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Diego Andina
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- affiliation: Technical University of Madrid, Spain
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2020 – today
- 2022
- [j32]José M. Ferrández
, Eduardo Fernández, Diego Andina
Introduction. Int. J. Neural Syst. 32(10): 2202001:1-2202001:2 (2022) - 2021
- [j31]Diego Andina
Editorial: The Art of Editing a High Impact Scientific Journal - The Case of IJNS. Int. J. Neural Syst. 31(12): 2103012:1-2103012:2 (2021) - 2020
- [j30]José Manuel Ferrández
Introduction. Int. J. Neural Syst. 30(7): 2002001:1 (2020) - [j29]Juan Fombellida, Irene Martín-Rubio, Santiago Torres-Alegre, Diego Andina
Tackling business intelligence with bioinspired deep learning. Neural Comput. Appl. 32(17): 13195-13202 (2020) - [j28]Santiago Torres-Alegre
AMSOM: artificial metaplasticity in SOM neural networks - application to MIT-BIH arrhythmias database. Neural Comput. Appl. 32(17): 13213-13220 (2020)
2010 – 2019
- 2019
- [j27]Benjamín Ojeda-Magaña
Images Sub-segmentation by Fuzzy and Possibilistic Clustering Algorithm. Computación y Sistemas 23(4) (2019) - [j26]Fulgencio S. Buendía Buendía, Gabriel Buendia Moya, Diego Andina
Determining geostrophic wind direction in a rainfall forecast expert system. Integr. Comput. Aided Eng. 26(1): 111-121 (2019) - [j25]José Manuel Ferrández
Introduction. Int. J. Neural Syst. 29(2): 1802001:1-1802001:2 (2019) - [j24]Juan Fombellida
KLN, a new biological koniocortex based unsupervised neural network: competitive results on credit scoring. Nat. Comput. 18(2): 265-273 (2019) - [c51]Santiago Torres-Alegre, Yasmine Benchaib, José Manuel Ferrández de Vicente
Application of Koniocortex-Like Networks to Cardiac Arrhythmias Classification. IWINAC (2) 2019: 264-273 - 2018
- [j23]Diego Andina
Introduction. Int. J. Neural Syst. 28(5): 1803001:1-1803001:2 (2018) - [j22]Benjamín Ojeda-Magaña
Improvement of the Image Sub-Segmentation for Identification and Differentiation of Atypical Regions. Int. J. Pattern Recognit. Artif. Intell. 32(1): 1860011:1-1860011:26 (2018) - [c50]Juan Fombellida, Diego Andina
Koniocortex-Like Network Application to Business Intelligence. WAC 2018: 1-5 - 2017
- [c49]Juan Fombellida, Francisco Javier Ropero Peláez, Diego Andina
Koniocortex-Like Network Unsupervised Learning Surpasses Supervised Results on WBCD Breast Cancer Database. IWINAC (2) 2017: 32-41 - [c48]Juan Fombellida, Martin J. Alarcon, Santiago Torres-Alegre, Diego Andina
Supervised Metaplasticity for Big Data: Application to Pollutant Concentrations Forecast. IWINAC (2) 2017: 374-383 - [c47]Fulgencio S. Buendía Buendía, Gabriel Buendia Moya, Diego Andina
Combining Multiscale Filtering and Neural Networks for Local Rainfall Forecast. IWINAC (2) 2017: 481-490 - 2016
- [j21]José M. Antón, Juan B. Grau, J. M. Cisneros
Discrete multi-criteria methods for lands use and conservation planning on La Colacha in Arroyos Menores (Río Cuarto, Province of Córdoba, Argentina). Ann. Oper. Res. 245(1-2): 315-336 (2016) - [j20]Francisco Javier Ropero Peláez, Mariana Antonia Aguiar Furucho
Intrinsic Plasticity for Natural Competition in Koniocortex-Like Neural Networks. Int. J. Neural Syst. 26(5): 1650040:1-1650040:17 (2016) - [j19]José Manuel Ferrández
Introduction. Int. J. Neural Syst. 26(7): 1602001:1-1602001:2 (2016) - 2015
- [j18]Diego Andina
Robustness of artificial metaplasticity learning algorithm. Neurocomputing 151: 49-54 (2015) - [c46]Santiago Torres-Alegre, Juan Fombellida, Juan Antonio Piñuela-Izquierdo, Diego Andina
Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database. IWINAC (1) 2015: 133-142 - [c45]Francisco Javier Ropero Peláez, Diego Andina
The Koniocortex-Like Network: A New Biologically Plausible Unsupervised Neural Network. IWINAC (1) 2015: 163-174 - [c44]Juan Fombellida, Santiago Torres-Alegre, Juan Antonio Piñuela-Izquierdo, Diego Andina
Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification. IWINAC (2) 2015: 399-408 - [c43]Irene Martín-Rubio
From Smart Grids to Business Intelligence, a Challenge for Bioinspired Systems. IWINAC (2) 2015: 439-450 - 2013
- [j17]Francisco Javier Ropero Peláez, Diego Andina
Do biological synapses perform probabilistic computations? Neurocomputing 114: 24-31 (2013) - [j16]Diego Andina
On the biological plausibility of artificial metaplasticity learning algorithm. Neurocomputing 114: 32-35 (2013) - [j15]Hui Li
Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms. Int. J. Syst. Sci. 44(8): 1409-1425 (2013) - [c42]Daniel Castello Paiva, Diego Andina
A Neural Network Simulation of Spreading Depression. IWINAC (1) 2013: 1-8 - [c41]Marta de Pablos Álvaro, Diego Andina
Robustness of Artificial Metaplasticity Learning to Erroneous Input Distribution Assumptions. IWINAC (1) 2013: 9-15 - [c40]Yasmine Benchaib, Alexis Marcano-Cedeño, Santiago Torres-Alegre, Diego Andina
Application of Artificial Metaplasticity Neural Networks to Cardiac Arrhythmias Classification. IWINAC (1) 2013: 181-190 - [c39]Leopoldo Gómez-Barba, Benjamín Ojeda-Magaña
ACO Using a MCDM Strategy for Route Finding in the City of Guadalajara, México. SOCO-CISIS-ICEUTE 2013: 61-70 - [c38]Ramón O. Guardado-Medina, Benjamín Ojeda-Magaña
Quality of Microcalcification Segmentation in Mammograms by Clustering Algorithms. SOCO-CISIS-ICEUTE 2013: 299-308 - 2012
- [j14]José Miguel Barrón-Adame
Unsupervised system to classify SO2 pollutant concentrations in Salamanca, Mexico. Expert Syst. Appl. 39(1): 107-116 (2012) - [j13]Aleksandar Jevtic
Distributed Bees Algorithm for Task Allocation in Swarm of Robots. IEEE Syst. J. 6(2): 296-304 (2012) - 2011
- [j12]Joel Quintanilla-Domínguez, Benjamín Ojeda-Magaña
Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks. EURASIP J. Adv. Signal Process. 2011: 91 (2011) - [j11]Alexis Marcano-Cedeño, Joel Quintanilla-Domínguez, Diego Andina
WBCD breast cancer database classification applying artificial metaplasticity neural network. Expert Syst. Appl. 38(8): 9573-9579 (2011) - [j10]Hui Li
Introduction. Int. J. Neural Syst. 21(4) (2011) - [j9]Alexis Marcano-Cedeño, Amparo Marin de la Barcena, Juan Jiménez-Trillo, Juan Antonio Piñuela-Izquierdo, Diego Andina
Artificial Metaplasticity Neural Network Applied to Credit Scoring. Int. J. Neural Syst. 21(4): 311-317 (2011) - [j8]Alexis Marcano-Cedeño, Joel Quintanilla-Domínguez, Diego Andina
Breast cancer classification applying artificial metaplasticity algorithm. Neurocomputing 74(8): 1243-1250 (2011) - [j7]Joel Quintanilla-Domínguez, Benjamín Ojeda-Magaña
Image segmentation by fuzzy and possibilistic clustering algorithms for the identification of microcalcifications. Sci. Iran. 18(3): 580-589 (2011) - [c37]Francisco Javier Ropero Peláez, Diego Andina
Probabilistic versus Incremental Presynaptic Learning in Biologically Plausible Synapses. IWINAC (1) 2011: 80-89 - [c36]Diego Andina
On the Biological Plausibility of Artificial Metaplasticity. IWINAC (1) 2011: 119-128 - [c35]Alexis Marcano-Cedeño, Joaquin Torres, Diego Andina:
A Prediction Model to Diabetes Using Artificial Metaplasticity. IWINAC (2) 2011: 418-425 - [c34]Antonio Vega-Corona, Joel Quintanilla-Domínguez, Benjamín Ojeda-Magaña
Microcalcifications Detection Using PFCM and ANN. MCPR 2011: 260-268 - [c33]Aleksandar Jevtic
Image Segmentation Using Ant System-Based Clustering Algorithm. SOCO 2011: 35-45 - 2010
- [b1]Alberto Partida, Diego Andina
IT Security Management - IT Securiteers - Setting up an IT Security Function. Lecture Notes in Electrical Engineering 61, Springer 2010, ISBN 978-90-481-8881-9, pp. 1-230 [contents] - [c32]Aleksandar Jevtic
Unmanned Aerial Vehicle route optimization using ant system algorithm. SoSE 2010: 1-6
2000 – 2009
- 2009
- [j6]Diego Andina:
Special Issue: Signal Processing & Soft Computing. Intell. Autom. Soft Comput. 15(4): 535-537 (2009) - [j5]Benjamín Ojeda-Magaña
A Greater Knowledge Extraction Coded as Fuzzy Rules and Based on the Fuzzy and Typicality Degrees of the GKPFCM Clustering Algorithm. Intell. Autom. Soft Comput. 15(4): 555-571 (2009) - [j4]Juan Antonio Piñuela-Izquierdo, Diego Andina, Joaquin Torres, Ana M. Tarquis
Quantifying Flow Paths in Clay Soils using Multifractal Dimension and Wavelet-Based Local Singularity. Intell. Autom. Soft Comput. 15(4): 605-617 (2009) - [j3]Diego Andina, Antonio Álvarez-Vellisco, Aleksandar Jevtic, Juan Fombellida:
Artificial Metaplasticity can Improve Artificial Neural Networks Learning. Intell. Autom. Soft Comput. 15(4): 683-696 (2009) - [c31]Benjamín Ojeda-Magaña
Images sub-segmentation with the PFCM clustering algorithm. INDIN 2009: 499-503 - [c30]Maria Guadalupe Cortina-Januchs, J. Miguel Barrón-Adame
Prevision of industrial SO2 pollutant concentration applying ANNs. INDIN 2009: 510-515 - [c29]J. Miguel Barrón-Adame
Data fusion and neural network combination method for air pollution level monitoring. INDIN 2009: 522-527 - [c28]Joel Quintanilla-Domínguez, M. Sanchez-Garcia, M. Gozalez-Romo, Antonio Vega-Corona, Diego Andina
Feature extraction using coordinate logic filters and Artificial Neural Networks. INDIN 2009: 644-649 - [c27]Alexis Marcano-Cedeño, Antonio Álvarez-Vellisco, Diego Andina:
Artificial metaplasticity MLP applied to image classification. INDIN 2009: 650-653 - [c26]Alexis Marcano-Cedeño, Aleksandar Jevtic
New Artificial Metaplasticity MLP Results on Standard Data Base. IWANN (1) 2009: 174-179 - [c25]Joel Quintanilla-Domínguez, Benjamín Ojeda-Magaña
Edges Detection of Clusters of Microcalcifications with SOM and Coordinate Logic Filters. IWANN (1) 2009: 1029-1036 - [c24]Maria Guadalupe Cortina-Januchs, J. Miguel Barrón-Adame
Pollution Alarm System in Mexico. IWANN (1) 2009: 1336-1343 - [c23]Alexis Marcano-Cedeño, Fulgencio S. Buendía Buendía, Diego Andina
Breast Cancer Classification Applying Artificial Metaplasticity. IWINAC (2) 2009: 48-54 - [c22]Joel Quintanilla-Domínguez, Maria Guadalupe Cortina-Januchs, J. Miguel Barrón-Adame
Detection of Microcalcifications Using Coordinate Logic Filters and Artificial Neural Networks. IWINAC (2) 2009: 179-187 - [c21]Joel Quintanilla-Domínguez, Maria Guadalupe Cortina, J. Miguel Barrón-Adame
Combination of Nonlinear Filters and ANN for Detection of Microcalcifications in Digitized Mammography. SMC 2009: 1516-1520 - [c20]Aleksandar Jevtic
Edge Detection Using Ant Colony Search Algorithm and Multiscale Contrast Enhancement. SMC 2009: 2193-2198 - [c19]Diego Andina
Testing Artificial Metaplasticity in MLP Applications. SMC 2009: 4256-4261 - 2007
- [c18]Alexandre Moreira Nascimento, Diego Andina, Francisco Javier Ropero Peláez:
Towards a Neural-Networks Based Therapy for Limbs Spasticity. IWINAC (1) 2007: 124-131 - [c17]Diego Andina, Aleksandar Jevtic
Error Weighting in Artificial Neural Networks Learning Interpreted as a Metaplasticity Model. IWINAC (1) 2007: 244-252 - [c16]J. Miguel Barrón-Adame
Air Pollutant Level Estimation Applying a Self-organizing Neural Network. IWINAC (2) 2007: 599-607 - 2005
- [i1]Jaime Gómez, Ignacio Melgar, Juan Seijas, Diego Andina:
Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines. CoRR abs/cs/0505051 (2005) - 2004
- [c15]Fulgencio S. Buendía Buendía, J. Miguel Barrón-Adame, Antonio Vega-Corona, Diego Andina:
Improving GRNNs in CAD Systems. ICA 2004: 160-167 - 2003
- [c14]Diego Andina, Santiago Torres-Alegre, Antonio Vega-Corona, Antonio Álvarez-Vellisco:
Advances in Neyman-Pearson Neural Detectors Design. IWANN (2) 2003: 249-256 - [c13]Juan Seijas, Carmen Morató, Diego Andina, Antonio Vega-Corona:
Improving the Efficiency of Multiple Sequence Alignment by Genetic Algorithms. IWANN (2) 2003: 361-368 - [c12]Antonio Vega-Corona, Antonio Álvarez-Vellisco, Diego Andina:
Feature Vectors Generation for Detection of Microcalcifications in Digitized Mammography Using Neural Networks. IWANN (2) 2003: 583-590 - 2002
- [j2]José L. Sanz-González, Diego Andina
Importance Sampling and Mean Square Error in Neural Detector Training. Neural Process. Lett. 16(3): 259-276 (2002) - 2001
- [c11]José L. Sanz-González, Diego Andina
Importance Sampling Techniques in Neural Detector Training. ECML 2001: 431-441 - [c10]Diego Andina
Neyman-Pearson Neural Detectors. IWANN (2) 2001: 111-118 - [c9]Diego Andina
Detection of Microcalcifications in Mammograms by the Combination of a Neural Detector and Multiscale Feature Enhancement. IWANN (2) 2001: 385-392
1990 – 1999
- 1999
- [j1]José L. Sanz-González, Diego Andina
Performance Analysis of Neural Network Detectors by Importance Sampling Techniques. Neural Process. Lett. 9(3): 257-269 (1999) - [c8]Raoul Velazco, Christelle Godin
Study of Two ANN Digital Implementations of a Radar Detector Candidate to an On-Board Satellite Experiment. IWANN (2) 1999: 615-624 - 1998
- [c7]Raquel Gómez-Sánchez, Diego Andina, Joaquin Torres:
Speech compression with wavelet packets. ICECS 1998: 117-120 - 1996
- [c6]Diego Andina, José L. Sanz-González:
Optimization of a neural network applied to pulsed radar detection. EUSIPCO 1996: 1-4 - [c5]Diego Andina, José L. Sanz-González:
Comparison of a neural network detector vs Neyman-Pearson optimal detector. ICASSP 1996: 3573-3576 - [c4]Diego Andina, José L. Sanz-González:
Quasi-optimum detection results using a neural network. ICNN 1996: 1929-1932 - 1995
- [c3]Diego Andina, José L. Sanz-González, José A. Jiménez-Pajares:
A comparison of criterion functions for a neural network applied to binary detection. ICNN 1995: 329-333 - [c2]Diego Andina, José L. Sanz-González, Octavio A. Rodríguez-Martín:
Performance improvements for a neural network detector. ICNN 1995: 492-495 - 1993
- [c1]José L. Sanz-González, Francisco López-Ferreras, Diego Andina:
Roundoff noise results on optimal and block-optimal digital filter structures. ISCAS 1993: 611-614
Coauthor Index
J. Miguel Barrón-Adame
aka: José Miguel Barrón-Adame
aka: José Miguel Barrón-Adame
Maria Guadalupe Cortina-Januchs
aka: Maria Guadalupe Cortina
aka: Maria Guadalupe Cortina
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