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Publications

Displaying results 171 to 180 of 13614.

  1. Shushen Manakhimova; Eleftherios Avramidis; Vivien Macketanz; Ekaterina Lapshinova-Koltunski; Sergei Bagdasarov; Sebastian Möller

    Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can GPT-4 Outperform NMT?

    In: Proceedings of the Eighth Conference on Machine Translation (WMT). Conference on Machine Translation (WMT-2023), located at The 2023 Conference on Empirical Methods in Natural Language Processing, December 6-7, Singapore, Singapore, Association for Computational Linguistics, 12/2023.

  2. Ho Minh Duy Nguyen; Tan Pham; Nghiem Tuong Diep; Nghi Phan; Quang Pham; Vinh Tong; Binh T. Nguyen; Ngan Hoang Le; Nhat Ho; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models, December 10-16, Advances in Neural Information Processing Systems, 12/2023.

  3. Hiba Najjar; Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Francisco Mena; Miro Miranda Lorenz; Deepak Kumar Pathak; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan Oliva; Marlon Nuske; Andreas Dengel

    Feature Attributation Methods for Multivariate Time-Series Explainability in Remote Sensing

    In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), July 16-21, Pasadena, California, USA, Pages 5014-5017, IEEE Xplore, 10/2023.

  4. Leon Cedric Danter; Joachim Clemens; Andreas Serov; Anne Schattel; Michael Schleiss; Cedric Liman; Mario Gäbel; Andre Mühlenbrock; Gabriel Zachmann

    VAMEX3: AUTONOMOUSLY EXPLORING MARS WITH A HETEROGENEOUS ROBOT SWARM

    In: ASTRA Proceedings. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2023), 17th Symposium on Advanced Space Technologies in Robotics and Automation, October 18-20, Leiden, Netherlands, European Space Agency (ESA), 2023.

  5. Matthias Rüb; Jan Herbst; Christoph Lipps; Hans Dieter Schotten

    Piezoelectric Beam Path Modulation for Visible Light Communication

    In: Proceedings of the 2023 International Symposium on Networks, Computers and Communications (ISNCC). International Symposium on Networks, Computers and Communications (ISNCC-2023), October 23-26, Doha, Qatar, IEEE Xplore, 2023.

  6. Jan Herbst; Jan Petershans; Matthias Rüb; Christoph Lipps; Ann-Kathrin Beck; Joana C. Carmo; Thomas Lachmann; Hans Dieter Schotten

    Inception based Deep Learning: Biometric Identification using Electroencephalography (EEG)

    In: Proceedings of the 2023 International Symposium on Networks, Computers and Communications (ISNCC). International Symposium on Networks, Computers and Communications (ISNCC-2023), International Symposium on Networks, Computers and Communications, October 23-26, Doha, Qatar, IEEE Explore, 2023.

  7. Alex Galakatos; Andrew Crotty; Emanuel Zgraggen; Carsten Binnig; Tim Kraska

    Revisiting Reuse for Approximate Query Processing

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 10, Pages 1142-1153, Association for Computing Machinery (ACM), 2017.

  8. Erfan Zamanian; Carsten Binnig; Tim Kraska; Tim Harris

    The End of a Myth: Distributed Transaction Can Scale

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 6, Pages 685-696, Association for Computing Machinery (ACM), 2017.

  9. Abdallah Salama; Carsten Binnig; Tim Kraska; Ansgar Scherp; Tobias Ziegler

    Rethinking Distributed Query Execution on High-Speed Networks

    In: IEEE Data Engineering Bulletin, Vol. 40, No. 1, Pages 27-37, IEEE, 2017.

  10. Cagatay Turkay; Nicola Pezzotti; Carsten Binnig; Hendrik Strobelt; Barbara Hammer; Daniel A. Keim; Jean-Daniel Fekete; Themis Palpanas; Yunhai Wang; Florin Rusu

    Progressive Data Science: Potential and Challenges

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1812.08032, Pages 0-10, arXiv, 2018.

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