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Titlebook: Computational Collective Intelligence; 16th International C Ngoc Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk Conference proceedings 2024

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21#
發(fā)表于 2025-3-25 07:20:57 | 只看該作者
Aktienrechtliche Jahresabschlu?prüfungfor interpersonal emotion regulation using such human-like bots. The bot‘s multimodal interactions helped to regulate the human’s emotions by effects of emerging synchrony during the interaction even under less favorable situations such as poor individual emotion regulation capabilities.
22#
發(fā)表于 2025-3-25 07:58:05 | 只看該作者
23#
發(fā)表于 2025-3-25 12:55:31 | 只看該作者
Marktwirtschaft, Wettbewerb und Aktienrechtices has been carried out. The study has been conducted on the organizational social network, which is based on email communication among employees in a public organization. The results confirmed that considering weights between vertices leads to better predictions, regardless of the similarity measure applied.
24#
發(fā)表于 2025-3-25 17:33:22 | 只看該作者
25#
發(fā)表于 2025-3-25 23:34:23 | 只看該作者
Zusammenfassung, Implikationen und Ausblick,ence for the existence of delays, showing the differences among them in different island topologies, try to explain their nature and prepare to propose dedicated migration operators considering these observations.
26#
發(fā)表于 2025-3-26 03:06:47 | 只看該作者
Experimental Study on?Link Prediction in?Unweighted and?Weighted Time-Evolving Organizational Socialices has been carried out. The study has been conducted on the organizational social network, which is based on email communication among employees in a public organization. The results confirmed that considering weights between vertices leads to better predictions, regardless of the similarity measure applied.
27#
發(fā)表于 2025-3-26 04:57:57 | 只看該作者
28#
發(fā)表于 2025-3-26 09:15:54 | 只看該作者
29#
發(fā)表于 2025-3-26 13:16:47 | 只看該作者
30#
發(fā)表于 2025-3-26 16:47:18 | 只看該作者
Aktienemissionen und Kurseffekteains high success rates in environments with many malicious collectives, demonstrating robust scalability and reliability as the network expands. This research provides new insights into reputation systems in online environments and suggests directions for future progress in trust management with social networks.
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