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Supervised Machine Learning Segmentation and Quantification of Gastric Pacemaker Cells.

• Authors : Mah, Sue Ann; Avci, Recep; Du, Peng

Subjects: Sciences bio-médicales et agricoles; Animals; Bayes Theorem

• Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020

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DOME: recommendations for supervised machine learning validation in biology

• Authors : Walsh, Ian; Fishman, Dmytro; Garcia-Gasulla, Dario

Subjects: Généralités

• Source: Nature methods

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Dataset Proximity Mining for Supporting Schema Matching and Data Lake Governance

• Authors : Alserafi, Ayman;

Subjects: Intelligence artificielle; Systèmes experts; Informatique générale

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Gaia Data Release 3: The extragalactic content

• Authors : Bailer-Jones, C.~A.~L.; Pourbaix, Dimitri; Siopis, Christos

Subjects: Astrophysique; Astronomie

• Source: Astronomy & astrophysics, 674

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Exploiting Genomic Features to Improve the Prediction of Transcription Factor-Binding Sites in Plants.

• Authors : Rivière, Quentin; Corso, Massimiliano; Ciortan, Madalina

Subjects: Sciences bio-médicales et agricoles; Transcription Factors -- genetics -- metabolism; Protein Binding -- genetics

• Source: Plant and Cell Physiology, 63 (10

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Seasonal separation of African savanna components using WorldView-2 imagery: A comparison of pixeland object-based approaches and selected classification algorithms

• Authors : Kaszta, Zaneta; Van De Kerchove, Ruben; Ramoelo, Abel

Subjects: Géographie humaine; Classification and regression trees (CART); Classifiers

• Source: Remote Sensing, 8 (9

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