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researcher

Urszula Jessen

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.DB1
ORCID 0000-0002-7282-8451

identity via Semantic Scholar / OpenAlex

most citedChit-Chat or Deep Talk: Prompt Engineering for Process Mining

8 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2024★ 1 cited

Re-Thinking Process Mining in the AI-Based Agents Era

Alessandro Berti, Mayssa Maatallah, Urszula Jessen +2

Large Language Models (LLMs) have emerged as powerful conversational interfaces, and their application in process mining (PM) tasks has shown promising results. However, state-of-t…

cs.DB2024

Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge

Alessandro Berti, Urszula Jessen, Wil M. P. van der Aalst +1

Object-centric event logs, allowing events related to different objects of different object types, represent naturally the execution of business processes, such as ERP (O2C and P2P…

cs.AI2023★ 8 cited

Chit-Chat or Deep Talk: Prompt Engineering for Process Mining

Urszula Jessen, Michal Sroka, Dirk Fahland

This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.