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ORCIDFederico Montesino-Pouzols
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2010 – 2019
- 2015
[c11]Erica Yang, Derek Ross, Srikanth Nagella, Martin J. Turner
, Winfried Kockelmann, Genoveva Burca, Federico Montesino-Pouzols:
Data optimised computing for heterogeneous big data computing applications. IEEE BigData 2015: 2817-2819- 2012
- [j5]Federico Montesino-Pouzols, Angel Barriga Barros, Diego R. López, Santiago Sánchez-Solano:
Enabling fuzzy technologies in high performance networking via an open FPGA-based development platform. Appl. Soft Comput. 12(4): 1440-1450 (2012) - [j4]Federico Montesino-Pouzols, Amaury Lendasse:
Adaptive kernel smoothing regression for spatio-temporal environmental datasets. Neurocomputing 90: 59-65 (2012) - [c10]Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino-Pouzols:
Learning Deep Belief Networks from Non-stationary Streams. ICANN (2) 2012: 379-386 - 2011
- [b1]Federico Montesino-Pouzols, Diego R. López, Angel Barriga Barros:
Mining and Control of Network Traffic by Computational Intelligence. Studies in Computational Intelligence 342, Springer 2011, ISBN 978-3-642-18083-5, pp. 1-304 - [c9]Federico Montesino-Pouzols, Amaury Lendasse:
Adaptive kernel smoothing regression using vector quantization. EAIS 2011: 85-92 - [c8]Federico Montesino-Pouzols, Amaury Lendasse:
Adaptive Kernel Smoothing Regression for Spatio-Temporal Environmental Datasets. ESANN 2011 - 2010
- [j3]Federico Montesino-Pouzols, Amaury Lendasse:
Evolving fuzzy optimally pruned extreme learning machine for regression problems. Evol. Syst. 1(1): 43-58 (2010) - [j2]Federico Montesino-Pouzols, Amaury Lendasse, Angel Barriga Barros:
Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation. Fuzzy Sets Syst. 161(4): 471-497 (2010) - [j1]Federico Montesino-Pouzols, Angel Barriga Barros:
Automatic clustering-based identification of autoregressive fuzzy inference models for time series. Neurocomputing 73(10-12): 1937-1949 (2010) - [c7]Federico Montesino-Pouzols, Amaury Lendasse:
Evolving fuzzy Optimally Pruned Extreme Learning Machine: A comparative analysis. FUZZ-IEEE 2010: 1-8 - [c6]Federico Montesino-Pouzols, Amaury Lendasse:
Effect of different detrending approaches on computational intelligence models of time series. IJCNN 2010: 1-8
2000 – 2009
- 2008
- [c5]Federico Montesino-Pouzols, Amaury Lendasse, Angel Barriga:
Fuzzy inference based autoregressors for time series prediction using nonparametric residual variance estimation. FUZZ-IEEE 2008: 613-618 - [c4]Federico Montesino-Pouzols, Angel Barriga, Diego R. López, Santiago Sánchez-Solano:
Linguistic summarization of network traffic flows. FUZZ-IEEE 2008: 619-624 - 2006
- [c3]Federico Montesino-Pouzols, Diego R. López, Angel Barriga, Santiago Sánchez-Solano:
Fuzzy End-to-End Rate Control for Internet Transport Protocols. FUZZ-IEEE 2006: 1347-1354 - 2005
- [c2]Angel Barriga, Santiago Sánchez-Solano, Iluminada Baturone, Francisco Jose Moreno-Velo, Piedad Brox Jiménez, Federico Montesino-Pouzols, Nashaat M. Hussein, María Brox, Andrés Gersnoviez:
Fuzzy Logic Activities at the Microelectronics Institute of Seville. WIRN/NAIS 2005: 157-162 - 2004
- [c1]Federico Montesino-Pouzols:
Comparative Analysis of Active Bandwidth Estimation Tools. PAM 2004: 175-184
Coauthor Index
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