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03/27/2023
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles
Recent papers have introduced a novel approach to explain why a Predicti...
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03/16/2023
Recommending the optimal policy by learning to act from temporal data
Prescriptive Process Monitoring is a prominent problem in Process Mining...
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10/18/2022
Nirdizati: an Advanced Predictive Process Monitoring Toolkit
Predictive Process Monitoring is a field of Process Mining that aims at ...
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03/31/2022
Leveraging pre-trained language models for conversational information seeking from text
Recent advances in Natural Language Processing, and in particular on the...
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03/29/2022
Learning to act: a Reinforcement Learning approach to recommend the best next activities
The rise of process data availability has led in the last decade to the ...
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03/09/2022
PET: A new Dataset for Process Extraction from Natural Language Text
Although there is a long tradition of work in NLP on extracting entities...
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03/09/2022
Computing unsatisfiable cores for LTLf specifications
Linear-time temporal logic on finite traces (LTLf) is rapidly becoming a...
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02/15/2022
Explainable Predictive Process Monitoring: A User Evaluation
Explainability is motivated by the lack of transparency of black-box Mac...
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11/24/2021
Exploring Business Process Deviance with Sequential and Declarative Patterns
Business process deviance refers to the phenomenon whereby a subset of t...
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10/07/2021
Process Extraction from Text: state of the art and challenges for the future
Automatic Process Discovery aims at developing algorithmic methodologies...
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09/30/2021
Process discovery on deviant traces and other stranger things
As the need to understand and formalise business processes into a model ...
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09/22/2021
A formalisation of BPMN in Description Logics
In this paper we present a textual description, in terms of Description ...
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09/08/2021
How do I update my model? On the resilience of Predictive Process Monitoring models to change
Existing well investigated Predictive Process Monitoring techniques typi...
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11/18/2020
What is a Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM
Business process modelling languages typically enable the representation...
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10/12/2019
What's My Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM
Business process modelling languages typically enable the representation...
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09/27/2019
Verification of data-aware workflows via reachability: formalisation and experiments
The growing adoption of IT-systems for the modelling and execution of (b...
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04/11/2018
Incremental Predictive Process Monitoring: How to Deal with the Variability of Real Environments
A characteristic of existing predictive process monitoring techniques is...
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04/06/2018
Predictive Process Monitoring Methods: Which One Suits Me Best?
Predictive process monitoring has recently gained traction in academia a...
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06/01/2017
Enhancing workflow-nets with data for trace completion
The growing adoption of IT-systems for modeling and executing (business)...
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07/14/2016
Using Recurrent Neural Network for Learning Expressive Ontologies
Recently, Neural Networks have been proven extremely effective in many n...
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06/17/2016
