Gabriel Dax

12 papers A* 1B 1C 1Journal 3Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — —
Aspects of Algorithmic Information Theory in Spatial Machine Learning.
Gabriel Dax
2024 A* conf
Position: Embracing Negative Results in Machine Learning.
ICML
Florian Karl, Lukas Malte Kemeter, Gabriel Dax, Paulina Sierak
2024 J jnl
Position: Embracing Negative Results in Machine Learning.
CoRR
Florian Karl, Lukas Malte Kemeter, Gabriel Dax, Paulina Sierak
2023 J jnl
Compression Supports Spatial Deep Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Gabriel Dax, Srilakshmi Nagarajan, Hao Li, Martin Werner
2023 — conf
Machine Learning Application Benchmark.
CF
Andreas Koch, Michael Petry, Max Ghiglione, Amir Raoofy, Gabriel Dax, Gianluca Furano, Martin Werner, Carsten Trinitis, Martin Langer
2023 — conf
Semi-Supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation.
GIScience
Hao Li, Zhendong Yuan, Gabriel Dax, Gefei Kong, Hongchao Fan, Alexander Zipf, Martin Werner
2023 J jnl
Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation.
CoRR
Hao Li, Zhendong Yuan, Gabriel Dax, Gefei Kong, Hongchao Fan, Alexander Zipf, Martin Werner
2022 — conf
Benchmarking and feasibility aspects of machine learning in space systems.
CF
Amir Raoofy, Gabriel Dax, Vittorio Serra, Max Ghiglione, Martin Werner, Carsten Trinitis
2021 C conf
Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models.
IGARSS
Gabriel Dax, Moritz Laass, Martin Werner
2021 — conf
Information-optimal Abstaining for Reliable Classification of Building Functions.
AGILE Conf.
Gabriel Dax, Martin Werner
2021 B conf
Trajectory Similarity using Compression.
MDM
Gabriel Dax, Martin Werner
2020 — conf
Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research.
GI-Jahrestagung
Martin Werner, Gabriel Dax, Moritz Laass