a Discrete Wavelet Transform and Energy Criteria", IEEE Latin American Symposium on Circuits and Systems, 1-4, [Download]. [BibTeX Entry]

• 2010 Arizmendi, C., Hernández-Tamames, J., Romero, E., Vellido, A. and del Pozo, F., "Diagnosis of Brain Tumours from Magnetic Resonance Spectroscopy using Wavelets and Neural Networks", IEEE International Conference of the Engineering in Medicine and Biology Society, 6074-6077, [Download]. [BibTeX Entry]

• 2010 Romero, E., Fernandez, A.S., Mu, T. and Lisboa, P.J.G., "Cohort-based Kernel Visualisation with Scatter Matrices", International Joint Conference on Neural Networks, 1249-1256, [Download]. [BibTeX Entry]

• 2009 Romero, E., Vellido, A., Julià-Sapé, M. and Arús, C., "Discriminating Gliblastomas from Metastases in a SV ^1H-MRS Brain Tumour Database", Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology, 18-18, [Download]. [BibTeX Entry]

• 2009 Arizmendi, C., Vellido, A. and Romero, E., "Frequency Selection for the Diagnostic Characterization of Human Brain Tumours", Catalan Conference on Artificial Intelligence, 391-398, [Download]. [BibTeX Entry]

• 2009 Arizmendi, C., Romero, E., Alquézar, R., Caminal, P., Díaz, I., Benito, S., Ballesteros, D. and Giraldo, B., "Data Mining of Patients on Weaning Trials from Mechanical Ventilation Using Cluster Analysis and Neural Networks", IEEE International Conference of the Engineering in Medicine and Biology Society, 4343-4346, [Download]. [BibTeX Entry]

• 2009 Romero, E., Vellido, A. and Sopena, J. M., "Feature Selection with Single-Layer Perceptrons for a Multi-centre ^1H-MRS Brain Tumour Database", International Work-conference on Artificial Neural Networks (Lecture Notes in Computer Science 5517), 1013-1020, [Download]. [BibTeX Entry]

• 2008 Vellido, A., Julià-Sapé, M., Romero, E. and Arús, C., "Nonlinear Dimensionality Reduction for the Exploration of Outliers in a Multicentre ^1H-MRS Database of Brain Tumours", Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology, 281-284. [BibTeX Entry]

• 2008 Lisboa, P. J. G., Romero, E., Vellido, A., Julià-Sapé, M. and Arús, C., "Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre ^1H-MRS Database of Brain Tumours", International Conference on Machine Learning and Applications, 613-618, [Download]. [BibTeX Entry]

• 2008 Vellido, A., Julià-Sapé, M., Romero, E. and Arús, C., "Exploratory Characterization of Outliers in a Multi-centre ^1H-MRS Brain Tumour Dataset", International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (Lecture Notes in Computer Science 5178), 189-196, [Download]. [BibTeX Entry]

• 2008 Romero, E., Julià-Sapé, M. and Vellido, A., "DSS-oriented Exploration of a Multi-centre Magnetic Resonance Spectroscopy Brain Tumour Dataset Through Visualization", European Symposium on Artificial Neural Networks, 95-100, [Download]. [BibTeX Entry]

• 2007 Muro, P., Amador, J. A., Romero, E. and Sopena, J. M., "Eating Habits in a Spanish Adolescent Sample Analysed by Neural Networks", General Meeting of the European Council on Eating Disorders, 28-28. [BibTeX Entry]

• 2007 Romero, E., Barrio, I. and Belanche, L., "Incremental and Decremental Learning for Linear Support Vector Machines", International Conference on Artificial Neural Networks (Lecture Notes in Computer Science 4668), 209-218, [Download]. [BibTeX Entry]

• 2007 Barrio, I., Romero, E. and Belanche, L., "Selection of Basis Functions Guided by the L2 Soft Margin", International Conference on Artificial Neural Networks (Lecture Notes in Computer Science 4668), 421-430, [Download]. [BibTeX Entry]

• 2007 Barrio, I., Romero, E. and Belanche, L., "Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors", International Conference on Artificial Neural Networks (Lecture Notes in Computer Science 4668), 431-440, [Download]. [BibTeX Entry]

• 2007 Barrio, I., Romero, E. and Belanche, L., "Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression", International Joint Conference on Neural Networks, 1132-1137, [Download]. [BibTeX Entry]

• 2007 Valdés, J. J., Romero, E. and González, R., "Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting", International Joint Conference on Neural Networks, 1060-1065, [Download]. [BibTeX Entry]

• 2007 Romero, E., Valdés, J. J. and Barton, A. J., "Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective", International Work-conference on Artificial Neural Networks (Lecture Notes in Computer Science 4507), 1020-1027, [Download]. [BibTeX Entry]

• 2006 Romero, E. and Toppo, D., "Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters", International Conference on Intelligent Data Engineering and Automated Learning (Lecture Notes in Computer Science 4224), 90-98. [BibTeX Entry]

• 2006 Giraldo, B., Arizmendi, C., Romero, E., Alquézar, R., Caminal, P., Benito, S. and Ballesteros, D., "Clasificación de Pacientes en Proceso de Extubación mediante Redes Neuronales y Selección de Características (in Spanish)", XXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica, 281-284. [BibTeX Entry]

• 2006 Giraldo, B., Arizmendi, C., Romero, E., Alquézar, R., Caminal, P., Benito, S. and Ballesteros, D., "Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection", IEEE International Conference of the Engineering in Medicine and Biology Society, 2195-2198, [Download]. [BibTeX Entry]

• 2006 Barrio, I., Romero, E. and Belanche, L., "On the Selection of Hidden Neurons with Heuristic Search Strategies for Approximation", European Symposium on Artificial Neural Networks, 389-394, [Download]. [BibTeX Entry]

• 2005 Solanas, A., Romero, E., Gómez, S., Sopena, J.M., Alquézar, R. and Domingo-Ferrer, J., "Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks", Catalan Conference on Artificial Intelligence, 41-48. [BibTeX Entry]

• 2005 Romero, E., "Selection of Weights for Sequential Feed-forward Neural Networks: An Experimental Study", International Work-conference on Artificial Neural Networks (Lecture Notes in Computer Science 3512), 225-232, [Download]. [BibTeX Entry]

• 2005 Romero, E. and Sopena, J.M., "An Experimental Study of Several Decision Issues for Feature Selection with Multi-Layer Perceptrons", International Joint Conference on Neural Networks, vol. 3, 1965-1970, [Download]. [BibTeX Entry]

• 2004 Grau, C., Sopena, J. M., Díaz, R., Romero, E., Ramos, P. J., Fuentemilla, L., Marco, J. and Gual, A., "Redes Neuronales Artificiales Aplicadas a Distinguir entre Hijos de Alcohólicos y Controles a partir de Potenciales Evocados (in Spanish)", IV Congreso Español de Psicofisiología, 51-52. [BibTeX Entry]

• 2004 Romero, E., Carreras, X. and Màrquez, L., "Exploiting Diversity of Margin-based Classifiers", International Joint Conference on Neural Networks, vol. 1, 419-424, [Download]. [BibTeX Entry]

• 2003 Armadans, I., Pol, E., Sopena, J. M. and Romero, E., "Actividad de Ocio Turístico y Personas Mayores: Análisis de Diferencias Psicosociales entre viajeros y no viajeros (in Spanish)", Congreso Nacional de Psicología Social, published in journal Encuentros en Psicología Social, 1 (3), 33-39. [BibTeX Entry]

• 2003 Romero, E., Sopena, J. M., Navarrete, G. and Alquézar, R., "Feature Selection Forcing Overtraining May Help to Improve Performance", International Joint Conference on Neural Networks, vol. 3, 2181-2186, [Download]. [BibTeX Entry]

• 2002 Romero, E. and Alquézar, R., "A New Incremental Method for Function Approximation using Feed-forward Neural Networks", International Joint Conference on Neural Networks, vol. 2, 1968-1973, [Download]. [BibTeX Entry]

• 2002 Romero, E. and Alquézar, R., "Maximizing the Margin with Feed-forward Neural Networks", International Joint Conference on Neural Networks, vol. 1, 743-748, [Download]. [BibTeX Entry]

• 2001 Mijares, T., Selva, A., Romero, E., Sopena, J. M., Solans, R., Labrador, M., Bosch, J. A. and Vilardell, M., "Predicción de Neoplasia y Muerte en Pacientes con Miopatía Inflamatoria Idiopática mediante Redes Neuronales (in Spanish)", 9è Congrés Català-Balear de Medicina Interna, 60-60. [BibTeX Entry]

• 1999 Sopena, J. M., Sanz, E., Ramos, P., Romero, E. and Alquézar, R., "¿Puede el aleteo de una mariposa causar que una pareja se divorcie? Un estudio del riesgo de divorcio mediante redes neuronales y selección de atributos (in Spanish)", Catalan Conference on Artificial Intelligence, 86-92. [BibTeX Entry]

• 1999 Sopena, J. M., Romero, E. and Alquézar, R., "Neural Networks with Periodic and Monotonic Activation Functions: A Comparative Study in Classification Problems", International Conference on Artificial Neural Networks, 323-328, [Download]. [BibTeX Entry]

• 1997 Sopena, J. M., Romero, E., López, J. and Díaz, C., "Redes Neuronales con Funciones Periódicas y Funciones Monótonas: Un Estudio Comparativo en Problemas de Clasificación (in Spanish)", Jornades d'Intel·ligència Artificial (ACIA), 92-102. [BibTeX Entry]

Book Chapters

• 2023 Ortega, Ll., Romero, E., Carrera, L., Brullet, N., Capomaggi, J., Santacana, A. and Devesa, R, "MALEAD", Antagonismos 13, Schianchi, M. and Amejeiras, D. (editors), Instituto de Arquitectura, Buenos Aires, Argentina, 8-15. [BibTeX Entry]

• 2017 Paz, I., Nebot, A., Mugica, F. and Romero, E., "A Fuzzy Rule Model for High Level Musical Features on Automated Composition Systems", Paz, I. and Nebot, A. and Mugica, F. and Romero, E., Pareyon, G., Pina-Romero, S., Agustín-Aquino, O. A., Lluis-Puebla, E. (editors), Springer, 243-251, [Download]. [BibTeX Entry]

• 2012 Arizmendi, C., Vellido, A. and Romero, E., "Preprocessing MRS Information for Classification of Human Brain Tumours", Medical Applications of Intelligent Data Analysis: Research Advancements, Magdalena-Benedito, R., Soria-Olivas, E., Guerrero, J., Gómez-Sanchis, J. and Serrano-López, A.J. (editors), IGI Global, 29-49. [BibTeX Entry]

• 2009 Vellido, A., Julià-Sapé, M., Romero, E. and Arús, C., "Exploratory Characterization of a Multi-centre ^1H-MRS Brain Tumour Database", Investigating Human Cancer with Computational Intelligence Techniques, Vellido, A. and Lisboa, P.J.G. (editors), Future Technology Press, 55-67. [BibTeX Entry]

• 2008 Romero, E., Valdés, J. J. and Barton, A. J., "Neural Network Based Visual Data Mining for Cancer Data", Encyclopedia of Artificial Intelligence, Rabuñal, J.R., Dorado, J. and Pazos, A. (editors), IDEA Group Inc., 1205-1211. [BibTeX Entry]

• 2008 Giraldo, B., Arizmendi, C., Romero, E., Alquézar, R., Caminal, P. and Benito, S., "Patients on Weaning Trials Classified with Neural Networks and Feature Selection", Encyclopedia of Healthcare Information Systems, Wickramasinghe, N. and Geisler, E. (editors), IDEA Group Inc., 1061-1067. [BibTeX Entry]

• 2004 Alquézar, R., Belanche, L., Nebot, A., Romero, E. and Vellido, A., "Investigación actual del grupo SOCO: Metodologías híbridas de Soft Computing (in Spanish)", Tendencias de la Minería de Datos en España, Giráldez, R., Riquelme, J. C. and Aguilar-Ruiz, J. S. (editors), Red Española de Minería de Datos, 193-204. [BibTeX Entry]

• 2004 Carreras, X., Màrquez, L. and Romero, E., "Máquinas de Vectores Soporte (in Spanish)", Introducción a la Minería de Datos, Hernández, J., Ramírez and M. J. and Ferri, C. (editors), Pearson Prentice Hall, 353-382. [BibTeX Entry]

Ph.D. Theses

• 2004 Romero, E., "Learning with Feed-forward Neural Networks: Three Schemes to Deal with the Bias/Variance Trade-off", Departament de Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, Spain, codirected by Alquézar, R. (UPC) and Sopena, J.M. (UB), [Download]. [BibTeX Entry]