Predictive business process monitoring refers to the act of making predictions about the
future state of ongoing cases of a business process, based on their incomplete execution …

This paper presents a systematic literature review (SLR) on the explainability and
interpretability of machine learning (ML) models within the context of predictive process …

In semi-structured case-oriented business processes, the sequence of process steps is
determined by case workers based on available document content associated with a case …

Predictive process monitoring is concerned with the analysis of events produced during the
execution of a business process in order to predict as early as possible the final outcome of …

Process outcome prediction pertains to the classification of ongoing cases of (business)
processes into a given set of categorical outcomes. This field of research has seen a strong …

The problem of goal recognition requests to automatically infer an accurate probability
distribution over possible goals an autonomous agent is attempting to achieve in the …

IT service management processes are people intensive and collaborative by nature. There
is an emerging trend in IT service management applications, moving away from rigid …

Semi-structured processes are data-driven, human-centric, flexible processes whose
execution between instances can vary dramatically. Due to their unpredictability and data …

In this work, we investigate the use of exemplar SVMs (linear SVMs trained with one positive
example only and a vast collection of negative examples) as encoders that turn generic …

By applying machine learning algorithms, predictive business process monitoring (PBPM)
techniques provide an opportunity to counteract undesired outcomes of processes. An …