Gabriel Dax

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Computational Challenges

Machine Learning

Supervised Learning

Top Venues

Publications

Florian Karl, Lukas Malte Kemeter, Gabriel Dax, Paulina Sierak
Position: Embracing Negative Results in Machine Learning. CoRR (2024)
Andreas Koch, Michael Petry, Max Ghiglione, Amir Raoofy, Gabriel Dax, Gianluca Furano, Martin Werner, Carsten Trinitis, Martin Langer
Machine Learning Application Benchmark. CF (2023)
Hao Li, Zhendong Yuan, Gabriel Dax, Gefei Kong, Hongchao Fan, Alexander Zipf, Martin Werner
Semi-Supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation. GIScience (2023)
Hao Li, Zhendong Yuan, Gabriel Dax, Gefei Kong, Hongchao Fan, Alexander Zipf, Martin Werner
Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation. CoRR (2023)
Gabriel Dax, Srilakshmi Nagarajan, Hao Li, Martin Werner
Compression Supports Spatial Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Amir Raoofy, Gabriel Dax, Vittorio Serra, Max Ghiglione, Martin Werner, Carsten Trinitis
Benchmarking and feasibility aspects of machine learning in space systems. CF (2022)
Gabriel Dax, Martin Werner
Trajectory Similarity using Compression. MDM (2021)
Gabriel Dax, Moritz Laass, Martin Werner
Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models. IGARSS (2021)
Martin Werner, Gabriel Dax, Moritz Laass
Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research. GI-Jahrestagung (2020)