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  1. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization

    In: Cognitive Computation, Vol. 16, No. 5, Pages 2674-2700, Springer, 9/2024.

  2. Kamala Aliyeva; Nijat Mehdiyev

    Uncertainty-aware multi-criteria decision analysis for evaluation of explainable artificial intelligence methods: A use case from the healthcare domain

    In: Information Sciences, Vol. 657, Page 119987, Elsevier, 1/2024.

  3. Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal

    A Hybrid Approach for Document Layout Analysis in Document images

    In: International Conference on Document Analysis and Recognition (ICDAR-2024). International Conference on Document Analysis and Recognition (ICDAR-2024), 18th International Conference on Document Analysis and Recognition, August 30 - September 4, Athen, Greece, Pages 1-15, Springer Lecture Notes in Computer Science (LNCS), Springer Nature, Switzerland, 9/2024.

  4. Tobias Dreesbach; Henning Gösling; Jan Schulte to Brinke; Martin Kasselmann

    AR-Based Learning in Vocational Training — Evaluation of Learning Outcome Comparing Augmented Reality and Teacher-Instructed Learning Units

    In: People First: Constructing Digital Futures Together. European Conference on Information Systems (ECIS-2024), People First: Constructing Digital Futures Together, located at 32nd European Conference on Information Systems, June 13-19, Paphos, Cyprus, Association for Information Systems, 6/2024.

  5. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective

    In: Annals of Operations Research (AOR), Pages 1-40, Springer, 4/2024.

  6. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    Active Learning in Multi-label Classification of Bioacoustic Data

    In: Dietmar Seipel; Alexander Steen (Hrsg.). KI 2024: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2024), 47th German Conference on AI, Würzburg, Germany, September 25–27, 2023, Proceedings, located at 47th German Conference on AI, September 25-27, Würzburg, Germany, Germany, LNAI, Springer, Heidelberg, 9/2024.

  7. Hannes Kath; Patricia P. Serafin; Ivan B. Campos; Thiago Gouvea; Daniel Sonntag

    Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning

    In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2024), located at IJCAI, August 03-09, Jeju. International Joint Conference on Artificial Intelligence (IJCAI-2024), August 3-9, Jeju, Korea, Republic of, International Joint Conferences on Artificial Intelligence, 8/2024.

  8. Niko Kleer; Martin Feick; Amr Gomaa; Michael Feld; Antonio Krüger

    Bridging the Gap to Natural Language-based Grasp Predictions through Semantic Information Extraction

    In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2024), October 14-18, Abu Dhabi, United Arab Emirates, Pages 7476-7483, IEEE, 2024.

  9. Niko Kleer; Leon Weyand; Michael Feld; Klaus Berberich

    Capturing Task-related Information for Text-based Grasp Classification using Fine-tuned Embeddings

    In: Elmar Nöth; Aleš Horák; Petr Sojka (Hrsg.). 27th International Conference, TSD 2024, Brno, Czech Republic, September 9–13, 2024. International Conference on Text, Speech and Dialogue (TSD-2024), September 9-13, Brno, Czech Republic, Pages 288-299, ISBN 978-3-031-70566-3, Springer International Publishing, Switzerland, 9/2024.

  10. Niko Kleer; Ole Keil; Martin Feick; Amr Gomaa; Tim Schwartz; Michael Feld

    Incorporation of the Intended Task into a Vision-based Grasp Type Predictor for Multi-fingered Robotic Grasping

    In: 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human Interactive Communication (RO-MAN-2024), August 26-30, Pasadena, California, USA, Pages 1301-1307, IEEE, 2024.

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