Veröffentlichungen "Käppel, Martin"

Artikel in einer Zeitschrift

Ahmeti, Engjëll ; Käppel, Martin ; Jablonski, Stefan:
Redescription mining-based business process deviance analysis.
In: Software and Systems Modeling. (16 November 2024) .
ISSN 1619-1374
DOI: https://doi.org/10.1007/s10270-024-01231-8

Schützenmeier, Nicolai ; Käppel, Martin ; Ackermann, Lars ; Jablonski, Stefan ; Petter, Sebastian:
Automaton-based comparison of Declare process models.
In: Software and Systems Modeling. Bd. 22 (2023) . - S. 667-685.
ISSN 1619-1374
DOI: https://doi.org/10.1007/s10270-022-01069-y

Käppel, Martin ; Ackermann, Lars ; Schönig, Stefan ; Jablonski, Stefan:
Language-independent look-ahead for checking multi-perspective declarative process models.
In: Software and Systems Modeling. Bd. 20 (2021) . - S. 1379-1401.
ISSN 1619-1374
DOI: https://doi.org/10.1007/s10270-020-00857-8

Käppel, Martin ; Schönig, Stefan ; Jablonski, Stefan:
Leveraging Small Sample Learning for Business Process Management.
In: Information and Software Technology. Bd. 132 (2021) . - 106472.
ISSN 0950-5849
DOI: https://doi.org/10.1016/j.infsof.2020.106472

Aufsatz in einem Buch

Käppel, Martin ; Ackermann, Lars ; Jablonski, Stefan ; Härtl, Simon:
Attention Please: What Transformer Models Really Learn for Process Prediction.
In: Marrella, Andrea ; Resinas, Manuel ; Jans, Mieke ; Rosemann, Michael (Hrsg.): Business Process Management : 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings. - Cham : Springer , 2024 . - S. 203-220 . - (Lecture Notes in Computer Science ; 14940 )
ISBN 978-3-031-70396-6
DOI: https://doi.org/10.1007/978-3-031-70396-6_12

Ackermann, Lars ; Neuberger, Julian ; Käppel, Martin ; Jablonski, Stefan:
Bridging Research Fields : An Empirical Study on Joint, Neural Relation Extraction Techniques.
In: Indulska, Marta ; Reinhartz-Berger, Iris ; Cetina, Carlos ; Pastor, Oscar (Hrsg.): Advanced Information Systems Engineering : proceedings. - Cham : Springer , 2023 . - S. 471-486 . - (Lecture Notes in Computer Science ; 13901 )
ISBN 978-3-031-34560-9
DOI: https://doi.org/10.1007/978-3-031-34560-9_28

Käppel, Martin ; Jablonski, Stefan:
Model-Agnostic Event Log Augmentation for Predictive Process Monitoring.
In: Indulska, Marta ; Reinhartz-Berger, Iris ; Cetina, Carlos ; Pastor, Oscar (Hrsg.): Advanced Information Systems Engineering : proceedings. - Cham : Springer , 2023 . - S. 381-397 . - (Lecture Notes in Computer Science ; 13901 )
ISBN 978-3-031-34560-9
DOI: https://doi.org/10.1007/978-3-031-34560-9_23

Schützenmeier, Nicolai ; Jablonski, Stefan ; Käppel, Martin ; Ackermann, Lars:
Comparing the Expressiveness of Imperative and Declarative Process Models.
In: Babkin, Eduard ; Barjis, Joseph ; Malyzhenkov, Pavel ; Merunka, Vojtěch ; Molhanec, Martin (Hrsg.): Model-Driven Organizational and Business Agility : Revised Selected Papers. - Cham : Springer Nature , 2023 . - S. 16-31 . - (Lecture Notes in Business Information Processing ; 488 )
ISBN 978-3-031-45010-5
DOI: https://doi.org/10.1007/978-3-031-45010-5_2

Schützenmeier, Nicolai ; Käppel, Martin ; Fichtner, Myriel ; Jablonski, Stefan:
Scenario-Based Model Checking of Declarative Process Models.
In: Proceedings of the 25th International Conference on Enterprise Information Systems. Volume 2. - Prague : SciTePress , 2023 . - S. 406-417
ISBN 978-989-758-648-4
DOI: https://doi.org/10.5220/0011856400003467

Käppel, Martin ; Ahmeti, Engjëll ; Jablonski, Stefan:
Deviance Analysis by Means of Redescription Mining.
In: Augusto, Adriano ; Gill, Asif ; Bork, Dominik ; Nurcan, Selmin ; Reinhartz-Berger, Iris ; Schmidt, Rainer (Hrsg.): Enterprise, Business-Process and Information Systems Modeling : 23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Proceedings. - Cham : Springer , 2022 . - S. 91-107 . - (Lecture Notes in Business Information Processing ; 450 )
ISBN 978-3-031-07475-2
DOI: https://doi.org/10.1007/978-3-031-07475-2_7

Schützenmeier, Nicolai ; Käppel, Martin ; Petter, Sebastian ; Jablonski, Stefan:
Upper-Bounded Model Checking for Declarative Process Models.
In: Serral, Estefania ; Stirnas, Janis ; Jolita, Ralyté ; Jānis, Grabis (Hrsg.): The Practice of Enterprise Modeling. - Cham : Springer , 2021 . - S. 195-211 . - (Lecture Notes in Business Information Processing ; 432 )
ISBN 978-3-030-91279-6
DOI: https://doi.org/10.1007/978-3-030-91279-6_14

Käppel, Martin ; Jablonski, Stefan ; Schönig, Stefan:
Cost-Sensitive Predictive Business Process Monitoring.
In: Bellatreche, Ladjel ; Dumas, Marlon ; Karras, Panagiotis ; Matulevicius, Raimundas ; Awad, Ahmed ; Weidlich, Matthias ; Ivanovic, Mirjana ; Hartig, Olaf (Hrsg.): New Trends in Database and Information Systems : ADBIS 2021 Short Papers, Doctoral Consortium and Workshops: DOING, SIMPDA, MADEISD, MegaData, CAoNS, Tartu, Estonia, August 24-26, 2021, Proceedings. - Cham : Springer , 2021 . - S. 14-26 . - (Communications in Computer and Information Science ; 1450 )
ISBN 978-3-030-85082-1
DOI: https://doi.org/10.1007/978-3-030-85082-1\_2

Käppel, Martin ; Jablonski, Stefan ; Schönig, Stefan:
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs.
In: Paiva, Ana C. R. ; Cavalli, Ana Rosa ; Martins, Paula Ventura ; Pérez-Castillo, Ricardo (Hrsg.): Quality of Information and Communications Technology : 14th International Conference, QUATIC 2021, Algarve, Portugal, September 8–11, 2021, Proceedings. - Cham : Springer , 2021 . - S. 167-182 . - (Communications in Computer and Information Science ; 1439 )
ISBN 978-3-030-85346-4

Kumar, Chettan ; Käppel, Martin ; Schützenmeier, Nicolai ; Eisenhuth, Philipp ; Jablonski, Stefan:
A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters.
In: Proceedings of the 8th International Conference on Data Science, Technology and Applications. Volume 1. DATA. - Prag , 2019 . - S. 408-415
ISBN 978-989-758-377-3
DOI: https://doi.org/10.5220/0008117404080415

Schützenmeier, Nicolai ; Käppel, Martin ; Petter, Sebastian ; Schönig, Stefan ; Jablonski, Stefan:
Detection of Declarative Process Constraints in LTL Formulas.
In: Pergl, Robert ; Babkin, Eduard ; Lock, Russell ; Malyzhenkov, Pavel ; Merunka, Vojtěch (Hrsg.): Enterprise and Organizational Modeling and Simulation. - Cham : Springer , 2019 . - S. 131-145 . - (Lecture Notes in Business Information Processing ; 366 )
ISBN 978-3-030-35646-0
DOI: https://doi.org/10.1007/978-3-030-35646-0_10

Käppel, Martin ; Schützenmeier, Nicolai ; Schönig, Stefan ; Ackermann, Lars ; Jablonski, Stefan:
Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes.
In: Reinhartz-Berger, Iris ; Zdravkovic, Jelena ; Gulden, Jens ; Schmidt, Rainer (Hrsg.): Enterprise, Business-Process and Information Systems Modeling : 20th International Conference, BPMDS 2019, 24th International Conference, EMMSAD 2019, Held at CAiSE 2019, Rome, Italy, June 3-4, 2019, Proceedings. - Cham : Springer , 2019 . - S. 53-68 . - (Lecture Notes in Business Information Processing ; 352 )
ISBN 978-3-030-20618-5
DOI: https://doi.org/10.1007/978-3-030-20618-5_4

Working paper, Diskussionspapier

Ackermann, Lars ; Käppel, Martin ; Marcus, Laura ; Moder, Linda ; Dunzer, Sebastian ; Hornsteiner, Markus ; Liessmann, Annina ; Zisgen, Yorck ; Empl, Philip ; Herm, Lukas-Valentin ; Neis, Nicolas ; Neuberger, Julian ; Poss, Leo ; Schaschek, Myriam ; Weinzierl, Sven ; Wördehoff, Niklas ; Jablonski, Stefan ; Koschmider, Agnes ; Kratsch, Wolfgang ; Matzner, Martin ; Rinderle-Ma, Stefanie ; Röglinger, Maximilian ; Schönig, Stefan ; Winkelmann, Axel:
Recent Advances in Data-Driven Business Process Management.
Bayreuth , 2024 . - 34 S.
DOI: https://doi.org/10.48550/arXiv.2406.01786