Enrique Romero
Orcid: 0000-0002-4105-8941
According to our database1,
Enrique Romero
authored at least 56 papers
between 2004 and 2022.
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Bibliography
2022
NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
2020
Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling.
CoRR, 2020
On the use of pairwise distance learning for brain signal classification with limited observations.
Artif. Intell. Medicine, 2020
Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
Pattern Recognit. Lett., 2018
Proceedings of the 2018 International Conference on Digital Health, 2018
Proceedings of the Artificial Intelligence Research and Development, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
DytectiveU: A Game to Train the Difficulties and the Strengths of Children with Dyslexia.
Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 2017
2016
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
A Rule-Extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems.
Proceedings of the Artificial Intelligence Research and Development, 2016
2015
A Fuzzy Inductive approach for rule-based modelling of high level structures in algorithmic composition systems.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks.
Expert Syst. Appl., 2014
Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error.
Proceedings of the 2nd International Conference on Learning Representations, 2014
Artif. Intell. Medicine, 2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns.
Proceedings of the Artificial Intelligence Research and Development, 2014
2013
Identifying Useful Human Correction Feedback from an On-Line Machine Translation Service.
Proceedings of the IJCAI 2013, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks.
Neural Networks, 2012
Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data.
Expert Syst. Appl., 2012
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks.
Expert Syst. Appl., 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors.
Neurocomputing, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Outlier exploration and diagnostic classification of a multi-centre <sup>1</sup>H-MRS brain tumour database.
Neurocomputing, 2009
Neurocomputing, 2009
Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Artificial Intelligence Research and Development, 2009
2008
IEEE Trans. Neural Networks, 2008
Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights.
IEEE Trans. Neural Networks, 2007
Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study.
Neurocomputing, 2007
Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective.
Proceedings of the Computational and Ambient Intelligence, 2007
Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting.
Proceedings of the International Joint Conference on Neural Networks, 2007
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors.
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies.
Neurocomputing, 2006
Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
On the selection of hidden neurons with heuristic search strategies for approximation.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2005
2004
Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost.
Neurocomputing, 2004