Marco Pegoraro

According to our database, Marco Pegoraro authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Ranking the Top-K Realizations of Stochastically Known Event Logs.

Arvid Lepsien, Marco Pegoraro, Frederik Fonger, Dominic Langhammer, Milda Aleknonyte-Resch, Agnes Koschmider

CoRR, 2024

OCEL (Object-Centric Event Log) 2.0 Specification.

Alessandro Berti, István Koren, Jan Niklas Adams, Gyunam Park, Benedikt Knopp, Nina Graves, Majid Rafiei, Lukas Liß, Leah Tacke genannt Unterberg, Yisong Zhang, Christopher T. Schwanen, Marco Pegoraro, Wil M. P. van der Aalst

CoRR, 2024

A Pipeline for the Usage of the Core Data Set of the Medical Informatics Initiative for Process Mining - A Technical Case Report.

Hauke Heidemeyer, Leo Auhagen, Raphael W. Majeed, Marco Pegoraro, Jonas Bienzeisler, Viki Peeva, Harry H. Beyel, Rainer Röhrig, Wil M. P. van der Aalst, Behrus Puladi

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

ProReco: A Process Discovery Recommender System.

Tsung-Hao Huang, Tarek Junied, Marco Pegoraro, Wil M. P. van der Aalst

Proceedings of the Intelligent Information Systems, 2024

Fast & Sound: Accelerating Synthesis-Rules-Based Process Discovery.

Tsung-Hao Huang, Enzo Schneider, Marco Pegoraro, Wil M. P. van der Aalst

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2024

Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study.

Harry H. Beyel, Marlo Verket, Viki Peeva, Christian Rennert, Marco Pegoraro, Katharina Schütt, Wil M. P. van der Aalst, Nikolaus Marx

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Performance-preserving event log sampling for predictive monitoring.

Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

J. Intell. Inf. Syst., August, 2023

Applying Process Mining on Scientific Workflows: a Case Study.

Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst

CoRR, 2023

SLURMminer: A Tool for SLURM System Analysis with Process Mining.

Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst

Proceedings of the Best Dissertation Award, 2023

An Uncertainty-Aware Event Log of Network Traffic.

Gal Engelberg, Moshe Hadad, Marco Pegoraro, Pnina Soffer, Ethan Hadar, Wil M. P. van der Aalst

Proceedings of the Best Dissertation Award, 2023

2022

Process mining for healthcare: Characteristics and challenges.

Jorge Munoz-Gama, Niels Martin, Carlos Fernández-Llatas, Owen A. Johnson, Marcos Sepúlveda, Emmanuel Helm, Victor Galvez-Yanjari, Eric Rojas, Antonio Martinez-Millana, Davide Aloini, Ilaria Angela Amantea, Robert Andrews, Michael Arias, Iris Beerepoot, Elisabetta Benevento, Andrea Burattin, Daniel Capurro, Josep Carmona, Marco Comuzzi, Benjamin Dalmas, Rene de la Fuente, Chiara Di Francescomarino, Claudio Di Ciccio, Roberto Gatta, Chiara Ghidini, Fernanda Gonzalez-Lopez, Gema Ibáñez-Sánchez, Hilda B. Klasky, Angelina Prima Kurniati, Xixi Lu, Felix Mannhardt, Ronny Mans, Mar Marcos, Renata Medeiros de Carvalho, Marco Pegoraro, Simon K. Poon, Luise Pufahl, Hajo A. Reijers, Simon Remy, Stefanie Rinderle-Ma, Lucia Sacchi, Fernando Seoane, Minseok Song, Alessandro Stefanini, Emilio Sulis, Arthur H. M. ter Hofstede, Pieter J. Toussaint, Vicente Traver, Zoe Valero-Ramon, Inge van de Weerd, Wil M. P. van der Aalst, Rob J. B. Vanwersch, Mathias Weske, Moe Thandar Wynn, Francesca Zerbato

J. Biomed. Informatics, 2022

Resolving Uncertain Case Identifiers in Interaction Logs: A User Study.

Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst

CoRR, 2022

Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study.

Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx

CoRR, 2022

Process Mining on Uncertain Event Data.

Marco Pegoraro

CoRR, 2022

A Web-Based Tool for Comparative Process Mining.

Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Marco Pegoraro, Muhammad Abdullah, Rahim Bin Shahid, Qasim Sajid, Muhammad Usman Mansoor, Wil M. P. van der Aalst

CoRR, 2022

Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study.

Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx

Proceedings of the Process Mining Workshops, 2022

Probabilistic and Non-deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques.

Marco Pegoraro

Proceedings of the Doctoral Consortium Papers Presented at the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), Leuven, Belgium, June 6, 2022

Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data.

Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2022

2021

Conformance checking over uncertain event data.

Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst

Inf. Syst., 2021

Event Log Sampling for Predictive Monitoring.

Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

Probability Estimation of Uncertain Process Trace Realizations.

Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

Process Mining on Uncertain Event Data (Extended Abstract).

Marco Pegoraro

Proceedings of the ICPM Doctoral Consortium and Demo Track 2021 co-located with 3rd International Conference on Process Mining, 2021

An XES Extension for Uncertain Event Data.

Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst

Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to, 2021

Text-Aware Predictive Monitoring of Business Processes.

Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst

Proceedings of the 24th International Conference on Business Information Systems, 2021

Analyzing Medical Data with Process Mining: A COVID-19 Case Study.

Marco Pegoraro, Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx

Proceedings of the Business Information Systems Workshops, 2021

PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data.

Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst

Proceedings of the Application and Theory of Petri Nets and Concurrency, 2021

2020

Efficient Time and Space Representation of Uncertain Event Data.

Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst

Algorithms, 2020

Efficient Construction of Behavior Graphs for Uncertain Event Data.

Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst

Proceedings of the Business Information Systems - 23rd International Conference, 2020

2019

Mining Uncertain Event Data in Process Mining.

Marco Pegoraro, Wil M. P. van der Aalst

Proceedings of the International Conference on Process Mining, 2019

Discovering Process Models from Uncertain Event Data.

Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst

Proceedings of the Business Process Management Workshops, 2019

2012

Local Search for Designing Noise-Minimal Rotorcraft Approach Trajectories.

Robert A. Morris, Kristen Brent Venable, Marco Pegoraro, James Lindsay

Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012