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Nikolaos Bakalos Ioannis Rallis Nikolaos Doulamis Anastasios Doulamis Athanasios Voulodimos Vassilios VescoukisBi-directional analysis Convolution Cultural heritages Deep learning Intangible cultural heritage Intangible cultural heritages Learning systems Long short-term memory Low-cost sensors machine learning Monitoring capabilities Motion Primitives Classification Motion analysis Motion primitives Processing layer Serious Game Serious games Visual information dance
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Xu, Y., Jiang, Y., Wu, Y., & Zhang, Y. (2021). Classifying Wu-Qing Couplets and General Couplets with Structural and Semantic Features. 12278 LNAI, 562-575. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-81197-6_48
Yang Xu Yuru Jiang Yu Wu Yuyao ZhangAttention mechanism Attention mechanisms Brain Classification (of information) Convolution convolutional neural network Convolutional neural networks Intangible cultural heritages Long short-term memory Long short-term memory network Memory network Semantic features Semantics Structural feature Text classification Text processing Traditional cultures
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Rallis, I., Bakalos, N., Doulamis, N., Doulamis, A., & Voulodimos, A. (2021). Bidirectional long short-term memory networks and sparse hierarchical modeling for scalable educational learning of dance choreographies. Visual Computer, 37, 47-62. https://doi.org/10.1007/s00371-019-01741-3 (Original work published jan)
Ioannis Rallis Nikolaos Bakalos Nikolaos Doulamis Anastasios Doulamis Athanasios VoulodimosBidirectional LSTM Brain Dance summarization Deep learning Educational learning Gesture recognition Hierarchical representation Identification procedure Intangible cultural heritage Intangible cultural heritages Learning systems Long short-term memory Pose identification Quantitative assessments Representative selection Serious games
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