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Publications

Displaying results 1811 to 1820 of 14713.

  1. Maurice Rekrut; Johannes Ihl; Tobias Jungbluth

    Electrode Reduction for EEG-based Imagined Speech BCI Applications

    In: 5th International Neuroergonomics Conference. Neuroergonomics Conference (NEC-2024), July 8-12, Bordeaux, France, Frontiers in Neuroergonomics, 2024.

  2. Ioannis Reppas; Meghdad Mirabi; Leila Fathi; Carsten Binnig; Anton Dignös; Johann Gamper

    Parallel Processing of Temporal Anti-Joins in Memory

    In: Proceedings of the 29th International Conference on Database Systems for Advanced Applications (DASFAA). International Conference on Database Systems for Advanced Applications (DASFAA-2024), July 2-5, Gifu, Japan, Springer, 2024.

  3. René Klaus Nikiel; Meghdad Mirabi; Carsten Binnig

    TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework

    In: 2024 54rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2024). Workshop on Dependable and Secure Machine Learning (DSML-2024), located at DSN 2024, June 24, Brisbane, Queensland, Australia, ISBN 979-8-3503-9572-3, IEEE, 2024.

  4. Lisa Raithel; Philippe Thomas; Bhuvanesh Verma; Roland Roller; Hui-Syuan Yeh; Shuntaro Yada; Cyril Grouin; Shoko Wakamiya; Eiji Aramaki; Sebastian Möller; Pierre Zweigenbaum

    Overview of #SMM4H 2024 -- Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese

    In: Dongfang Xu; Graciela Gonzalez-Hernandez (Hrsg.). Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks. Social Media Mining for Health Research and Applications Workshop (SMM4H-2024), located at ACL 2024, August 15, Bangkok, Thailand, Pages 170-182, Association for Computational Linguistics, 2024.

  5. Yuxuan Chen; Daniel Röder; Justus-Jonas Erker; Leonhard Hennig; Philippe Thomas; Sebastian Möller; Roland Roller

    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.

  6. 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.

  7. Arne Björn Binder; Tatiana Anikina; Leonhard Hennig; Simon Ostermann

    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.

  8. Dorothea MacPhail; David Harbecke; Lisa Raithel; Sebastian Möller

    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.

  9. 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.

  10. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    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.

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