Erfahrungsbasierte Lernende Systeme

Seite 1 von 14.

1. Eric Rietzke; Carsten Maletzki; Lisa Grumbach; Ralph Bergmann

   Hybrides wissensbasiertes Reasoning für wissensintensive Prozesse am Beispiel von Notrufabfragen

   In: Knut Hinkelmann; Thomas Hoppe; Bernhard G. Humm. Hybride KI mit Machine Learning und Knowledge Graphs: Innovative Lösungen aus der Praxis. Pages 297-318, ISBN 978-3-658-44781-6, Springer Fachmedien Wiesbaden, Wiesbaden, 3/2025.

2. Mirko Lenz; Ralph Bergmann

   ArgueMapper Assistant: Interactive Argument Mining Using Generative Language Models

   In: Max Bramer; Frederic Stahl (Hrsg.). Artificial Intelligence XLI. SGAI International Conference on Artificial Intelligence (AI-2024), 44th, December 17-19, Cambridge, United Kingdom, Pages 189-203, Lecture Notes in Computer Science (LNCS), Vol. 15446, ISBN 978-3-031-77915-2, Springer Nature Switzerland, Cham, 2025.

3. Patrick Klein; Lukas Malburg; Ralph Bergmann

   Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance

   In: Engineering Applications of Artificial Intelligence, Vol. 145, Page 110152, Elsevier, 2025.

4. Yannis Bertrand; Alexander Schultheis; Lukas Malburg; Joscha Grüger; Estefaní­a Serral Asensio; Ralph Bergmann

   Challenges in Data Quality Management for IoT-Enhanced Event Logs

   In: Research Challenges in Information Science - 19th International Conference, RCIS 2025, Proceedings. IEEE International Conference on Research Challenges in Information Science (RCIS-2025), May 20-23, Seville, Spain, Lecture Notes in Business Information Processing (LNBIP), Springer, 2025.

5. Justin Weich; Alexander Schultheis; Maximilian Hoffmann; Ralph Bergmann

   Integration of Time Series Embedding for Efficient Retrieval in Case-Based Reasoning

   In: Case-Based Reasoning Research and Development - 33rd International Conference, ICCBR 2025, Biarritz, France, June 30 - July 3rd, 2025, Proceedings. International Conference on Case-Based Reasoning (ICCBR-2025), 33rd International Conference on Case-Based Reasoning, June 30 - July 3, Biarritz, France, Lecture Notes in Computer Science (LNCS), Springer, 2025.

6. Ronny Seiger; Alexander Schultheis; Ralph Bergmann

   Case-Based Activity Detection from Segmented Internet of Things Data

   In: Case-Based Reasoning Research and Development - 33rd International Conference, ICCBR 2025, Biarritz, France, June 30 - July 3rd, 2025, Proceedings. International Conference on Case-Based Reasoning (ICCBR-2025), 33rd International Conference on Case-Based Reasoning, June 30 - July 3, Biarritz, France, Lecture Notes in Computer Science (LNCS), Springer, 2025.

7. Alexander Schultheis; David Jilg; Lukas Malburg; Simon Bergweiler; Ralph Bergmann

   Towards Flexible Control of Production Processes: A Requirements Analysis for Adaptive Workflow Management and Evaluation of Suitable Process Modeling Languages

   In: Minghai Yuan; Fengque Pei (Hrsg.). Processes, Vol. 12, No. 12, Pages 1-20, MDPI, 12/2024.

8. Martin Kuhn; Joscha Grüger; Christoph Matheja; Andrey Rivkin

   LogPPL: A Tool for Probabilistic Process Mining

   In: Jochen De Weerdt; Giovanni Meroni; Han van der Aa; Karolin Winter (Hrsg.). ICPM Doctoral Consortium and Demo Track 2024. International Conference on Process Mining (ICPM-2024), 6th International Conference on Process Mining (ICPM 2024), located at ICPM 2024, October 14-18, Copenhagen, Denmark, Vol. 3783, CEUR Workshop Proceedings, 10/2024.

9. Alexander Schultheis; Benjamin Alt; Sebastian Bast; Achim Guldner; David Jilg; Darko Katic; Johannes Mundorf; Tobias Schlagenhauf; Sebastian Weber; Ralph Bergmann; Simon Bergweiler; Lars Creutz; Guido Dartmann; Lukas Malburg; Stefan Naumann; Mahdi Rezapour; Martin Ruskowski

   EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing

   In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Springer, 9/2024.

10. Martin Kuhn; Joscha Grüger; Christoph Matheja; Andrey Rivkin

    Data Petri Nets Meet Probabilistic Programming

    In: Andrea Marrella; Manuel Resinas; Mieke Jans; Michael Rosemann (Hrsg.). Proceedings of the 22nd International Conference on Business Process Management. Business Process Management (BPM-2024), September 1-6, Krakow, Poland, Pages 21-38, LNCS, Vol. 14940, ISBN 978-3-031-70396-6, Springer, Switzerland, 9/2024.

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