Arvid Lepsien - Personal Website

Hi, and welcome to my website. My name is Arvid Lepsien, and I am currently working at the Department of Computer Science at Kiel University as a PhD student with Prof. Dr. Agnes Koschmider at the Process Analytics Group. My research interests include process mining, especially process mining for unstructured data sources, and general applications of data science in business contexts.

Publications

2024

Ranking the Top-K Realizations of Stochastically Known Event Logs
A. Lepsien, M. Pegoraro, F. Fonger, D. Langhammer, M. Aleknonytė-Resch, A. Koschmider
Presented at: Fifth International Workshop on Event Data and Behavioral Analytics (EdbA’24) at ICPM 2024, Kgs. Lyngby, Denmark. [Submitted Version (PDF)][Workshop Pre-Proceedings]

Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event Logs
F. Fonger, N. Nebelung, A. Lepsien, M. Aleknonytė-Resch, A. Koschmider
Presented at: 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024) at ICPM 2024, Kgs. Lyngby, Denmark. [Submitted version (PDF)][Workshop Pre-Proceedings]

Automatisierte Identifizierung von Verhaltenssequenzen bei Mastschweinen durch videodatenbasierte Verhaltenserkennung und Process Mining
A. Melfsen, A. Lepsien, J. Bosselmann, A. Koschmider, E. Hartung
16. Tagung: Bau, Technik und Umwelt in der landwirtschaftlichen Nutztierhaltung, Freising, Germany, 10.-12.09.2024 [Proceedings]

Describing Behavior Sequences of Fattening Pigs Using Process Mining on Video Data and Automated Pig Behavior Recognition (Extended Abstract)
A. Lepsien, A. Melfsen, J. Bosselmann, A. Koschmider, E. Hartung
EMISA 2024, Potsdam, Germany. (Journal First Presentation). [Open Access at GI Digital Library][DOI]

Process Mining for Unstructured Data: Challenges and Research Directions
A. Koschmider, M. Aleknonytė-Resch, F. Fonger, C. Imenkamp, A. Lepsien, K. Apaydin, M. Harms, D. Janssen, D. Langhammer, T. Ziolkowski, Y. Zisgen
Modellierung 2024, Potsdam, Germany. [Open Access at GI Digital Library][DOI]

2023

Künstliche Intelligenz für Tierwohl: Aktivitätserkennung und Process-Mining im Schweinestall
A. Lepsien, A. Melfsen, A. Koschmider, T. Jäggle
Springer Wirtschaftsinformatik & Management (2023). [Open Access at SpringerLink][DOI]

Analytics Pipeline for Process Mining on Video Data
A. Lepsien, A. Koschmider, W. Kratsch
BPM 2023 Forum, Utrecht, The Netherlands. [PDF][SpringerLink][DOI]

Describing Behavior Sequences of Fattening Pigs Using Process Mining on Video Data and Automated Pig Behavior Recognition
A. Melfsen, A. Lepsien, J. Bosselmann, A. Koschmider, E. Hartung
MDPI Agriculture (2023). [Open Access at MDPI.com][DOI]

Quantifying Uncertainty for Explainable Process Mining (PhD Proposal)
A. Lepsien
EMISA 2023, Stockholm, Sweden. [Open Access at CEUR-WS.org]

2022

Process Mining on Video Data
A. Lepsien, J. Bosselmann, A. Melfsen, A. Koschmider
ZEUS 2022, Bamberg, Germany. [Open Access at CEUR-WS.org]

Impressum