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Thomas Schmid 0003
Person information
- affiliation: University of Leipzig, Department of Computer Engineering, Germany
Other persons with the same name
- Thomas Schmid — disambiguation page
- Thomas Schmid 0001
— CIEMAT, Department of Environment, Madrid, Spain
- Thomas Schmid 0002 — University of Utah, Department of Electrical and Computer Engineering, Salt Lake City, UT, USA (and 2 more)
- Thomas Schmid 0004 — ETH Zurich, Institute for Biomedical Engineering, Switzerland (and 1 more)
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2020 – today
- 2024
- [c10]Maksim Kukushkin, Martin Bogdan, Thomas Schmid:
BiMAE - A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification. CVPR Workshops 2024: 2987-2996 - [c9]Maksim Kukushkin, Martin Bogdan, Thomas Schmid:
BiCAE - A Bimodal Convolutional Autoencoder for Seed Purity Testing. ECML/PKDD (10) 2024: 447-462 - 2023
- [j2]Wolfgang Hildesheim, Taras Holoyad, Thomas Schmid:
Machine learning in AI Factories - five theses for developing, managing and maintaining data-driven artificial intelligence at large scale. it Inf. Technol. 65(4-5): 218-227 (2023) - [c8]Maksim Kukushkin, Matthias Enders, Reinhard Kaschuba, Martin Bogdan, Thomas Schmid:
Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction. GI-Jahrestagung 2023: 1645-1652 - [p1]Thomas Schmid:
Constructivist Machine Learning. Compendium of Neurosymbolic Artificial Intelligence 2023: 114-124 - 2021
- [j1]Thomas Schmid, Wolfgang Hildesheim, Taras Holoyad, Kinga Schumacher:
The AI Methods, Capabilities and Criticality Grid. Künstliche Intell. 35(3): 425-440 (2021) - [c7]Thomas Schmid:
Batch-like Online Learning for More Robust Hybrid Artificial Intelligence: Deconstruction as a Machine Learning Process. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - 2020
- [c6]Thomas Schmid:
Using Learning Algorithms to Create, Exploit and Maintain Knowledge Bases: Principles of Constructivist Machine Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020
2010 – 2019
- 2019
- [c5]Thomas Schmid:
Deconstructing the Final Frontier of Artificial Intelligence: Five Theses for a Constructivist Machine Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - 2014
- [c4]Thomas Schmid, Dorothee Günzel, Martin Bogdan:
Automated Quantification of the Relation between Resistor-capacitor Subcircuits from an Impedance Spectrum. BIOSIGNALS 2014: 141-148 - [c3]Thomas Schmid:
Macht "Big Data" synthetische Datensätze überflüssig? Informatiktage 2014: 61-64 - 2013
- [c2]Thomas Schmid, Dorothee Günzel, Martin Bogdan:
Efficient prediction of x-axis intercepts of discrete impedance spectra. ESANN 2013 - 2010
- [c1]Thomas Schmid, Dorothee Günzel, Martin Bogdan:
Using an Artificial Neural Network to Determine Electrical Properties of Epithelia. ICANN (1) 2010: 211-216
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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