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Publications

Displaying results 331 to 340 of 668.
  1. Dayananda Herurkar; Timur Sattarov; Jörn Hees; Sebastian Palacio; Federico Raue; Andreas Dengel

    Cross-Domain Transformation for Outlier Detection on Tabular Datasets

    In: IJCNN 2023 : International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2023), located at IJCNN, June 18-23, Gold Coast Convention and Exhibition Centre, Queensland, Australia, DFKI Research Reports (RR), IEEE Xplore, 2023.

  2. Nele Brügge; Gesine Marie Sallandt; Ronja Schappert; Frédéric Li; Alina Siekmann; Marcin Grzegorzek; Tobias Bäumer; Christian Frings; Christian Beste; Roland Stenger; Veit Roessner; Sebastian Fudickar; Heinz Handels; Alexander Münchau

    Automated Motor Tic Detection: A Machine Learning Approach

    In: Movement Disorders, John Wiley & Sons (Wiley), 5/2023.

  3. Burak Mergen; Tarek Safi; Matthias Nadig; Gopal Bhattrai; Loay Daas; Jan Alexandersson; Berthold Seitz

    Detecting the corneal neovascularisation area using artificial intelligence

    In: British Journal of Ophthalmology (BJO), BMJ Publishing Group Ltd, 2023.

  4. Michael Backenköhler; Paula Linh Kramer; Joschka Groß; Gerrit Großmann; Roman Joeres; Azat Tagirdzhanov; Dominique Sydow; Hamza Ibrahim; Floriane Odje; Verena Wolf; Andrea Volkamer

    TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications

    In: ChemRxiv, Vol. ChemRxiv Online, ChemRxiv.org, 5/2023.

  5. 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.

  6. Scalable Evaluation Pipeline of CNN-based perception for Robotic Sensor Data under different Environment Conditions

    In: 2023 European Conference on Mobile Robots. European Conference on Mobile Robots (ECMR-2023), September 4-7, Coimbra, Portugal, IEEE, 2023.

  7. Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions

    In: Proceedings of the 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN-2023), October 4-6, Bruges, Belgium, ISBN 978-2-87587-088-9. i6doc.com publ. 10/2023.

  8. Amos Smith; Jeremy Coffelt; Kai Lingemann

    A Deep Learning Framework for Semantic Segmentation of Underwater Environments

    In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.

  9. Michael Lutter; Boris Belousov; Kim Listmann; Debora Clever; Jan Peters

    HJB optimal feedback control with deep differential value functions and action constraints

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 640-650, Proceedings of Machine Learning Research (PMLR), Vol. 100, PMLR, 2019.

  10. Mohammad Amin Rezaei; Arman Fathollahi; Sajad Rezaei; Jiefeng Hu; Meysam Gheisarnejad; Ali Reza Teimouri; Rituraj Rituraj; Amirhosein Mosavi; Mohammad-Hassan Khooban

    Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles

    In: IEEE Access (IEEE), Vol. 10, Pages 132271-132287, IEEE, 12/2022.