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Publications

Displaying results 61 to 70 of 571.

  1. Dayananda Herurkar; Federico Raue; Andreas Dengel

    Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection

    In: Association for Computing Machinery (ACM) (Hrsg.). Proceedings of the 5th ACM International Conference on AI in Finance. International Conference on AI in Finance (ICAIF-2024), ICAIF '24, located at ICAIF, November 14-17, Brooklyn, New York, New York, USA, Pages 804-812, Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24), No. 9, ISBN 9798400710810, Association for Computing Machinery, New York, NY, USA, 11/2024.

  2. Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker

    AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy

    In: IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, Institute of Electrical and Electronics Engineers (IEEE), 2025.

  3. Daniel Sonntag; Thiago Gouvea; Michael Barz; Aliki Anagnostopoulou; Siting Liang; Sara-Jane Bittner; Franziska Scheurer

    The Interactive Deep Learning Enterprise (No-IDLE) meets ChatGPT

    German Research Center for AI, DFKI Technical Report, 2024.

  4. Jeremy Paul Coffelt; Amos Smith; Niklas Conen; Peter Kampmann

    Segmentation of Multibeam Echosounder Bathymetry and Backscatter

    In: OCEANS 2024 Singapore. OCEANS MTS/IEEE Conference (OCEANS-2024), April 14-18, Singapore, Singapore, IEEE, 2024.

  5. Pervaiz Khan; Adread Dengel; Sheraz Ahmed

    Medi-CAT: Contrastive Adversarial Training for Medical Image Classification

    In: Proceedings of ICAART 2024. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.

  6. Noshaba Cheema; Rui Xu; Nam Hee Kim; Perttu Hämäläinen; Vladislav Goliyanik; Marc Habermann; Christian Theobalt; Philipp Slusallek

    Discovering Fatigued Movements for Virtual Character Animation

    In: Conference Papers. ACM SiggraphAsia (SigAsia-2023), December 12-15, Sydney, Australia, ISBN 979-8-4007-0315-7/23/12, ACM, 2023.

  7. Md Abdul Kadir; Hasan Md Tusfiqur Alam; Pascale Maul; Hans-Jürgen Profitlich; Moritz Wolf; Daniel Sonntag

    Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project

    3/2024.

  8. Andreas Winter; Boris Brandherm; Michael Igel; Peter Schegner

    Klassische Stromnetzberechnung in Kombination mit künstlicher Intelligenz zur Analyse und Diagnose von Stromverteilnetzen

    In: VDE FNN / ETG Tutorial Schutz- und Leittechnik. VDE FNN / ETG Tutorial Schutz- und Leittechnik, VDE Verlag GmbH, 2/2022.

  9. Abdul Rafey Aftab; Michael von der Beeck; Steven Rohrhirsch; Benoit Diotte; Michael Feld

    Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects

    In: IEEE (Hrsg.). 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE Intelligent Vehicles Symposium (IV-2021), 32th Intelligent Vehicles Symposium, located at IV21, July 11-17, Nagoya, Japan, Pages 1108-1115, ISBN 978-1-7281-5394-0, IEEE, 11/2021.

  10. Pierre Gutierrez; Maria Luschkova; Antoine Cordier; Mustafa Shukor; Mona Schappert; Tim Dahmen

    Synthetic training data generation for deep learning based quality inspection

    Quality Control by Artificial Vision 2021, 2021.

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