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ORCIDMarco Pegoraro 0001
Person information
- affiliation: RWTH Aachen University, Germany
Other persons with the same name
- Marco Pegoraro 0002
![[0000-0001-5690-8403]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5690-8403")
— Sapienza University of Rome, Italy
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2020 – today
- 2024
[c20]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: 506-515- [c19]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: 259-274 - [c18]Tsung-Hao Huang, Tarek Junied, Marco Pegoraro, Wil M. P. van der Aalst:
ProReco: A Process Discovery Recommender System. CAiSE Forum 2024: 93-101 - [c17]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:
A Pipeline for the Usage of the Core Data Set of the Medical Informatics Initiative for Process Mining - A Technical Case Report. GMDS 2024: 30-39 - [i21]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 abs/2403.01975 (2024) - [i20]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 abs/2403.10544 (2024) - 2023
- [j4]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): 53-82 (2023) - [c16]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: 67-71 - [c15]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: 97-101 - [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] - [i19]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) - [i18]Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst:
Applying Process Mining on Scientific Workflows: a Case Study. CoRR abs/2307.02833 (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) - [c14]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 - [c13]Marco Pegoraro:
Probabilistic and Non-deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques. CAiSE (Doctoral Consortium) 2022: 37-46 - [c12]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: 315-327 - [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: 2311-2316
Coauthor Index
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last updated on 2024-10-23 21:28 CEST by the dblp team
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