Titlebook: Business Process Management Workshops; BPM 2023 Internation Jochen De Weerdt,Luise Pufahl Conference proceedings 2024 The Editor(s) (if app

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HAUNT

Using Reinforcement Learning to?Optimize Responses in?Care Processes: A Case Study on?Aggression Incains, such as the loan application process and the traffic fine process. However, care processes tend to be more dynamic and complex. For example, at any stage of a care process, a multitude of actions is possible. In this paper, we follow the reinforcement approach and train a Markov decision proce

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ProtoNER: Few Shot Incremental Learning for?Named Entity Recognition Using Prototypical Networksanding and data extraction domain. Several transformer based models such as LayoutLMv2 [.], LayoutLMv3 [.], and LiLT [.] have emerged achieving state of the art results. However, addition of even a single new class to the existing model requires (a) re-annotation of entire training dataset to includ

Reverie

Experiences from the Internet-of-Production: Using “Data-Models-in-the-Middle” to?Fight Complexity ag at cross-domain collaboration in production while exploiting semantically adequate and context-aware data at different levels of granularity. The . (IoT), in the context of production also referred to as . or the Industrial Internet of Things, provides a wide range of data assets. However, these a

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Curmudgeon

An Object-Centric Approach to?Handling Concurrency in?IoT-Aware Processesnd activities that involve physical resources. Traditional approaches to handling concurrency in BPM systems are not suitable for automating IoT-aware processes due to novel challenges raised by the IoT. We propose to handle concurrency in IoT based on object-centric processes implemented in the PHI

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Generalize