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Titlebook: AI 2022: Advances in Artificial Intelligence; 35th Australasian Jo Haris Aziz,Débora Corrêa,Tim French Conference proceedings 2022 The Edit

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發(fā)表于 2025-3-21 18:33:43 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱AI 2022: Advances in Artificial Intelligence
期刊簡稱35th Australasian Jo
影響因子2023Haris Aziz,Débora Corrêa,Tim French
視頻videohttp://file.papertrans.cn/143/142767/142767.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: AI 2022: Advances in Artificial Intelligence; 35th Australasian Jo Haris Aziz,Débora Corrêa,Tim French Conference proceedings 2022 The Edit
影響因子This book constitutes the refereed proceedings of the 35th Australasian Joint Conference on Artificial Intelligence, AI 2022, which took place in Perth, WA, Australia, in December 5–8, 2022.?.The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representation and NLP; Machine Learning; Medical AI; Optimization; and Reinforcement Learning..
Pindex Conference proceedings 2022
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發(fā)表于 2025-3-21 22:46:02 | 只看該作者
Anh-Tu Hoang,Barbara Carminati,Elena Ferrarich are then explained by social and psychological theories. The findings can be used to help find compromising points between decision-maker and people affected by decisions so that both parties can reach for a balanced state in decision making.
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Conference proceedings 2022h, WA, Australia, in December 5–8, 2022.?.The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representation and NL
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發(fā)表于 2025-3-22 07:25:48 | 只看該作者
0302-9743 ce in Perth, WA, Australia, in December 5–8, 2022.?.The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representat
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https://doi.org/10.1007/978-3-030-21568-2momentum or Nesterov accelerated gradient is also studied. Numerical experiments show that the infinity norm can provide better performance in finite time gradient descent algorithms and give strong robustness under different network structures.
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Cezara Benegui,Radu Tudor Ionescu of this algorithm is in the utilisation of two swarms, one for classification by building a network of prototypes and one for discrimination mitigating using feature weighting. Experiments with well-known datasets in fairness learning show that the proposed methods can improve fairness while maintaining the classification performance.
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Zero-shot Personality Perception From Facial Imagesfshore wind energy to existing AC systems through MTDC grids;?.Includes an extensive treatment of onshore wind farms connected to LCC HVDC systems;.Provides a comprehensive analysis of offshore wind farms connected to VSC HVDC systems..978-3-030-03409-2
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