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2020 – today
- 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
- [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) - [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 - [i2]Ferran Mazzanti, Enrique Romero:
Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling. CoRR abs/2007.11926 (2020)
2010 – 2019
- 2019
- [j17]Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca Prats:
Weighted contrastive divergence. Neural Networks 114: 147-156 (2019) - [c33]Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica:
Charting Perceptual Spaces with Fuzzy Rules. FUZZ-IEEE 2019: 1-6 - [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) - 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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [c17]Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa:
Cohort-based kernel visualisation with scatter matrices. IJCNN 2010: 1-8
2000 – 2009
- 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) - [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 - [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 - 2008
- [j5]Enrique Romero, Josep M. Sopena:
Performing Feature Selection With Multilayer Perceptrons. IEEE Trans. Neural Networks 19(3): 431-441 (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
- [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) - [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
- [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) - [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 - 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)
Coauthor Index
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