Titlebook: Artificial Intelligence. ECAI 2023 International Workshops; XAI^3, TACTIFUL, XI- S?awomir Nowaczyk,Przemys?aw Biecek,Vania Dimitrov Confere

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書目名稱Artificial Intelligence. ECAI 2023 International Workshops影響因子(影響力)

書目名稱Artificial Intelligence. ECAI 2023 International Workshops影響因子(影響力)學科排名

書目名稱Artificial Intelligence. ECAI 2023 International Workshops網(wǎng)絡公開度

書目名稱Artificial Intelligence. ECAI 2023 International Workshops網(wǎng)絡公開度學科排名

書目名稱Artificial Intelligence. ECAI 2023 International Workshops被引頻次

書目名稱Artificial Intelligence. ECAI 2023 International Workshops被引頻次學科排名

書目名稱Artificial Intelligence. ECAI 2023 International Workshops年度引用

書目名稱Artificial Intelligence. ECAI 2023 International Workshops年度引用學科排名

書目名稱Artificial Intelligence. ECAI 2023 International Workshops讀者反饋

書目名稱Artificial Intelligence. ECAI 2023 International Workshops讀者反饋學科排名

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Evaluation of?Human-Understandability of?Global Model Explanations Using Decision Treestic and local explanation approaches are deemed interpretable and sufficient in many applications. However, in domains like healthcare, where end users are patients without AI or domain expertise, there is an urgent need for model explanations that are more comprehensible and instil trust in the mo

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Towards Explainable Deep Domain Adaptation Transfer learning and, in particular, domain adaptation allows to overcome this issue, by adapting the source model to a new target data distribution and therefore generalizing the knowledge from source to target domain. In this work, we present a method that makes the adaptation process more trans

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只看該作者 · 發(fā)表于 2025-3-23 01:12:42

Deep Reinforcement Learning of?Autonomous Control Actions to?Improve Bus-Service Regularityat buses operating on the same route start to catch up with each other, severely impacting the regularity and the quality of the service. Control actions such as Bus Holding and Stop Skipping can be used to regulate the service and adjust the headway between two buses. Traditionally, this phenomenon

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