| Forecasting histogram time series with k-nearest neighbours methods J Arroyo, C Maté International Journal of Forecasting 25 (1), 192-207, 2009 | 137 | 2009 |
| Different approaches to forecast interval time series: a comparison in finance J Arroyo, R Espínola, C Maté Computational Economics 37 (2), 169-191, 2011 | 84 | 2011 |
| 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 | 75 | 2010 |
| 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 | 74 | 2007 |
| 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 | 71 | 2010 |
| 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 | 55 | 2010 |
| Asking the oracle: Introducing forecasting principles into agent-based modelling S Hassan, J Arroyo, JM Galán, L Antunes, J Pavón Journal of Artificial Societies and Social Simulation 16 (3), 13, 2013 | 49 | 2013 |
| 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 | 47 | 2012 |
| 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 | 42 | 2011 |
| Introducing interval time series: Accuracy measures J Arroyo, C Maté COMPSTAT 2006, proceedings in computational statistics, 1139-1146, 2006 | 36 | 2006 |
| 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 | 27 | 2007 |
| Fuzzy modeling of stock trading with fuzzy candlesticks R Naranjo, J Arroyo, M Santos Expert Systems with Applications 93, 15-27, 2018 | 25 | 2018 |
| 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 | 23 | 2016 |
| 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 | 23 | 2010 |
| Teaching design patterns using a family of games MA Gómez-Martín, G Jiménez-Díaz, J Arroyo ACM SIGCSE Bulletin 41 (3), 268-272, 2009 | 22 | 2009 |
| 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 | 15 | 2018 |
| 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 | 15 | 2015 |
| An automated defect prediction framework using genetic algorithms: A validation of empirical studies J Murillo-Morera, C Castro-Herrera, J Arroyo, R Fuentes-Fernández Inteligencia Artificial 19 (57), 114-137, 2016 | 11 | 2016 |
| 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 | 8 | 2019 |
Carlos MatéUniversidad Pontificia ComillasVerified email at comillas.edu
