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Disambiguation of "Fontenla-Romero, Oscar"

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A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization.

, , and . IWANN (1), volume 5517 of Lecture Notes in Computer Science, page 157-164. Springer, (2009)

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Oscar Romero

Oscar Romero-Saravia

Philipp Romero

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

Francisco Javier Romero y Romero

Daniel Romero

 

Other publications of authors with the same name

Conversion methods for symbolic features: A comparison applied to an intrusion detection problem., , , and . Expert Syst. Appl., 36 (7): 10612-10617 (2009)A study of performance on microarray data sets for a classifier based on information theoretic learning., , , and . Neural Networks, 24 (8): 888-896 (2011)A Decision-Making Model for Environmental Behavior in Agent-Based Modeling., , , , , and . IWANN (1), volume 7902 of Lecture Notes in Computer Science, page 152-160. Springer, (2013)A Bayesian Neural Network Approach for Sleep Apnea Classification., , , , and . AIME, volume 2780 of Lecture Notes in Computer Science, page 284-293. Springer, (2003)A Fast Classification Algorithm Based on Local Models., , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 249-256. Springer, (2006)A Linear Learning Method for Multilayer Perceptrons Using Least-Squares., , , and . IDEAL, volume 4881 of Lecture Notes in Computer Science, page 365-374. Springer, (2007)A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization., , and . IWANN (1), volume 5517 of Lecture Notes in Computer Science, page 157-164. Springer, (2009)Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?, , and . CoRR, (2023)Machine learning techniques to predict different levels of hospital care of CoVid-19., , , , , and . Appl. Intell., 52 (6): 6413-6431 (2022)FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks., , , and . Future Gener. Comput. Syst., (December 2023)