Alle Publikationen sortiert nach Aktualität

Luke T Taverne, Matteo Cognolato, Tobias Bützer, Roger Gassert und Otmar Hilliges, Video-based Prediction of Hand-grasp Preshaping with Application to Prosthesis Control, in: 2019 International Conference on Robotics and Automation (ICRA), Montreal, Quebec, Canada, Seiten 4975 - 4982, IEEE, 2019
[DOI]
Jean-Paul Calbimonte, Simon Martin, Davide Calvaresi, Nancy Zappellaz, Roger Hilfiker und Alexandre Cotting, Semantic Data Models for Hiking Trail Difficulty Assessment, in: ENTER Information and Communication Technologies in Tourism, Seiten 295-306, Springer, 2020
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[DOI]
Gianluca Rizzo, Routing in Post-Disaster Scenarios, Kapitel 3.9, Elsevier, 2019
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Valentino Piana, Sylvain Weber, Alperen Bektas und René Schumann, Electric vehicle customers in Switzerland, Poster presented at SCCER Mobility Annual Conference., 2019
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[DOI]
Mara Graziani, Henning Müller und Vincent Andrearczyk, Interpreting intentionally flawed models with linear probes, in: ICCV workshop on statistical deep learning in computer vision, Seoul, Korea, 2019
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Jerome Treboux und Dominique Genoud, High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms, Bern, Switzerland, Seiten 103-108, IEEE 2019 6th Swiss Conference on Data Science (SDS), 2019
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[DOI]
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Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan und Henning Müller, Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology (2019), in: Frontiers in Bioengineering and Biotechnology-Bioinformatics and Computational Biology
  • []: (IF 2017= 5.122)

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Manfredo Atzori und Henning Müller, Parallel feature extraction tools to speed up feature extraction (2019), in: Frontiers in Neurorobotics
  • []: (IF 2017= 3.000)

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Linda Cappellato, Nicola Ferro, David Losada und Henning Müller, CLEF 2019 Working Notes, in: CEUR Workshop Proceedings (CEUR- WS.org), 2019
Pierre Vanhulst, Florian Evéquoz, Raphaël Tuor und Denis Lalanne, A Descriptive Attribute-Based Framework for Annotations in Data Visualization, in: Computer Vision, Imaging and Computer Graphics Theory and Applications, Seiten 143-166, {Springer International Publishing}, 2019
[DOI]