Context-Aware Change Pattern Detection in Event Attributes of Recurring Activities
Towards a UML Profile for Designing Smart IoT Data-Centric Applications
An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems
Towards Designing Energy-Aware Cybersecurity Policies
Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline
Parsing causal models an instance segmentation approach
Visualising Personal Data Flows: Insights from a Case Study of Booking.com
Rsourcer: Scaling Feedback on Research Drafts
Recommining: Learning relations between event log characteristics and machine learning approaches for supporting predictive process monitoring
A Goal-Driven Approach to Support Decision-Making with Incomplete Information in Cyber Operations
Integrating IoT-Driven Events into Business Processes
Adaptive Task-oriented Chatbots Using Feature-based Knowledge Bases
An AI-based Writing Assistant for Legal Users
AIDA: A Tool for Resiliency in Smart Manufacturing
Conceptual Formalization of Massive Storage for Advancing Decision-making with Data Analytics
Towards Leveraging Tests to Identify Impacts of Metamodel and Code Co-evolution
Advancing IS Strategy for Natural History Museums with Method Engineering in the Digital Age
The KYKLOS Tool for Modeling Changing Capabilities.