Titlebook: Artificial Intelligence in HCI; 3rd International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2022 The Editor(s) (if applicable)

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書目名稱Artificial Intelligence in HCI影響因子(影響力)




書目名稱Artificial Intelligence in HCI影響因子(影響力)學科排名




書目名稱Artificial Intelligence in HCI網(wǎng)絡公開度




書目名稱Artificial Intelligence in HCI網(wǎng)絡公開度學科排名




書目名稱Artificial Intelligence in HCI被引頻次




書目名稱Artificial Intelligence in HCI被引頻次學科排名




書目名稱Artificial Intelligence in HCI年度引用




書目名稱Artificial Intelligence in HCI年度引用學科排名




書目名稱Artificial Intelligence in HCI讀者反饋




書目名稱Artificial Intelligence in HCI讀者反饋學科排名

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ExMo: ,plainable AI ,del Using Inverse Frequency Decision Rules a qualitatively better model than BRL. Furthermore, ExMo demonstrates that the textual explanation can be provided in a human-friendly way so that the explanation can be easily understood by non-expert users. We validate ExMo on several datasets with different sizes to evaluate its efficacy. Experi

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A Model of?Adaptive Gamification in?Collaborative Location-Based Collecting Systemsnsidering the space-time behavior and challenge completion, a model for the different types of challenges applicable in CLCS, a model for the CLCS objectives and coverage, and a strategy for the application of Machine Learning techniques for adaptation.

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Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaceslity of CNN (a modified GoogLeNet architecture) and ANN models to predict visual perception per Aesthetics, Complexity, and Orderliness scales for about 2700 web UIs assessed by 137 users. Our results suggest that the ANN architecture produces smaller Mean Squared Error (MSE) for the training datase