Javier Arroyo
Javier Arroyo
Associate Professor of Computer Sciences, Universidad Complutense de Madrid
E-mail confirmado em fdi.ucm.es
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Forecasting histogram time series with k-nearest neighbours methods
J Arroyo, C Maté
International Journal of Forecasting 25 (1), 192-207, 2009
1412009
Different approaches to forecast interval time series: a comparison in finance
J Arroyo, R Espínola, C Maté
Computational Economics 37 (2), 169-191, 2011
872011
Using BM25F for semantic search
JR Pérez-Agüera, J Arroyo, J Greenberg, JP Iglesias, V Fresno
Proceedings of the 3rd international semantic search workshop, 1-8, 2010
792010
iMLP: Applying multi-layer perceptrons to interval-valued data
AM San Roque, C Maté, J Arroyo, Á Sarabia
Neural Processing Letters 25 (2), 157-169, 2007
762007
Forecasting with interval and histogram data. Some financial applications
J Arroyo, G González-Rivera, C Maté
Handbook of empirical economics and finance, 247-280, 2010
732010
Model driven development and simulations with the INGENIAS agent framework
JJ Gómez-Sanz, CR Fernández, J Arroyo
Simulation Modelling Practice and Theory 18 (10), 1468-1482, 2010
562010
Asking the oracle: Introducing forecasting principles into agent-based modelling
S Hassan, J Arroyo, JM Galán Ordax, L Antunes, J Pavón Mestras
Journal of artificial societies and social simulation. 2013, V. 16, n. 3, 2013
512013
Time series modeling of histogram-valued data: The daily histogram time series of S&P500 intradaily returns
G Gonzalez-Rivera, J Arroyo
International Journal of Forecasting 28 (1), 20-33, 2012
502012
Smoothing methods for histogram‐valued time series: an application to value‐at‐risk
J Arroyo, G González‐Rivera, C Maté, AM San Roque
Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (2 …, 2011
442011
Introducing interval time series: Accuracy measures
J Arroyo, C Maté
COMPSTAT 2006, proceedings in computational statistics, 1139-1146, 2006
372006
Exponential smoothing methods for interval time series
J Arroyo, AM San Roque, C Maté, A Sarabia
Proceedings of the 1st European Symposium on Time Series Prediction, 231-240, 2007
282007
Fuzzy modeling of stock trading with fuzzy candlesticks
R Naranjo, J Arroyo, M Santos
Expert Systems with Applications 93, 15-27, 2018
262018
An instance-based learning approach for thresholding in crop images under different outdoor conditions
J Arroyo, M Guijarro, G Pajares
Computers and Electronics in Agriculture 127, 669-679, 2016
242016
Re-thinking simulation: a methodological approach for the application of data mining in agent-based modelling
J Arroyo, S Hassan, C Gutiérrez, J Pavón
Computational and Mathematical Organization Theory 16 (4), 416-435, 2010
242010
Teaching design patterns using a family of games
MA Gómez-Martín, G Jiménez-Díaz, J Arroyo
ACM SIGCSE Bulletin 41 (3), 268-272, 2009
242009
Métodos de predicción para series temporales de intervalos e histogramas
J Arroyo
Ph. D. Dissertation, Universidad Pontificia Comillas, Madrid, 2008
18*2008
Participation inequality in wikis: A temporal analysis using WikiChron.
A Serrano, J Arroyo, S Hassan
Proceedings of the 14th International Symposium on Open Collaboration …, 2018
172018
An intelligent trading system with fuzzy rules and fuzzy capital management
R Naranjo, A Meco, J Arroyo, M Santos
International Journal of Intelligent Systems 30 (8), 963-983, 2015
162015
Explainability of a machine learning granting scoring model in peer-to-peer lending
M Ariza, J Arroyo, A Caparrini, MJ Segovia
IEEE Access 8, 64873 - 64890, 2020
152020
Assessment of machine learning performance for decision support in venture capital investments
J Arroyo, F Corea, G Jimenez-Diaz, JA Recio-Garcia
IEEE Access 7, 124233-124243, 2019
152019
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Artigos 1–20