Marco Pegoraro

54 papers B 2C 1Journal 30Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction. CoRR Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst, Nicola Mazzocca
2025	J	`jnl`	Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction. Knowl. Based Syst. Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst, Nicola Mazzocca
2025	—	`conf`	Embedding FHIR in Medical PDF: A Migration Path for Interoperable Documentation. GMDS Jonas Bienzeisler, Alexander Kombeiz, Hauke Heidemeyer, Miriam Hertwig, Bernadett Erdmann, Marco Pegoraro, Saskia Ehrentreich, Patrick Andreas Eder, Jasmin Mosebach, Asarnusch Rashid, Raphael W. Majeed
2025	J	`jnl`	Implementation report on pioneering federated data access for the German National Emergency Department Data Registry. npj Digit. Medicine Jonas Bienzeisler, Alexander Kombeiz, Saskia Ehrentreich, Ronny Otto, Wiebke Schirrmeister, Marco Pegoraro, Dominik Brammen, Behrus Puladi, Rainer Röhrig, Raphael W. Majeed
2025	J	`jnl`	ProReco: A Process Discovery Recommender System. CoRR Tsung-Hao Huang, Tarek Junied, Marco Pegoraro, Wil M. P. van der Aalst
2024	—	`conf`	A Pipeline for the Usage of the Core Data Set of the Medical Informatics Initiative for Process Mining - A Technical Case Report. GMDS 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
2024	—	`conf`	Applying Process Mining on Scientific Workflows: A Case Study on High Performance Computing Data. Business Process Management Workshops Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst
2024	—	`conf`	Fast & Sound: Accelerating Synthesis-Rules-Based Process Discovery. BPMDS/EMMSAD@CAiSE Tsung-Hao Huang, Enzo Schneider, Marco Pegoraro, Wil M. P. van der Aalst
2024	J	`jnl`	OCEL (Object-Centric Event Log) 2.0 Specification. CoRR 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
2024	—	`conf`	ProReco: A Process Discovery Recommender System. CAiSE Forum Tsung-Hao Huang, Tarek Junied, Marco Pegoraro, Wil M. P. van der Aalst
2024	—	`conf`	Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study. BIOSTEC (2) Harry H. Beyel, Marlo Verket, Viki Peeva, Christian Rennert, Marco Pegoraro, Katharina Schütt, Wil M. P. van der Aalst, Nikolaus Marx
2024	J	`jnl`	Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study. CoRR Harry H. Beyel, Marlo Verket, Viki Peeva, Christian Rennert, Marco Pegoraro, Katharina Schütt, Wil M. P. van der Aalst, Nikolaus Marx
2024	—	`conf`	Ranking the Top-K Realizations of Stochastically Known Event Logs. ICPM Workshops Arvid Lepsien, Marco Pegoraro, Frederik Fonger, Dominic Langhammer, Milda Aleknonyte-Resch, Agnes Koschmider
2024	J	`jnl`	Ranking the Top-K Realizations of Stochastically Known Event Logs. CoRR Arvid Lepsien, Marco Pegoraro, Frederik Fonger, Dominic Langhammer, Milda Aleknonyte-Resch, Agnes Koschmider
2023	—	`conf`	An Uncertainty-Aware Event Log of Network Traffic. BPM (Demos / Resources Forum) Gal Engelberg, Moshe Hadad, Marco Pegoraro, Pnina Soffer, Ethan Hadar, Wil M. P. van der Aalst
2023	J	`jnl`	Applying Process Mining on Scientific Workflows: a Case Study. CoRR Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst
2023	—	`ed.`	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. CI4PM/PAI@WCCI Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis
2023	J	`jnl`	Performance-Preserving Event Log Sampling for Predictive Monitoring. CoRR Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2023	J	`jnl`	Performance-preserving event log sampling for predictive monitoring. J. Intell. Inf. Syst. Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2023	—	`conf`	SLURMminer: A Tool for SLURM System Analysis with Process Mining. BPM (Demos / Resources Forum) Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst
2022	J	`jnl`	A Web-Based Tool for Comparative Process Mining. CoRR Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Marco Pegoraro, Muhammad Abdullah, Rahim Bin Shahid, Qasim Sajid, Muhammad Usman Mansoor, Wil M. P. van der Aalst
2022	J	`jnl`	An XES Extension for Uncertain Event Data. CoRR Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2022	J	`jnl`	Analyzing Medical Data with Process Mining: a COVID-19 Case Study. CoRR Marco Pegoraro, Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
2022	J	`jnl`	Event Log Sampling for Predictive Monitoring. CoRR Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2022	J	`jnl`	Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques. CoRR Marco Pegoraro
2022	—	`conf`	Probabilistic and Non-deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques. CAiSE (Doctoral Consortium) Marco Pegoraro
2022	J	`jnl`	Process Mining on Uncertain Event Data. CoRR Marco Pegoraro
2022	—	`conf`	Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study. ICPM Workshops Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
2022	J	`jnl`	Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study. CoRR Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi, Harry H. Beyel, Viki Peeva, Paul Balfanz, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
2022	J	`jnl`	Process mining for healthcare: Characteristics and challenges. J. Biomed. Informatics 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
2022	J	`jnl`	Resolving Uncertain Case Identifiers in Interaction Logs: A User Study. CoRR Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst
2022	—	`conf`	Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. BPMDS/EMMSAD@CAiSE Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst
2022	J	`jnl`	Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. CoRR Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst
2021	—	`conf`	An XES Extension for Uncertain Event Data. BPM (PhD/Demos) Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2021	—	`conf`	Analyzing Medical Data with Process Mining: A COVID-19 Case Study. BIS (Workshops) Marco Pegoraro, Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Wil M. P. van der Aalst, Lukas Martin, Gernot Marx
2021	J	`jnl`	Conformance checking over uncertain event data. Inf. Syst. Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2021	—	`conf`	Event Log Sampling for Predictive Monitoring. ICPM Workshops Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
2021	B	`conf`	PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. Petri Nets Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2021	J	`jnl`	PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. CoRR Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2021	—	`conf`	Probability Estimation of Uncertain Process Trace Realizations. ICPM Workshops Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst
2021	J	`jnl`	Probability Estimation of Uncertain Process Trace Realizations. CoRR Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst
2021	—	`conf`	Process Mining on Uncertain Event Data (Extended Abstract). ICPM Doctoral Consortium / Demo Marco Pegoraro
2021	—	`conf`	Text-Aware Predictive Monitoring of Business Processes. BIS Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst
2021	J	`jnl`	Text-Aware Predictive Monitoring of Business Processes. CoRR Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst
2020	J	`jnl`	Conformance Checking over Uncertain Event Data. CoRR Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2020	—	`conf`	Efficient Construction of Behavior Graphs for Uncertain Event Data. BIS Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2020	J	`jnl`	Efficient Construction of Behavior Graphs for Uncertain Event Data. CoRR Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2020	J	`jnl`	Efficient Time and Space Representation of Uncertain Event Data. Algorithms Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2020	J	`jnl`	Efficient Time and Space Representation of Uncertain Event Data. CoRR Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2019	—	`conf`	Discovering Process Models from Uncertain Event Data. Business Process Management Workshops Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2019	J	`jnl`	Discovering Process Models from Uncertain Event Data. CoRR Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
2019	B	`conf`	Mining Uncertain Event Data in Process Mining. ICPM Marco Pegoraro, Wil M. P. van der Aalst
2019	J	`jnl`	Mining Uncertain Event Data in Process Mining. CoRR Marco Pegoraro, Wil M. P. van der Aalst
2012	C	`conf`	Local Search for Designing Noise-Minimal Rotorcraft Approach Trajectories. IAAI Robert A. Morris, K. Brent Venable, Marco Pegoraro, James Lindsay