Adriano Augusto

Orcid: 0000-0001-7970-5246

Affiliations:
  • University of Melbourne, Parkville, Australia


According to our database1, Adriano Augusto authored at least 25 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Special section of BPMDS'2021 business process improvement.
Softw. Syst. Model., December, 2023

2022
Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach.
IEEE Trans. Knowl. Data Eng., 2022

Process mining-driven analysis of COVID-19's impact on vaccination patterns.
J. Biomed. Informatics, 2022

The connection between process complexity of event sequences and models discovered by process mining.
Inf. Sci., 2022

Discovering data transfer routines from user interaction logs.
Inf. Syst., 2022

Why Do Banks Find Business Process Compliance so Challenging? An Australian Perspective.
Proceedings of the Business Process Management Forum, 2022

Advanced Process Discovery Techniques.
Proceedings of the Process Mining Handbook, 2022

2021
Optimization framework for DFG-based automated process discovery approaches.
Softw. Syst. Model., 2021

Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients.
CoRR, 2021

Efficient Checking of Temporal Compliance Rules Over Business Process Event Logs.
CoRR, 2021

Discovering executable routine specifications from user interaction logs.
CoRR, 2021

Detection of Statistically Significant Differences Between Process Variants Through Declarative Rules.
Proceedings of the Business Process Management Forum, 2021

2020
Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs.
Proceedings of the 2nd International Conference on Process Mining, 2020

Automated Discovery of Process Models with True Concurrency and Inclusive Choices.
Proceedings of the Process Mining Workshops, 2020

Automatic Repair of Same-Timestamp Errors in Business Process Event Logs.
Proceedings of the Business Process Management - 18th International Conference, 2020

Accurate and Efficient Discovery of Process Models from Event Logs (Extended Abstract).
Proceedings of the Best Dissertation Award, 2020

2019
Automated Discovery of Process Models from Event Logs: Review and Benchmark.
IEEE Trans. Knowl. Data Eng., 2019

Split miner: automated discovery of accurate and simple business process models from event logs.
Knowl. Inf. Syst., 2019

Discovering Automatable Routines from User Interaction Logs.
Proceedings of the Business Process Management Forum, 2019

Metaheuristic Optimization for Automated Business Process Discovery.
Proceedings of the Business Process Management - 17th International Conference, 2019

2018
Automated discovery of structured process models from event logs: The discover-and-structure approach.
Data Knowl. Eng., 2018

Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery.
Proceedings of the Business Process Management - 16th International Conference, 2018

2017
Split Miner: Discovering Accurate and Simple Business Process Models from Event Logs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Automated Discovery of Structured Process Models: Discover Structured vs. Discover and Structure.
Proceedings of the Conceptual Modeling - 35th International Conference, 2016

BPMN Miner 2.0: Discovering Hierarchical and Block-Structured BPMN Process Models.
Proceedings of the BPM Demo Track 2016 Co-located with the 14th International Conference on Business Process Management (BPM 2016), 2016


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