Gabriel Dax

According to our database, Gabriel Dax authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Aspects of Algorithmic Information Theory in Spatial Machine Learning.

Gabriel Dax

PhD thesis, 2024

Position: Embracing Negative Results in Machine Learning.

Florian Karl, Lukas Malte Kemeter, Gabriel Dax, Paulina Sierak

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Compression Supports Spatial Deep Learning.

Gabriel Dax, Srilakshmi Nagarajan, Hao Li, Martin Werner

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Semi-Supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation.

Hao Li, Zhendong Yuan, Gabriel Dax, Gefei Kong, Hongchao Fan, Alexander Zipf, Martin Werner

Proceedings of the 12th International Conference on Geographic Information Science, 2023

Machine Learning Application Benchmark.

Andreas Koch, Michael Petry, Max Ghiglione, Amir Raoofy, Gabriel Dax, Gianluca Furano, Martin Werner, Carsten Trinitis, Martin Langer

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

Benchmarking and feasibility aspects of machine learning in space systems.

Amir Raoofy, Gabriel Dax, Vittorio Serra, Max Ghiglione, Martin Werner, Carsten Trinitis

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

Trajectory Similarity using Compression.

Gabriel Dax, Martin Werner

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models.

Gabriel Dax, Moritz Laass, Martin Werner

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research.

Martin Werner, Gabriel Dax, Moritz Laass

Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020