vrivas

Posición
Comité Científico
Descripción

PhD. in Computer Sciences

Professor at Departament of Computer Sciences

Phone: +34 953 21 23 44

Web: http://vrivas.es

ID ORCID

0000-0002-0681-7172

Publicaciones

A comparison of implementations of basic evolutionary algorithm operations in different languages , 2016 | Congreso DOI: 10.1109/CEC.2016.7743980 EID: 2-s2.0-85008253549
A radial basis function neural network-based coevolutionary algorithm for short-term to long-term time series forecasting , 2016 | Libro DOI: 10.1007/978-3-319-23392-5_7 EID: 2-s2.0-84947745784
Benchmarking languages for evolutionary algorithms , 2016 | Libro DOI: 10.1007/978-3-319-31153-1_3 EID: 2-s2.0-84962301760
Ranking the performance of compiled and interpreted languages in genetic algorithms , 2016 | Congreso EID: 2-s2.0-85006515680
Web browser-based forecasting of economic time-series , 2016 | Libro DOI: 10.1007/978-3-319-40111-9_5 EID: 2-s2.0-84976376855
Open classroom: Enhancing student achievement on artificial intelligence through an international online competition , 2015 | Artículo de revista DOI: 10.1111/jcal.12075 EID: 2-s2.0-84920835162
Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system , 2015 | Artículo de revista DOI: 10.1016/j.future.2016.11.021 EID: 2-s2.0-85007463588
An object-oriented library in Javascript to build modular and flexible cross-platform evolutionary algorithms , 2014 | Libro DOI: 10.1007/978-3-662-45523-4_69 EID: 2-s2.0-84915747714
Assessing different architectures for evolutionary algorithms in JavaScript , 2014 | Congreso DOI: 10.1145/2598394.2598460 EID: 2-s2.0-84905650028
NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScript , 2014 | Congreso DOI: 10.1145/2598394.2605688 EID: 2-s2.0-84905660139
Preface , 2014 | Libro EID: 2-s2.0-84927607163
Short, medium and long term forecasting of time series using the L-Co-R algorithm , 2014 | Artículo de revista DOI: 10.1016/j.neucom.2013.08.023 EID: 2-s2.0-84893663143
Studying individualized transit indicators using a new low-cost information system , 2014 | Libro DOI: 10.4018/978-1-4666-6194-3.ch016 EID: 2-s2.0-84945373770
The L-Co-R Co-evolutionary algorithm a comparative analysis in medium-term time-series forecasting problems , 2013 | Congreso EID: 2-s2.0-84887452460
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm , 2012 | Artículo de revista DOI: 10.1007/s00500-011-0784-2 EID: 2-s2.0-84861009134
Time series forecasting: Automatic determination of lags and radial basis neural networks for a changing horizon environment , 2010 | Congreso DOI: 10.1109/IJCNN.2010.5596797 EID: 2-s2.0-79959468164
A symbiotic CHC co-evolutionary algorithm for automatic RBF neural networks design , 2009 | Libro DOI: 10.1007/978-3-540-85863-8_79 EID: 2-s2.0-58149178885
Designing radial basis function neural networks with meta-evolutionary algorithms: The effect of chromosome codification , 2009 | Libro DOI: 10.1007/978-3-642-02481-8_6 EID: 2-s2.0-77952576327
E-tsRBF: Preliminary results on the simultaneous determination of time-lags and parameters of radial basis function neural networks for time series forecasting , 2009 | Congreso DOI: 10.1109/ISDA.2009.234 EID: 2-s2.0-77949518204
Enhanced radial basis function neural network design using parallel evolutionary algorithms , 2009 | Libro DOI: 10.1007/978-3-642-03969-0_25 EID: 2-s2.0-78049380901
KEEL: A software tool to assess evolutionary algorithms for data mining problems , 2009 | Artículo de revista DOI: 10.1007/s00500-008-0323-y EID: 2-s2.0-55549103698
Parallelizing the design of radial basis function neural networks by means of evolutionary meta-algorithms , 2009 | Libro DOI: 10.1007/978-3-642-02478-8_48 EID: 2-s2.0-68749083918
Study of the robustness of a meta-algorithm for the estimation of parameters in radial basis function neural networks design , 2009 | Artículo de revista EID: 2-s2.0-63149148341
Techniques of engineering applied to a non-structured data model , 2009 | Libro DOI: 10.1007/978-3-540-85863-8_48 EID: 2-s2.0-58149184011