Lars Ackermann

41 papers A 4B 3C 2Journal 16Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving next process activity prediction with scarce event log data using data augmentation with large language models. Inf. Syst. Martin Käppel, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
2026	J	`jnl`	Repeat, reorder, rephrase: data augmentation for process information extraction. Softw. Syst. Model. Julian Neuberger, Lars Ackermann, Stefan Jablonski
2025	J	`jnl`	Explaining transformer-based next activity prediction by using attention scores. Process Sci. Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl
2025	J	`jnl`	FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring. CoRR Felix Möhrlein, Martin Käppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
2025	—	`conf`	FairLoop: Software Support for Human‑Centric Fairness in Predictive Business Process Monitoring. BPM (Demos / Resources Forum) Felix Möhrlein, Martin Käppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
2024	A	`conf`	A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text Using Large Language Models. ER Julian Neuberger, Lars Ackermann, Han van der Aa, Stefan Jablonski
2024	J	`jnl`	A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models. CoRR Julian Neuberger, Lars Ackermann, Han van der Aa, Stefan Jablonski
2024	B	`conf`	Assisted Data Annotation for Business Process Information Extraction from Textual Documents. CoopIS Julian Neuberger, Han van der Aa, Lars Ackermann, Daniel Buschek, Jannic Herrmann, Stefan Jablonski
2024	J	`jnl`	Assisted Data Annotation for Business Process Information Extraction from Textual Documents. CoRR Julian Neuberger, Han van der Aa, Lars Ackermann, Daniel Buschek, Jannic Herrmann, Stefan Jablonski
2024	A	`conf`	Attention Please: What Transformer Models Really Learn for Process Prediction. BPM Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl
2024	J	`jnl`	Attention Please: What Transformer Models Really Learn for Process Prediction. CoRR Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl
2024	—	`conf`	Leveraging Data Augmentation for Process Information Extraction. BPMDS/EMMSAD@CAiSE Julian Neuberger, Leonie Doll, Benedikt Engelmann, Lars Ackermann, Stefan Jablonski
2024	J	`jnl`	Leveraging Data Augmentation for Process Information Extraction. CoRR Julian Neuberger, Leonie Doll, Benedict Engelmann, Lars Ackermann, Stefan Jablonski
2024	J	`jnl`	Recent Advances in Data-Driven Business Process Management. CoRR Lars Ackermann, Martin Käppel, Laura Marcus, Linda Moder, Sebastian Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl, Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam Schaschek, Sven Weinzierl, Niklas Wördehoff, Stefan Jablonski, Agnes Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma, Maximilian Röglinger, Stefan Schönig, Axel Winkelmann
2023	J	`jnl`	Automaton-based comparison of Declare process models. Softw. Syst. Model. Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter
2023	B	`conf`	Beyond Rule-Based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text. CoopIS Julian Neuberger, Lars Ackermann, Stefan Jablonski
2023	J	`jnl`	Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text. CoRR Julian Neuberger, Lars Ackermann, Stefan Jablonski
2023	A	`conf`	Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques. CAiSE Lars Ackermann, Julian Neuberger, Martin Käppel, Stefan Jablonski
2023	—	`conf`	Comparing the Expressiveness of Imperative and Declarative Process Models. MOBA Nicolai Schützenmeier, Stefan Jablonski, Martin Käppel, Lars Ackermann
2023	J	`jnl`	Correction: Automaton-based comparison of Declare process models. Softw. Syst. Model. Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter
2021	A	`conf`	Data-Driven Annotation of Textual Process Descriptions Based on Formal Meaning Representations. CAiSE Lars Ackermann, Julian Neuberger, Stefan Jablonski
2021	J	`jnl`	Language-independent look-ahead for checking multi-perspective declarative process models. Softw. Syst. Model. Martin Käppel, Lars Ackermann, Stefan Schönig, Stefan Jablonski
2020	J	`jnl`	IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution. Softw. Syst. Model. Stefan Schönig, Lars Ackermann, Stefan Jablonski, Andreas Ermer
2020	J	`jnl`	The RALph miner for automated discovery and verification of resource-aware process models. Softw. Syst. Model. Cristina Cabanillas, Lars Ackermann, Stefan Schönig, Christian Sturm, Jan Mendling
2019	—	`conf`	Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes. BPMDS/EMMSAD@CAiSE Martin Käppel, Nicolai Schützenmeier, Stefan Schönig, Lars Ackermann, Stefan Jablonski
2018	—	`conf`	An Integrated Architecture for IoT-Aware Business Process Execution. BPMDS/EMMSAD@CAiSE Stefan Schönig, Lars Ackermann, Stefan Jablonski, Andreas Ermer
2018	B	`conf`	Deep Learning Process Prediction with Discrete and Continuous Data Features. ENASE Stefan Schönig, Richard Jasinski, Lars Ackermann, Stefan Jablonski
2018	—	`conf`	Execution of Multi-perspective Declarative Process Models. OTM Conferences (2) Lars Ackermann, Stefan Schönig, Sebastian Petter, Nicolai Schützenmeier, Stefan Jablonski
2018	C	`conf`	Internet of Things Meets BPM: A Conceptual Integration Framework. SIMULTECH Stefan Schönig, Lars Ackermann, Stefan Jablonski
2018	—	`conf`	Language-centric Approaches for Improving Business Process Model Acceptance. BPM (Dissertation/Demos/Industry) Lars Ackermann
2018	—	`—`	Sprachzentrierte Ansätze zur Steigerung der Akzeptanz von Geschäftsprozessmodellen Lars Ackermann
2018	C	`conf`	Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models. MODELSWARD Stefan Schönig, Lars Ackermann, Stefan Jablonski
2017	—	`conf`	DPIL Navigator 2.0: Multi-Perspective Declarative Process Execution. BPM (Demos) Stefan Schönig, Lars Ackermann, Stefan Jablonski
2016	—	`conf`	Ansätze zum Ähnlichkeitsabgleich von deklarativen Geschäftsprozessmodellen. GI-Jahrestagung Michaela Baumann, Michael Heinrich Baumann, Lars Ackermann, Stefan Schönig, Stefan Jablonski
2016	J	`jnl`	Inter-Paradigm Translation of Process Models using Simulation and Mining. CoRR Lars Ackermann, Stefan Schönig, Stefan Jablonski
2016	—	`conf`	MuDePS: Multi-perspective Declarative Process Simulation. BPM (Demos) Lars Ackermann, Stefan Schönig
2016	—	`conf`	Simulation of Multi-perspective Declarative Process Models. Business Process Management Workshops Lars Ackermann, Stefan Schönig, Stefan Jablonski
2016	—	`conf`	Towards Simulation- and Mining-Based Translation of Process Models. EOMAS@CAiSE Lars Ackermann, Stefan Schönig, Stefan Jablonski
2016	—	`conf`	Towards Simulation- and Mining-based Translation of Resource-aware Process Models. Business Process Management Workshops Lars Ackermann, Stefan Schönig, Stefan Jablonski
2015	—	`conf`	Natural Language Generation for Declarative Process Models. EOMAS@CAiSE Lars Ackermann, Stefan Schönig, Michael Zeising, Stefan Jablonski
2013	—	`conf`	model[NL]generation: natural language model extraction. DSM@SPLASH Lars Ackermann, Bernhard Volz