Marco Pegoraro

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 44

Top Topics

Probability Estimation

Top Venues

BPMDS/EMMSAD@CAiSE

Publications

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
OCEL (Object-Centric Event Log) 2.0 Specification. CoRR (2024)
Tsung-Hao Huang, Enzo Schneider, Marco Pegoraro, Wil M. P. van der Aalst
Fast & Sound: Accelerating Synthesis-Rules-Based Process Discovery. BPMDS/EMMSAD@CAiSE (2024)
Harry H. Beyel, Marlo Verket, Viki Peeva, Christian Rennert, Marco Pegoraro, Katharina Schütt, Wil M. P. van der Aalst, Nikolaus Marx
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study. BIOSTEC (2) (2024)
Tsung-Hao Huang, Tarek Junied, Marco Pegoraro, Wil M. P. van der Aalst
ProReco: A Process Discovery Recommender System. CAiSE Forum (2024)
Harry H. Beyel, Marlo Verket, Viki Peeva, Christian Rennert, Marco Pegoraro, Katharina Schütt, Wil M. P. van der Aalst, Nikolaus Marx
Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study. CoRR (2024)
Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst
Applying Process Mining on Scientific Workflows: a Case Study. CoRR (2023)
Gal Engelberg, Moshe Hadad, Marco Pegoraro, Pnina Soffer, Ethan Hadar, Wil M. P. van der Aalst
An Uncertainty-Aware Event Log of Network Traffic. BPM (Demos / Resources Forum) (2023)
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Performance-Preserving Event Log Sampling for Predictive Monitoring. CoRR (2023)
Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst
SLURMminer: A Tool for SLURM System Analysis with Process Mining. BPM (Demos / Resources Forum) (2023)
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Performance-preserving event log sampling for predictive monitoring. J. Intell. Inf. Syst. 61 (1) (2023)
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
Process mining for healthcare: Characteristics and challenges. J. Biomed. Informatics 127 (2022)
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Event Log Sampling for Predictive Monitoring. CoRR (2022)
Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst
Resolving Uncertain Case Identifiers in Interaction Logs: A User Study. CoRR (2022)
Marco Pegoraro
Probabilistic and Non-deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques. CAiSE (Doctoral Consortium) (2022)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
An XES Extension for Uncertain Event Data. CoRR (2022)
Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study. ICPM Workshops (2022)
Marco Pegoraro
Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques. CoRR (2022)
Marco Pegoraro
Process Mining on Uncertain Event Data. CoRR (2022)
Marco Pegoraro, Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
Analyzing Medical Data with Process Mining: a COVID-19 Case Study. CoRR (2022)
Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Marco Pegoraro, Muhammad Abdullah, Rahim Bin Shahid, Qasim Sajid, Muhammad Usman Mansoor, Wil M. P. van der Aalst
A Web-Based Tool for Comparative Process Mining. CoRR (2022)
Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study. CoRR (2022)
Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. BPMDS/EMMSAD@CAiSE (2022)
Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. CoRR (2022)
Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst
Text-Aware Predictive Monitoring of Business Processes. CoRR (2021)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Conformance checking over uncertain event data. Inf. Syst. 102 (2021)
Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst
Probability Estimation of Uncertain Process Trace Realizations. CoRR (2021)
Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst
Text-Aware Predictive Monitoring of Business Processes. BIS (2021)
Marco Pegoraro, Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
Analyzing Medical Data with Process Mining: A COVID-19 Case Study. BIS (Workshops) (2021)
Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst
Probability Estimation of Uncertain Process Trace Realizations. ICPM Workshops (2021)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. CoRR (2021)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
An XES Extension for Uncertain Event Data. BPM (PhD/Demos) (2021)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. Petri Nets (2021)
Marco Pegoraro
Process Mining on Uncertain Event Data (Extended Abstract). ICPM Doctoral Consortium / Demo (2021)
Marco Pegoraro, Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani
Learning to generate shape from global-local spectra. CoRR (2021)
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Event Log Sampling for Predictive Monitoring. ICPM Workshops (2021)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Efficient Time and Space Representation of Uncertain Event Data. Algorithms 13 (11) (2020)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Efficient Construction of Behavior Graphs for Uncertain Event Data. CoRR (2020)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Conformance Checking over Uncertain Event Data. CoRR (2020)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Efficient Construction of Behavior Graphs for Uncertain Event Data. BIS (2020)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Efficient Time and Space Representation of Uncertain Event Data. CoRR (2020)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Discovering Process Models from Uncertain Event Data. CoRR (2019)
Marco Pegoraro, Wil M. P. van der Aalst
Mining Uncertain Event Data in Process Mining. ICPM (2019)
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Discovering Process Models from Uncertain Event Data. Business Process Management Workshops (2019)
Marco Pegoraro, Wil M. P. van der Aalst
Mining Uncertain Event Data in Process Mining. CoRR (2019)
Robert A. Morris, Kristen Brent Venable, Marco Pegoraro, James Lindsay
Local Search for Designing Noise-Minimal Rotorcraft Approach Trajectories. IAAI (2012)