Titlebook: Intelligent Information Systems; CAiSE Forum 2023, Za Cristina Cabanillas,Francisca Pérez Conference proceedings 2023 The Editor(s) (if app

俗艷

新奇

謙虛的人

國家明智

The KYKLOS Tool for Modeling Changing Capabilities,siness capabilities. It is not uncommon for such methods to be complemented by tools which facilitate the user and often enhance the method with additional technical functionalities. In this paper, the homonymous tool is presented, which has been developed using the ADOxx meta-modeling platform and complements the previously developed method.

斗爭

,Context-Aware Change Pattern Detection in?Event Attributes of?Recurring?Activities,t. We have applied the technique on two real-world datasets, MIMIC-IV and Sepsis, representing hospital treatment processes, and show that the approach can provide novel insights. The approach is implemented in Python, based on the PM4Py framework.

大廳

,Towards a?UML Profile for?Designing Smart IoT Data-Centric Applications,he same sensor and the logic used to adapt the sending/sensing policies to sudden environmental changes. The profile is illustrated with reference to a case study in the context of smart agriculture and validated theoretically.

follicular-unit

Towards Designing Energy-Aware Cybersecurity Policies,opose a method for the energy-aware design of security policies. An estimation of the energy consumption of security goals will be calculated to allow the definition of security policies considering their energy consumption.

ESPY

,Parsing Causal Models – An Instance Segmentation Approach,rts in developing graph parsing tools by proposing a novel instance segmentation-based approach that leverages a new method to generate annotated synthetic graph images. Our solution is evaluated on a dataset of 166 images of structural equation models and outperforms existing graph parsing approaches in this use case.

使成整體

Adaptive Task-Oriented Chatbots Using Feature-Based Knowledge Bases,ly use user context, (ii) process runtime feedback, (iii) use user historical data, and (iv) automatically infer slot values and dependent actions. With this report, we expect to lay the groundwork for future development stages and user validation studies.

FLAIL