activity
20152021
most citedAnti-Alignments -- Measuring The Precision of Process Models and Event Logs

13 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory

Anna Kalenkova, Josep Carmona, Artem Polyvyanyy +1

State-of-the-art process discovery methods construct free-choice process models from event logs. Consequently, the constructed models do not take into account indirect dependencies…

cs.LG2020

A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection

Bernat Coma-Puig, Josep Carmona

Implementing systems based on Machine Learning to detect fraud and other Non-Technical Losses (NTL) is challenging: the data available is biased, and the algorithms currently used…

cs.LG2019

Business Process Variant Analysis based on Mutual Fingerprints of Event Logs

Farbod Taymouri, Marcello La Rosa, Josep Carmona

Comparing business process variants using event logs is a common use case in process mining. Existing techniques for process variant analysis detect statistically-significant diffe…

cs.AI2019★ 13 cited

Anti-Alignments -- Measuring The Precision of Process Models and Event Logs

Thomas Chatain, Mathilde Boltenhagen, Josep Carmona

Processes are a crucial artefact in organizations, since they coordinate the execution of activities so that products and services are provided. The use of models to analyse the un…

cs.LO2015★ 9 cited

Unfolding-Based Process Discovery

Hernán Ponce-de-León, César Rodríguez, Josep Carmona +2

This paper presents a novel technique for process discovery. In contrast to the current trend, which only considers an event log for discovering a process model, we assume two addi…