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Viewing Publication 1 - 84 from 84

2022

IntroductionJosé M. Ferrández, Eduardo Fernández 0001, Diego Andina, Kazuyuki Murase. IJNS, 32(10), 2022. [doi]

2021

Editorial: The Art of Editing a High Impact Scientific Journal - The Case of IJNSDiego Andina. IJNS, 31(12), 2021. [doi]

2020

2019

Determining geostrophic wind direction in a rainfall forecast expert systemFulgencio S. Buendía Buendía, Gabriel Buendia Moya, Diego Andina. icae, 26(1):111-121, 2019. [doi]

IntroductionJosé Manuel Ferrández, Diego Andina, Eduardo Fernández 0001, Pablo Martínez-Cañada, Christian A. Morillas, Francisco J. Pelayo. IJNS, 29(2):1802001, 2019. [doi]

KLN, a new biological koniocortex based unsupervised neural network: competitive results on credit scoringJuan Fombellida, Irene Martín-Rubio, A. Romera-Zarza, Diego Andina. nc, 18(2):265-273, 2019. [doi]

Images Sub-segmentation by Fuzzy and Possibilistic Clustering AlgorithmBenjamín Ojeda-Magaña, Joel Quintanilla-Domínguez, Ruben Ruelas, José Miguel Barrón-Adame, Luis Enrique Barboza Niño, Rafael Guzmán-Cabrera, Diego Andina. cys, 23(4), 2019. [doi]

Application of Koniocortex-Like Networks to Cardiac Arrhythmias ClassificationSantiago Torres-Alegre, Yasmine Benchaib, José Manuel Ferrández de Vicente, Diego Andina. iwinac 2019: 264-273 [doi]

2018

2017

Combining Multiscale Filtering and Neural Networks for Local Rainfall ForecastFulgencio S. Buendía Buendía, Gabriel Buendia Moya, Diego Andina. iwinac 2017: 481-490 [doi]

Supervised Metaplasticity for Big Data: Application to Pollutant Concentrations ForecastJuan Fombellida, Martin J. Alarcon, Santiago Torres-Alegre, Diego Andina. iwinac 2017: 374-383 [doi]

Koniocortex-Like Network Unsupervised Learning Surpasses Supervised Results on WBCD Breast Cancer DatabaseJuan Fombellida, Francisco Javier Ropero Peláez, Diego Andina. iwinac 2017: 32-41 [doi]

2016

2015

Robustness of artificial metaplasticity learning algorithmDiego Andina, Santiago Torres-Alegre, Martin J. Alarcon, Juan Seijas, Marta de Pablos Álvaro. ijon, 151:49-54, 2015. [doi]

Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database ClassificationJuan Fombellida, Santiago Torres-Alegre, Juan Antonio Piñuela-Izquierdo, Diego Andina. iwinac 2015: 399-408 [doi]

From Smart Grids to Business Intelligence, a Challenge for Bioinspired SystemsIrene Martín-Rubio, Antonio E. Florence-Sandoval, Juan Jiménez-Trillo, Diego Andina. iwinac 2015: 439-450 [doi]

The Koniocortex-Like Network: A New Biologically Plausible Unsupervised Neural NetworkFrancisco Javier Ropero Peláez, Diego Andina. iwinac 2015: 163-174 [doi]

Artificial Metaplasticity: Application to MIT-BIH Arrhythmias DatabaseSantiago Torres-Alegre, Juan Fombellida, Juan Antonio Piñuela-Izquierdo, Diego Andina. iwinac 2015: 133-142 [doi]

2013

On the biological plausibility of artificial metaplasticity learning algorithmDiego Andina, Francisco Javier Ropero Peláez. ijon, 114:32-35, 2013. [doi]

Application of Artificial Metaplasticity Neural Networks to Cardiac Arrhythmias ClassificationY. Benchaib, Alexis Marcano-Cedeño, Santiago Torres-Alegre, Diego Andina. iwinac 2013: 181-190 [doi]

Robustness of Artificial Metaplasticity Learning to Erroneous Input Distribution AssumptionsMarta de Pablos Álvaro, Diego Andina. iwinac 2013: 9-15 [doi]

Quality of Microcalcification Segmentation in Mammograms by Clustering AlgorithmsRamón O. Guardado-Medina, Benjamín Ojeda-Magaña, Joel Quintanilla-Domínguez, Ruben Ruelas, Diego Andina. softcomp 2014: 299-308 [doi]

ACO Using a MCDM Strategy for Route Finding in the City of Guadalajara, MéxicoLeopoldo Gómez-Barba, Benjamín Ojeda-Magaña, Ruben Ruelas, Diego Andina. softcomp 2014: 61-70 [doi]

Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firmsHui Li, Diego Andina, Jie Sun 0002. ijsysc, 44(8):1409-1425, 2013. [doi]

A Neural Network Simulation of Spreading DepressionDaniel Castello Paiva, Diego Andina, Francisco Javier Ropero Peláez. iwinac 2013: 1-8 [doi]

Do biological synapses perform probabilistic computations?Javier Ropero Peláez, Diego Andina. ijon, 114:24-31, 2013. [doi]

2012

2 pollutant concentrations in Salamanca, MexicoJosé Miguel Barrón-Adame, Maria Guadalupe Cortina-Januchs, Antonio Vega-Corona, Diego Andina. eswa, 39(1):107-116, 2012. [doi]

Distributed Bees Algorithm for Task Allocation in Swarm of RobotsAleksandar Jevtic, Alvaro Gutierrez, Diego Andina, Mo Jamshidi. sj, 6(2):296-304, 2012. [doi]

2011

On the Biological Plausibility of Artificial MetaplasticityDiego Andina, Javier Ropero Peláez. iwinac 2011: 119-128 [doi]

IntroductionLi Hui, Melody Y. Kiang, Diego Andina. IJNS, 21(4), 2011. [doi]

Image Segmentation Using Ant System-Based Clustering AlgorithmAleksandar Jevtic, Joel Quintanilla-Domínguez, José Miguel Barrón-Adame, Diego Andina. softcomp 2011: 35-45 [doi]

WBCD breast cancer database classification applying artificial metaplasticity neural networkAlexis Marcano-Cedeño, Joel Quintanilla-Domínguez, Diego Andina. eswa, 38(8):9573-9579, 2011. [doi]

Breast cancer classification applying artificial metaplasticity algorithmAlexis Marcano-Cedeño, Joel Quintanilla-Domínguez, Diego Andina. ijon, 74(8):1243-1250, 2011. [doi]

A Prediction Model to Diabetes Using Artificial MetaplasticityAlexis Marcano-Cedeño, Joaquin Torres, Diego Andina. iwinac 2011: 418-425 [doi]

Artificial Metaplasticity Neural Network Applied to Credit ScoringAlexis Marcano-Cedeño, Amparo Marin de la Barcena, J. Jimenez-Trillo, J. A. Piñuela, Diego Andina. IJNS, 21(4):311-317, 2011. [doi]

Probabilistic versus Incremental Presynaptic Learning in Biologically Plausible SynapsesFrancisco Javier Ropero Peláez, Diego Andina. iwinac 2011: 80-89 [doi]

Improvement for detection of microcalcifications through clustering algorithms and artificial neural networksJoel Quintanilla-Domínguez, Benjamín Ojeda-Magaña, Alexis Marcano-Cedeño, Maria Guadalupe Cortina-Januchs, Antonio Vega-Corona, Diego Andina. ejasp, 2011:91, 2011. [doi]

Image segmentation by fuzzy and possibilistic clustering algorithms for the identification of microcalcificationsJoel Quintanilla-Domínguez, Benjamín Ojeda-Magaña, Maria Guadalupe Cortina-Januchs, Ruben Ruelas, Antonio Vega-Corona, Diego Andina. scira, 18(3):580-589, 2011. [doi]

Microcalcifications Detection Using PFCM and ANNAntonio Vega-Corona, Joel Quintanilla-Domínguez, B. Ojeda-Magaña, Maria Guadalupe Cortina-Januchs, Alexis Marcano-Cedeño, Ruben Ruelas, Diego Andina. mcpr2 2011: 260-268 [doi]

2010

Unmanned Aerial Vehicle route optimization using ant system algorithmAleksandar Jevtic, Diego Andina, Aldo Jaimes, Jose Gomez, Mo Jamshidi. sysose 2010: 1-6 [doi]

IT Security Management - IT Securiteers - Setting up an IT Security FunctionAlberto Partida, Diego Andina. Volume 61 of Lecture Notes in Electrical Engineering, Springer, 2010. [doi]

2009

Testing Artificial Metaplasticity in MLP ApplicationsDiego Andina, Alexis Marcano-Cedeño, Joaquin Torres, Martin J. Alarcon. SMC 2009: 4256-4261 [doi]

Special Issue: Signal Processing & Soft ComputingDiego Andina. iasc, 15(4):535-537, 2009. [doi]

Artificial Metaplasticity can Improve Artificial Neural Networks LearningDiego Andina, Antonio Álvarez-Vellisco, Aleksandar Jevtic, Juan Fombellida. iasc, 15(4):683-696, 2009. [doi]

Data fusion and neural network combination method for air pollution level monitoringJ. Miguel Barrón-Adame, Maria Guadalupe Cortina-Januchs, Antonio Vega-Corona, Diego Andina, J. I. Seijas Martinez-Echevarria. indin 2009: 522-527 [doi]

Pollution Alarm System in MexicoM. G. Cortina-Januchs, J. Miguel Barrón-Adame, Antonio Vega-Corona, Diego Andina. iwann 2009: 1336-1343 [doi]

Prevision of industrial SO2 pollutant concentration applying ANNsMaria Guadalupe Cortina-Januchs, J. Miguel Barrón-Adame, Antonio Vega-Corona, Diego Andina. indin 2009: 510-515 [doi]

Edge Detection Using Ant Colony Search Algorithm and Multiscale Contrast EnhancementAleksandar Jevtic, Joel Quintanilla-Domínguez, Maria Guadalupe Cortina-Januchs, Diego Andina. SMC 2009: 2193-2198 [doi]

Breast Cancer Classification Applying Artificial MetaplasticityAlexis Marcano-Cedeño, Fulgencio S. Buendía Buendía, Diego Andina. iwinac 2009: 48-54 [doi]

Artificial metaplasticity MLP applied to image classificationAlexis Marcano-Cedeño, Antonio Álvarez-Vellisco, Diego Andina. indin 2009: 650-653 [doi]

New Artificial Metaplasticity MLP Results on Standard Data BaseAlexis Marcano-Cedeño, Aleksandar Jevtic, Antonio Álvarez-Vellisco, Diego Andina. iwann 2009: 174-179 [doi]

A Greater Knowledge Extraction Coded as Fuzzy Rules and Based on the Fuzzy and Typicality Degrees of the GKPFCM Clustering AlgorithmBenjamín Ojeda-Magaña, Ruben Ruelas, Fulgencio S. Buendía Buendía, Diego Andina. iasc, 15(4):555-571, 2009. [doi]

Images sub-segmentation with the PFCM clustering algorithmBenjamín Ojeda-Magaña, Joel Quintanilla-Domínguez, Ruben Ruelas, Diego Andina. indin 2009: 499-503 [doi]

Quantifying Flow Paths in Clay Soils using Multifractal Dimension and Wavelet-Based Local SingularityJuan Antonio Piñuela-Izquierdo, Diego Andina, Joaquin Torres, Ana M. Tarquis. iasc, 15(4):605-617, 2009. [doi]

Edges Detection of Clusters of Microcalcifications with SOM and Coordinate Logic FiltersJ. Quintanilla-Domínguez, B. Ojeda-Magaña, Juan Seijas, Antonio Vega-Corona, Diego Andina. iwann 2009: 1029-1036 [doi]

Detection of Microcalcifications Using Coordinate Logic Filters and Artificial Neural NetworksJ. Quintanilla-Domínguez, M. G. Cortina-Januchs, J. Miguel Barrón-Adame, Antonio Vega-Corona, Fulgencio S. Buendía Buendía, Diego Andina. iwinac 2009: 179-187 [doi]

Feature extraction using coordinate logic filters and Artificial Neural NetworksJoel Quintanilla-Domínguez, M. Sanchez-Garcia, M. Gozalez-Romo, Antonio Vega-Corona, Diego Andina. indin 2009: 644-649 [doi]

Combination of Nonlinear Filters and ANN for Detection of Microcalcifications in Digitized MammographyJoel Quintanilla-Domínguez, Maria Guadalupe Cortina, J. Miguel Barrón-Adame, Antonio Vega-Corona, Diego Andina, Aleksandar Jevtic. SMC 2009: 1516-1520 [doi]

2007

2004

Improving GRNNs in CAD SystemsFulgencio S. Buendía Buendía, J. Miguel Barrón-Adame, Antonio Vega-Corona, Diego Andina. ica 2004: 160-167 [doi]

2003

2002

Importance Sampling and Mean Square Error in Neural Detector TrainingJosé L. Sanz-González, Diego Andina, Juan Seijas. npl, 16(3):259-276, 2002.

2001

Neyman-Pearson Neural DetectorsDiego Andina, José L. Sanz-González. iwann 2001: 111-118 [doi]

Detection of Microcalcifications in Mammograms by the Combination of a Neural Detector and Multiscale Feature EnhancementDiego Andina, Antonio Vega-Corona. iwann 2001: 385-392 [doi]

Importance Sampling Techniques in Neural Detector TrainingJosé L. Sanz-González, Diego Andina. ecml 2001: 431-441 [doi]

1999

Performance Analysis of Neural Network Detectors by Importance Sampling TechniquesJosé L. Sanz-González, Diego Andina. npl, 9(3):257-269, 1999.

Study of Two ANN Digital Implementations of a Radar Detector Candidate to an On-Board Satellite ExperimentRaoul Velazco, Ch. Godin, Ph. Cheynet, Santiago Torres-Alegre, Diego Andina, M. B. Gordon. iwann 1999: 615-624

1998

Speech compression with wavelet packetsRaquel Gómez Sánchez, Diego Andina, Joaquin Torres. icecsys 1998: 117-120 [doi]

1996

Comparison of a neural network detector vs Neyman-Pearson optimal detectorDiego Andina, José L. Sanz-González. icassp 1996: 3573-3576 [doi]

Optimization of a neural network applied to pulsed radar detectionDiego Andina, José L. Sanz-González. eusipco 1996: 1-4 [doi]

Quasi-optimum detection results using a neural networkDiego Andina, José L. Sanz-González. icnn 1996: 1929-1932 [doi]

1995

A comparison of criterion functions for a neural network applied to binary detectionDiego Andina, José L. Sanz-González, José A. Jiménez-Pajares. icnn 1995: 329-333 [doi]

Performance improvements for a neural network detectorDiego Andina, José L. Sanz-González, Octavio A. Rodríguez-Martín. icnn 1995: 492-495 [doi]

1993

Roundoff noise results on optimal and block-optimal digital filter structuresJosé L. Sanz-González, Francisco López-Ferreras, Diego Andina. iscas 1993: 611-614

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