粘
发表于 2025-3-28 14:59:07
0302-9743 ral activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction..978-3-030-29248-5978-3-030-29249-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
reperfusion
发表于 2025-3-28 20:40:03
OSHA and the Politics of Health Regulationen users and items. As these interaction graphs can be analyzed through social network analysis, we propose the use of link prediction techniques to find the most suitable explanatory cases for a recommended item.
painkillers
发表于 2025-3-28 22:56:15
David F. Wilson,William L. Rumseyosition based on knowledge obtained from earlier screening phases. This Candidate Ranking System (CRS) is based on Case-based Reasoning, combined with semantic data models. The systems performance is evaluated in conjunction with a large international Job company and a software company in an actual recruitment process.
不能逃避
发表于 2025-3-29 06:20:57
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场所
发表于 2025-3-29 10:34:49
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Obituary
发表于 2025-3-29 13:23:30
Linda F. Lucas,Benjamin M. Rigormilarity measure for argumentation schemes is investigated. With a range of experiments we demonstrate the strengths and weaknesses of the various methods and show that our methods can improve over our previous work. Our code is publicly available on GitHub.
秘密会议
发表于 2025-3-29 16:08:13
An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction en users and items. As these interaction graphs can be analyzed through social network analysis, we propose the use of link prediction techniques to find the most suitable explanatory cases for a recommended item.
娘娘腔
发表于 2025-3-29 22:02:16
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Needlework
发表于 2025-3-30 00:25:36
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欢腾
发表于 2025-3-30 04:02:58
Learning Workflow Embeddings to Improve the Performance of Similarity-Based Retrieval for Process-Oworkflows, which can be used to significantly speed-up the MAC retrieval phase. In an experimental evaluation in the domain of cooking workflows, we show that the presented approach outperforms two existing MAC/FAC approaches on the same data.