Thomas Schmid 0003 - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Constructivist Machine LearningThomas Schmid 0003. In Pascal Hitzler, Md. Kamruzzaman Sarker, Aaron Eberhart, editors, Compendium of Neurosymbolic Artificial Intelligence. Volume 369 of Frontiers in Artificial Intelligence and Applications, pages 114-124, IOS Press, 2023. [doi]

Machine learning in AI Factories - five theses for developing, managing and maintaining data-driven artificial intelligence at large scaleWolfgang Hildesheim, Taras Holoyad, Thomas Schmid 0003. it, 65(4-5):218-227, August 2023. [doi]

Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProductionMaksim Kukushkin, Matthias Enders, Reinhard Kaschuba, Martin Bogdan, Thomas Schmid 0003. gi 2023: 1645-1652 [doi]

2021

Batch-like Online Learning for More Robust Hybrid Artificial Intelligence: Deconstruction as a Machine Learning ProcessThomas Schmid 0003. aaaiss 2021: [doi]

The AI Methods, Capabilities and Criticality GridThomas Schmid 0003, Wolfgang Hildesheim, Taras Holoyad, Kinga Schumacher. ki, 35(3):425-440, 2021. [doi]

2014

Macht "Big Data" synthetische Datensätze überflüssig?Thomas Schmid 0003. informatiktage 2014: 61-64

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