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1. Tobias Wirth; Mihai Maftei; Rosa Esther Martin Peña; Iris Merget

   Towards Trusted AI: A Blueprint for Ethics Assessment in Practice

   In: Rebekka Görge; Elena Haedecke; Maximilian Poretschkin; Anna Schmitz (Hrsg.). Symposium on Scaling AI Assessments (SAIA 2024). Symposium on Scaling AI Assessments (SAIA-2024), September 30 - October 1, Cologne, Germany, Pages 1201-1219, Open Access Series in Informatics, Vol. 126, ISBN ISSN 2190-6807, Schloss Dagstuhl - Leibniz Center for Informatics, 1/2025.

2. Muhammad Saif Ullah Khan; Sankalp Sinha; Didier Stricker; Marcus Liwicki; Muhammad Zeshan Afzal

   Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation

   In: IEEE Access (IEEE), Vol. 12, Pages 1-1, IEEE, 11/2024.

3. Noriyuki Tanaka; Ko Watanabe; Shoya Ishimaru; Andreas Dengel; Shingo Ata; Manato Fujimoto

   Concentration Estimation in Online Video Lecture Using Multimodal Sensors

   In: Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing Pervasive and Ubiquitous Computing (UbiComp Companion '24). International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2024), October 5-9, Melbourne, Australia, ISBN 979-8-4007-1058-2/24/10, Association for Computing Machinery, 10/2024.

4. Mahta Bakhshizadeh; Heiko Maus; Andreas Dengel

   Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data

   In: Proceedings of the 18th ACM Conference on Recommender Systems. ACM Recommender Systems (RecSys-2024), located at 18th ACM Conference on Recommender Systems, October 14-18, Bari, Italy, RecSys '24, ISBN 9798400705052, Association for Computing Machinery, 10/2024.

5. Mahta Bakhshizadeh

   Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems

   In: Proceedings of the 18th ACM Conference on Recommender Systems. ACM Recommender Systems (RecSys-2024), located at 18th ACM Conference on Recommender Systems, October 14-18, Bari, Italy, Association for Computing Machinery, 10/2024.

6. 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.

7. Nabeel Khalid; Maria Caropresse; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

   CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images

   In: 33rd International Conference on Artificial Neural Networks ICANN. International Conference on Artificial Neural Networks (ICANN-2024), September 17-20, Lugano, Switzerland, Springer Nature, Switzerland, 9/2024.

8. 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.

9. Mahta Bakhshizadeh; Christian Jilek; Heiko Maus; Andreas Dengel

   Towards Context-aware Recommender Systems for Supporting Knowledge Workers in Personal and Corporate Information Space

   In: Workshop Proceedings of INFORMATIK 2024. AI@WORK Workshop (AI@WORK-2024), located at INFORMATIK Festival 2024, September 24, Wiesbaden, Germany, Gesellschaft für Informatik (GI), 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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