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ORCIDEnrique Romero
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Journal Articles
- 2020
[j19]David Calhas, Enrique Romero, Rui Henriques
:
On the use of pairwise distance learning for brain signal classification with limited observations. Artif. Intell. Medicine 105: 101852 (2020)- [j18]Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero:
On-The-Fly Syntheziser Programming with Fuzzy Rule Learning. Entropy 22(9): 969 (2020) - 2019
- [j17]Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca Prats:
Weighted contrastive divergence. Neural Networks 114: 147-156 (2019) - 2018
- [j16]Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero:
Modeling perceptual categories of parametric musical systems. Pattern Recognit. Lett. 105: 217-225 (2018) - 2016
- [j15]Vicent J. Ribas Ripoll, Anna Wojdel, Enrique Romero, Pablo Ramos, Josep Brugada:
ECG assessment based on neural networks with pretraining. Appl. Soft Comput. 49: 399-406 (2016) - 2014
- [j14]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): 45-52 (2014) - [j13]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): 5296-5307 (2014) - 2012
- [j12]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): 5223-5232 (2012) - [j11]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): 13193-13201 (2012) - [j10]Enrique Romero, René Alquézar:
Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks. Neural Networks 25: 122-129 (2012) - [j9]Enrique Romero, Tingting Mu, Paulo J. G. Lisboa:
Cohort-based kernel visualisation with scatter matrices. Pattern Recognit. 45(4): 1436-1454 (2012) - 2010
- [j8]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): 622-632 (2010) - 2009
- [j7]Ignacio Barrio, Enrique Romero, Lluís Belanche:
An experimental study on methods for the selection of basis functions in regression. Neurocomputing 72(13-15): 2952-2963 (2009) - [j6]Alfredo Vellido, Enrique Romero, Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Margarida Julià-Sapé, Carles Arús:
Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database. Neurocomputing 72(13-15): 3085-3097 (2009) - 2008
- [j5]Enrique Romero, Josep M. Sopena:
Performing Feature Selection With Multilayer Perceptrons. IEEE Trans. Neural Networks 19(3): 431-441 (2008) - 2007
- [j4]Enrique Romero, René Alquézar:
Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study. Neurocomputing 70(16-18): 2735-2743 (2007) - [j3]Enrique Romero, Daniel Toppo:
Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights. IEEE Trans. Neural Networks 18(3): 959-963 (2007) - 2006
- [j2]Enrique Romero, René Alquézar:
A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies. Neurocomputing 69(13-15): 1540-1552 (2006) - 2004
- [j1]Enrique Romero, Lluís Màrquez, Xavier Carreras:
Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost. Neurocomputing 57: 313-344 (2004)
Conference and Workshop Papers
- 2022
- [c35]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:
NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy. IWBBIO (1) 2022: 343-356 - 2020
- [c34]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: 1-8 - 2019
- [c33]Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica:
Charting Perceptual Spaces with Fuzzy Rules. FUZZ-IEEE 2019: 1-6 - 2018
- [c32]Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero:
Classifying and Generalizing Successful Parameter Combinations for Sound Design. CCIA 2018: 256-265 - [c31]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: 80-84 - 2017
- [c30]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: 319-320 - [c29]Enrique Romero:
Benchmarking the selection of the hidden-layer weights in extreme learning machines. IJCNN 2017: 1607-1614 - 2016
- [c28]Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica:
A Rule-Extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems. CCIA 2016: 213-220 - [c27]Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica, Alfredo Vellido:
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration. CEC 2016: 1317-1323 - 2015
- [c26]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: 1-8 - 2014
- [c25]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: 289-292 - [c24]Vicent J. Ribas Ripoll, Anna Wojdel, Pablo Ramos, Enrique Romero, Josep Brugada:
Assessment of Electrocardiograms with Pretraining and Shallow Networks. CinC 2014: 1061-1064 - [c23]David Buchaca Prats, Enrique Romero, Ferran Mazzanti, Jordi Delgado:
Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error. ICLR (Workshop Poster) 2014 - 2013
- [c22]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 - [c21]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: 2057-2063 - 2012
- [c20]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: 1-7 - 2011
- [c19]Carlos Arizmendi, Daniel A. Sierra, Alfredo Vellido, Enrique Romero:
Brain tumour classification using Gaussian decomposition and neural networks. EMBC 2011: 5645-5648 - [c18]Enrique Romero:
Using the Leader Algorithm with Support Vector Machines for Large Data Sets. ICANN (1) 2011: 225-232 - 2010
- [c17]Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa:
Cohort-based kernel visualisation with scatter matrices. IJCNN 2010: 1-8 - 2009
- [c16]Carlos Arizmendi, Alfredo Vellido, Enrique Romero:
Frequency Selection for the Diagnostic Characterization of Human Brain Tumours. CCIA 2009: 391-398 - [c15]Enrique Romero, Alfredo Vellido, Josep M. Sopena:
Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database. IWANN (1) 2009: 1013-1020 - 2008
- [c14]Enrique Romero, Margarida Julià-Sapé, Alfredo Vellido:
DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization. ESANN 2008: 95-100 - [c13]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: 613-618 - [c12]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: 189-196 - 2007
- [c11]Enrique Romero, Ignacio Barrio, Lluís Belanche:
Incremental and Decremental Learning for Linear Support Vector Machines. ICANN (1) 2007: 209-218 - [c10]Ignacio Barrio, Enrique Romero, Lluís Belanche:
Selection of Basis Functions Guided by the L2 Soft Margin. ICANN (1) 2007: 421-430 - [c9]Ignacio Barrio, Enrique Romero, Lluís Belanche:
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors. ICANN (1) 2007: 431-440 - [c8]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: 160-165 - [c7]Ignacio Barrio, Enrique Romero, Lluís Belanche:
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. IJCNN 2007: 436-441 - [c6]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: 1020-1027 - 2006
- [c5]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: 2195-2198 - [c4]Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz:
On the selection of hidden neurons with heuristic search strategies for approximation. ESANN 2006: 389-394 - [c3]Enrique Romero, Daniel Toppo:
Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters. IDEAL 2006: 90-98 - 2005
- [c2]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: 41-48 - [c1]Enrique Romero:
Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study. IWANN 2005: 225-232
Reference Works
- 2009
- [r1]Enrique Romero, Julio J. Valdés, Alan J. Barton:
Neural Network-Based Visual Data Mining for Cancer Data. Encyclopedia of Artificial Intelligence 2009: 1205-1211
Informal and Other Publications
- 2020
- [i2]Ferran Mazzanti, Enrique Romero:
Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling. CoRR abs/2007.11926 (2020) - 2019
- [i1]David Calhas, Enrique Romero, Rui Henriques:
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations. CoRR abs/1906.02076 (2019)
Coauthor Index
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