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Publications

Displaying results 91 to 100 of 578.

  1. Thomas Röfer; Tim Laue; Arne Hasselbring; Fynn Böse; Lukas Malte Monnerjahn; Kelke van Lessen

    B-Human 2023 - Object and Gesture Detection

    In: Cédric Buche; Alessandra Rossi; Marco Simões; Ubbo Visser (Hrsg.). RoboCup 2023: Robot World Cup XXVI. RoboCup International Symposium (RoboCup-2023), July 10, Bordeaux, France, Pages 395-406, Lecture Notes in Artificial Intelligence (LNAI), Vol. 14140, Springer, 2024.

  2. Andreas Schliebitz; Heiko Tapken; Martin Atzmueller

    Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2023), October 9-11, Marburg, Germany, Pages 399-413, CEUR Workshop Proceedings, Vol. 3630, CEUR-WS.org, 2023.

  3. Julia Mayer; Martin Memmel; Johannes Ruf; Dhruv Patel; Lena Hoff; Sascha Henninger

    Progressing towards Estimates of Local Emissions from Trees in Cities: A Transdisciplinary Framework Integrating Available Municipal Data, AI, and Citizen Science

    In: Antonio Fernández-Caballero; Nuno Alexandre Ribeiro Costa; António Pereira (Hrsg.). Applied Sciences, Vol. 14, No. 1, Page 396, MDPI, 2024.

  4. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    A Deep Generative Model for Interactive Data Annotation through Direct Manipulation in Latent Space

    DFKI, DFKI Research Reports (RR), Vol. 2305.15337v1, 5/2023.

  5. Hannes Kath; Bengt Lüers; Thiago Gouvea; Daniel Sonntag

    A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models

    DFKI, DFKI Research Reports (RR), Vol. 2305.15353v1, 5/2023.

  6. Md Abdul Kadir; Amir Mosavi; Daniel Sonntag

    Evaluation Metrics for XAI: A Review, Taxonomy, and Practical Applications

    In: 2023 IEEE 27th International Conference on Intelligent Engineering Systems (INES). Conference on Intelligent Engineering Systems (INES-2023), July 26-28, Nairobi, Kenya, Pages 000111-000124, IEEE, 2023.

  7. 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.

  8. 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.

  9. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Sum-Product Networks for Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03297, Pages 0-10, arXiv, 2017.

  10. Alejandro Molina; Sriraam Natarajan; Kristian Kersting

    Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

    In: Satinder Singh; Shaul Markovitch (Hrsg.). Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2017), February 4-9, San Francisco, California, USA, Pages 2357-2363, AAAI Press, 2017.

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