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Publications

Displaying results 211 to 220 of 14764.

  1. Jakob Fabian Lehmann; Gesa Wimberg; Serge Autexier; Alberto Acebes; Agni Delvinioti; Nicoletta di Giorgi; Thrasyvoulos Giannakopoulos; Christos Kalloniatis; Konstantina Kostopoulou; Sofoklis Kyriazakos; Costas Lambrinoudakis; Danae Lekka; Andreas Menegatos; Giulio Pagliari; Aristodemos Pnevmatikakis; Monique Tabak

    Federated Learning in Multi-Center, Personalized Healthcare for COPD and Comorbidities: The RE-SAMPLE Platform.

    In: Sylvia Pelayo (Hrsg.). Proceedings 18th International Conference on Health Informatics (HEALTHINF 2025), 20-22 February 2025. International Conference on Health Informatics (HEALTHINF-2025), 18th International Conference on Health Informatics, located at BIOSTEC-2025, February 20-22, Porto, Portugal, ISBN 978-989-758-731-3, SCITEPRESS, 2/2025.

  2. Pascal Grittmann; Ömercan Yazici; Iliyan Georgiev; Philipp Slusallek

    Efficiency-aware multiple importance sampling for bidirectional rendering algorithms

    In: ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022). ACM Siggraph (Siggraph-2022), August 8-11, Vancouver, Canada, Online, 7/2022.

  3. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  4. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  5. Patrick Klein; Lukas Malburg; Ralph Bergmann

    Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance

    In: Engineering Applications of Artificial Intelligence, Vol. 145, Page 110152, Elsevier, 2025.

  6. Sallar Ahmadi-Pour; Sangeet Saha; Klaus McDonald-Maier; Rolf Drechsler

    MESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time SystemsMESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time Systems

    In: ACM Transactions on Design Automation of Electronic Systems (TODAES), ACM, 2025.

  7. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

  8. Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler

    Surprise Benchmarking: The Why, What, and How

    In: Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024. International Workshop on Testing Database Systems (DBTest), Pages 1-8, ACM, 2024.

  9. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Anupam Sanghi; Carsten Binnig

    Automating Enterprise Data Engineering with LLMs

    In: NeurIPS 2024 Third Table Representation Learning Workshop. Table Representation Learning Workshop (TRL), located at NeurIPS 2024, December 14, NeurIPS, 2024.

  10. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Matthias Urban; Anupam Sanghi; Carsten Binnig

    LLMs for Data Engineering on Enterprise Data

    In: Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, VLDB 2024. International Workshop on Tabular Data Analysis (TaDA), VLDB.org, 2024.

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