Scientific Literature

PhD theses

• G. Elkoumy, Privacy-enhancing Technologies for Business Process Mining, University of Tartu, 2022.
• D. Reissner, Quality Measures in Process Mining: Tackling the Scalability Challenge, The University of Melbourne, 2022.
• V. Leno, Robotic Process Mining: Accelerating the Adoption of Robotic Process Automation, The University of Melbourne and University of Tartu (joint PhD), 2022.
• M. Camargo, Automated Discovery of Business Process Simulation Models from Event Logs: A Hybrid Process Mining and Deep Learning Approach, University of Tartu, 2022.
• A. Augusto, Accurate and Efficient Discovery of Process Models from Event Logs, PhD thesis, The University of Melbourne and University of Tartu (joint PhD), 2020.
• H. Nguyen, Stage-aware Business Process Mining, PhD thesis, Queensland University of Technology, 2019.
• A. Ostovar, Business Process Drift: Detection and Characterization, PhD thesis, Queensland University of Technology, 2019.
• I. Teinemaa, Predictive and Prescriptive Monitoring of Business Process Outcomes, PhD thesis, University of Tartu, 2019.
• I. Verenich, Predictive Monitoring of Temporal Properties of Business Processes, PhD thesis, University of Tartu and Queensland University of Technology (joint PhD), Uni. Tartu’s version, QUT’s version, 2019.
• C. Ekanayake, Consolidation of Business Process Model Collections, PhD thesis, Queensland University of Technology, 2014.
• R. Conforti, Managing Risk in Process-Aware Information Systems, PhD thesis, Queensland University of Technology, 2014.
• R. Uba, Merging Business Process Models, PhD thesis, University of Tartu, 2011.
• M. La Rosa, Managing Variability in Process-Aware Information Systems, PhD thesis, Queensland University of Technology, 2009.

Master’s theses

• S. Moskovski, A web-based framework for the evaluation of predictive process monitoring techniques, University of Tartu, 2018.
• K. Jorbina, A Web-Based Tool for Predictive Process Analytics, Master’s thesis, University of Tartu, 2017.
• A. Rozymnyi, A Dashboard-based Predictive Process Monitoring Engine, Master’s thesis, University of Tartu, 2017.
• A. Augusto, Automated Discovery of Structured Business Process Models, Master’s thesis, Politecnico di Torino, 2016.
• P. Napoli, Integration of the ProM instrument for Process Mining with the Apromore platform for business process models management, Master’s thesis, Università della Calabria, 2015.
• L. Corno, Sviluppo di un’Interfaccia Grafica basata sul Linguaggio PQL per Interrogazioni di Modelli di Processo in Apromore, Master’s thesis, Università della Calabria, 2014 (in Italian).

Demonstration papers

• V. Leno, S.Deviatykh, A. Polyvyanyy, M. La Rosa, M. Dumas, F. Maggi: Robidium: Automated Synthesis of Robotic Process Automation Scripts from UI Logs, In Proceedings of BPM Demos, CEUR, 2020.
• V. Leno, A. Polyvyanyy, M. La Rosa, M. Dumas, F. Maggi: Action Logger: Enabling Process Mining for Robotic Process Automation, In Proceedings of BPM Demos, CEUR, 2019.
• F. Fornari, M. La Rosa, A. Polini, B. Re, F. Tiezzi, Checking Business Process Correctness in Apromore, In Proceedings of the CAiSE Forum, 2018.
• I. Verenich, S. Moskovski, S. Raboczi, M. Dumas, M. La Rosa, F.M. Maggi, Predictive Process Monitoring in Apromore, In Proceedings of the CAiSE Forum, 2018.
• A. Armas-Cervantes, N.R.T.P. van Beest, M. La Rosa, M. Dumas, S. Raboczi, Incremental and Interactive Business Process Model Repair in Apromore. In Proceedings of the Demo Track of the 15th International Conference on Business Process Management (BPM’17), 2017.
• F. Fornari, S. Gnesi, M. La Rosa, A. Polini, B. Re, G.O. Spagnolo, Checking Business Process Modeling Guidelines in Apromore. In Proceedings of the Demo Track of the 15th International Conference on Business Process Management (BPM’17), 2017.
• H. Groefsema, N.R.T.P. van Beest, A. Armas-Cervantes, Automated compliance verification of business processes in Apromore. In Proceedings of the Demo Track of the 15th International Conference on Business Process Management (BPM’17), 2017.
• R. Conforti, A.Augusto, M. La Rosa, M. Dumas, L. Garcia-Banuelos, BPMN Miner 2.0: Discovering Hierarchical and Block-Structured BPMN Process Models. In Proceedings of the Demo Track of the 14th International Conference on Business Process Management (BPM’16), 2016.
• A. Armas-Cervantes, N.R.T.P. van Beest, M. Dumas, L. Garcia-Banuelos, M. La Rosa, Behavior-based process comparison in Apromore. In Proceedings of the Demo Track of the 14th International Conference on Business Process Management (BPM’16), 2016.
• R. Conforti, M. Dumas, M. La Rosa, A. Maaradji, H. Nguyen, A. Ostovar, S. Raboczi, Analysis of Business Process Variants in Apromore. In Proceedings of the Demo Track of the 13th International Conference on Business Process Management (BPM’15), 2015.
• A. Polyvyanyy, L. Corno, R. Conforti, S. Raboczi, M. La Rosa, G. Fortino, Process Querying in Apromore. In Proceedings of the Demo Track of the 13th International Conference on Business Process Management (BPM’15), 2015.
• M.C. Fauvet, M. La Rosa, M. Sadegh, A. Alshareef, R.M. Dijkman, L. Garcıa-Banuelos, H.A. Reijers, W.M.P. van der Aalst, M. Dumas, J. Mendling, Managing process model collections with AProMoRe. In Proocedings of the Demo Track of the 8th International Conference on Service Oriented Computing (ICSOC’10), 2010.

Automated Discovery (Split Miner, Structured Miner, BPMN Miner)

• A. Augusto, M. Dumas, M. La Rosa, Automated Discovery of Process Models from Event Logs: Review and Benchmark, In Proceedings of the International Conference on Business Process Management (BPM’19), 2019
• A. Augusto, R. Conforti, M. Dumas, M. La Rosa, F.M. Maggi, A. Marrella, M. Mecella, A. Soo, Automated Discovery of Process Models from Event Logs: Review and Benchmark, IEEE Transactions on Knowledge & Data Engineering, 2018
• A. Augusto, R. Conforti, M. Dumas, M. La Rosa, A. Polyvyanyy, Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs, Knowledge and Information Systems, 2018
• A. Augusto, R. Conforti, M. Dumas, M. La Rosa, G. Bruno, Automated Discovery of Structured Process Models from Event Logs: The Discover-and-Structure Approach, Data & Knowledge Engineering, 2018
• A. Augusto, R. Conforti, M. Dumas, M. La Rosa, Split Miner: Discoverying Accurate and Simple Process Models from Event Logs. In Proceedings of the IEEE International Conference on Data Mining (ICDM’17), 2017
• R. Conforti, A. Augusto, M. La Rosa, M. Dumas, L. Garcia-Banuelos, BPMN Miner 2.0: Discovering Hierarchical and Block-Structured BPMN Process Models. In Proceedings of the Demo Track of the 14th International Conference on Business Process Management (BPM’16), 2016
• A. Augusto, R. Conforti, M. Dumas, M. La Rosa, G. Bruno. Automated Discovery of Structured Process Models: Discover Structured vs. Discover and Structure. In Proceedings of the 35th International Conference on Conceptual Modeling (ER2016), Springer, 2016
• R. Conforti, M. Dumas, L. Garcia-Banuelos, M. La Rosa, BPMN Miner: Automated discovery of BPMN process models with hierarchical structure. Information Systems, Vo. 56, 2016
• A. Armas-Cervantes, M. La Rosa, M. Dumas, Local Concurrency Detection in Business Process Event Logs, QUT ePrints 102438, 2016
• R. Conforti, M. Dumas, L. Garcia-Banuelos, M. La Rosa. Beyond Tasks and Gateways: Discovering BPMN Models with Subprocesses, Boundary Events and Multi-Instance Markers. In Proceedings of the 12th International Conference on Business Process Management (BPM’14), Springer, 2014

Automated Discovery of Model Collections

• L. Garcia-Banuelos, M. Dumas, M. La Rosa, J. De Weerdt, C.C. Ekanayake. Controlled Automated Discovery of Collections of Business Process Models. Information Systems, 2014.
• C. Ekanayake, M. Dumas, L. Garcia-Banuelos, M. La Rosa. Slice, mine and dice: complexity-aware automated discovery of business process models. In Proceedings of the 11th International Conference on Business Process Management (BPM), Beijing, China. LNCS 8094, pp. 49-64, Springer, 2013.

Conformance Checking

• A. Augusto, A. Armas-Cervantes, R. Conforti, M. Dumas, M. La Rosa, D. Reissner, Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery, In Proceedings of the Int. Conference on Business Process Management (BPM’18),  2018.
• A. Armas-Cervantes, M. Dumas, L. Garcia-Banuelos, M. La Rosa, and N.R.T.P. van Beest, Interactive and Incremental Business Process Model Repair. In Proceedings of the Int. Conference on Cooperative Information Systems (CoopIS2017), 2017.
• D. Reissner, R. Conforti, M. Dumas, M. La Rosa, A. Armas-Cervantes, Scalable conformance checking of business processes. In Proceedings of the Int. Conference on Cooperative Information Systems (CoopIS2017), 2017.
• A. Armas-Cervantes, N.R.T.P. van Beest, Marlon Dumas, Luciano Garcia-Banuelos, Marcello La Rosa, Behavior-based process comparison in Apromore. In Proceedings of the Demo Track of the 14th International Conference on Business Process Management (BPM’16).
• L. Garcia-Banuelos, N.R.T.P. van Beest, M. Dumas, M. La Rosa, Complete and Interpretable Conformance Checking of Business Processes, IEEE Transactions on Software Engineering, 2017.
• L. Garcia-Banuelos, N.R.T.P. van Beest, M. Dumas, M. La Rosa, Business Process Conformance Checking Based on Event Structures. 27th Nordic Workshop on Programming Theory (NWPT), Reykjavik University, Iceland, 2015.

Drift Mining

• A. Ostovar, S. Leemans, M. La Rosa, Robust Drift Characterization from Event Streams of Business Processes, ACM Transactions on Knowledge Discovery from Data, 2020.
• A. Maaradji, M. Dumas, M. La Rosa, A. Ostovar, Detecting Sudden and Gradual Drifts in Business Processes Based on Event Logs. IEEE Transactions on Knowledge and Data Engineering, 2017.
• A. Ostovar, A.Maaradji, M. La Rosa, A.H.M. ter Hofstede, Characterizing drift from event streams of business processes, In Proceedings of the 29th International Conference on Advanced Information Systems Engineering (CAiSE’17), accepted 24 Feb 2017.
• A. Ostovar, A. Maaradji, M. La Rosa, A.H.M. ter Hofstede, B. van Dongen. Detecting Drift from Event Streams of Unpredictable Business Processes. In Proceedings of the 35th International Conference on Conceptual Modeling (ER’16),  2016.
• A. Maaradji, M. Dumas, M. La Rosa, A. Ostovar, Fast and accurate business process drift detection. In Proceedings of the 13th International Conference on Business Process Management (BPM’15), Innsbruck, Austria, 2015.

Logs/Streams Preprocessing

• S.J. van Zelst, R. Conforti, M. Fani Sani, M. La Rosa, A. Ostovar, Detection and Removal of Infrequent Behaviour from Event Streams of Business Processes, Information Systems, 2019.
• S.J. van Zelst, M.F. Sani, A. Ostovar, R. Conforti, M. La Rosa, Filtering Spurious Events from Event Streams of Business Processes. In Proceedings of the Int. Conference on Advanced Information Systems Engineering (CAiSE’18), 2018.
• R. Conforti, M. La Rosa, A.H.M. ter Hofstede, Timestamp Repair for Business Process Event Logs, UoM Minerva Access 11343/209011, 2018
• R. Conforti, M. La Rosa, A.H.M. ter Hofstede, Filtering out Infrequent Behavior from Business Process Event Logs. IEEE Transactions on Knowledge & Data Engineering, 2016.

Models Configuration

• M. La Rosa, W.M.P. van der Aalst, M. Dumas, F.P. Milani. Business Process Variability Modeling: A Survey. ACM Computing Surveys, 2016.
• W.M.P. van der Aalst, N. Lohmann and M. La Rosa. Ensuring Correctness During Process Configuration via Partner Synthesis. Information Systems, Vol. 37 No. 6, 2012.
• M. La Rosa, M. Dumas, A.H.M. ter Hofstede and J. Mendling, Configurable Multi-Perspective Business Process Models. In Information Systems, Vol. 36 No. 2, 2011.
• W.M.P. van der Aalst, N. Lohmann, M. La Rosa and J. Xu. Correctness Ensuring Process Configuration: An Approach Based on Partner Synthesis. In Proceedings of the 8th International Conference on Business Process Management, LNCS 6336, pp. 95-111, Springer, 2010.
• W.M.P. van der Aalst, M. Dumas, F. Gottschalk, A.H.M. ter Hofstede, M. La Rosa, J. Mendling, Preserving Correctness During Business Process Model Configuration. In Formal Aspects of Computing (FACS). Vol. 22 No. 3-4, 2010.
• M. La Rosa, W.M.P. van der Aalst, M. Dumas and A.H.M. ter Hofstede. Questionnaire-based Variability Modeling for System Configuration, Software and Systems Modeling (SoSyM), Vol. 8 No. 2, 2009.
• F. Gottschalk, T.A.C. Wagemakers, M.H. Jansen-Vullers, W.M.P. van der Aalst and M. La Rosa, Configurable Process Models: Experiences from a Municipality Case Study. In Proceedings of the 21th International Conference on Advanced Information Systems Engineering (CAiSE’09), Amsterdam, The Netherlands. LNCS 5565, pp. 486-500, Springer, 2009.
• F. Gottschalk, M. La Rosa, Process Configuration in YAWL (Chapter XVIII). In A.H.M. ter Hofstede, W.M.P. van der Aalst, N. Russell, M. Adams (eds.) Modern Business Process Automation: YAWL and its Support Environment. Springer, 2009.
• M. La Rosa, M. Dumas, A.H.M. ter Hofstede, Modelling Business Process Variability for Design-Time Configuration (Chapter IX). In J. Cardoso, W.M.P. van der Aalst (editors), Handbook of Research on Business Process Modeling, IDEA Group – Information Science Reference, 2009.
• W.M.P. van der Aalst, M. Dumas, F. Gottschalk, A.H.M. ter Hofstede, M. La Rosa, J. Mendling, Correctness-Preserving Configuration of Business Process Models. In Proceedings of Fundamental Approaches to Software Engineering (FASE’08), Budapest, Hungary. LNCS 4961, pp. 46–61, Springer, 2008.
• M. La Rosa, M. Dumas, A.H.M. ter Hofstede, J. Mendling, F. Gottschalk, Beyond Control-Flow: Extending Business Process Configuration to Roles and Objects. In Proceedings of the 27th International Conference on Conceptual Modeling (ER’08), Barcelona, Spain. LNCS 5231, pp. 199–215, Springer, 2008.
• M. La Rosa, F. Gottschalk, M. Dumas and W.M.P. van der Aalst. Linking Domain Models and Process Models for Reference Model Configuration. In Proceedings of the 10th International Workshop on Reference Modeling (RM 07) at BPM 2007, Brisbane, Australia. LNCS 4928, pp. 417–430, Springer, 2008.
• F. Gottschalk, W.M.P. van der Aalst, M.H. Jansen-Vullers and M. La Rosa. Configurable Workflow Models, International Journal of Cooperative Information Systems (IJCIS), Vol. 17 No. 2, June 2008.
• M. La Rosa, J. Lux, S. Seidel, M. Dumas and A.H.M. ter Hofstede. Questionnaire-driven Configuration of Reference Process Models. In Proceedings of the 19th International Conference on Advanced Information Systems Engineering (CAiSE’07), Trondheim, Norway. LNCS 4495, pp. 424–438, Springer, 2007.

Models Clone Detection

• M. La Rosa, M. Dumas, C. Ekanayake, L. Garcia-Baneulos, J. Recker, A.H.M. ter Hofstede, Detecting Approximate Clones in Business Process Model Repositories. Information Systems, 2014.
• M. Dumas, L. Garcia-Banuelos, M. La Rosa, R. Uba. Fast Detection of Exact Clones in Repositories of Business Process Models. Information Systems, Vol. 38 No. 4, 2013.
• C. Ekanayake, M. Dumas, L. Garcia-Banuelos, M. La Rosa, A.H.M. ter Hofstede. Approximate Clone Detection in Repositories of Business Process Models. In Proceedings of the 10th International Conference on Business Process Management (BPM), Tallinn, Estonia. LNCS Vol. 7481, pp. 302-318, Springer, 2012.
• R. Uba, M. Dumas, L. Garcia-Banuelos and M. La Rosa. Clone Detection in Repositories of Business Process Models. In Proceedings of the 9th International Conference on Business Process Management, Springer, 2011.

Models Merging

• M. La Rosa, M. Dumas, R. Uba, R. Dijkman. Business Process Model Merging: An Approach to Business Process Consolidation, ACM Transactions on Software Engineering and Methodology, Vol. 22 No. 2, 2013.
• M. La Rosa, M. Dumas, R. Uba and R. Dijkman, Merging Business Process Models. In Proceedings of the 18th International Conference on Cooperative Information Systems, LNCS Vol. 6426, pp. 96-113, Springer, 2010.

Models Querying

• A. Polyvyanyy, C. Ouyang, A.P. Barros, W.M.P. der Aalst, Process querying: Enabling business intelligence through query-based process analytics. Decision Support Systems, 2017.
• A. Polyvyanyy, L. Corno, R. Conforti, S. Raboczi, M. La Rosa, G. Fortino, Process Querying in Apromore. In Proceedings of the Demo Track of the 13th International Conference on Business Process Management (BPM’15).
• A. Polyvyanyy, A.H.M. ter Hofstede, M. La Rosa, C. Ouyang, A. Pika, Process Query Language: Design, Implementation and Evaluation. BPM Center BPM-15-06, 2015.
• A. Polyvyanyy, M. La Rosa, A.H.M. ter Hofstede. Indexing and Efficient Instance-based Retrieval of Process Models Using Untanglings. In Proceedings of the 26th International Conference on Advanced Information Systems Engineering (CAiSE), Tessalonike, Greece. LNCS Vol. 8484, Springer, pp. 439-456, Springer, 2014.
• A. Polyvyanyy, M. Weidlich, R. Conforti, M. La Rosa, A.H.M. ter Hofstede. The 4C Spectrum of Fundamental Behavioral Relations for Concurrent Systems. In Proceedings of the 35th International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets), Tunis, Tunisia. LNCS Vol. 8489, pp. 220-232, Springer, 2014.
• T. Jin, J. Wang, N. Wu, M. La Rosa and A.H.M. ter Hofstede. Efficient Querying of Large Process Model Repositories. Computers in Industry, Vol. 64 No. 1, 2013.
• T. Jin, J. Wang, N. Wu, M. La Rosa and A.H.M. ter Hofstede. Efficient and Accurate Retrieval of Business Process Models through Indexing (Short Paper). In Proceedings of the 18th International Conference on Cooperative Information Systems, LNCS Vol. 6426, pp. 402-409, Springer, 2010.

Models Repair

• A. Armas-Cervantes, Marlon Dumas, Luciano Garcia-Banuelos, Marcello La Rosa, N.R.T.P. van Beest, Interactive and Incremental Business Process Model Repair, QUT ePrints 106611, Queensland University of Technology, 2017.
• A. Polyvyanyy, W.M.P. van der Aalst, A.H.M. ter Hofstede, M.T. Moe, Impact-driven process model repair. ACM Transactions on Software Engineering and Methodology, 25(4).
• J.C.A.M. Buijs, M. La Rosa, H.A. Reijers, B.F. van Dongen, W.M.P. van der Aalst. Improving Business Process Models using Observed Behavior. In Post-proceedings of the 2nd International Symposium on Data-driven Process Discovery and Analysis (SIMPDA), Campione d’Italia, Italy. LNBIB 162, pp. 44-59, Springer, 2013.
• M. Gambini, M. La Rosa, S. Migliorini and A.H.M. ter Hofstede. Automated Error Correction in Business Process Models. In Proceedings of the 9th International Conference on Business Process Management (BPM), Clermond-Ferrand, France. LNCS Vol. 6896, pp. 148-165, Springer, 2011.

Models Similarity

• R.M. Dijkman, M. Dumas, B. van Dongen; R. Käärik, and J. Mendling. Similarity of Business Process Models: Metrics and Evaluation. Information Systems 36(2), pp. 498-516, 2011.
• M. Kunze and M. Weske. Metric Tree for Efficient Similairty Search in Large Process Model Repositories. 1st International Workshop “Process in the Large”, Hoboken, USA, 2010.
• Z. Yan, R.M. Dijkman, P.W.P.J. Grefen. Fast Business Process Similarity Search with Feature-based Similarity Estimation. In: Proceedings of the 18th International Conference on Cooperative Information Systems (CoopIS), Part I, Crete, Greece, Lecture Notes in Computer Science 6426, Spinger, pp. 60-77, 2010.
• M. Weidlich, R.M. Dijkman, and M. Weske. Deciding Behaviour Compatibility of Complex Correspondences between Process Models. In: Proceedings of the 8th International Conference on Business Process Management (BPM), Hoboken, NJ, USA, pp. 78-94, 2010.
• M. Weidlich, R.M. Dijkman, and J. Mendling. The ICoP Framework: Identification of Correspondences between Process Models. In: Proceedings of the 22th International Conference on Advanced Information Systems Engineering (CAiSE), Hammamet, Tunesia, pp. 483-498, 2010.
• M. Dumas, L. García-Bañuelos, and R.M. Dijkman. Similarity Search of Business Process Models. Bulletin of the Technical Committee on Data Engineering 32(3), pp. 23-28, 2009.
• R.M. Dijkman, M. Dumas, and L. García-Bañuelos. Graph Matching Algorithms for Business Process Model Similarity Search. In: Proceedings of the 7th International Conference on Business Process Management (BPM), Ulm, Germany, pp. 48-63, 2009.
• R.M. Dijkman, M. Dumas, L. García-Bañuelos, and R. Käärik. Aligning Business Process Models. In: Proceedings of the 13th IEEE EDOC Conference (EDOC), Auckland, New Zealand, pp. 45-53, 2009.
• R.M. Dijkman. Diagnosing Differences between Business Process Models. In: Proceedings of the 6th International Conference on Business Process Management (BPM), Milan, Italy, pp. 261-277, 2008.
• B.F. van Dongen, R.M. Dijkman, and J. Mendling. Measuring Similarity between Business Process Models. In: Proceedings of the 20th International Conference on Advanced Information Systems Engineering (CAiSE), Montpellier, France, pp. 450-464, 2008.
• R.M. Dijkman. A Classification of Differences between Similar Business Processes. In: Proceedings of the 11th IEEE EDOC Conference (EDOC), Annapolis, MD, USA, pp. 37-47, 2007.

Models Understandability

• H. Leopold, J. Mendling, H.A. Reijers, M. La Rosa. Simplifying Process Model Abstraction: Techniques for Generating Process model Names. Information Systems, Vol. 39, 2014.
• M. Dumas, M. La Rosa, J. Mendling, R. Maesaku, H.A. Reijers, N. Semenenko. Understanding Business Process Models: The Costs and Benefits of Structuredness. In Proceedings of the 24th International Conference on Advanced Information Systems Engineering (CAiSE), Poland. LNCS Vol. 7328, pp. 31-46, Springer, 2012.
• H.A. Reijers and J. Mendling. A Study into the Factors that Influence the Understandability of Business Process Models. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 41(3), 449-462, 2011.
• M. La Rosa, P. Wohed, J. Mendling, A.H.M. ter Hofstede, H. Reijers and W.M.P. van der Aalst. Managing Process Model Complexity via Abstract Syntax Modifications. IEEE Transactions on Industrial Informatics, Vol. 7 No. 4, 2011.
• M. La Rosa, A.H.M. ter Hofstede, P. Wohed, H. Reijers, J. Mendling, W.M.P. van der Aalst, Managing Process Model Complexity via Concrete Syntax Modifications. IEEE Transactions on Industrial Informatics, Vol. 7 No. 2, 2011.
• J. Mendling, J. Recker, and H.A. Reijers. On the Usage of Labels and Icons in Business Process Modeling. International Journal of Information Systems Modeling and Design, 1(2), 40-58, 2010.
• J. Mendling, H.A. Reijers, and J. Recker. Activity Labeling in Process Modeling: Empirical Insights and Recommendations. Information Systems, 35(4), 467-482, 2010.
• J. Mendling, H.A. Reijers, and W.M.P. van der Aalst. Seven Process Modeling Guidelines (7PMG). Information and Software Technology, 52(2), 127-136, 2010.
• H.A. Reijers, J. Recker, and S.G. van de Wouw. An Integrative Framework of the Factors Affecting Process Model Understanding: A Learning Perspective. In D. Leidner and J. Elam, editors, Proceedings of the 16th Americas Conference on Information Systems (AMCIS 2010). AIS Electronic Library, 2010.
• M. Schrepfer, J. Wolf, J. Mendling, and H.A. Reijers. The Impact of Secondary Notation on Process Model Understanding. In A. Persson and J. Stirna, editors, Proceedings of 2nd IFIP WG 8.1 Working Conference on The Practice of Enterprise Modeling (PoEM 2010), Lecture Notes in Business Information Processing 39, 161-175. Springer Verlag, Berlin, 2010
• J. Melcher, J. Mendling, H.A. Reijers, and D. Seese. On Measuring the Understandability of Process Models. In S. Rinderle-Ma, S. Sadiq, and F. Leymann, editors, Proceedings of the BPM workshops 2009, Lecture Notes in Business Information Processing 43, 465-476. Springer Verlag, Berlin, 2010.
• H.A. Reijers, R.S. Mans, and R.A. van der Toorn. Improved Model Management with Aggregated Business Process Models. Data and Knowledge Engineering, 68(2), 221-243, 2009.
• H.A. Reijers, J. Mendling, and R.M. Dijkman. On the Usefulness of Subprocesses in Business Process Models. BPM Center Reports, BPM-10-03, 32 pages, 2010.
• J. Mendling, J. Recker, and H.A. Reijers. Process Modeling Quality: A Framework and Research Agenda. BPM Center Reports, BPM-09-02, 18 pages, BPMcenter.org, 2009.
• H.A. Reijers and J. Mendling. Modularity in Process Models: Review and Effects. In M. Dumas, M. Reichert and M.-C. Shan, editors, Proceedings of the 6th International Conference Business Process Management (BPM 2008), Lecture Notes in Computer Science 5240, 20-35. Springer Verlag, Berlin, 2008.
• J. Mendling and H.A. Reijers. How to Define Activity Labels for Business Process Models? In W. Hesse and A. Oberweis, editors, Proceedings of the 3rd AIS SIGSAND European Symposium on Analysis, Design, Use and Societal Impact of Information Systems, GI-Edition – Lecture Notes in Informatics (LNI) P-129, 117-127. Koellen-Verlag, 2008.
• I. Vanderfeesten, H.A. Reijers, J. Mendling, W.M.P. van der Aalst, and J. Cardoso. On a Quest for Good Process Models: The Cross-Connectivity Metric. In Z. Bellahsène and M. Léonard, editors, Proceedings of the 20th International Conference on Advanced Information Systems Engineering (CAiSE 2008), Lecture Notes in Computer Science 5074, 480-494. Springer Verlag, Berlin, 2008.
• J. Mendling, H.A. Reijers, and Jorge Cardoso. What Makes Process Models Understandable? In G. Alonso, P. Dadam and M. Rosemann, editors, Proceedings of the 5th International Conference Business Process Management (BPM 2007), Lecture Notes in Computer Science 4714, 48-63. Springer Verlag, Berlin, 2007.
• J. Cardoso, J. Mendling, G. Neumann, and H.A. Reijers. A Discourse on Complexity of Process Models. In J. Eder and S. Dustdar, editors, Proceedings of the BPM workshops 2006, Lecture Notes in Computer Science 4103, 117-128. Springer Verlag, Berlin, 2006.

Online Automated Discovery

• V. Leno, A. Armas-Cervantes, M. Dumas, M. La Rosa, Discoverying Process Maps from Event Streams, In Proceedings of the Int. Conference on Software and System Process (ICSSP’18), 2018.

Performance Mining

• B.F.A. Hompes, A. Maaradji, M. La Rosa, M. Dumas, J.C.A.M. Buijs, W.M.P. van der Aalst, Discovering causal factors explaining business process performance, In Proceedings of the 29th International Conference on Advanced Information Systems Engineering (CAiSE2017), Springer, 2017.
• R. Andrews, S. Suriadi, M. Wynn, A.H.M. ter Hofstede, A. Pika, H.H. Nguyen, M. La Rosa, Comparing Static and Dynamic Aspects of Patient Flows via Process Model Visualizations, QUT ePrints 102848, 2016.
• H. Nguyen, M. Dumas, A.H.M. ter Hofstede, M. La Rosa, F.M. Maggi. Business Process Performance Mining with Staged Process Flows. In Proceedings of the 28th International Conference on Advanced Information Systems Engineering (CAISE2016), Springer, 2016.

Predictive Monitoring

• F. Taymouri, M. La Rosa, S. Erfani, Z. Bozorgi, I. Verenich: Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction, In Proceedings of BPM, Springer, 2020.
• I. Verenich, M. Dumas, M. La Rosa, F.M. Maggi, I. Teinemaa, Survey and Cross-Benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019.
• I. Verenich, M. Dumas, M. La Rosa, H. Nguyen, Predicting Process Performance: A White-Box Approach Based on Process Models, Journal of Software: Evolution and Process, Vol. 31 No. 6, 2019.
• I. Teinemaa, M. Dumas, M. La Rosa, F.M. Maggi, Outcome-Oriented Predictive Process Monitoring: Review and Benchmark, ACM Transactions on Knowledge Discovery from Data, Vol. 13 No. 2, 2019.
• I. Verenich, H. Nguyen, M. La Rosa, M. Dumas, White-Box Prediction of Process Performance Indicators via Flow Analysis. In Proceedings of the International Conference on Software and System Processes (ICSSP2017), IEEE, 2017
• N. Tax, I. Verenich, M. La Rosa, M. Dumas, Predictive Business process Monitoring with LSTM Neural Networks, In Proceedings of the 29th International Conference on Advanced Information Systems Engineering (CAiSE2017), Springer, 2017.
• I. Verenich, M. Dumas, M. La Rosa, F.M. Maggi, D. Chasovskyi, A. Rozumnyi. Tell me what’s ahead? Predicting remaining activity sequences of business process instances. QUT ePrints 96732, 2016.
• I. Verenich, M. Dumas, M. La Rosa, F.M. Maggi, C. Di Francescomarino. Minimizing Overprocessing Waste in Business Processes via Predictive Activity Ordering. In Proceedings of the 28th International Conference on Advanced Information Systems Engineering (CAISE’16), 2016.
• I. Verenich, M. Dumas, M. La Rosa, F.M. Maggi, C. Di Francescomarino. Complex Symbolic Sequence Clustering and Multiple Classifiers for Predictive Process Monitoring. In Proceedings of the BPM Workshops 2015.

Prescriptive Monitoring / Casual Process Mining

• Z. Bozorgi, I. Teinemaa, M. Dumas, M. La Rosa, A. Polyvyanyy, Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs, In Proceedings of ICPM, IEEEE, 2020.
• S. Fahrenkrog-Petersen, N. Tax, I. Teinemaa, M. Dumas, M. de Leoni, F. Maggi, M. Weidlich: Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring, arXiv 1905.09568, 2019
• I. Teinemaa, N. Tax, M. de Leoni, M. Dumas, F. Maggi: Alarm-Based Prescriptive Process Monitoring, In Proceedings of BPM Forum, Springer, 2018.

Robotic Process Mining

• V. Leno, A. Augusto, M. Dumas, M. La Rosa, F. Maggi, A. Polyvyanyy, Identifying candidate routines for Robotic Process Automation from unsegmented UI logs, In Proceedings of ICPM, IEEE, 2020.
• V. Leno, A. Polyvyanyy, M. Dumas, M. La Rosa, F.M. Maggi, Robotic Process Mining: Vision and Challenges, Business & Information Systems Engineering, 2020.
• V. Leno, M. Dumas, F.M. Maggi, M. La Rosa, A. Polyvyanyy, Automated Discovery of Declarative Process Models with Correlated Data Conditions, Information Systems, Vol. 89, 2020.
• V. Leno, A. Polyvyanyy, M. La Rosa, M. Dumas, F. Maggi, Automated Discovery of Data Transformations for Robotic Process Automation, AAAI-20 Workshop on Intelligent Process Automation, 2020.
• A. Bosco, A. Augusto, M. Dumas, M. La Rosa, Discovering Automatable Routines from User Interaction Logs, In Proceedings of the BPM Forum, LNBIP, Springer, 2019.

Stage-based Mining

• H. Nguyen, M. Dumas, A. ter Hofstede, M. La Rosa, F. Maggi, Stage-based Discovery of Business Process Models from Event Logs, Information Systems, Vol. 84, 2019.
• H. Nguyen, M. Dumas, A.H.M. ter Hofstede, M. La Rosa, F.M. Maggi, Mining business process stages from event logs, In Proceedings of the 29th International Conference on Advanced Information Systems Engineering (CAiSE2017), Springer, 2017.
• H. Nguyen, M. Dumas, A.H.M. ter Hofstede, M. La Rosa, F.M. Maggi. Business Process Performance Mining with Staged Process Flows. In Proceedings of the 28th International Conference on Advanced Information Systems Engineering (CAISE2016), Springer, 2016.

Variant Analysis

• H. Nguyen, M. Dumas, M. La Rosa, F.M. Maggi, S. Suriadi, U. Naiker, Business Process Deviance Mining: Review and Evaluation, QUT ePrints 98196, 2016.
• R. Conforti, M. Dumas, M. La Rosa, A. Maaradji, H. Nguyen, A. Ostovar, S. Raboczi, Analysis of Business Process Variants in Apromore. In Proceedings of the Demo Track of the 13th International Conference on Business Process Management (BPM’15).
• N.R.T.P. van Beest, M. Dumas-Menijvar, L. Garcia-Banuelos, M. La Rosa, Log delta analysis: Interpretable differencing of business process event logs. In Proceedings of the 13th International Conference on Business Process Management (BPM), Innsbruck, Austria. LNCS Vol. 9253, pp. 386-405, Springer, 2015.

Repository Technology

• C.C. Ekanayake, M. La Rosa, A.H.M. ter Hofstede, M.-C. Fauvet. Fragment-based Version Management for Repositories of Business Process Models. In Proceedings of the 19th International Conference on Cooperative Information Systems (CoopIS), 2011.
• M. La Rosa, H.A. Reijers, W.M.P. van der Aalst, R. Dijkman, J. Mendling, M. Dumas, Marlon and L. Garcia-Banuelos, Apromore: An Advanced Process Model Repository. In Expert Systems with Applications (ESWA), Vol. 38 Issue 6, 2011.