Titlebook: Intelligent Information and Database Systems; 14th Asian Conferenc Ngoc Thanh Nguyen,Tien Khoa Tran,Edward Szczerbick Conference proceeding

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An Empirical Experiment on?Feature Extractions Based for?Speech Emotion Recognitionl assistants in order to give commands. This makes speech emotion recognition to be a serious problem in improving the service and the quality of virtual assistants. However, speech emotion recognition is not a straightforward task as emotion can be expressed through various features. Having a deep

JEER

Parameter Distribution Ensemble Learning for Sudden Concept Drift Detectioning problems. Model adaptation to changes in data distribution before making new predictions is very necessary. This paper proposes a novel ensemble method called E-ERICS, which combines multiple Bayesian-optimized ERICS models into one model and uses a voting mechanism to determine whether each ins

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Urea508

A Novel Neural Network Training Method for?Autonomous Driving Using Semi-Pseudo-Labels and?3D Data Araining data with sufficient quality and quantity is expensive and sometimes impossible due to human and sensor constraints. Therefore, a novel solution is needed for extending current training methods to overcome this limitation and enable accurate 3D object detection. Our solution for the above-me

LIMN

Conference proceedings 2022Minh City, Vietnam in November 2022..The 113 full papers accepted for publication in these proceedings were carefully reviewed and selected from 406 submissions. The papers of the 2 volume-set are organized in the following topical sections: data mining and machine learning methods, advanced data mi

激勵(lì)

Conference proceedings 2022ging and vision, decision support and control systems, and data modeling and processing for industry 4.0. The accepted and presented papers focus on new trends and challenges facing the intelligent information and database systems community..