Search Results for author: Foivos I. Diakogiannis

Found 5 papers, 4 papers with code

Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws

1 code implementation6 Mar 2023 Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis

Here we present $\Phi$-SO, a Physical Symbolic Optimization framework for recovering analytical symbolic expressions from physics data using deep reinforcement learning techniques by learning units constraints.

Symbolic Regression

Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network

no code implementations26 Oct 2019 François Waldner, Foivos I. Diakogiannis

By minimising image preprocessing requirements and replacing local arbitrary decisions by data-driven ones, our approach is expected to facilitate the extraction of individual crop fields at scale.

Semantic Segmentation

ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

8 code implementations1 Apr 2019 Foivos I. Diakogiannis, François Waldner, Peter Caccetta, Chen Wu

Scene understanding of high resolution aerial images is of great importance for the task of automated monitoring in various remote sensing applications.

Scene Understanding Semantic Segmentation

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