Marcello La Rosa

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University of Tartu

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qut

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The University of Melbourne

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Marlon Dumas
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Sarah M. Erfani
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∙ 06/26/2021

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

State-of-the-art process discovery methods construct free-choice process...

Anna Kalenkova, et al. ∙

∙ 06/25/2021

Discovering executable routine specifications from user interaction logs

Robotic Process Automation (RPA) is a technology to automate routine wor...

Volodymyr Leno, et al. ∙

∙ 05/15/2021

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction

Reducing cycle time is a recurrent concern in the field of business proc...

Zahra Dasht Bozorgi, et al. ∙

∙ 05/13/2021

Automated Discovery of Process Models with True Concurrency and Inclusive Choices

Enterprise information systems allow companies to maintain detailed reco...

Adriano Augusto, et al. ∙

∙ 02/15/2021

A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences

Event suffix and remaining time prediction are sequence to sequence lear...

Farbod Taymouri, et al. ∙

∙ 09/03/2020

Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs

This paper proposes an approach to analyze an event log of a business pr...

Zahra Dasht Bozorgi, et al. ∙

∙ 07/30/2020

Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Predication of Business Process Models

This paper proposes an encoder-decoder architecture grounded on Generati...

Farbod Taymouri, et al. ∙

∙ 05/07/2020

Detecting sudden and gradual drifts in business processes from execution traces

Business processes are prone to unexpected changes, as process workers m...

Abderrahmane Maaradji, et al. ∙

∙ 04/02/2020

Efficient Conformance Checking using Alignment Computation with Tandem Repeats

Conformance checking encompasses a body of process mining techniques whi...

Daniel Reißner, et al. ∙

∙ 03/25/2020

Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction

Predictive process monitoring aims to predict future characteristics of ...

Farbod Taymouri, et al. ∙

∙ 01/03/2020

Automated Discovery of Data Transformations for Robotic Process Automation

Robotic Process Automation (RPA) is a technology for automating repetiti...

Volodymyr Leno, et al. ∙

∙ 12/23/2019

Business Process Variant Analysis based on Mutual Fingerprints of Event Logs

Comparing business process variants using event logs is a common use cas...

Farbod Taymouri, et al. ∙

∙ 11/18/2019

Business Process Variant Analysis: Survey and Classification

Process variant analysis aims at identifying and addressing the differen...

Farbod Taymouri, et al. ∙

∙ 10/22/2019

Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components

Given a model of the expected behavior of a business process and an even...

Daniel Reißner, et al. ∙

∙ 09/20/2019

Process Query Language: Design, Implementation, and Evaluation

Organizations can benefit from the use of practices, techniques, and too...

Artem Polyvyanyy, et al. ∙

∙ 05/08/2018

Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring

Predictive business process monitoring methods exploit historical proces...

Ilya Verenich, et al. ∙

∙ 04/08/2018

Discovering Process Maps from Event Streams

Automated process discovery is a class of process mining methods that al...

Volodymyr Leno, et al. ∙

∙ 07/21/2017

Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Predictive business process monitoring refers to the act of making predi...

Irene Teinemaa, et al. ∙

∙ 12/07/2016

Predictive Business Process Monitoring with LSTM Neural Networks

Predictive business process monitoring methods exploit logs of completed...

Niek Tax, et al. ∙