286 citations · 618 across the 21 of their papers we have counts for
21 papers
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles
Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini +1
Recent papers have introduced a novel approach to explain why a Predictive Process Monitoring (PPM) model for outcome-oriented predictions provides wrong predictions. Moreover, the…
Learning optimal policies from event logs through reinforcement learning: a comparison of deep and MDP-based approaches
Stefano Branchi, Andrei Buliga, Chiara Di Francescomarino +4
Prescriptive Process Monitoring is an emerging area within Process Mining that focuses on recommending actions to optimize business outcomes. Most existing works prescribe pre-defi…
Nirdizati: an Advanced Predictive Process Monitoring Toolkit
Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini +1
Predictive Process Monitoring is a field of Process Mining that aims at predicting how an ongoing execution of a business process will develop in the future using past process exec…
Leveraging pre-trained language models for conversational information seeking from text
Patrizio Bellan, Mauro Dragoni, Chiara Ghidini
Recent advances in Natural Language Processing, and in particular on the construction of very large pre-trained language representation models, is opening up new perspectives on th…
Computing unsatisfiable cores for LTLf specifications
Marco Roveri, Claudio Di Ciccio, Chiara Di Francescomarino +1
Linear-time temporal logic on finite traces (LTLf) is rapidly becoming a de-facto standard to produce specifications in many application domains (e.g., planning, business process m…
PET: An Annotated Dataset for Process Extraction from Natural Language Text
Patrizio Bellan, Han van der Aa, Mauro Dragoni +2
Process extraction from text is an important task of process discovery, for which various approaches have been developed in recent years. However, in contrast to other information…
Explainable Predictive Process Monitoring: A User Evaluation
Williams Rizzi, Marco Comuzzi, Chiara Di Francescomarino +4
Explainability is motivated by the lack of transparency of black-box Machine Learning approaches, which do not foster trust and acceptance of Machine Learning algorithms. This also…
Exploring Business Process Deviance with Sequential and Declarative Patterns
Giacomo Bergami, Chiara Di Francescomarino, Chiara Ghidini +2
Business process deviance refers to the phenomenon whereby a subset of the executions of a business process deviate, in a negative or positive way, with respect to {their} expected…
Process Extraction from Text: Benchmarking the State of the Art and Paving the Way for Future Challenges
Patrizio Bellan, Mauro Dragoni, Chiara Ghidini +2
The extraction of process models from text refers to the problem of turning the information contained in an unstructured textual process descriptions into a formal representation,i…
Process discovery on deviant traces and other stranger things
Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini +5
As the need to understand and formalise business processes into a model has grown over the last years, the process discovery research field has gained more and more importance, dev…
A formalisation of BPMN in Description Logics
Chiara Ghidini, Marco Rospocher, Luciano Serafini
In this paper we present a textual description, in terms of Description Logics, of the BPMN Ontology, which provides a clear semantic formalisation of the structural components of…
How do I update my model? On the resilience of Predictive Process Monitoring models to change
Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini +1
Existing well investigated Predictive Process Monitoring techniques typically construct a predictive model based on past process executions, and then use it to predict the future o…
Predictive Process Monitoring Methods: Which One Suits Me Best?
Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi +1
Predictive process monitoring has recently gained traction in academia and is maturing also in companies. However, with the growing body of research, it might be daunting for compa…
Incremental Predictive Process Monitoring: How to Deal with the Variability of Real Environments
Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi +2
A characteristic of existing predictive process monitoring techniques is to first construct a predictive model based on past process executions, and then use it to predict the futu…
Enhancing workflow-nets with data for trace completion
Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini +1
The growing adoption of IT-systems for modeling and executing (business) processes or services has thrust the scientific investigation towards techniques and tools which support mo…
Learning Hybrid Process Models From Events: Process Discovery Without Faking Confidence
Wil M. P. van der Aalst, Riccardo De Masellis, Chiara Di Francescomarino +1
Process discovery techniques return process models that are either formal (precisely describing the possible behaviors) or informal (merely a "picture" not allowing for any form of…
Using Recurrent Neural Network for Learning Expressive Ontologies
Giulio Petrucci, Chiara Ghidini, Marco Rospocher
Recently, Neural Networks have been proven extremely effective in many natural language processing tasks such as sentiment analysis, question answering, or machine translation. Aim…
Abducing Compliance of Incomplete Event Logs
Federico Chesani, Riccardo De Masellis, Chiara Di Francescomarino +4
The capability to store data about business processes execution in so-called Event Logs has brought to the diffusion of tools for the analysis of process executions and for the ass…
A Declarative Framework for Specifying and Enforcing Purpose-aware Policies
Riccardo De Masellis, Chiara Ghidini, Silvio Ranise
Purpose is crucial for privacy protection as it makes users confident that their personal data are processed as intended. Available proposals for the specification and enforcement…
Distributed First Order Logic
Chiara Ghidini, Luciano Serafini
Distributed First Order Logic (DFOL) has been introduced more than ten years ago with the purpose of formalising distributed knowledge-based systems, where knowledge about heteroge…
Predictive Monitoring of Business Processes
Fabrizio Maria Maggi, Chiara Di Francescomarino, Marlon Dumas +1
Modern information systems that support complex business processes generally maintain significant amounts of process execution data, particularly records of events corresponding to…