Thomas Schmid

According to our database, Thomas Schmid authored at least 14 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

BiCAE - A Bimodal Convolutional Autoencoder for Seed Purity Testing.

Maksim Kukushkin, Martin Bogdan, Thomas Schmid

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

BiMAE - A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification.

Maksim Kukushkin, Martin Bogdan, Thomas Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Wolfgang Hildesheim, Taras Holoyad, Thomas Schmid

it Inf. Technol., August, 2023

Constructivist Machine Learning.

Thomas Schmid

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

On optimizing morphological neural networks for hyperspectral image classification.

Maksim Kukushkin, Martin Bogdan, Thomas Schmid

Proceedings of the Sixteenth International Conference on Machine Vision, 2023

Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction.

Maksim Kukushkin, Matthias Enders, Reinhard Kaschuba, Martin Bogdan, Thomas Schmid

Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

2021

The AI Methods, Capabilities and Criticality Grid.

Thomas Schmid, Wolfgang Hildesheim, Taras Holoyad, Kinga Schumacher

Künstliche Intell., 2021

Batch-like Online Learning for More Robust Hybrid Artificial Intelligence: Deconstruction as a Machine Learning Process.

Thomas Schmid

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.

Thomas Schmid

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.

Thomas Schmid

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?

Thomas Schmid

Proceedings of the Informatiktage 2014: Big (Data) is beautiful, 2014

Automated Quantification of the Relation between Resistor-capacitor Subcircuits from an Impedance Spectrum.

Thomas Schmid, Dorothee Günzel, Martin Bogdan

Proceedings of the BIOSIGNALS 2014, 2014

2013

Efficient prediction of x-axis intercepts of discrete impedance spectra.

Thomas Schmid, Dorothee Günzel, Martin Bogdan

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2010

Using an Artificial Neural Network to Determine Electrical Properties of Epithelia.

Thomas Schmid, Dorothee Günzel, Martin Bogdan

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010