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Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011.

, , and . Artif. Intell. Rev., 43 (2): 155-177 (2015)

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New techniques of artificial intelligence and data transformation for boosting classification algorithms performance, Νέες τεχνικές τεχνητής νοημοσύνης και μετασχηματισμού δεδομένων για την αύξηση απόδοσης αλγορίθμων ταξινόμησης. University of the Aegean, Greece, (2016)National Archive of PhD Theses: oai:10442/37448.Using an Automated Speech Emotion Recognition Technique to Explore the Impact of Bullying on Pupils Social Life., and . Panhellenic Conference on Informatics, page 18-22. IEEE Computer Society, (2011)A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance., , , and . EANN Workshops, page 11:1-11:5. ACM, (2015)Osteoporosis Detection Using Machine Learning Techniques and Feature Selection., , and . Int. J. Artif. Intell. Tools, (2014)Towards Emotion Recognition from Speech: Definition, Problems and the Materials of Research., and . Semantics in Adaptive and Personalized Services, volume 279 of Studies in Computational Intelligence, Springer, (2010)Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011., , and . Artif. Intell. Rev., 43 (2): 155-177 (2015)Interactive Serious Games for Cultural Heritage - A Real-Time Bouzouki Simulator for Exploring the History and Sounds of Rebetiko Music., , and . IMCL, volume 1192 of Advances in Intelligent Systems and Computing, page 606-617. Springer, (2019)Comparison of Different Classifiers for Emotion Recognition., and . Panhellenic Conference on Informatics, page 102-106. IEEE Computer Society, (2009)Classification of Psychosomatic's Symptoms of Depression: Iliou Versus PCA Preprocessing Methods., , , , , , , and . CAMAD, page 1-5. IEEE, (2020)Mutual information algorithms for optimal attribute selection in data driven partitions of databases., , and . Evol. Syst., 11 (3): 517-529 (2020)