Local Search for Designing Noise-Minimal Rotorcraft Approach Trajectories. - Robert A. Morris 001; Kristen Brent Venable; Marco Pegoraro 001; James Lindsay (IAAI, 2012)

Discovering Process Models from Uncertain Event Data. - Marco Pegoraro 001; Merih Seran Uysal; Wil M. P. van der Aalst (Business Process Management Workshops, 2019)

Mining Uncertain Event Data in Process Mining. - Marco Pegoraro 001; Wil M. P. van der Aalst (ICPM, 2019)

Efficient Construction of Behavior Graphs for Uncertain Event Data. - Marco Pegoraro 001; Merih Seran Uysal; Wil M. P. van der Aalst (BIS, 2020)

Efficient Time and Space Representation of Uncertain Event Data. - Marco Pegoraro 001; Merih Seran Uysal; Wil M. P. van der Aalst (Algorithms, 2020)

PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. - Marco Pegoraro 001; Merih Seran Uysal; Wil M. P. van der Aalst (Petri Nets, 2021)

Analyzing Medical Data with Process Mining: A COVID-19 Case Study. - Marco Pegoraro 001; Madhavi Bangalore Shankara Narayana; Elisabetta Benevento; Wil M. P. van der Aalst; Lukas Martin; Gernot Marx (BIS (Workshops), 2021)

Text-Aware Predictive Monitoring of Business Processes. - Marco Pegoraro 001; Merih Seran Uysal; David Benedikt Georgi; Wil M. P. van der Aalst (BIS, 2021)

An XES Extension for Uncertain Event Data. - Marco Pegoraro 001; Merih Seran Uysal; Wil M. P. van der Aalst (BPM (PhD/Demos), 2021)

Process Mining on Uncertain Event Data (Extended Abstract). - Marco Pegoraro 001 (ICPM Doctoral Consortium / Demo, 2021)

Probability Estimation of Uncertain Process Trace Realizations. - Marco Pegoraro 001; Bianka Bakullari; Merih Seran Uysal; Wil M. P. van der Aalst (ICPM Workshops, 2021)

Event Log Sampling for Predictive Monitoring. - Mohammadreza Fani Sani; Mozhgan Vazifehdoostirani; Gyunam Park; Marco Pegoraro 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (ICPM Workshops, 2021)

Conformance checking over uncertain event data. - Marco Pegoraro 001; Merih Seran Uysal; Wil M. P. van der Aalst (Inf. Syst., 2021)

Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. - Marco Pegoraro 001; Merih Seran Uysal; Tom-Hendrik Hülsmann; Wil M. P. van der Aalst (BPMDS/EMMSAD@CAiSE, 2022)

Probabilistic and Non-deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques. - Marco Pegoraro 001 (CAiSE (Doctoral Consortium), 2022)

Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study - Case Study. - Elisabetta Benevento; Marco Pegoraro 001; Mattia Antoniazzi; Harry H. Beyel; Viki Peeva; Paul Balfanz; Wil M. P. van der Aalst; Lukas Martin; Gernot Marx (ICPM Workshops, 2022)

A Web-Based Tool for Comparative Process Mining. - Madhavi Bangalore Shankara Narayana; Elisabetta Benevento; Marco Pegoraro 001; Muhammad Abdullah; Rahim Bin Shahid; Qasim Sajid; Muhammad Usman Mansoor; Wil M. P. van der Aalst (CoRR, 2022)

Process Mining on Uncertain Event Data. - Marco Pegoraro 001 (CoRR, 2022)

Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study. - Elisabetta Benevento; Marco Pegoraro 001; Mattia Antoniazzi; Harry H. Beyel; Viki Peeva; Paul Balfanz; Wil M. P. van der Aalst; Lukas Martin; Gernot Marx (CoRR, 2022)

Resolving Uncertain Case Identifiers in Interaction Logs: A User Study. - Marco Pegoraro 001; Merih Seran Uysal; Tom-Hendrik Hülsmann; Wil M. P. van der Aalst (CoRR, 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 001; Antonio Martinez-Millana; Davide Aloini; Ilaria Angela Amantea; Robert Andrews 001; et al. (J. Biomed. Informatics, 2022)

An Uncertainty-Aware Event Log of Network Traffic. - Gal Engelberg; Moshe Hadad; Marco Pegoraro 001; Pnina Soffer; Ethan Hadar; Wil M. P. van der Aalst (BPM (Demos / Resources Forum), 2023)

SLURMminer: A Tool for SLURM System Analysis with Process Mining. - Zahra Sadeghibogar; Alessandro Berti 001; Marco Pegoraro 001; Wil M. P. van der Aalst (BPM (Demos / Resources Forum), 2023)

Applying Process Mining on Scientific Workflows: a Case Study. - Zahra Sadeghibogar; Alessandro Berti 001; Marco Pegoraro 001; Wil M. P. van der Aalst (CoRR, 2023)

Performance-preserving event log sampling for predictive monitoring. - Mohammadreza Fani Sani; Mozhgan Vazifehdoostirani; Gyunam Park; Marco Pegoraro 001; Sebastiaan J. van Zelst; Wil M. P. van der Aalst (J. Intell. Inf. Syst., 2023)

Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study. - Harry H. Beyel; Marlo Verket; Viki Peeva; Christian Rennert; Marco Pegoraro 001; Katharina Schütt; Wil M. P. van der Aalst; Nikolaus Marx (BIOSTEC (2), 2024)

Applying Process Mining on Scientific Workflows: A Case Study on High Performance Computing Data. - Zahra Sadeghibogar; Alessandro Berti 001; Marco Pegoraro 001; Wil M. P. van der Aalst (Business Process Management Workshops, 2024)

Fast & Sound: Accelerating Synthesis-Rules-Based Process Discovery. - Tsung-Hao Huang; Enzo Schneider; Marco Pegoraro 001; Wil M. P. van der Aalst (BPMDS/EMMSAD@CAiSE, 2024)

ProReco: A Process Discovery Recommender System. - Tsung-Hao Huang; Tarek Junied; Marco Pegoraro 001; Wil M. P. van der Aalst (CAiSE Forum, 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 001; Jonas Bienzeisler; Viki Peeva; Harry H. Beyel; Rainer Röhrig; Wil M. P. van der Aalst; Behrus Puladi (GMDS, 2024)

Ranking the Top-K Realizations of Stochastically Known Event Logs. - Arvid Lepsien; Marco Pegoraro 001; Frederik Fonger; Dominic Langhammer; Milda Aleknonyte-Resch; Agnes Koschmider (ICPM Workshops, 2024)

OCEL (Object-Centric Event Log) 2.0 Specification. - Alessandro Berti 001; 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 001; et al. (CoRR, 2024)

Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction. - Francesco Vitale; Marco Pegoraro 001; Wil M. P. van der Aalst; Nicola Mazzocca (Knowl. Based Syst., 2025)

Implementation report on pioneering federated data access for the German National Emergency Department Data Registry. - Jonas Bienzeisler; Alexander Kombeiz; Saskia Ehrentreich; Ronny Otto; Wiebke Schirrmeister; Marco Pegoraro 001; Dominik Brammen; Behrus Puladi; Rainer Röhrig; Raphael W. Majeed (npj Digit. Medicine, 2025)