Enabling Event-data Analysis in R - Demonstration. - Gert Janssenswillen; Marijke Swennen; Benoît Depaire; Mieke Jans (SIMPDA, 2015)

Capturing Process Behavior with Log-Based Process Metrics. - Marijke Swennen; Gert Janssenswillen; Mieke Jans; Benoît Depaire; Koen Vanhoof (SIMPDA, 2015)

Calculating the Number of Unique Paths in a Block-Structured Process Model. - Gert Janssenswillen; Benoît Depaire; Toon Jouck (ATAED@Petri Nets/ACSD, 2016)

Measuring the Quality of Models with Respect to the Underlying System: An Empirical Study. - Gert Janssenswillen; Toon Jouck; Mathijs Creemers; Benoît Depaire (BPM, 2016)

Capturing Resource Behaviour From Event Logs. - Marijke Swennen; Niels Martin; Gert Janssenswillen; Mieke Jans; Benoît Depaire; An Caris; Koen Vanhoof (SIMPDA, 2016)

bupaR: Business Process Analysis in R. - Gert Janssenswillen; Benoît Depaire (BPM (Demos), 2017)

A comparative study of existing quality measures for process discovery. - Gert Janssenswillen; Niels Donders; Toon Jouck; Benoît Depaire (Inf. Syst., 2017)

Detecting train reroutings with process mining. - Gert Janssenswillen; Benoît Depaire; Sabine Verboven (EURO J. Transp. Logist., 2018)

Towards Confirmatory Process Discovery: Making Assertions About the Underlying System. - Gert Janssenswillen; Benoît Depaire (Bus. Inf. Syst. Eng., 2019)

bupaR: Enabling reproducible business process analysis. - Gert Janssenswillen; Benoît Depaire; Marijke Swennen; Mieke Jans; Koen Vanhoof (Knowl. Based Syst., 2019)

Unearthing the Real Process Behind the Event Data: The Case for Increased Process Realism (Extended Abstract). - Gert Janssenswillen (BPM (PhD/Demos), 2020)

Enhancing Discovered Process Models Using Bayesian Inference and MCMC. - Gert Janssenswillen; Benoît Depaire; Christel Faes (Business Process Management Workshops, 2020)

Extensions to the bupaR Ecosystem: An Overview. - Gert Janssenswillen; Felix Mannhardt; Mathijs Creemers; Benoît Depaire; Mieke Jans; Leen Jooken; Niels Martin; Greg Van Houdt (ICPM Doctoral Consortium / Tools, 2020)

Conformance Checking in Process Mining. - Mieke Jans; Jochen De Weerdt; Benoît Depaire; Marlon Dumas; Gert Janssenswillen (Inf. Syst., 2021)

Unearthing the Real Process Behind the Event Data - The Case for Increased Process Realism - Gert Janssenswillen (Springer, 2021)

Alpha Precision: Estimating the Significant System Behavior in a Model. - Benoît Depaire; Gert Janssenswillen; Sander J. J. Leemans (BPM (Forum), 2022)

bupaRflow: A Workflow Interface for bupaR. - Brecht Steukers; Gert Janssenswillen; Gerhardus A. W. M. van Hulzen; Frank Vanhoenshoven; Benoît Depaire (BPM (PhD/Demos), 2022)

Identifying the Steps in an Exploratory Data Analysis: A Process-Oriented Approach. - Seppe Van Daele; Gert Janssenswillen (ICPM Workshops, 2022)

Process Analysis with bupaR 0.5.0: What's New? (Extended Abstract). - Gerhardus A. W. M. van Hulzen; Gert Janssenswillen; Niels Martin; Benoît Depaire (ICPM Doctoral Consortium / Demo, 2022)

DaQAPO: Supporting flexible and fine-grained event log quality assessment. - Niels Martin; Greg Van Houdt; Gert Janssenswillen (Expert Syst. Appl., 2022)

Using Process Mining to Explore the Impact of Socio-economic Status on the Treatment of Musculoskeletal Disorders - A Case Study. - Ruben Claus; Niels Martin; Esther R. C. Janssen; Gert Janssenswillen; Tim A. E. J. Boymans; Rob J. B. Vanwersch (ICPM Workshops, 2023)

processpredictR: predictive process monitoring using bupaR. - Ivan Esin; Dmitri Beloshitskiy; Gert Janssenswillen (ICPM Doctoral Consortium / Demo, 2023)

Measuring Skill Acquisition and Retention: A Case Study of Math Fluency. - Gert Janssenswillen; Seppe Van Daele; Marc Van Daele (ICPM Workshops, 2024)