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Publikationen

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  1. Robert Rettig; Felix Becker; Alexander Berghoff; Tobias Binkele; Wolfram Michael Butter; Tilman Floehr; Martin Krumm; Carolin Leluschko; Florian Littau; Elmar Reinders; Eike Rodenbäck; Tobias Schmid; Sabine Schründer; Sören Schweigert; Michael Sinhuber; Jens Wellhausen; Frederic Theodor Stahl; Christoph Tholen

    Multi-Resolution Remote Sensing Dataset for the Detection of Anthropogenic Litter: A Multi-Platform and Multi-Sensor Approach

    In: Data (Data), Vol. 10, No. 7, Pages 1-10, MDPI, Basel, 7/2025.

  2. On The Optimisation Of Machine Learning Models For Predicting The Photosynthetically Available Radiation In The Water Column

    In: Marco Scarpa; Salvatore Cavalieri; Salvatore Serrano; Fabrizio De Vita (Hrsg.). Proceedings of the 39th ECMS International Conference on Modelling and Simulation ECMS 2025. International Conference on Modelling and Simulation (ECMS-2025), June 24-27, Catania, Italy, Pages 531-537, Communications of the ECMS, Vol. 39, No. 1, ISBN 978-3-937 436-86-9, ECMS, United Kingdom, 6/2025.

  3. ON THE LOCATION-INDEPENDENT RECONSTRUCTION OF PHOTOSYNTHETICALLY ACTIVE RADIATION IN THE WATER COLUMN USING NEURAL NETWORKS

    In: 39th ECMS International Conference on Modelling and Simulation ECMS 2025. International Conference on Modelling and Simulation (ECMS-2025), 39th ECMS International Conference on Modelling and Simulation ECMS 2025, June 24-27, Catania, Italy, Pages 538-544, Vol. 39, No. 1, ISBN ISBN 978-3-937 436-86-9, ECMS, United Kingdom, 6/2025.

  4. On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications

    In: Max Bramer; Frederic Stahl (Hrsg.). Artificial Intelligence XLI. SGAI International Conference on Artificial Intelligence (AI-2024), December 17-19, Oxford, United Kingdom, Pages 47-60, ISBN 978-3-031-77915-2, Springer Nature Switzerland, 2025.

  5. Lars Nolle; Nils Meinardus; Martin Kumm; Christoph Tholen

    Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem

    In: Artificial Intelligence XLI. SGAI International Conference on Artificial Intelligence (AI-2024), 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17–19, 2024, Proceedings, Part II, December 17-19, Cambridge, United Kingdom, Pages 270-275, SGAI (SGAI 2024), Vol. 15447, Springer Nature Switzerland, Cham, 11/2024.

  6. Model Generalisation for Predicting the Amount of Photosynthetically Available Radiation in the Water Column from Freefall Profiler Observations

    In: ECMS 2024, 38th Proceedings. International Conference on Modelling and Simulation (ECMS-2024), June 4-7, Crakow, Poland, Pages 1-6, ISBN 978-3-937436-84-5, ECMS, United Kingdom, 6/2024.

  7. On the performance evaluation of synchronous and asynchronous parallel particle swarm optimisation

    In: ECMS 2024, 38th Proceedings. International Conference on Modelling and Simulation (ECMS-2024), June 4-7, Crakow, Poland, Pages 1-7, ISBN 978-3-937436-84-5, ECMS, 6/2024.

  8. 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.

  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.

  10. Christoph Tholen; Mattis Wolf; Carolin Leluschko; Oliver Zielinski

    Machine learning on multisensor data from airborne remote sensing to monitor plastic litter in oceans and rivers (PlasticObs+)

    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, 2023.