Titlebook: Artificial Intelligence Research; Third Southern Afric Anban Pillay,Edgar Jembere,Aurona Gerber Conference proceedings 2022 The Editor(s) (

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書目名稱Artificial Intelligence Research影響因子(影響力)




書目名稱Artificial Intelligence Research影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence Research網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence Research網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence Research被引頻次




書目名稱Artificial Intelligence Research被引頻次學(xué)科排名




書目名稱Artificial Intelligence Research年度引用




書目名稱Artificial Intelligence Research年度引用學(xué)科排名




書目名稱Artificial Intelligence Research讀者反饋




書目名稱Artificial Intelligence Research讀者反饋學(xué)科排名

考古學(xué)

H. U. E. Thoden van Velzen,W. van Weteringtions required, but at a cost to generalisation. Moreover, naively regularising the Jacobian norm can make the ODE system more ill-conditioned, contrary to what is believed in the literature. As an alternative, we regularise the condition number of the Jacobian and observe a lower number of function

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WAIL

Other Peoples’ Religions are Absurd has on the in-game playstyle classification’s accuracy, prediction stability, and generalisability. We apply and test our framework using MiniDungeons, a rogue-like dungeon exploration game, and further evaluate our framework using a natural dataset containing human player action data from the plat

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Gloria Gabbianelli,Agnese Formicastically significant improvement in prediction accuracy, which confirms the effectiveness of including auxiliary information in a context-aware recommendation system. We report a 4% and 11% increase in the NDCG score for long and short user sequence datasets, respectively.

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Bumptious

https://doi.org/10.1007/978-3-662-36733-9amely boredom, confusion, frustration, and engagement. Dataset for Affective States in E-Environment (DAiSEE) was used to train, validate, and test the baseline model, which reported an accuracy of 86% on 4305 test samples. In the next stage, mappings between estimated affective states and learning

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