Interactive Machine Learning

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1. Novruz Mammadli; Thiago Gouvea; Daniel Sonntag

   Multi-species Mixing for Weakly Supervised SED Under Domain Shift

   In: Diedrich Wolter; Gesina Schwalbe (Hrsg.). KI 2026: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2026), 49th German Conference on Artificial Intelligence, August 11-14, Bremen, Germany, Pages 269-276, Lecture Notes in Computer Science (LNCS), Vol. 16830, ISBN 978-3-032-32335-4, Springer Nature Switzerland, Cham, 2027.

2. Hannes Kath; Thiago Gouvea; Daniel Sonntag

   Novel class identification: A human-in-the-loop approach for efficient species recognition in bioacoustic data

   In: Jeffrey W. Doser (Hrsg.). Methods in Ecology and Evolution, Pages 1-18, Wiley Online Library, 7/2026.

3. Keno Nanninga; Abdulrahman Mohamed Selim; Sara-Jane Bittner; Pascal Lessel; Michael Barz; Daniel Sonntag

   Train the Spire: An ML-Driven Single Player GWAP for Image Annotation

   In: Proceedings of the 2026 Symposium on Eye Tracking Research and Applications. Symposium on Eye Tracking Research & Applications (ETRA), Marrakesh, Morocco, Pages 1-5, No. 55, ISBN 979-8-4007-2519-7, Association for Computing Machinery (ACM), New York, NY, USA, 6/2026.

4. Christoph Albert Johns; László Kopácsi; Michael Barz; Daniel Sonntag

   Heads Up!: Towards In Situ Photogrammetry Annotations and Augmented Reality Visualizations for Guided Backcountry Skiing

   In: AlpCHI Demos: Hands-On Innovation: Interactive Demos. International Conference on Human-Computer Interaction in the Alps (AlpCHI-2026), March 1-5, Ascona, Switzerland, AlpCHI, 3/2026.

5. Sara-Jane Bittner; Michael Barz; Daniel Sonntag

   FunduScope: a human-centered, machine learning-based interactive tool for training junior ophthalmologists in diabetic retinopathy detection

   In: Frontiers in Big Data, Vol. Volume 9 - 2026, Pages 1-14, Frontiers Media SA, 3/2026.

6. Omar Adjali; Siting Liang; Omair Shahzad Bhatti; Daniel Sonntag

   Aligning Instruction-Tuned LLMs for Event Extraction with Multi-objective Reinforcement Learning

   In: Springer (Hrsg.). Advances in Information Retrieval. European Conference on Information Retrieval (ECIR), 48th European Conference on Information Retrieval, located at ECIR-2026, March 29 - April 2, Delft, Netherlands, ISBN 978-3-032-21300-6, Springer, Cham, 3/2026.

7. László Kopácsi; Abdulrahman Mohamed Selim; Arham Ahmed; Michael Barz; Daniel Sonntag

   GazeDrift: A Balloon-Popping Serious Game for Eye Tracking Troubleshooting in VR

   In: 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (IEEEVR-2026), March 21-25, Daegu, Korea, Republic of, IEEE, 3/2026.

8. László Kopácsi; Michael Barz; Daniel Sonntag

   GTK: An Open-Source Toolkit for Gaze-based Interaction in XR

   In: 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (IEEEVR-2026), March 21-25, Daegu, Korea, Republic of, IEEE, 3/2026.

9. László Kopácsi; Abdulrahman Mohamed Selim; Michael Barz; Daniel Sonntag

   GTK: A Gaze-Based Interaction Toolkit in XR

   In: 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (IEEEVR-2026), March 21-25, Daegu, Korea, Republic of, IEEE, 3/2026.

10. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    The Speed-up Factor: A Quantitative Multi-Iteration Active Learning Performance Metric

    In: Transactions on Machine Learning Research (TMLR), Pages 1-22, 2/2026.

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