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Publications

Displaying results 131 to 140 of 661.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Siddhant Shete; Raúl Domínguez; Ravisankar Selvaraju; Mariela De Lucas Alvarez; Frank Kirchner

    Prediction-Based Tip Over Prevention for Planetary Exploration Rovers

    In: Spiros Pantelakis; Andreas Strohmayer; Nikolaos Michailidis (Hrsg.). 14th EASN International Conference. EASN International Conference on Innovation in Aviation and Space for opening New Horizons, Innovation in Aviation & Space towards sustainability today & tomorrow, October 8-11, Thessaloniki, Greece, Engineering Proceedings Journal (Eng. Proc. 2025), Vol. 90(1), No. 44, MDPI, Thessaloniki, Greece, 3/2025.

  10. Ahmed Anwar; Brian Moser; Dayananda Herurkar; Federico Raue; Vinit Heiste; Tatjana Legler; Andreas Dengel

    FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

    In: 2nd Federated Learning Technologies and Applications Conference 2024. International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-19, Valencia, Spain, IEEEXplore, 2024.

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