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Publications

Displaying results 611 to 620 of 6395.

  1. Qianli Wang; Tatiana Anikina; Nils Feldhus; Josef van Genabith; Leonhard Hennig; Sebastian Möller

    LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

    In: Su Lin Blodgett; Amanda Cercas Curry; Sunipa Dev; Michael Madaio; Ani Nenkova; Diyi Yang; Ziang Xiao (Hrsg.). Third Workshop on Bridging Human-Computer Interaction and Natural Language Processing - Proceedings of the Workshop. Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP-2024), located at NAACL 2024, June 21, Mexico City, Mexico, ISBN 979-8-89176-111-7, Association for Computational Linguistics. 2024.

  2. Siting Liang; Hans-Jürgen Profitlich; Maximilian Klass; Niko Möller-Grell; Celine-Fabienne Bergmann; Simon Heim; Christian Niklas; Daniel Sonntag

    Building A German Clinical Named Entity Recognition System without In-domain Training Data

    In: Association for Computational Linguistics. Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-2024), June 17-21, Mexico City, Mexico, ACL Anthology, 2024.

  3. Vera Schmitt; Luis-Felipe Villa-Arenas; Nils Feldhus; Joachim Meyer; Robert P. Spang; Sebastian Moeller

    The Role of Explainability in Collaborative Human-AI Disinformation Detection

    In: FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-2024), ISBN 9798400704505, Association for Computing Machinery, New York, NY, USA, 2024.

  4. Vera Schmitt; Balazs Csomor; Joachim Meyer; Luis-Felipe Villa-Arenas; Charlott Jakob; Tim Polzehl; Sebastian Möller

    Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking

    In: Proceedings of the 3rd ACM International Workshop on Multimedia AI against Disinformation. ACM International Workshop on Multimedia AI against Disinformation (MAD-24), ISBN 979-8-4007-05526, Association for Computing Machinery, New York, NY, USA, 2024.

  5. Amr Gomaa; Guillermo Reyes; Michael Feld; Antonio Krüger

    Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers

    In: Proceedings of the 29th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2024), Greenville, SC, USA, IUI '24, ISBN 9798400705083, Association for Computing Machinery, 3/2024.

  6. Zongyao Yi; Martin Günther; Joachim Hertzberg

    The Dynamic Anchoring Agent: A Probabilistic Object Anchoring Framework for Semantic World Modeling

    In: Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference. International FLAIRS Conference (FLAIRS-37), May 19-21, Miramar Beach, FL, USA, Florida Online Journals, 5/2024.

  7. Eric Lanfer; Sophia Sylvester; Nils Aschenbruck; Martin Atzmueller

    Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets

    In: Eyuphan Bulut; Florian Tschorsch; Kanchana Thilakarathna (Hrsg.). Proceedings of the 48th IEEE Conference on Local Computer Networks - LCN 2023. IEEE Conference on Local Computer Networks (LCN-2023), October 1-5, Daytona Beach, FL, USA, Pages 1-4, IEEE Xplore, 2023.

  8. Martin Ben Ahmed; Niklas Wilming; Martin Atzmueller

    Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

    In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages 1-8, IEEE, 2023.

  9. Felix Gerschner; Jonas Paul; Lukas Schmid; Nico Barthel; Victor Gouromichos; Florian Schmid; Martin Atzmueller; Andreas Theissler

    Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data

    In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages 1-7, IEEE, 2023.

  10. J.M. Górriz; I. Álvarez-Illán; A. Álvarez-Marquina; J.E. Arco; M. Atzmueller; F. Ballarini; E. Barakova; G. Bologna; P. Bonomini; G. Castellanos-Dominguez; D. Castillo-Barnes; S.B. Cho; R. Contreras; J.M. Cuadra; E. Domínguez; F. Domínguez-Mateos; R.J. Duro; D. Elizondo; A. Fernández-Caballero; E. Fernandez-Jover; M.A. Formoso; N.J. Gallego-Molina; J. Gamazo; J. García González; J. Garcia-Rodriguez; C. Garre; J. Garrigós; A. Gómez-Rodellar; P. Gómez-Vilda; M. Graña; B. Guerrero-Rodriguez; S.C.F. Hendrikse; C. Jimenez-Mesa; M. Jodra-Chuan; V. Julian; G. Kotz; K. Kutt; M. Leming; J. de Lope; B. Macas; V. Marrero-Aguiar; J.J. Martinez; F.J. Martinez-Murcia; R. Martínez-Tomás; J. Mekyska; G.J. Nalepa; P. Novais; D. Orellana; A. Ortiz; D. Palacios-Alonso; J. Palma; A. Pereira; P. Pinacho-Davidson; M.A. Pinninghoff; M. Ponticorvo; A. Psarrou; J. Ramírez; M. Rincón; V. Rodellar-Biarge; I. Rodríguez-Rodríguez; P.H.M.P. Roelofsma; J. Santos; D. Salas-Gonzalez; P. Salcedo-Lagos; F. Segovia; A. Shoeibi; M. Silva; D. Simic; J. Suckling; J. Treur; A. Tsanas; R. Varela; S.H. Wang; W. Wang; Y.D. Zhang; H. Zhu; Z. Zhu; J.M. Ferrández-Vicente

    Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    In: Information Fusion, Vol. 100, Pages 1-37, Elsevier, 2023.

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