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Romero Merino, Enrique

Total activity: 92
Areas of expertise
Deep Learning, Machine Learning, Neural Networks
h index
8
Professional category
Tenure-track 2 lecturers
Doctoral courses
DOCTOR
Research group
SOCO - Soft Computing
Department
Department of Computer Science
School
Barcelona School of Informatics (FIB)
E-mail
eromerocs.upc.edu
Contact details
UPC directory Open in new window
Orcid
0000-0003-2404-5716 Open in new window

Scientific and technological production

1 to 50 of 92 results
 
  • A fuzzy inductive approach for rule-based modelling of high level structures in algorithmic composition systems

     Mugica, F.; Paz Ortiz, I.; Nebot, M.; Romero, E.
    IEEE International Conference on Fuzzy Systems
    p. 1-8
    DOI: 10.1109/FUZZ-IEEE.2015.7337968
    Presentation's date: 2015-08
    Presentation of work at congresses
  • Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns  Open access

     Paz-Ortiz, I.; Nebot, M.; Mugica, F.; Romero, E.
    DOI: 10.3233/978-1-61499-452-7-289
    Date of publication: 2014-10-23
    Book chapter
    Access to the full text
  • Assessment of electrocardiograms with pretraining and shallow networks  Open access

     Ribas, V.; Wojdel, A.Anna Wojdel; Ramos, P.; Romero, E.; Brugada, J.
    Computing in Cardiology Annual Conference
    p. 1061-1064
    Presentation's date: 2014-09-09
    Presentation of work at congresses
    Access to the full text
  • Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian decomposition and Bayesian neural networks

     Arizmendi, C.; Sierra, D.A.; Vellido, A.; Romero, E.
    Expert systems with applications
    Vol. 41, num. 11, p. 5296-5307
    DOI: 10.1016/j.eswa.2014.02.031
    Date of publication: 2014-09
    Journal article
  • Sepsis mortality prediction with the Quotient Basis Kernel

     Ribas, V.; Vellido, A.; Romero, E.; Ruiz-Rodríguez, Juan C.
    Artificial intelligence in medicine
    Vol. 61, num. 1, p. 45-52
    DOI: 10.1016/j.artmed.2014.03.004
    Date of publication: 2014-05-01
    Journal article
  • Continuous blood pressure assessment from a photoplethysmographic signal with Deep Belief Networks

     Ribas, V.; Wojdel, A.Anna Wojdel; Sáez de Tejada, A.; Ruiz-Rodríguez, Juan C.; Ruiz, A.; Nadal, M.; Romero, E.; Vellido, A.
    Experimental Biology
    Presentation's date: 2014-04-28
    Presentation of work at congresses
  • Stopping criteria in contrastive divergence: Alternatives to the reconstruction error  Open access

     Buchaca, D.; Romero, E.; Mazzanti, F.; Delgado, J.
    International Conference on Learning Representations
    Presentation's date: 2014-04-15
    Presentation of work at congresses
    Access to the full text
  • A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data

     Ortega, S.; Ruiz, H.; Vellido, A.; Olier, I.; Romero, E.; Julia, M.; Martin, J.; Jarman, I.; Arus, C.; Lisboa, P.
    PLoS one
    Vol. 8, num. 12, p. e83773-1-e83773-14
    DOI: 10.1371/journal.pone.0083773
    Date of publication: 2013-12-23
    Journal article
  • Identifying useful human correction feedback from an on-line machine translation service  Open access

     Barron-Cedeño, A.; Marquez, L.; Henriquez, C.; Formiga, L.; Romero, E.; May, J.
    International Joint Conference on Artificial Intelligence
    p. 2057-2063
    Presentation's date: 2013-08-07
    Presentation of work at congresses
    Access to the full text
  • Analisi dell’esposizione a rischi in una professione altamente variabile: il lavoro di imbianchino

     Álvarez, E.; Romero, E.
    Seminario Internazionale Prevenzione del Rischio da Sovraccarico Biomeccanico in Agricoltura e Edilizia
    Presentation's date: 2013-06-13
    Presentation of work at congresses
  • A Quotient Basis Kernel for the prediction of mortality in severe sepsis patients  Open access

     Ribas, V.; Romero, E.; Ruiz-Rodríguez, Juan C.; Vellido, A.
    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
    p. 379-384
    Presentation's date: 2013-04-24
    Presentation of work at congresses
    Access to the full text
  • On the Intelligent Management of Sepsis in the Intensive Care Unit  Open access

    Department of Computer Science, Universitat Politècnica de Catalunya
    Theses
  • Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: appplication to cancer and geophysical prospecting data

     Valdes, J.; Romero, E.; Barton, A.
    Expert systems with applications
    Vol. 39, num. 18, p. 13193-13201
    DOI: 10.1016/j.eswa.2012.05.082
    Date of publication: 2012-12-15
    Journal article
  • Robust discrimination of glioblastomas from metastatic brain tumors on the basis of single-voxel 1H MRS

     Vellido, A.; Romero, E.; Julià, M.; Majós, C.; Moreno, À.; Pujol, J.; Arús, C.
    NMR in biomedicine
    Vol. 25, num. 6, p. 819-828
    DOI: 10.1002/nbm.1797
    Date of publication: 2012-06
    Journal article
  • Preprocessing MRS information for classification of human brain tumours

     Arizmendi, C.; Vellido, A.; Romero, E.
    Date of publication: 2012-06
    Book chapter
    Image
  • Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks

     Arizmendi, C.; Vellido, A.; Romero, E.
    Expert systems with applications
    Vol. 39, num. 5, p. 5223-5232
    DOI: 10.1016/j.eswa.2011.11.017
    Date of publication: 2012-04
    Journal article
  • Cohort-based kernel visualisation with scatter matrices

     Romero, E.; Mu, T.; Lisboa, P.
    Pattern recognition
    Vol. 45, num. 4, p. 1436-1454
    DOI: 10.1016/j.patcog.2011.09.025
    Date of publication: 2012-04
    Journal article
  • Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks

     Romero, E.; Alquezar, R.
    Neural networks
    Vol. 25, num. 1, p. 122-129
    DOI: 10.1016/j.neunet.2011.08.005
    Date of publication: 2012-01
    Journal article
  • Towards interpretable classifiers with blind signal separation

     Ruiz, H.; Ortega, S.; Jarman, I.; Vellido, A.; Martin, J.; Romero, E.; Lisboa, P.
    International Conference on Neural Networks
    p. 1-7
    DOI: 10.1109/IJCNN.2012.6252783
    Presentation's date: 2012
    Presentation of work at congresses
  • Brain tumour classification using Gaussian decomposition and neural networks

     Arizmendi, C.; Sierra, D.A.; Vellido, A.; Romero, E.
    IEEE Engineering in Medicine and Biology Society
    p. 5645-5648
    DOI: 10.1109/IEMBS.2011.6091366
    Presentation's date: 2011-08-30
    Presentation of work at congresses
  • Using the Leader algorithm with Support Vector Machines for large data sets

     Romero, E.
    International Conference on Artificial Neural Networks
    p. 225-232
    DOI: 10.1007/978-3-642-21735-7_28
    Presentation's date: 2011-06
    Presentation of work at congresses
  • Binary classification of brain tumours using a discrete wavelet transform and energy criteria

     Arizmendi, C.; Vellido, A.; Romero, E.
    Latin American Symposium on Circuits and Systems
    p. 1-4
    DOI: 10.1109/LASCAS.2011.5750304
    Presentation's date: 2011-02
    Presentation of work at congresses
  • Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors

     González, F.F.; Belanche, Ll.; Romero, E.; Vellido, A.; Julià, M.; Arús, C.
    Neurocomputing
    Vol. 73, num. 4-6, p. 622-632
    DOI: 10.1016/j.neucom.2009.07.018
    Date of publication: 2010-10
    Journal article
  • Diagnosis of brain tumours from magnetic resonance spectroscopy using wavelets and neural networks

     Arizmendi, C.; Hernández-Tamames, J.; Romero, E.; Vellido, A.; Pozo, F.
    IEEE Engineering in Medicine and Biology Society
    p. 6074-6077
    DOI: 10.1109/IEMBS.2010.5627627
    Presentation's date: 2010-09-02
    Presentation of work at congresses
  • Cohort-based kernel visualisation with scatter matrices

     Romero, E.; Fernandes, A.S.; Mu, T.; Lisboa, P.
    International Conference on Neural Networks
    p. 1249-1256
    DOI: 10.1109/IJCNN.2010.5596679
    Presentation's date: 2010-07-21
    Presentation of work at congresses
  • Access to the full text
  • AIDTUMOUR: HERRAMIENTAS BASADAS EN METODOS DE INTELIGENCIA ARTIFICIAL PARA EL APOYO A LA DECISION EN

     Nebot, M.; Mugica, F.; Belanche, Ll.; Romero, E.; Vellido, A.
    Competitive project
  • Frequency selection for the diagnostic characterization of human brain tumours

     Arizmendi, C.; Vellido, A.; Romero, E.
    International Conference of the Catalan Association for Artificial Intelligence
    p. 391-398
    Presentation's date: 2009-10-22
    Presentation of work at congresses
  • Discriminating glioblastomas from metastases in a SV1H-MRS brain tumour database  Open access

     Romero, E.; Vellido, A.; Julià, M.; Arús, C.
    Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology
    p. 18-19
    Presentation's date: 2009-10-02
    Presentation of work at congresses
    Access to the full text
  • Data mining of patients on weaning trials from mechanical ventilation using cluster analysis and neural networks  Open access

     Arizmendi, C.; Romero, E.; Alquezar, R.; Caminal, P.; Diaz, I.; Benito, S.; Giraldo, B.
    Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    p. 4343-4346
    DOI: 10.1109/IEMBS.2009.5332742
    Presentation's date: 2009-09
    Presentation of work at congresses
    Access to the full text
  • An experimental study on methods for the selection of basis functions in regression

     Barrio, I.; Romero, E.; Belanche, Ll.
    Neurocomputing
    Vol. 72, num. SI:13-15, p. 2952-2963
    Date of publication: 2009-08
    Journal article
  • Feature Selection with Single-Layer Perceptrons for a multicentre 1H-MRS brain tumour database

     Romero, E.; Vellido, A.; Sopena, J.
    Lecture notes in computer science
    Vol. 5517, p. 1013-1020
    DOI: 10.1007/978-3-642-02478-8_127
    Date of publication: 2009-06-12
    Journal article
  • Exploratory characterization of a multi-centre 1H-MRS brain tumour database

     Vellido, A.; Julià-Sapé, M.; Romero, E.; Arús, C.
    Date of publication: 2009-01-31
    Book chapter
    Image
  • Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database

     Vellido, A.; Romero, E.; González, F.F.; Belanche, Ll.; Julià, M.; Arús, C.
    Neurocomputing
    Vol. 72, num. 13-15, p. 3085-3097
    DOI: doi:10.1016/j.neucom.2009.03.010
    Date of publication: 2009
    Journal article
  • Data mining of patients on weaning trials from mechanical ventilation using cluster analysis and neural networks

     Arizmendi, C.; Romero, E.; Alquezar, R.; Caminal, P.; Diaz, I.; Salvador, B.; Giraldo, B.
    Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Vol. 1, p. 4343-4346
    Date of publication: 2009
    Journal article
  • Exploratory characterization of outliers in a multi-centre 1H-MRS brain tumour dataset

     Vellido, A.; Julià, M.; Romero, E.; Arús, C.
    Lecture notes in computer science
    Vol. 5178, p. 189-196
    DOI: 10.1007/978-3-540-85565-1_24
    Date of publication: 2008-09
    Journal article
  • Patients on weaning trials classified with neural networks and feature selection

     Giraldo, B.; Arizmendi, C.; Romero, E.; Alquezar, R.; Caminal, P.; Salvador, B.
    Date of publication: 2008-09
    Book chapter
    Image
  • Performing Feature Selection with Multi-Layer Perceptrons

     Romero, E.
    IEEE transactions on neural networks
    Vol. 19, num. 3, p. 431-441
    DOI: 10.1109/TNN.2007.909535
    Date of publication: 2008-03
    Journal article
  • Exploring outlierness and its causes in a 1H-MRS brain tumour database

     Vellido, A.; Romero, E.
    e-TUMOUR Workshop `Towards Brain Tumour Classification by Molecular Profiling?
    p. 40
    Presentation of work at congresses
  • Classification, dimensionality reduction, and maximally discriminatory visualization of a multicentre 1H-MRS database of brain tumors  Open access

     Lisboa, P.; Romero, E.; Vellido, A.; Julià, M.; Arús, C.
    IEEE International Conference on Machine Learning and Applications
    p. 613-618
    DOI: 10.1109/ICMLA.2008.20
    Presentation's date: 2008
    Presentation of work at congresses
    Access to the full text
  • DSS-oriented Exploration of a Multi-centre Magnetic Resonance Spectroscopy Brain Tumour Dataset Through Visualization

     Romero, E.; Julià-Sapé, M.; Vellido, A.
    European Symposium on Artificial Neural Networks
    p. 95-100
    Presentation of work at congresses
  • Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study

     Romero, E.; Alquezar, R.
    Neurocomputing
    Vol. 70, num. 16-18, p. 2735-2743
    DOI: 10.1016/j.neucom.2006.05.022
    Date of publication: 2007-10
    Journal article
  • Extended linear models with gaussian prior on the parameters and adaptive expansion vectors

     Barrio, I.; Romero, E.; Belanche, Ll.
    Lecture notes in computer science
    Vol. 4668, p. 431-440
    Date of publication: 2007-09
    Journal article
  • Selection of basis functions guided by the L2 soft margin

     Barrio, I.; Romero, E.; Belanche, Ll.
    Lecture notes in computer science
    Vol. 4668, p. 421-430
    Date of publication: 2007-09
    Journal article
  • Incremental and decremental learning for linear support vector machines

     Romero, E.; Barrio, I.; Belanche, Ll.
    Lecture notes in computer science
    Vol. 4668, p. 209-218
    Date of publication: 2007-09
    Journal article
  • Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective

     Romero, E.
    Lecture notes in computer science
    Vol. 4507, p. 1020-1027
    Date of publication: 2007-06
    Journal article
  • Comparing support vector machines and feedforward neural networks with similar hidden-layer weights

     Romero, E.; Toppo, D.
    IEEE transactions on neural networks
    Vol. 18, num. 3, p. 959-963
    Date of publication: 2007-05
    Journal article