( en | de | ru )

 

Disambiguation of "Romero, Enrique"

Author of the publication

copydeleteadd this publication to your clipboard
ECG assessment based on neural networks with pretraining.

, , , , and . Appl. Soft Comput., (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Philipp Romero

Funktionelle und klinische Relevanz von Mutationen des Calcium-Sensing-Receptors. Uni Marburg, (2009)

Francisco Javier Romero y Romero

Oscar Romero

Daniel Romero

Rolf Romero

 

Other publications of authors with the same name

A Rule-Extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems., , , and . CCIA, volume 288 of Frontiers in Artificial Intelligence and Applications, page 213-220. IOS Press, (2016)On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations., , and . CoRR, (2019)Using the Leader Algorithm with Support Vector Machines for Large Data Sets.. ICANN (1), volume 6791 of Lecture Notes in Computer Science, page 225-232. Springer, (2011)Modeling perceptual categories of parametric musical systems., , , and . Pattern Recognit. Lett., (2018)Towards interpretable classifiers with blind signal separation., , , , , , and . IJCNN, page 1-7. IEEE, (2012)Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks., , and . Expert Syst. Appl., 39 (5): 5223-5232 (2012)Weighted contrastive divergence., , , and . Neural Networks, (2019)Frequency Selection for the Diagnostic Characterization of Human Brain Tumours., , and . CCIA, volume 202 of Frontiers in Artificial Intelligence and Applications, page 391-398. IOS Press, (2009)A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration., , , , and . CEC, page 1317-1323. IEEE, (2016)Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost., , and . Neurocomputing, (2004)