Titlebook: Complex Networks & Their Applications XII; Proceedings of The T Hocine Cherifi,Luis M. Rocha,Murat Donduran Conference proceedings 2024 The

Eschew

書目名稱Complex Networks & Their Applications XII影響因子(影響力)




書目名稱Complex Networks & Their Applications XII影響因子(影響力)學(xué)科排名




書目名稱Complex Networks & Their Applications XII網(wǎng)絡(luò)公開度




書目名稱Complex Networks & Their Applications XII網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Complex Networks & Their Applications XII被引頻次




書目名稱Complex Networks & Their Applications XII被引頻次學(xué)科排名




書目名稱Complex Networks & Their Applications XII年度引用




書目名稱Complex Networks & Their Applications XII年度引用學(xué)科排名




書目名稱Complex Networks & Their Applications XII讀者反饋




書目名稱Complex Networks & Their Applications XII讀者反饋學(xué)科排名

AWL

Too Overloaded to Use: An Adaptive Network Model of Information Overload During Smartphone App Usagegic use of attention resources. Furthermore, external factors, such as context and influence of the environment to use the apps, are included to model the usage decision of the agent. Simulations in two scenarios illustrate that the model captures expected dynamics of the phenomenon.

缺陷

兇殘

Conference proceedings 2024te on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover a wide range of theoretical topics such as networ

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https://doi.org/10.1007/978-3-322-85109-3). The obtained insights offer an understanding of group interaction dynamics. Future research may consider larger groups and more variations of synchrony detection functions to widen the obtained findings.

Heterodoxy

https://doi.org/10.1007/978-3-662-13030-8gic use of attention resources. Furthermore, external factors, such as context and influence of the environment to use the apps, are included to model the usage decision of the agent. Simulations in two scenarios illustrate that the model captures expected dynamics of the phenomenon.

Heterodoxy

紀(jì)念

VAN

minaret

Multilingual Hate Speech Detection Using Semi-supervised Generative Adversarial NetworkT. We managed to detect hate speech in Indo-European languages (in English, German, and Hindi) using only 20% labeled data from the HASOC2019 dataset. Our approach excelled in multilingual, zero-shot cross-lingual, and monolingual paradigms, achieving, on average, a 9.23% F1 score boost and 5.75% accuracy increase over baseline mBERT model.