Titlebook: Rules and Reasoning; 5th International Jo Sotiris Moschoyiannis,Rafael Pe?aloza,Dumitru Roma Conference proceedings 2021 Springer Nature Sw

掩飾

書目名稱Rules and Reasoning影響因子(影響力)




書目名稱Rules and Reasoning影響因子(影響力)學(xué)科排名




書目名稱Rules and Reasoning網(wǎng)絡(luò)公開度




書目名稱Rules and Reasoning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Rules and Reasoning被引頻次




書目名稱Rules and Reasoning被引頻次學(xué)科排名




書目名稱Rules and Reasoning年度引用




書目名稱Rules and Reasoning年度引用學(xué)科排名




書目名稱Rules and Reasoning讀者反饋




書目名稱Rules and Reasoning讀者反饋學(xué)科排名

obtuse

Cervical-Spine

Policy-Based Automated Compliance CheckingFor the processing to be compliant, additional attributes, such as the purpose of processing or legal basis, should be verified against an established data processing agreement or policy. In this paper, we propose an automated policy-based compliance checking model and implement it using SHACL. We p

fidelity

Correctness of Automatically Generated Choreography Specificationsrvice-oriented applications and web transactions. Constraint solvers such as Alloy Analyzer can be used for the automated generation and verification of declarative choreography specifications. This presumes a mapping between the declarative specification of business rules in . (SBVR), an OMG standa

收藏品

Conflict-Free Access Rules for Sharing Smart Patient Health Recordsecords, establishing granular access rights to personal patient data. Access rules can establish what should be accessible by whom for how long, and comply with collective regulatory frameworks, such as the European General Data Protection Regulation (GDPR). The challenge is to design and implement

Factual

Structuring Rule Sets Using Binary Decision Diagramss that directly relate the input features to the target concept and are not able to discover intermediate concepts which might result in a more compact and interpretable theory. An analogous observation can also be made in electronic design automation where the task is to find the minimal representa

不能妥協(xié)

很是迷惑

irreducible

Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Imagesrmation for interventional and diagnostic tasks. Recent advancements in Deep Learning (DL), such as Convolutional Neural Networks (CNNs), have proved to be greatly promising in identifying anatomical and pathological structures, and in extracting meaningful patterns from huge amounts of data. Howeve

尊重