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Titlebook: Knowledge Science, Engineering and Management; 15th International C Gerard Memmi,Baijian Yang,Meikang Qiu Conference proceedings 2022 The E

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41#
發(fā)表于 2025-3-28 16:16:46 | 只看該作者
42#
發(fā)表于 2025-3-28 20:21:15 | 只看該作者
MC Nets: A Compact Representation Scheme for?Large Cooperative Game Settingsalgorithm that reaches the proposed representation by exploiting the agents’ estimates over marginal contributions, along with their acceptable information loss, ., regarding these estimates. Then we introduce the notion of . of agents, and exploit it to . obtain an even more compact representation;
43#
發(fā)表于 2025-3-29 01:08:31 | 只看該作者
An Incentive-Compatible and?Efficient Mechanism for?Matching and?Pricing in?Ride-Sharingth drivers efficiently has become a key issue. Specifically, drivers are usually heterogeneous with different costs, and they may behave strategically (e.g. reveal their private cost information untruthfully) in order to make more profits. Drivers’ strategic behavior may lead to inefficient matching
44#
發(fā)表于 2025-3-29 05:35:01 | 只看該作者
MEOD: A Robust Multi-stage Ensemble Model Based on?Rank Aggregation and?Stacking for?Outlier Detectiisting outlier ensembles usually use certain fusion rules (majority voting, averaging) to aggregate base detectors, which results in relatively low model accuracy and robustness. To overcome this problem, in this research, we propose a robust Multi-stage Ensemble model based on rank aggregation and
45#
發(fā)表于 2025-3-29 08:21:24 | 只看該作者
MTN-Net: A Multi-Task Network for?Detection and?Segmentation of?Thyroid Nodules in?Ultrasound Images(CAD) systems. However, the diverse sizes of thyroid nodules in ultrasound images, nodules with complex internal textures, and multiple nodules pose many challenges for automatic detection and segmentation of thyroid nodules in ultrasound images. In this paper we propose a multi-task network based o
46#
發(fā)表于 2025-3-29 14:28:59 | 只看該作者
47#
發(fā)表于 2025-3-29 17:44:22 | 只看該作者
Conference proceedings 2022bmissions. The papers are organized in the following topical sections:.Volume I:.Knowledge Science with Learning and AI (KSLA).Volume II:.Knowledge Engineering Research and Applications (KERA).Volume III:.Knowledge Management with Optimization and Security (KMOS).
48#
發(fā)表于 2025-3-29 23:11:40 | 只看該作者
0302-9743 owledge Engineering Research and Applications (KERA).Volume III:.Knowledge Management with Optimization and Security (KMOS).978-3-031-10988-1978-3-031-10989-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
49#
發(fā)表于 2025-3-30 02:13:17 | 只看該作者
50#
發(fā)表于 2025-3-30 07:08:44 | 只看該作者
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