Titlebook: KI 2024: Advances in Artificial Intelligence; 47th German Conferen Andreas Hotho,Sebastian Rudolph Conference proceedings 2024 The Editor(s

bleach

Mechanisms for Data Sharing in Collaborative Causal Inferencem observational data contributed by the participants. The Data Valuation Scheme thus obtained can then be used to introduce mechanisms that incentivize the agents to contribute data. It can be leveraged to reward agents fairly, according to the quality of their data, or to maximize all agents’ data contributions.

正式演说

头脑冷静

陈腐的人

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Modelsto go from relational database to probabilistic relational model, which can then be used to sample new synthetic relational data points from its underlying probability distribution. As part of our proposed pipeline, we introduce a learning algorithm to construct a probabilistic relational model from a given relational database.

负担

Graph2RETA: Graph Neural Networks for Pick-up and Delivery Route Prediction and Arrival Time Estimatence into ETA prediction. Graph2RETA leverages rich decision context and spatial-temporal information to improve the prediction accuracy of the concurrent state-of-the-art while capturing dynamic interactions between workers and timesteps by incorporating the underlying graph structure and features.

烦人

SaVeWoT: Scripting and Verifying Web of Things Systems and Their Effects on the Physical Worldwith correctness specifications in Linear-time Temporal Logic (LTL) to automatically generate a Promela model, which is validated using the SPIN model checker. We demonstrate the feasibility of the SaVeWoT approach by verifying a conveyor belt system as an example and conducting an empirical evaluation.

彩色的蜡笔

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/k/image/541653.jpg

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喃喃而言

978-3-031-70892-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

Inflamed

KI 2024: Advances in Artificial Intelligence978-3-031-70893-0Series ISSN 0302-9743 Series E-ISSN 1611-3349