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Myriel Fichtner
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2020 – today
- 2024
- [b1]Myriel Fichtner:
Verbesserung von Prozessmodellen durch relevante Prozessdetails. Bayreuth University, Germany, 2024 - 2023
- [c11]Myriel Fichtner
, Sascha Sucker
Enriching Process Models with Relevant Process Details for Flexible Human-Robot Teaming. CollaborateCom (3) 2023: 249-269 - [c10]Nicolai Schützenmeier
Scenario-Based Model Checking of Declarative Process Models. ICEIS (2) 2023: 406-417 - 2022
- [c9]Myriel Fichtner
An Experimental Study of Intuitive Representations of Process Task Annotations. CoopIS 2022: 311-321 - [c8]Myriel Fichtner
A Specification of How to Extract Relevant Process Details to Improve Process Models. ICEIS (Revised Selected Papers) 2022: 391-414 - [c7]Sebastian Petter, Myriel Fichtner, Stefan Jablonski:
Considering User Preferences During Business Process Execution Using Content-Based Filtering. ICEIS (Revised Selected Papers) 2022: 415-429 - [c6]Myriel Fichtner
How LIME Explanation Models Can Be Used to Extend Business Process Models by Relevant Process Details. ICEIS (2) 2022: 527-534 - [c5]Sebastian Petter, Myriel Fichtner
Content-based Filtering for Worklist Reordering to improve User Satisfaction: A Position Paper. ICEIS (2) 2022: 589-596 - 2020
- [c4]Myriel Fichtner
Using Image Mining Techniques from a Business Process Perspective. ICEIS (Revised Selected Papers) 2020: 62-83 - [c3]Myriel Fichtner
Process Management Enhancement by using Image Mining Techniques: A Position Paper. ICEIS (1) 2020: 249-255
2010 – 2019
- 2019
- [j1]Christian Sturm, Myriel Fichtner
Full Support for Efficiently Mining Multi-Perspective Declarative Constraints from Process Logs. Inf. 10(1): 29 (2019) - 2017
- [c2]Eric M. Orendt, Myriel Fichtner
MINERIC toolkit: Measuring instruments to evaluate robustness and intuitiveness of robot programming concepts. RO-MAN 2017: 1379-1386 - 2016
- [c1]Eric M. Orendt, Myriel Fichtner
Robot programming by non-experts: Intuitiveness and robustness of One-Shot robot programming. RO-MAN 2016: 192-199
Coauthor Index
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last updated on 2024-10-16 20:30 CEST by the dblp team
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