Federico Morán - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 23 from 23

2021

Analysis of Students' Behavior Through User Clustering in Online Learning Settings, Based on Self Organizing Maps Neural NetworksSoledad Delgado, Federico Morán, José Carlos San José, Daniel Burgos. access, 9:132592-132608, 2021. [doi]

2017

A SOM prototype-based cluster analysis methodologySoledad Delgado, Clara Higuera, Jorge Calle-Espinosa, Federico Morán, Francisco Montero. eswa, 88:14-28, 2017. [doi]

2015

A novel representation of genomic sequences for taxonomic clustering and visualization by means of self-organizing mapsSoledad Delgado, Federico Morán, Antonio Mora García, Juan Julián Merelo Guervós, Carlos Briones. bioinformatics, 31(5):736-744, 2015. [doi]

2013

Expert system for clustering prokaryotic species by their metabolic featuresClara Higuera, Gonzalo Pajares, Javier Tamames, Federico Morán. eswa, 40(15):6185-6194, 2013. [doi]

Modelling knowledge strategy for solving the DNA sequence annotation problem through CommonKADS methodologyDaniela Xavier, Federico Morán, Rubén Fuentes-Fernández, Gonzalo Pajares. eswa, 40(10):3943-3952, 2013. [doi]

2011

Tools-4-Metatool (T4M): Online suite of web-tools to process stoichiometric network analysis data from MetatoolDaniela Xavier, Sara Vázquez, Clara Higuera, Federico Morán, Francisco Montero. biosystems, 105(2):169-172, 2011. [doi]

2010

A Simple Self-Maintaining Metabolic System: Robustness, Autocatalysis, BistabilityGabriel Piedrafita, Francisco Montero, Federico Morán, María Luz Cárdenas, Athel Cornish-Bowden. ploscb, 6(8), 2010. [doi]

2009

On the Transition from Prebiotic to Proto-biological Membranes: From Self-assembly to Self-production Gabriel Piedrafita, Fabio Mavelli, Federico Morán, Kepa Ruiz-Mirazo. ecal 2011: 256-264 [doi]

2007

Clustering and Visualizing HIV Quasispecies Using Kohonen s Self-Organizing MapsAntonio Miguel Mora, Juan J. Merelo Guervós, C. Briones, Federico Morán, Juan Luís Jiménez Laredo. iwann 2007: 940-947 [doi]

2005

ECCB/JBI 2005Roderic Guigó, Federico Morán, Alfonso Valencia, Josep F. Abril. eccb 2005: 2 [doi]

2002

Delayed Response in Tracer Experiments and Fragment-Carrier Approach to Transit Time Distributions in Nonlinear Chemical kineticsMarcel O. Vlad, John Ross, Federico Morán, Yoel Rodriguez. IJBC, 12(11):2599-2618, 2002. [doi]

1999

A Self-Organizing Model for the Development of Ocular Dominance and Orientation Columns in the Virtual CortexE. M. Muro, Miguel A. Andrade, Pedro Isasi, Federico Morán. iwann 1999: 104-112

Designing a Simulation Model of a Self-Maintaining Cellular SystemKepa Ruiz-Mirazo, Alvaro Moreno, Federico Morán, Juli Peretó, Juan J. Merelo Guervós. ecal 1999: 379-388

1998

Automatic Classification of Biological Particles from Electron-microscopy Images Using Conventional and Genetic-algorithm Optimized Learning Vector QuantizationJuan J. Merelo Guervós, Alberto Prieto, Federico Morán, Roberto Marabini, José María Carazo. npl, 8(1):55-65, 1998.

1997

Receptive Field Map Development by Anti-Hebbian LearningMiguel A. Andrade, Federico Morán. NN, 10(6):1037-1052, 1997. [doi]

A GA-optimized Neural Network for Classification of Biological Particles from Electron-Microscopy ImagesJuan J. Merelo Guervós, Alberto Prieto, Federico Morán, Roberto Marabini, José María Carazo. iwann 1997: 1174-1182

Development of ::::On-Off:::: and ::::Off-On:::: Receptive Fields Using a Semistochastic ModelE. M. Muro, Pedro Isasi, Miguel A. Andrade, Federico Morán. iwann 1997: 35-43

1995

A Neural Network Model for Plasticity in Adult Striate CortexFederico Morán, Miguel A. Andrade. iwann 1995: 108-113

Compartimentation in Replicator ModelsJuan Carlos Nuño, Pablo Chacón, Alvaro Moreno, Federico Morán. ecal 1995: 116-127

1994

Proteinotopic feature mapsJuan J. Merelo Guervós, Miguel A. Andrade, Alberto Prieto, Federico Morán. ijon, 6(4):443-454, 1994.

1993

A Model for the Development of Neurons Selective to Visual Stimulus SizeMiguel A. Andrade, Federico Morán. iwann 1993: 24-29

Optimization of a Competitive Learning Neural Network by Genetic AlgorithmsJuan J. Merelo Guervós, M. Patón, Antonio Cañas, Alberto Prieto, Federico Morán. iwann 1993: 185-192

1991

Application of Vector Quantization Algorithms to Protein Classification and Secondary Structure ComputationJuan J. Merelo Guervós, Miguel A. Andrade, Carlos Ureña, Alberto Prieto, Federico Morán. iwann 1991: 415-421

Sign in or sign up to see more results.

runs on WebDSL