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Marco Pegoraro 0001
Person information

- affiliation: RWTH Aachen University, Germany
Other persons with the same name
- Marco Pegoraro 0002 — University of Verona, Italy
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2020 – today
- 2023
- [e1]Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis:
Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), co-located with the IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18-23, 2022., Padua, Italy, July 18-23, 2022. CEUR Workshop Proceedings 3350, CEUR-WS.org 2023 [contents] - [i18]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 abs/2301.07624 (2023) - 2022
- [j3]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: 103994 (2022) - [c13]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: 173-187 - [c12]Marco Pegoraro:
Probabilistic and Non-deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques. CAiSE (Doctoral Consortium) 2022: 37-46 - [i17]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 abs/2202.04625 (2022) - [i16]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 abs/2204.00547 (2022) - [i15]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 abs/2204.01470 (2022) - [i14]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
An XES Extension for Uncertain Event Data. CoRR abs/2204.04135 (2022) - [i13]Marco Pegoraro:
Process Mining on Uncertain Event Data. CoRR abs/2204.04148 (2022) - [i12]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 abs/2204.04164 (2022) - [i11]Marco Pegoraro:
Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques. CoRR abs/2205.04827 (2022) - [i10]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 abs/2209.10897 (2022) - [i9]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 abs/2212.00009 (2022) - 2021
- [j2]Marco Pegoraro
, Merih Seran Uysal
, Wil M. P. van der Aalst:
Conformance checking over uncertain event data. Inf. Syst. 102: 101810 (2021) - [c11]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: 476-486 - [c10]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: 39-44 - [c9]Marco Pegoraro
, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst:
Text-Aware Predictive Monitoring of Business Processes. BIS 2021: 221-232 - [c8]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
An XES Extension for Uncertain Event Data. BPM (PhD/Demos) 2021: 116-120 - [c7]Marco Pegoraro:
Process Mining on Uncertain Event Data (Extended Abstract). ICPM Doctoral Consortium / Demo 2021: 1-2 - [c6]Marco Pegoraro
, Bianka Bakullari
, Merih Seran Uysal
, Wil M. P. van der Aalst
:
Probability Estimation of Uncertain Process Trace Realizations. ICPM Workshops 2021: 21-33 - [c5]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: 154-166 - [i8]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. CoRR abs/2103.05564 (2021) - [i7]Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst:
Text-Aware Predictive Monitoring of Business Processes. CoRR abs/2104.09962 (2021) - [i6]Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst:
Probability Estimation of Uncertain Process Trace Realizations. CoRR abs/2108.08615 (2021) - 2020
- [j1]Marco Pegoraro
, Merih Seran Uysal
, Wil M. P. van der Aalst
:
Efficient Time and Space Representation of Uncertain Event Data. Algorithms 13(11): 285 (2020) - [c4]Marco Pegoraro
, Merih Seran Uysal
, Wil M. P. van der Aalst
:
Efficient Construction of Behavior Graphs for Uncertain Event Data. BIS 2020: 76-88 - [i5]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Construction of Behavior Graphs for Uncertain Event Data. CoRR abs/2002.08225 (2020) - [i4]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Conformance Checking over Uncertain Event Data. CoRR abs/2009.14452 (2020) - [i3]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. CoRR abs/2010.00334 (2020)
2010 – 2019
- 2019
- [c3]Marco Pegoraro
, Merih Seran Uysal
, Wil M. P. van der Aalst
:
Discovering Process Models from Uncertain Event Data. Business Process Management Workshops 2019: 238-249 - [c2]Marco Pegoraro
, Wil M. P. van der Aalst
:
Mining Uncertain Event Data in Process Mining. ICPM 2019: 89-96 - [i2]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
:
Discovering Process Models from Uncertain Event Data. CoRR abs/1909.11567 (2019) - [i1]Marco Pegoraro, Wil M. P. van der Aalst:
Mining Uncertain Event Data in Process Mining. CoRR abs/1910.00089 (2019) - 2012
- [c1]Robert A. Morris, Kristen Brent Venable, Marco Pegoraro, James Lindsay:
Local Search for Designing Noise-Minimal Rotorcraft Approach Trajectories. IAAI 2012
Coauthor Index

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last updated on 2023-03-14 16:12 CET by the dblp team
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