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Marine Perception

Publikationen

Seite 3 von 12.

  1. Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review

    In: Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Proceedings. SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2023), December 12-14, Campbridge, United Kingdom, Lecture Notes in Computer Science (LNCS), Vol. 14381, Springer Nature Switzerland AG, Cham, 12/2023.

  2. On Explanations for Hybrid Artificial Intelligence

    In: Max Bramer; Frederic Theodor Stahl (Hrsg.). Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023. SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2023), December 12-14, Cambridge, United Kingdom, Pages 3-15, Lecture Notes in Computer Science (LNCS), Vol. 14381, Springer Nature Switzerland AG, Cham, 12/2023.

  3. On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research

    In: Artificial Intelligence XL - SGAI 2023, International Conference on Innovative Techniques and Applications of Artificial Intelligence. SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2023), December 12-14, Cambridge, United Kingdom, Pages 204-209, Lecture Notes in Computer Science (LNCS, volume 14381), Vol. 14381, Springer Nature Switzerland AG, Basel, 11/2023.

  4. Frederic Theodor Stahl; Max Bramer (Hrsg.)

    Artificial Intelligence XL, 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12–14, 2023, Proceedings

    SGAI International Conference on Artificial Intelligence (AI-2023), December 12-14, Cambridge, United Kingdom, Lecture Notes in Computer Science (LNCS, volume 14381) (LNCS), ISBN 978-3-031-47993-9, Springer Nature Switzerland AG, Cham, 11/2023.

  5. Navya Prakash; Dorothea Nieberl; Monika Mayer; Alfons Schuster

    Learning defects from aircraft NDT data

    In: NDT & E International, Vol. 138, No. 102885, Pages 1-13, Elsevier, Online, 9/2023.

  6. Naeem Iqbal; Christoph Manss; Christian Scholz; Daniel Koenig; Matthias Igelbrink; Arno Ruckelshausen

    AI-based Maize and Weeds detection on the edge with CornWeed Dataset

    In: Proceedings of the 18th Conference on Computer Science and Intelligence Systems. Workshop on AI in Agriculture (AgriAI-2023), located at 18th FedCSIS, September 17-20, Warsaw, Poland, Institute of Electrical and Electronics Engineers, 9/2023.

  7. Anke Dittmer; Tobias Stolzmann; Friedemann Kammler; Martin Günther; Oliver Ferdinand; Oliver Thomas; Joachim Hertzberg; Oliver Zielinski

    Der Dynamic Anchoring Agent: Wissensrepräsentation und Reasoning zur automatischen Wiedererkennung von individuellen Objekten

    In: Sara D'Onofrio; Stefan Meinhardt (Hrsg.). Robotik in der Wirtschaftsinformatik. Chapter 16, Pages 343-360, Edition HMD, ISBN 978-3-658-39621-3, Springer Fachmedien Wiesbaden, Wiesbaden, 8/2023.

  8. Thomas J. Browning; Mak A. Saito; Shungudzemwoyo P. Graba; Xuechao Wang; Eric P. Achterberg; C. Mark Moore; Anja Engel; Matthew R. Mcllvin; Dawn Moran; Daniela Voss; Oliver Zielinski; Alessandro Tagliabue

    Persistent equatorial Pacific iron limitation under ENSO forcing

    In: Nature, Pages 1-22, Springer Nature Switzerland AG, 8/2023.

  9. Mattis Wolf; Diajeng Wulandari Atmojo; Christoph Tholen; Oliver Zielinski

    Improved deep learning based litter detection in aquatic environments in Indonesia using drones

    In: Proceedings of OCEANS 2023. OCEANS MTS/IEEE Conference (OCEANS-2023), June 5-8, Limerick, Ireland, Pages 1-7, ISBN 979-8-3503-3226-1, IEEE, 6/2023.

Kontakt

Sekretariat:
Monika Topp
Tel.: +49 421 17845 4711

Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
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Marine Perception
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26129 Oldenburg
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