Roundoff noise results on optimal and block-optimal digital filter structures. - José L. Sanz-González; Francisco López-Ferreras; Diego Andina (ISCAS, 1993)

A comparison of criterion functions for a neural network applied to binary detection. - Diego Andina; José L. Sanz-González; José A. Jiménez-Pajares (ICNN, 1995)

Performance improvements for a neural network detector. - Diego Andina; José L. Sanz-González; Octavio A. Rodríguez-Martín (ICNN, 1995)

Optimization of a neural network applied to pulsed radar detection. - Diego Andina; José L. Sanz-González (EUSIPCO, 1996)

Comparison of a neural network detector vs Neyman-Pearson optimal detector. - Diego Andina; José L. Sanz-González (ICASSP, 1996)

Quasi-optimum detection results using a neural network. - Diego Andina; José L. Sanz-González (ICNN, 1996)

Speech compression with wavelet packets. - Raquel Gómez-Sánchez; Diego Andina; Joaquin Torres (ICECS, 1998)

Study of Two ANN Digital Implementations of a Radar Detector Candidate to an On-Board Satellite Experiment. - Raoul Velazco; Christelle Godin; Ph. Cheynet; Santiago Torres-Alegre; Diego Andina; Mirka B. Gordon (IWANN (2), 1999)

Performance Analysis of Neural Network Detectors by Importance Sampling Techniques. - José L. Sanz-González; Diego Andina (Neural Process. Lett., 1999)

Importance Sampling Techniques in Neural Detector Training. - José L. Sanz-González; Diego Andina (ECML, 2001)

Neyman-Pearson Neural Detectors. - Diego Andina; José L. Sanz-González (IWANN (2), 2001)

Detection of Microcalcifications in Mammograms by the Combination of a Neural Detector and Multiscale Feature Enhancement. - Diego Andina; Antonio Vega-Corona (IWANN (2), 2001)

Importance Sampling and Mean Square Error in Neural Detector Training. - José L. Sanz-González; Diego Andina; Juan Seijas (Neural Process. Lett., 2002)

Advances in Neyman-Pearson Neural Detectors Design. - Diego Andina; Santiago Torres-Alegre; Antonio Vega-Corona; Antonio Álvarez-Vellisco (IWANN (2), 2003)

Improving the Efficiency of Multiple Sequence Alignment by Genetic Algorithms. - Juan Seijas; Carmen Morató; Diego Andina; Antonio Vega-Corona (IWANN (2), 2003)

Feature Vectors Generation for Detection of Microcalcifications in Digitized Mammography Using Neural Networks. - Antonio Vega-Corona; Antonio Álvarez-Vellisco; Diego Andina (IWANN (2), 2003)

Improving GRNNs in CAD Systems. - Fulgencio S. Buendía Buendía; J. Miguel Barrón-Adame; Antonio Vega-Corona; Diego Andina (ICA, 2004)

Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines - Jaime Gómez; Ignacio Melgar; Juan Seijas; Diego Andina (CoRR, 2005)

Error Weighting in Artificial Neural Networks Learning Interpreted as a Metaplasticity Model. - Diego Andina; Aleksandar Jevtic; Alexis Marcano-Cedeño; J. Miguel Barrón-Adame (IWINAC (1), 2007)

Air Pollutant Level Estimation Applying a Self-organizing Neural Network. - J. Miguel Barrón-Adame; J. A. Herrera Delgado; Maria Guadalupe Cortina-Januchs; Diego Andina; Antonio Vega-Corona (IWINAC (2), 2007)

Towards a Neural-Networks Based Therapy for Limbs Spasticity. - Alexandre Moreira Nascimento; Diego Andina; Francisco Javier Ropero Peláez (IWINAC (1), 2007)

Data fusion and neural network combination method for air pollution level monitoring. - J. Miguel Barrón-Adame; Maria Guadalupe Cortina-Januchs; Antonio Vega-Corona; Diego Andina; J. I. Seijas Martinez-Echevarria (INDIN, 2009)

Prevision of industrial SO2 pollutant concentration applying ANNs. - Maria Guadalupe Cortina-Januchs; J. Miguel Barrón-Adame; Antonio Vega-Corona; Diego Andina (INDIN, 2009)

Artificial metaplasticity MLP applied to image classification. - Alexis Marcano-Cedeño; Antonio Álvarez-Vellisco; Diego Andina (INDIN, 2009)

Images sub-segmentation with the PFCM clustering algorithm. - Benjamín Ojeda-Magaña; Joel Quintanilla-Domínguez; Ruben Ruelas; Diego Andina (INDIN, 2009)

Feature extraction using coordinate logic filters and Artificial Neural Networks. - Joel Quintanilla-Domínguez; M. Sanchez-Garcia; M. Gozalez-Romo; Antonio Vega-Corona; Diego Andina (INDIN, 2009)

Pollution Alarm System in Mexico. - Maria Guadalupe Cortina-Januchs; J. Miguel Barrón-Adame; Antonio Vega-Corona; Diego Andina (IWANN (1), 2009)

New Artificial Metaplasticity MLP Results on Standard Data Base. - Alexis Marcano-Cedeño; Aleksandar Jevtic; Antonio Álvarez-Vellisco; Diego Andina (IWANN (1), 2009)

Edges Detection of Clusters of Microcalcifications with SOM and Coordinate Logic Filters. - Joel Quintanilla-Domínguez; Benjamín Ojeda-Magaña; Juan Seijas; Antonio Vega-Corona; Diego Andina (IWANN (1), 2009)

Breast Cancer Classification Applying Artificial Metaplasticity. - Alexis Marcano-Cedeño; Fulgencio S. Buendía Buendía; Diego Andina (IWINAC (2), 2009)

Detection of Microcalcifications Using Coordinate Logic Filters and Artificial Neural Networks. - Joel Quintanilla-Domínguez; Maria Guadalupe Cortina-Januchs; J. Miguel Barrón-Adame; Antonio Vega-Corona; Fulgencio S. Buendía Buendía; Diego Andina (IWINAC (2), 2009)

Testing Artificial Metaplasticity in MLP Applications. - Diego Andina; Alexis Marcano-Cedeño; Joaquin Torres; Martin J. Alarcon (SMC, 2009)

Edge Detection Using Ant Colony Search Algorithm and Multiscale Contrast Enhancement. - Aleksandar Jevtic; Joel Quintanilla-Domínguez; Maria Guadalupe Cortina-Januchs; Diego Andina (SMC, 2009)

Combination of Nonlinear Filters and ANN for Detection of Microcalcifications in Digitized Mammography. - Joel Quintanilla-Domínguez; Maria Guadalupe Cortina; J. Miguel Barrón-Adame; Antonio Vega-Corona; Diego Andina; Aleksandar Jevtic (SMC, 2009)

Special Issue: Signal Processing & Soft Computing. - Diego Andina (Intell. Autom. Soft Comput., 2009)

Artificial Metaplasticity can Improve Artificial Neural Networks Learning. - Diego Andina; Antonio Álvarez-Vellisco; Aleksandar Jevtic; Juan Fombellida (Intell. Autom. Soft Comput., 2009)

A Greater Knowledge Extraction Coded as Fuzzy Rules and Based on the Fuzzy and Typicality Degrees of the GKPFCM Clustering Algorithm. - Benjamín Ojeda-Magaña; Ruben Ruelas; Fulgencio S. Buendía Buendía; Diego Andina (Intell. Autom. Soft Comput., 2009)

Quantifying Flow Paths in Clay Soils using Multifractal Dimension and Wavelet-Based Local Singularity. - Juan Antonio Piñuela-Izquierdo; Diego Andina; Joaquin Torres; Ana M. Tarquis (Intell. Autom. Soft Comput., 2009)

Unmanned Aerial Vehicle route optimization using ant system algorithm. - Aleksandar Jevtic; Diego Andina; Aldo Jaimes; Jose F. Gomez; Mo M. Jamshidi (SoSE, 2010)

IT Security Management - IT Securiteers - Setting up an IT Security Function - Alberto Partida; Diego Andina (Springer, 2010)

On the Biological Plausibility of Artificial Metaplasticity. - Diego Andina; Francisco Javier Ropero Peláez (IWINAC (1), 2011)

A Prediction Model to Diabetes Using Artificial Metaplasticity. - Alexis Marcano-Cedeño; Joaquin Torres; Diego Andina (IWINAC (2), 2011)

Probabilistic versus Incremental Presynaptic Learning in Biologically Plausible Synapses. - Francisco Javier Ropero Peláez; Diego Andina (IWINAC (1), 2011)

Microcalcifications Detection Using PFCM and ANN. - Antonio Vega-Corona; Joel Quintanilla-Domínguez; Benjamín Ojeda-Magaña; Maria Guadalupe Cortina-Januchs; Alexis Marcano-Cedeño; Ruben Ruelas; Diego Andina (MCPR, 2011)

Image Segmentation Using Ant System-Based Clustering Algorithm. - Aleksandar Jevtic; Joel Quintanilla-Domínguez; José Miguel Barrón-Adame; Diego Andina (SOCO, 2011)

Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks. - Joel Quintanilla-Domínguez; Benjamín Ojeda-Magaña; Alexis Marcano-Cedeño; Maria Guadalupe Cortina-Januchs; Antonio Vega-Corona; Diego Andina (EURASIP J. Adv. Signal Process., 2011)

WBCD breast cancer database classification applying artificial metaplasticity neural network. - Alexis Marcano-Cedeño; Joel Quintanilla-Domínguez; Diego Andina (Expert Syst. Appl., 2011)

Introduction. - Hui Li 001; Melody Y. Kiang; Diego Andina (Int. J. Neural Syst., 2011)

Artificial Metaplasticity Neural Network Applied to Credit Scoring. - Alexis Marcano-Cedeño; Amparo Marin de la Barcena; Juan Jiménez-Trillo; Juan Antonio Piñuela-Izquierdo; Diego Andina (Int. J. Neural Syst., 2011)

Breast cancer classification applying artificial metaplasticity algorithm. - Alexis Marcano-Cedeño; Joel Quintanilla-Domínguez; Diego Andina (Neurocomputing, 2011)

Image segmentation by fuzzy and possibilistic clustering algorithms for the identification of microcalcifications. - Joel Quintanilla-Domínguez; Benjamín Ojeda-Magaña; Maria Guadalupe Cortina-Januchs; Ruben Ruelas; Antonio Vega-Corona; Diego Andina (Sci. Iran., 2011)

Unsupervised system to classify SO2 pollutant concentrations in Salamanca, Mexico. - José Miguel Barrón-Adame; Maria Guadalupe Cortina-Januchs; Antonio Vega-Corona; Diego Andina (Expert Syst. Appl., 2012)

Distributed Bees Algorithm for Task Allocation in Swarm of Robots. - Aleksandar Jevtic; Álvaro Gutiérrez; Diego Andina; Mo M. Jamshidi (IEEE Syst. J., 2012)

Robustness of Artificial Metaplasticity Learning to Erroneous Input Distribution Assumptions. - Marta de Pablos Álvaro; Diego Andina (IWINAC (1), 2013)

Application of Artificial Metaplasticity Neural Networks to Cardiac Arrhythmias Classification. - Yasmine Benchaib; Alexis Marcano-Cedeño; Santiago Torres-Alegre; Diego Andina (IWINAC (1), 2013)

A Neural Network Simulation of Spreading Depression. - Daniel Castello Paiva; Diego Andina; Francisco Javier Ropero Peláez (IWINAC (1), 2013)

ACO Using a MCDM Strategy for Route Finding in the City of Guadalajara, México. - Leopoldo Gómez-Barba; Benjamín Ojeda-Magaña; Ruben Ruelas; Diego Andina (SOCO-CISIS-ICEUTE, 2013)

Quality of Microcalcification Segmentation in Mammograms by Clustering Algorithms. - Ramón O. Guardado-Medina; Benjamín Ojeda-Magaña; Joel Quintanilla-Domínguez; Ruben Ruelas; Diego Andina (SOCO-CISIS-ICEUTE, 2013)

On the biological plausibility of artificial metaplasticity learning algorithm. - Diego Andina; Francisco Javier Ropero Peláez (Neurocomputing, 2013)

Do biological synapses perform probabilistic computations? - Francisco Javier Ropero Peláez; Diego Andina (Neurocomputing, 2013)

Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms. - Hui Li 001; Diego Andina; Jie Sun 002 (Int. J. Syst. Sci., 2013)

Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification. - Juan Fombellida; Santiago Torres-Alegre; Juan Antonio Piñuela-Izquierdo; Diego Andina (IWINAC (2), 2015)

From Smart Grids to Business Intelligence, a Challenge for Bioinspired Systems. - Irene Martín-Rubio; Antonio E. Florence-Sandoval; Juan Jiménez-Trillo; Diego Andina (IWINAC (2), 2015)

The Koniocortex-Like Network: A New Biologically Plausible Unsupervised Neural Network. - Francisco Javier Ropero Peláez; Diego Andina (IWINAC (1), 2015)

Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database. - Santiago Torres-Alegre; Juan Fombellida; Juan Antonio Piñuela-Izquierdo; Diego Andina (IWINAC (1), 2015)

Robustness of artificial metaplasticity learning algorithm. - Diego Andina; Santiago Torres-Alegre; Martin J. Alarcon; Juan Seijas; Marta de Pablos Álvaro (Neurocomputing, 2015)

Discrete multi-criteria methods for lands use and conservation planning on La Colacha in Arroyos Menores (Río Cuarto, Province of Córdoba, Argentina). - José M. Antón; Juan B. Grau; J. M. Cisneros; Ana M. Tarquis; F. V. Laguna; J. J. Cantero; Diego Andina; Elena Sánchez (Ann. Oper. Res., 2016)

Introduction. - José Manuel Ferrández; Diego Andina; Eduardo Fernández 001 (Int. J. Neural Syst., 2016)

Intrinsic Plasticity for Natural Competition in Koniocortex-Like Neural Networks. - Francisco Javier Ropero Peláez; Mariana Antonia Aguiar Furucho; Diego Andina (Int. J. Neural Syst., 2016)

Combining Multiscale Filtering and Neural Networks for Local Rainfall Forecast. - Fulgencio S. Buendía Buendía; Gabriel Buendia Moya; Diego Andina (IWINAC (2), 2017)

Supervised Metaplasticity for Big Data: Application to Pollutant Concentrations Forecast. - Juan Fombellida; Martin J. Alarcon; Santiago Torres-Alegre; Diego Andina (IWINAC (2), 2017)

Koniocortex-Like Network Unsupervised Learning Surpasses Supervised Results on WBCD Breast Cancer Database. - Juan Fombellida; Francisco Javier Ropero Peláez; Diego Andina (IWINAC (2), 2017)

Koniocortex-Like Network Application to Business Intelligence. - Juan Fombellida; Diego Andina (WAC, 2018)

Introduction. - Diego Andina; Kunihiko Fukushima; Francisco Javier Ropero Peláez; Duc Truong Pham (Int. J. Neural Syst., 2018)

Improvement of the Image Sub-Segmentation for Identification and Differentiation of Atypical Regions. - Benjamín Ojeda-Magaña; Joel Quintanilla-Domínguez; Ruben Ruelas; Leopoldo Gómez-Barba; Diego Andina (Int. J. Pattern Recognit. Artif. Intell., 2018)

Application of Koniocortex-Like Networks to Cardiac Arrhythmias Classification. - Santiago Torres-Alegre; Yasmine Benchaib; José Manuel Ferrández de Vicente; Diego Andina (IWINAC (2), 2019)

Images Sub-segmentation by Fuzzy and Possibilistic Clustering Algorithm. - Benjamín Ojeda-Magaña; Joel Quintanilla-Domínguez; Ruben Ruelas; José Miguel Barrón-Adame; Luis Enrique Barboza Niño; Rafael Guzmán-Cabrera; Diego Andina (Computación y Sistemas, 2019)

Determining geostrophic wind direction in a rainfall forecast expert system. - Fulgencio S. Buendía Buendía; Gabriel Buendia Moya; Diego Andina (Integr. Comput. Aided Eng., 2019)

KLN, a new biological koniocortex based unsupervised neural network: competitive results on credit scoring. - Juan Fombellida; Irene Martín-Rubio; A. Romera-Zarza; Diego Andina (Nat. Comput., 2019)

Introduction. - José Manuel Ferrández; Diego Andina; Juan Manuel Górriz (Int. J. Neural Syst., 2020)

Tackling business intelligence with bioinspired deep learning. - Juan Fombellida; Irene Martín-Rubio; Santiago Torres-Alegre; Diego Andina (Neural Comput. Appl., 2020)

AMSOM: artificial metaplasticity in SOM neural networks - application to MIT-BIH arrhythmias database. - Santiago Torres-Alegre; Juan Fombellida; Juan Antonio Piñuela-Izquierdo; Diego Andina (Neural Comput. Appl., 2020)

Editorial: The Art of Editing a High Impact Scientific Journal - The Case of IJNS. - Diego Andina (Int. J. Neural Syst., 2021)

Introduction. - José M. Ferrández; Eduardo Fernández 001; Diego Andina; Kazuyuki Murase (Int. J. Neural Syst., 2022)