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Publications

Displaying results 271 to 280 of 662.

  1. 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.

  2. 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.

  3. Prasetya Utama; Nathaniel Weir; Fuat Basik; Carsten Binnig; Ugur Çetintemel; Benjamin Hättasch; Amir Ilkhechi; Shekar Ramaswamy; Arif Usta

    An End-to-end Neural Natural Language Interface for Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1804.00401, Pages 0-10, arXiv, 2018.

  4. Nathaniel Weir; Andrew Crotty; Alex Galakatos; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Ugur Çetintemel; Prasetya Utama; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Carsten Binnig

    DBPal: Weak Supervision for Learning a Natural Language Interface to Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1909.06182, Pages 0-10, arXiv, 2019.

  5. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor with Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1904.01279, Pages 0-10, arXiv, 2019.

  6. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Towards learning a partitioning advisor with deep reinforcement learning

    In: Rajesh Bordawekar; Oded Shmueli (Hrsg.). Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2019), aiDM@SIGMOD, July 5, Amsterdam, Netherlands, Pages 6:1-6:4, ACM, 2019.

  7. Abdallah Salama; Alexander Linke; Igor Pessoa Rocha; Carsten Binnig

    XAI: A Middleware for Scalable AI

    In: Slimane Hammoudi; Christoph Quix; Jorge Bernardino (Hrsg.). Proceedings of the 8th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2019), July 26-28, Prague, Czech Republic, Pages 109-120, SciTePress, 2019.

  8. Raúl Domínguez; Mariela De Lucas Alvarez; Siddhant Kadwe; Christoph Hertzberg; Siddhant Shete; Leon Cedric Danter; Marko Jankovik; Shubham Vyas; Jonas Eisenmenger; Pierre Willenbrock; André Felmet; Vikram Unnithan; Frank Kirchner

    PerSim: Perception for Planetary Prospection and Internal Simulation

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

  9. Lala Ray; Daniel Geißler; Bo Zhou; Paul Lukowicz; Berit Greinke

    Capafoldable: Self-Tracking Foldable Smart Textiles With Capacitive Sensing

    In: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2023), Cancun, Mexico, UbiComp/ISWC '23 Adjunct, ISBN 9798400702006, Association for Computing Machinery, 2023.

  10. Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

    Towards Decentralized Parameter Servers for Secure Federated Learning

    In: Alfredo Cuzzocrea; Oleg Gusikhin; Wil M. P. van der Aalst; Slimane Hammoudi (Hrsg.). Proceedings of the 11th International Conference on Data Science, Technology and Applications. International Conference on Data Science, Technology and Applications (DATA-2022), July 11-13, Lisbon, Portugal, Pages 257-269, SCITEPRESS, 2022.

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