Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Deep learning models have achieved high performance across different domains, such as
medical decision-making, autonomous vehicles, decision support systems, among many …

Business process compliance is a key area of business process management and aims at
ensuring that processes obey to compliance constraints such as regulatory constraints or …

Abstract Predictive Process Analytics is becoming an essential aid for organizations,
providing online operational support of their processes. However, process stakeholders …

The use of sophisticated machine learning models for critical decision-making faces the
challenge that these models are often applied as a 'black-box'. This has led to an increased …

Process mining focuses on the analysis of event log data to build various process analytical
capabilities. Predictive process analytics has emerged as one of such key capabilities and it …

Predictive process analytics, often underpinned by deep learning techniques, is a newly
emerged discipline dedicated for providing business process intelligence in modern …

The growing interest in applying machine and deep learning algorithms in an Outcome-
Oriented Predictive Process Monitoring (OOPPM) context has recently fuelled a shift to use …

Predictive process monitoring (PPM) techniques have become a key element in both public
and private organizations by enabling crucial operational support of their business …

Predictive process analytics focuses on predicting the future states of running instances of a
business process. While advanced machine learning techniques have been used to …