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Interaktives Maschinelles Lernen

Publikationen

Seite 1 von 22.

  1. Perceived Text Relevance Estimation Using Scanpaths and GNNs

    In: Proceedings of the 26th International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2024), November 4-8, San Jose, Costa Rica, Pages 418-427, ICMI '24, ISBN 9798400704628, Association for Computing Machinery, New York, NY, USA, 11/2024.

  2. Exploring Gaze-Based Menu Navigation in Virtual Environments

    In: Proceedings of the 2024 ACM Symposium on Spatial User Interaction (SUI '24). ACM Symposium on Spatial User Interaction (SUI-2024), October 7-8, Trier, Germany, Pages 1-2, No. 40, ISBN 9798400710889, Association for Computing Machinery, New York, NY, USA, 10/2024.

  3. László Kopácsi; Panagiotis Karagiannis; Sotiris Makris; Johan Kildal; Andoni Rivera-Pinto; Judit Ruiz de Munain; Jesús Rosel; Maria Madarieta; Nikolaos Tseregkounis; Konstantina Salagianni; Panagiotis Aivaliotis; Michael Barz; Daniel Sonntag

    The MASTER XR Platform for Robotics Training in Manufacturing

    In: Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology (VRST '24). ACM Symposium on Virtual Reality Software and Technology (VRST-2024), October 9-11, Trier, Germany, Pages 1-2, No. 67, ISBN 9798400705359, Association for Computing Machinery, New York, NY, USA, 10/2024.

  4. László Kopácsi; Tobias Sebastian Schneider; Chiara Karr; Michael Barz; Daniel Sonntag

    GazeLock: Gaze- and Lock Pattern-Based Authentication

    In: Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology (VRST '24). ACM Symposium on Virtual Reality Software and Technology (VRST-2024), October 9-11, Trier, Germany, Pages 1-2, No. 94, ISBN 9798400705359, Association for Computing Machinery, New York, NY, USA, 10/2024.

  5. 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.

  6. A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets\\(Extended Abstract)

    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. Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues

    In: Proceedings of the 2024 International Conference on Information Technology for Social Good. ACM International Conference on Information Technology for Social Good (GoodIT-2024), September 4-6, Bremen, Germany, GoodIT '24, ISBN 9798400710940, Association for Computing Machinery, 9/2024.

  8. 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.

  9. FormTwin: A Framework for Pen-based Data Collection

    In: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2024), July 1-4, Cagliari, Italy, Pages 132-135, ISBN 979-8-4007-0466-6/24/07, ACM Digital Library, 7/2024.

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Interaktives Maschinelles Lernen
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Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Interaktives Maschinelles Lernen
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66123 Saarbrücken
Deutschland