Chiara Ghidini | DeepAI

AI Chat

Featured Co-authors

Marco Montali
42 publications
Simone Paolo Ponzetto
38 publications
Luciano Serafini
33 publications
Fabrizio Maria Maggi
23 publications
Chiara Di Francescomarino
17 publications
Claudio Di Ciccio
15 publications
Alexander Nolte
12 publications
Han van der Aa
8 publications
Riccardo De Masellis
7 publications
Federico Chesani
7 publications
Fredrik Milani
6 publications

∙ 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...

0 Williams Rizzi, et al. ∙

∙ 03/16/2023

Recommending the optimal policy by learning to act from temporal data

Prescriptive Process Monitoring is a prominent problem in Process Mining...

0 Stefano Branchi, et al. ∙

∙ 10/18/2022

Nirdizati: an Advanced Predictive Process Monitoring Toolkit

Predictive Process Monitoring is a field of Process Mining that aims at ...

0 Williams Rizzi, et al. ∙

∙ 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...

0 Patrizio Bellan, et al. ∙

∙ 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 ...

0 Stefano Branchi, et al. ∙

∙ 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...

0 Patrizio Bellan, et al. ∙

∙ 03/09/2022

Computing unsatisfiable cores for LTLf specifications

Linear-time temporal logic on finite traces (LTLf) is rapidly becoming a...

0 Marco Roveri, et al. ∙

∙ 02/15/2022

Explainable Predictive Process Monitoring: A User Evaluation

Explainability is motivated by the lack of transparency of black-box Mac...

0 Williams Rizzi, et al. ∙

∙ 11/24/2021

Exploring Business Process Deviance with Sequential and Declarative Patterns

Business process deviance refers to the phenomenon whereby a subset of t...

0 Giacomo Bergami, et al. ∙

∙ 10/07/2021

Process Extraction from Text: state of the art and challenges for the future

Automatic Process Discovery aims at developing algorithmic methodologies...

0 Patrizio Bellan, et al. ∙

∙ 09/30/2021

Process discovery on deviant traces and other stranger things

As the need to understand and formalise business processes into a model ...

0 Federico Chesani, et al. ∙

∙ 09/22/2021

A formalisation of BPMN in Description Logics

In this paper we present a textual description, in terms of Description ...

0 Chiara Ghidini, et al. ∙

∙ 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...

0 Williams Rizzi1, et al. ∙

∙ 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...

0 Greta Adamo, et al. ∙

∙ 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...

0 Greta Adamo, et al. ∙

∙ 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...

0 Riccardo De Masellis, et al. ∙

∙ 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...

0 Chiara Di Francescomarino, et al. ∙

∙ 04/06/2018

Predictive Process Monitoring Methods: Which One Suits Me Best?

Predictive process monitoring has recently gained traction in academia a...

0 Chiara Di Francescomarino, et al. ∙

∙ 06/01/2017

Enhancing workflow-nets with data for trace completion

The growing adoption of IT-systems for modeling and executing (business)...

0 Riccardo De Masellis, et al. ∙

∙ 07/14/2016

Using Recurrent Neural Network for Learning Expressive Ontologies

Recently, Neural Networks have been proven extremely effective in many n...

0 Giulio Petrucci, et al. ∙

∙ 06/17/2016

Abducing Compliance of Incomplete Event Logs

The capability to store data about business processes execution in so-ca...

0 Federico Chesani, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world