Thomas Schmid

Affiliations:
  • University of Leipzig, Department of Computer Engineering, Germany


According to our database1, Thomas Schmid authored at least 11 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2023
Machine learning in AI Factories - five theses for developing, managing and maintaining data-driven artificial intelligence at large scale.
it Inf. Technol., August, 2023

Constructivist Machine Learning.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction.
Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

2021
The AI Methods, Capabilities and Criticality Grid.
Künstliche Intell., 2021

Batch-like Online Learning for More Robust Hybrid Artificial Intelligence: Deconstruction as a Machine Learning Process.
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020
Using Learning Algorithms to Create, Exploit and Maintain Knowledge Bases: Principles of Constructivist Machine Learning.
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

2019
Deconstructing the Final Frontier of Artificial Intelligence: Five Theses for a Constructivist Machine Learning.
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2014
Macht "Big Data" synthetische Datensätze überflüssig?
Proceedings of the Informatiktage 2014: Big (Data) is beautiful, 2014

Automated Quantification of the Relation between Resistor-capacitor Subcircuits from an Impedance Spectrum.
Proceedings of the BIOSIGNALS 2014, 2014

2013
Efficient prediction of x-axis intercepts of discrete impedance spectra.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2010
Using an Artificial Neural Network to Determine Electrical Properties of Epithelia.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010


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