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Application of deep belief networks in eeg-based dynamic music-emotion recognition., , и . IJCNN, стр. 881-888. IEEE, (2016)Active Mining., и . New Generation Comput., 25 (3): 201-202 (2007)Reinforcement learning for evolutionary distance metric learning systems improvement., , , , и . GECCO (Companion), стр. 155-156. ACM, (2018)IoT-based Emotion Recognition Robot to Enhance Sense of Community in Nursing Home., и . AAAI Spring Symposia, AAAI Press, (2018)Learning first-order rules from data with multiple parts: applications on mining chemical compound data., , , и . ICML, том 69 из ACM International Conference Proceeding Series, ACM, (2004)First-Order Rule Mining by Using Graphs Created from Temporal Medical Data., и . Active Mining, том 3430 из Lecture Notes in Computer Science, стр. 112-125. Springer, (2003)A Framework for Predicting Remaining Useful Life Curve of Rolling Bearings Under Defect Progression Based on Neural Network and Bayesian Method., , , , , и . IEEE Access, (2021)Familiarity effects in EEG-based emotion recognition., , , и . Brain Informatics, 4 (1): 39-50 (2017)Periodical Multi-secret Threshold Cryptosystems.. ASIACRYPT, том 1716 из Lecture Notes in Computer Science, стр. 363-377. Springer, (1999)Acquisition of Human Feelings in Music Arrangements., , и . IJCAI (1), стр. 268-273. Morgan Kaufmann, (1997)