Group by:
Item Type |
YearNumber of items: 17.
Article in a journal
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.
Vol. 22
(2023)
.
- pp. 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.
Vol. 20
(2021)
.
- pp. 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.
Vol. 132
(2021)
.
- 106472.
ISSN 0950-5849
DOI: https://doi.org/10.1016/j.infsof.2020.106472
Article in a book
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
(ed.):
Business Process Management : 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings. -
Cham
: Springer
,
2024
. - pp. 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
(ed.):
Advanced Information Systems Engineering : proceedings. -
Cham
: Springer
,
2023
. - pp. 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
(ed.):
Advanced Information Systems Engineering : proceedings. -
Cham
: Springer
,
2023
. - pp. 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
(ed.):
Model-Driven Organizational and Business Agility : Revised Selected Papers. -
Cham
: Springer Nature
,
2023
. - pp. 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
. - pp. 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
(ed.):
Enterprise, Business-Process and Information Systems Modeling : 23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Proceedings. -
Cham
: Springer
,
2022
. - pp. 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
(ed.):
The Practice of Enterprise Modeling. -
Cham
: Springer
,
2021
. - pp. 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
(ed.):
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
. - pp. 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
(ed.):
Quality of Information and Communications Technology : 14th International Conference, QUATIC 2021, Algarve, Portugal, September 8–11, 2021, Proceedings. -
Cham
: Springer
,
2021
. - pp. 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
. - pp. 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
(ed.):
Enterprise and Organizational Modeling and Simulation. -
Cham
: Springer
,
2019
. - pp. 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
(ed.):
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
. - pp. 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, discussion paper
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 p.
DOI: https://doi.org/10.48550/arXiv.2406.01786
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