Data-Centric Machine Learning for Earth Observation: Necessary and
Sufficient Features

Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features

21 August 2024

Marlon Nuske

Andreas Dengel

Papers citing "Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features"

4 / 4 papers shown

Title
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 86 409 0 20 Jan 2022
Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series Vivien Sainte Fare Garnot Loic Landrieu 51 79 0 01 Jul 2020
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 244 4,667 0 21 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 237 6,775 0 03 Sep 2014