[HTML][HTML] Artificial intelligence in information systems research: A systematic literature review and research agenda
AI has received increased attention from the information systems (IS) research community in
recent years. There is, however, a growing concern that research on AI could experience a …
recent years. There is, however, a growing concern that research on AI could experience a …
[HTML][HTML] Explainable artificial intelligence in information systems: A review of the status quo and future research directions
The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …
phenomenon of global interest for academia, business, and society and brought about the …
Explainable artificial intelligence for process mining: A general overview and application of a novel local explanation approach for predictive process monitoring
N Mehdiyev, P Fettke - Interpretable artificial intelligence: A perspective of …, 2021 - Springer
The contemporary process-aware information systems possess the capabilities to record the
activities generated during the process execution. To leverage these process specific fine …
activities generated during the process execution. To leverage these process specific fine …
Building interpretable models for business process prediction using shared and specialised attention mechanisms
Predictive process analytics, often underpinned by deep learning techniques, is a newly
emerged discipline dedicated for providing business process intelligence in modern …
emerged discipline dedicated for providing business process intelligence in modern …
[HTML][HTML] Generating multi-level explanations for process outcome predictions
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 …
capabilities. Predictive process analytics has emerged as one of such key capabilities and it …
XNAP: making LSTM-based next activity predictions explainable by using LRP
Predictive business process monitoring (PBPM) is a class of techniques designed to predict
behaviour, such as next activities, in running traces. PBPM techniques aim to improve …
behaviour, such as next activities, in running traces. PBPM techniques aim to improve …
Modelling Service-Oriented Systems and Cloud Services with Heraklit
Modern and next generation digital infrastructures are technically based on service oriented
structures, cloud services, and other architectures that compose large systems from smaller …
structures, cloud services, and other architectures that compose large systems from smaller …
[HTML][HTML] Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective
N Mehdiyev, M Majlatow, P Fettke - Annals of Operations Research, 2024 - Springer
In the rapidly evolving landscape of manufacturing, the ability to make accurate predictions
is crucial for optimizing processes. This study introduces a novel framework that combines …
is crucial for optimizing processes. This study introduces a novel framework that combines …
Counterfactual explanations for predictive business process monitoring
Predictive business process monitoring increasingly leverages sophisticated prediction
models. Although sophisticated models achieve consistently higher prediction accuracy than …
models. Although sophisticated models achieve consistently higher prediction accuracy than …
Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring
Prescriptive business process monitoring provides decision support to process managers on
when and how to adapt an ongoing business process to prevent or mitigate an undesired …
when and how to adapt an ongoing business process to prevent or mitigate an undesired …