Thomas Hoch

According to our database, Thomas Hoch authored at least 9 papers between 2003 and 2023.

Collaborative distances:

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

2023

Modeling the extra pass in basketball - an assessment of one of the most crucial skills for creating great ball movement.

Bence Supola, Thomas Hoch, Arnold Baca

Int. J. Comput. Sci. Sport, March, 2023

2022

Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing.

Philipp Haindl, Thomas Hoch, Javier Dominguez, Julen Aperribai, Nazim Kemal Ure, Mehmet Tunçel

Proceedings of the Quality of Information and Communications Technology, 2022

Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing.

Thomas Hoch, Bernhard Heinzl, Gerald Czech, Maqbool Khan, Philipp Waibel, Stefan Bachhofner, Elmar Kiesling, Bernhard Moser

Proceedings of Interoperability for Enterprise Systems and Applications Workshops co-located with 11th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2022), 2022

2019

On Conditioning GANs to Hierarchical Ontologies.

Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch

Proceedings of the Database and Expert Systems Applications, 2019

2015

An Ensemble Learning Approach for the Kaggle Taxi Travel Time Prediction Challenge.

Thomas Hoch

Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015

2007

Aspects of information processing by individual neurons and populations of neurons.

Thomas Hoch

PhD thesis, 2007

The effect of background noise on the precision of pulse packet propagation in feed-forward networks.

Marcel Stimberg, Thomas Hoch, Klaus Obermayer

Neurocomputing, 2007

2005

The effect of correlations in the background activity on the information transmission properties of neural populations.

Thomas Hoch, Gregor Wenning, Klaus Obermayer

Neurocomputing, 2005

2003

Adaptation using local information for maximizing the global cost.

Thomas Hoch, Gregor Wenning, Klaus Obermayer

Neurocomputing, 2003