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Making sense of fossils and artefacts: a review of best practices for the design of a successful workflow for machine learning-assisted citizen science projects
Isaak Eijkelboom, Anne S. Schulp, Luc W. S. W. Amkreutz, Dylan Verheul, Wouter Verschoof‐van der Vaart, Sasja van der Vaart-Verschoof, +5 more
3citations -
MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat2022 CentAUR (University of Reading) book-chapter Computer Science Model-Driven Software Engineering Techniques Open access
Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz, Bernhard Rumpe⋆, Armin Moin, Atta Badii, +2 more
3citations -
Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets2022 Computers & Geosciences article Computer Science Advanced Neural Network Applications Open access
Jiaxin Yu, Florian Wellmann, Simon Virgo, Marven von Domarus, Mingze Jiang, Joyce Schmatz, +1 more
30citations -
Report on the FAIR Semantics workshop to discuss ontology design good practices and evaluate the first recommendations and the roadmap (M2.6)2020 Zenodo (CERN European Organization for Nuclear Research) report Computer Science Semantic Web and Ontologies Open access
Wim Hugo, Yann Le Franc, Gerard Coen, Luiz Olavo Bonino, Jessica Parland-von Essen
0citations -
Computational Characterization of Membrane Proteins as Anticancer Targets: Current Challenges and Opportunities2024 International Journal of Molecular Sciences article Computer Science Computational Drug Discovery Methods Open access
Marina Gorostiola González, Willem Jespers, Adriaan P. IJzerman, Laura H. Heitman, Gerard J. P. van Westen
3citations -
The FAIR Data Point Populator: collaborative FAIRification and population of FAIR Data Points2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Research Data Management Practices Open access
Daphne Wijnbergen, Rajaram Kaliyaperumal, Luiz Olavo Bonino da Silva Santos, Barend Mons, Marco Roos, Eleni Mina
0citations -
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification2023 Scientific Data data-paper Computer Science Advanced Neural Network Applications Open access cited by 1 patent
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
1,037citations -
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification2021 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
73citations -
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
0citations