Papers matching “machine learning training” 1,169
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Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer2025 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies Open access
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R. Pond, Lisa Vandermeer, John Frederick Hilton, +17 more
0citations -
Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study2026 Journal of Medical Internet Research article Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies Open access
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R. Pond, Lisa Vandermeer, John Frederick Hilton, +19 more
0citations -
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 -
Ontology pre-training improves machine learning-based predictions for metabolites2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Charlotte Tumescheit, Martin Glauer, Simon Flügel, Martin F. Larralde, Fabian Neuhaus, Till Mossakowski, +1 more
0citations -
How to enrich training data for machine learning-based landslide hazard prediction with spatio-temporal precipitation information?2026 Georisk Assessment and Management of Risk for Engineered Systems and Geohazards article Environmental Science Landslides and related hazards Open access
Ann-Kathrin Edrich, Anil Yıldiz, Ribana Roscher, Julia Kowalski
1citations -
How to enrich training data for machine learning-based landslide hazard prediction with spatio-temporal precipitation information?2026 Georisk Assessment and Management of Risk for Engineered Systems and Geohazards article Environmental Science Landslides and related hazards Open access
Ann-Kathrin Edrich, Anil Yıldiz, Ribana Roscher, Julia Kowalski
0citations -
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning: Slices OOD (reference reconstructions and segmentations)2023 Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands other Medicine Medical Imaging Techniques and Applications Open access
Maximilian B. Kiss, Sophia Bethany Coban, K. Joost Batenburg, Tristan van Leeuwen, Felix F. Lucka
3citations -
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning: Slices OOD (reference reconstructions and segmentations)2023 Zenodo (CERN European Organization for Nuclear Research) dataset Medicine Medical Imaging Techniques and Applications Open access
Maximilian B. Kiss, Sophia Bethany Coban, K. Joost Batenburg, Tristan van Leeuwen, Felix F. Lucka
0citations -
FLAG-X: Hybrid machine learning workflows for automated gating of clinical flow cytometry data2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Paul Martini, Marziyeh Mohammadi, Michael Christoph Thrun, David B. Blumenthal, Stefan W. Krause
0citations -
Generating a pixel-wise annotated training dataset to train ML algorithms for mineral identification in rock thin sections2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Geochemistry and Geologic Mapping Open access
Jiaxin Yu, Joyce Schmatz, Marven von Domarus, Mingze Jiang, Simon Virgo, Bastian Leibe, +1 more
0citations -
Prediction of Fault Rock Permeability With Deep Learning: Training Data from Transfer Samples of Fault Cores2022 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Joyce Schmatz, Jop Klaver, Eva Wellmann, Mingming Jiang, Wolf- Gang Kraus, Simon Freitag, +2 more
0citations -
Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties2024 Machine Learning with Applications article Materials Science Machine Learning in Materials Science Open access
Binh Duong Nguyen, Pavlo Potapenko, Aytekin Demirci, Kishan Govind, Sébastien Bompas, Stefan Sandfeld
22citations