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Influence of the data codification when applying evolving classifiers to develop spoken dialog systems.

, , , and . EALS, page 58-64. IEEE, (2014)

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An Approach to Sentiment Analysis for Mobile Speech Applications., , , and . FETLT, volume 9577 of Lecture Notes in Computer Science, page 96-107. Springer, (2015)Combining Several User Models to Improve and Adapt the Dialog Management Process in Spoken Dialog Systems., , , and . FETLT, volume 9577 of Lecture Notes in Computer Science, page 65-76. Springer, (2015)Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors., , and . Sensors, 13 (5): 5460-5477 (2013)ADANN: automatic design of artificial neural networks., , and . GECCO (Companion), page 1863-1870. ACM, (2008)A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers., , , and . EAIS, page 1-8. IEEE, (2014)Time series forecasting using Artificial Neural Networks vs. evolving models., , , and . EAIS, page 1-7. IEEE, (2014)Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging., , , , and . ICANN, volume 8131 of Lecture Notes in Computer Science, page 335-342. Springer, (2013)Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model., , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 210-221. Springer, (2017)Adaptive dialogue management using intent clustering and fuzzy rules., , , and . Expert Syst. J. Knowl. Eng., (2021)Opponent Modeling in RoboCup Soccer Simulation., , and . WAF, volume 855 of Advances in Intelligent Systems and Computing, page 303-316. Springer, (2018)