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Publications

Displaying results 241 to 250 of 14387.
  1. Retrieval-Augmented Knowledge Integration into Language Models: A Survey

    In: Sha Li; Manling Li; Michael JQ Zhang; Eunsol Choi; Mor Geva; Peter Hase; Heng Ji (Hrsg.). Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024). Workshop on Towards Knowledgeable Language Models (KnowLLM-2024), Bangkok, Thailand, Pages 45-63, Association for Computational Linguistics, 2024.

  2. Faraz Maschhur; Klaus Netter; Sven Schmeier; Katrin Ostermann; Rimantas Palunis; Tobias Strapatsas; Roland Roller

    Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios

    In: Dina Demner-Fushman; Sophia Ananiadou; Makoto Miwa; Kirk Roberts; Junichi Tsujii (Hrsg.). Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Workshop on Biomedical Natural Language Processing (BioNLP-2024), Bangkok, Thailand, Pages 559-569, Association for Computational Linguistics, 2024.

  3. DFKI-MLST at DialAM-2024 Shared Task: System Description

    In: Yamen Ajjour; Roy Bar-Haim; Roxanne El Baff; Zhexiong Liu; Gabriella Skitalinskaya (Hrsg.). Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024). ACL Workshop on Argument Mining (ArgMining-2024), located at The 62nd Annual Meeting of the Association for Computational Linguistics, August 15, Bangkok, Thailand, Pages 93-102, Association for Computational Linguistics, 2024.

  4. Evaluating the Robustness of Adverse Drug Event Classification Models using Templates

    In: Dina Demner-Fushman; Sophia Ananiadou; Makoto Miwa; Kirk Roberts; Junichi Tsujii (Hrsg.). Proceedings of the 23rd Workshop on Biomedical Natural Language Processing. Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP-2024), located at ACL 2024, Pages 25-38, Association for Computational Linguistics, 8/2024.

  5. Insa Reichow; Lutz Goertz; Berit Blanc; Katja Buntins; Monica Hochbauer; Sheikh Faisal Rashid

    Lerntechnologien in der beruflichen Aus- und Weiterbildung. 11 Fragen - 11 Antworten.

    Ein Dossier im Rahmen des Innnovationswettbewerbs INVITE, 7/2024.

  6. Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring

    In: Luca Longo; Sebastian Lapuschkin; Christin Seifert (Hrsg.). Explainable Artificial Intelligence, Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part III. xAI: World Conference on Explainable Artificial Intelligence (xAI-2024), July 17-19, Valletta, Malta, Pages 420-438, Communications in Computer and Information Science (CCIS), Vol. 2155, ISBN 978-3-031-63799-5, Springer, Cham, 2024.

  7. Jan Ehrhardt; Hristina Uzunova; Paul Kaftan; Julia Krüger; Roland Opfer; Heinz Handels

    Focused unsupervised image registration for structure-specific population analysis

    In: Proceedings Medical Imaging 2024: Computer-Aided Diagnosis. SPIE Medical Imaging (SPIE-2024), San Diego, CA, USA, Pages 587-592, Vol. 12927, SPIE, 4/2024.

  8. Mark Niemeyer; Joachim Hertzberg; Grzegorz Cielniak

    Consolidation of symbolic instances using sensor data via tracklet merging for long-term monitoring of crops

    In: Alessio Del Bue; Cristian Canton; Jordi Pont-Tuset; Tatiana Tommasi (Hrsg.). Computer Vision - ECCV 2024 Workshops. Computer Vision in Plant Phenotyping and Agriculture (CVPPA-2024), 9th Computer Vision in Plant Phenotyping and Agriculture, located at 18th European Conference on Computer Vision ECCV 2024, September 29-30, Milano, Italy, Pages 146-159, LNCS, Vol. 15625, ISBN 978-3-031-91835-3, Springer, Cham, 5/2025.

  9. Rafal Doniec; Natalia Piaseczna; Szymon Siecinski; Marcin Grzegorzek; Ewaryst J Tkacz

    Does glucose affect our vision? A preliminary study using smart glasses

    In: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology. IEEE - Applications of Artificial Intelligence, IEEE, 2024.

  10. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.