Publications
For the latest publication data and accurate citation, please visit my DBLP page: https://dblp.org/pid/62/5839-40.html
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(2026). Mining Resource Grouping from Event Logs to Support Work Assignment Decisions. Data & Knowledge Engineering, (accepted, in press).
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(2026). Discovering Deviant Behavior in Organizations via Process Mining. Array, (under review).
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(2026). Discovering Work Specialization through Process Mining. IEEE Transactions on Service Computing, (accepted, in press).
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(2026). Developing RPA UI Interaction Patterns to Guide Bot Design. In Proceedings of the 24th International Conference on Business Process Management (BPM 2026), Toronto, Canada, (accepted, in press).
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(2026). Neural Federated Learning for Livestock Growth Prediction. In International Joint Conference on Neural Networks IJCNN 2026, (accepted, in press). doi:10.48550/arXiv.2603.28117
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(2025). An RPA-BPMS Integration Framework Leveraging RPA as a Resource. In Proceedings of the Business Process Management: Responsible BPM Forum, Process Technology Forum, Educators Forum - BPM 2025 RBPM, PT, and Educators Forum, Seville, Spain, 153–167. doi:10.1007/978-3-032-02936-2_12
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(2025). Predicting Newcomer Capabilities and Performance in Process Execution. In Proceedings of Business Process Management Forum - BPM 2025 Forum, Seville, Spain, 308–324. doi:10.1007/978-3-032-02929-4_18
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(2023). Learning execution contexts from event logs (Extended Abstract). In Proceedings of the 2nd International Workshop on Process Management in the AI Era (PMAI 2023) co-located with 31st International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao S.A.R, 3569, 33–36.
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(2022). OrdinoR: A framework for discovering, evaluating, and analyzing organizational models using event logs. Decision Support Systems, 158, 113771. doi:10.1016/J.DSS.2022.113771 [pdf] [demo]
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(2022). No Time to Dice: Learning Execution Contexts from Event Logs for Resource-Oriented Process Mining. In Proceedings of the 20th International Conference on Business Process Management (BPM 2022), Münster, Germany, 13420, 163–180. doi:10.1007/978-3-031-16103-2_13 [pdf]
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(2022). Crop Harvest Forecast via Agronomy-Informed Process Modelling and Predictive Monitoring. In Proceedings of the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), Leuven, Belgium, 13295, 201–217. doi:10.1007/978-3-031-07472-1_12 [pdf]
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(2021). Seeing the Forest for the Trees: Group-Oriented Workforce Analytics. In Proceedings of the 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, 12875, 345–362. doi:10.1007/978-3-030-85469-0_22 [pdf] [demo]
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(2021). Discovering Organizational Knowledge via Process Mining. In Proceedings of the Doctoral Consortium Papers presented at the 33rd International Conference on Advanced Information Systems Engineering (CAiSE 2021), Melbourne, Australia, 2906, 41–48.
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(2018). Finding the "Liberos": Discover Organizational Models with Overlaps. In Proceedings of the 16th International Conference on Business Process Management (BPM 2018), Sydney, NSW, Australia, 11080, 339–355. doi:10.1007/978-3-319-98648-7_20 [pdf]
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(2017). Analysis on Communication Cost and Team Performance in Team Formation Problem. In Proceedings of the 13th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2017), Edinburgh, UK, 252, 435–443. doi:10.1007/978-3-030-00916-8_41 [pdf]
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(2017). Team formation in business process context. In Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017), Wellington, New Zealand, 73–78. doi:10.1109/CSCWD.2017.8066673 [pdf]