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Titlebook: Advances in Artificial Intelligence: From Theory to Practice; 30th International C Salem Benferhat,Karim Tabia,Moonis Ali Conference procee

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發(fā)表于 2025-3-21 19:06:56 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Artificial Intelligence: From Theory to Practice
期刊簡稱30th International C
影響因子2023Salem Benferhat,Karim Tabia,Moonis Ali
視頻videohttp://file.papertrans.cn/147/146778/146778.mp4
發(fā)行地址Includes supplementary material:
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Artificial Intelligence: From Theory to Practice; 30th International C Salem Benferhat,Karim Tabia,Moonis Ali Conference procee
影響因子The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. .The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI..
Pindex Conference proceedings 2017
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發(fā)表于 2025-3-21 21:51:51 | 只看該作者
Salem Benferhat,Karim Tabia,Moonis AliIncludes supplementary material:
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發(fā)表于 2025-3-22 00:32:22 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/146778.jpg
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發(fā)表于 2025-3-22 06:33:23 | 只看該作者
https://doi.org/10.1007/978-3-319-60045-1artificial intelligence; Bayesian networks; classifiers; computational linguistics; genetic algorithms; I
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發(fā)表于 2025-3-22 12:19:10 | 只看該作者
978-3-319-60044-4Springer International Publishing AG 2017
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發(fā)表于 2025-3-22 16:24:56 | 只看該作者
https://doi.org/10.1007/978-3-658-26419-2hools and in preserving cultural intangible heritages (performed by different famous folk dance masters). We propose a framework of automatic movement phrase annotation, in which the motion vectors are used as movement phrase features. Movement phrase classification can be carried out, based on danc
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發(fā)表于 2025-3-22 19:23:58 | 只看該作者
https://doi.org/10.1007/978-3-658-26419-2abeled by the user that generates it, models can be learned to accurately predict the user of an unknown trace. In online systems however, users may have several virtual identities, or duplicate labels. By ignoring them, the prediction accuracy drastically drops, as the set of all virtual identities
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發(fā)表于 2025-3-22 22:27:13 | 只看該作者
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發(fā)表于 2025-3-23 03:04:58 | 只看該作者
Diarmait Mac Giolla Chríost,Matteo BonottiThailand. This is particularly useful given the lack of teachers and tools for teaching dances. In order to build a software tool helping people learn Thai dances, the main problems are (i) how to represent the dance gestures and movements of the dance to teach, (ii) how to display it for the learne
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發(fā)表于 2025-3-23 09:18:13 | 只看該作者
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