Joint publications, involving members of at least two different partner groups:

Calvanese, D., Montali, M., Dumas, M., & Maggi, F.M. (2019). Semantic DMN: formalizing and reasoning about decisions in the presence of background knowledge. Theory and Practice of Logic Programmings, 19(4), 536-573.

Chiu, T., Jans, M.J. (2019). Process mining of event logs: a case study evaluating internal control effectiveness. Accounting Horizons, in press.

Estañol, M., Munoz-Gama, J., Carmona, J., Teniente, E. (2019). Conformance checking in UML artifact-centric business process models. Software & Systems Modeling, 18(4), 2531-2555.

Ibanez-Sanchez, G., Fernandez-Llatas, C., Martinez-Millana, A., Celda, A., Mandingorra, J., Aparici-Tortajada, L., Valero-Ramon, Z., Munoz-Gama, J., Sepúlveda, M., Rojas, E., Gálvez, V., Capurro, D., Traver, V. (2019). Toward value-based healthcare through interactive process mining in emergency rooms: the stroke case. International Journal of Environmental Research and Public Health, 16(10), 1783.

Jans, M., Soffer, P., Jouck, T. (2019). Building a valuable event log for process mining: an experimental exploration of a guided process. Enterprise Information Systems, 13(5), 601-630.

Senderovich, A., Di Francescomarino, C., Maggi, F.M. (2019). From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring. Information Systems, 84, 255-264.

Teinemaa, I., Dumas, M., La Rosa, M., Maggi, F.M. (2019). Outcome-oriented predictive process monitoring: review and benchmark. ACM Transactions on Knowledge Discovery from Data, 13(2), 17.

Verenich, I., Dumas, M., La Rosa, M., Maggi, F.M., Teinemaa, I. (2019). Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring. ACM Transactions on Intelligent Systems and Technology, 10(4), 34.

Polyvyanyy, A., Solti, A., Weidlich, M., Di Ciccio, C., Mendling, J. (2019). Monotone precision and recall measures for comparing executions and specifications of dynamic systems. ACM Transactions on Software Engineering and Methodology, in review.

Rojas, E., Cifuentes, A., Burattin, A., Munoz-Gama, J., Sepúlveda, M., Capurro, D. (2019). Performance analysis of emergency room episodes through process mining. International Journal of Environmental Research and Public Health, 16(7), 1274.

de León, H. P., Nardelli, L., Carmona, J., vanden Broucke, S.K.L.M. (2018). Incorporating negative information to process discovery of complex systems. Information Sciences, 422, 480-496.

Di Ciccio, C., Maggi, F.M., Montali, M., Mendling, J. (2018). On the relevance of a business constraint to an event log. Information Systems, 78, 144-161.

Lee, W.L.J., Verbeek, H.M.W., Munoz-Gama, J., van der Aalst, W.M.P., Sepúlveda, M. (2018). Recomposing conformance: Closing the circle on decomposed alignment-based conformance checking in process mining. Information Sciences, 466, 55-91.

Maggi, F.M., Di Ciccio, C., Di Francescomarino, C., Kala, T. (2018). Parallel algorithms for the automated discovery of declarative process models. Information Systems, 74, 136-152.

Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P., Toussaint, P.J. (2018). Guided process discovery – a pattern-based approach. Information Systems, 76, 1-18.

Tax, N., Lu, X., Sidorova, N., Fahland, D., van der Aalst, W M.P. (2018). The imprecisions of precision measures in process mining. Information Processing Letters, 135, 1-8.

Low, W.Z., van der Aalst, W.M.P., ter Hofstede, A.H., Wynn, M.T., De Weerdt, J. (2017). Change visualisation: analysing the resource and timing differences between two event logs. Information Systems, 65, 106-123.

Rojas, E., Sepúlveda, M., Munoz-Gama, J., Capurro, D., Traver, V., Fernandez-Llatas, C. (2017). Question-driven methodology for analyzing emergency room processes using process mining. Applied Sciences, 7(3), 302.

Ritchi, H., Jans, M.J., Mendling, J., Reijers, H. (2019). The influence of business process representation on performance of different task types. Journal of Information Systems, in press.

Figl, K., Mendling, J., Tokdemir, G., Vanthienen, J. (2018). What we know and what we do not know about DMN. Enterprise Modelling and Information Systems Architectures, 13, 2.

Carmona, J., van Dongen, B., Solti, A., Weidlich, M. (2018). Conformance checking: relating processes and models. Springer: Cham.

Burattin, A., De Weerdt, J., van Dongen, B., Claes, J., van der Aalst, W.M.P. (2019). Special Issue “Business Process Intelligence”, Computing.

Munoz-Gama, J., Fernandez-Llatas, C., Martin, N., Johnson, O. (2019). Special Issue “Process-Oriented Data Science for Healthcare 2019 (PODS4H19)”, International Journal of Environmental Research and Public Health.

Munoz-Gama, J., Fernandez-Llatas, C., Martin, N., Johnson, O. (2018). Special Issue “Process-Oriented Data Science for Healthcare 2018 (PODS4H18)”, International Journal of Environmental Research and Public Health.

Denisov, V., Fahland, D., van der Aalst, W.M.P. (2019). Predictive performance monitoring of material handling systems using the performance spectrum. Proceedings of the 2019 International Conference on Process Mining, 137-144.

Martin, N., Martinez-Millana, A., Valdivieso, B., Fernandez-Llatas, C. (2019). Interactive data cleaning for process mining: a case study of an outpatient clinic’s appointment system, Lecture Notes in Business Information Processing, in press.

Fernandez-Llatas, C., Ibanez-Sanchez, G., Celda, A., Mandingorra, J., Aparici- Tortajada, L., Martinez-Millana, A., Munoz-Gama, J., Sepulveda, M., Rojas, E., Galvez,

V., Capurro, D., Traver, V. (2019). Analyzing medical emergency processes with process mining: the stroke case. Lecture Notes in Business Information Processing, 342, 214-225.

Lee, W.L.J., Munoz-Gama, J., Verbeek, H.M.W., van der Aalst, W.M.P. (2019). Improving merging conditions for recomposing conformance checking. Lecture Notes in Business Information Processing, 342, 31-43.

Taymouri, F., Carmona, J. (2019). Structural computation of alignments of business processes over partial orders. Proceedings of the International Conference on Application of Concurrency to System Design, 73-81.

Burattin, A., van Zelst, S.J., Armas-Cervantes, A., van Dongen, B.F., Carmona, J. (2018). Online conformance checking using behavioural patterns. Lecture Notes in Computer Science, 11080, 250-267.

Denisov, V., Fahland, D., van der Aalst, W.M.P. (2018). Unbiased, fine-grained description of processes performance from event data. Lecture Notes in Computer Science, 11080, 139-157.

Rojas, E., Cifuentes, A., Burattin, A., Munoz-Gama, J., Sepúlveda, M., Capurro, D. (2018). Analysis of emergency room episodes duration through process mining. Lecture Notes in Business Information Processing, 342, 251-263.

Schunselaar, D.M., Slaats, T., Maggi, F.M., Reijers, H.A., van der Aalst, W.M.P. (2018). Mining hybrid business process models: a quest for better precision. Lecture Notes in Business Information Processing, 320, 190-205.

Burattin, A., Carmona, J. (2017). A framework for online conformance checking. Lecture Notes in Business Information Processing, 308, 165-177.

Chatain, T., Carmona, J., van Dongen, B. (2017). Alignment-based trace clustering. Lecture Notes in Computer Science, 10650, 295-308.

Lu, X., Fahland, D., Andrews, R., Suriadi, S., Wynn, M.T., ter Hofstede, A.H., van der Aalst, W.M.P. (2017). Semi-supervised log pattern detection and exploration using event concurrence and contextual information. Lecture Notes in Computer Science, 10573, 154-174.

Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P. (2017). Data-driven process discovery-revealing conditional infrequent behavior from event logs. Lecture Notes in Computer Science, 10253, 545-560.

van Dongen, B., Carmona, J., Chatain, T., Taymouri, F. (2017). Aligning modeled and observed behavior: a compromise between computation complexity and quality. Lecture Notes in Computer Science, 10253, 94-109.

Debois, S., Dumas, M., Haarmann, S., Jacobsen, H. A., Jans, M.J., Mendling, J., Staples, M., Weber, B., Zerbato, F., Zhang, K. (2019). Two perspectives on blockchains: capabilities vs. features. Report from Dagstuhl Seminar 18332, 82-86.

Di Ciccio, C., García-Bañuelos, L., Jans, M.J., Mendling, J., Novotny, P., Stage, L. (2019). Factors influencing process analytics on distributed ledgers. Report from Dagstuhl Seminar 18332, 86-89.