Skip to main content Skip to main navigation

Publications

Displaying results 61 to 70 of 579.

  1. Nabeel Khalid; Anwai Archit; Luca Freckmann; Sushmita Nair; Paul Hilt; Vikas Rajashekar; Marei Freitag; Carolin Teuber; Genevieve Buckley; Sebastian von Haaren; Sagnik Gupta; Andreas Dengel; Sheraz Ahmed; Constantin Pape

    Segment Anything for Microscopy

    In: Nature, Vol. 22, Pages 579-591, Nature Methods, 2/2025.

  2. Katharina Hengel; Achim Wagner; Martin Ruskowski

    A Dynamic Multi-objective Scheduling Approach for Gradient-Based Reinforcement Learning

    In: 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024. IFAC Symposium on Information Control Problems in Manufacturing (INCOM-2024), 18th IFAC Symposium on Information Control Problems in Manufacturing, August 28-30, Vienna, Austria, Elsevier, 2024.

  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. Daniel Geißler; Bo Zhou; Paul Lukowicz

    Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation

    In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2023), August 19-25, Macao, Macao, ISBN 978-1-956792-03-4, International Joint Conferences on Artificial Intelligence, 2023.

  10. Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Tjerk Krijger; Gabriele Accarino; Igor Ruiz Atake; Sakina-Dorothée Ayata; Amanda Calatrava; Marco Mariano De Carlo; Wout Decrop; Donatello Elia; Sandro Luigi Fiore; Marco Francescangeli; Jesús Soriano-González; Jean-Olivier Irisson; Martin Laviale; Rune Lagaisse; Antoine Lebeaud; Carolin Leluschko; Germán Moltó; Antonio Augusto Sepp Neves; Enoc Martinez; Damian Smyth; Muhammad Arabi Tayyab; Vanessa Tosello; Alvaro Lopez Garcia; Dick Schaap; Gergely Sipos

    Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study

    In: Ecological Informatics, Vol. 90, Pages 1-37, Elsevier, Amsterdam, 7/2025.

Year

More options