Foivos I. Diakogiannis

According to our database, Foivos I. Diakogiannis authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Tackling fluffy clouds: field boundaries detection using time series of S2 and/or S1 imagery.

Foivos I. Diakogiannis, Zheng-Shu Zhou, Jeff Wang, Gonzalo Mata, Dave Henry, Roger A. Lawes, Amy Parker, Peter Caccetta, Rodrigo Ibata, Ondrej Hlinka, Jonathan Richetti, Kathryn Batchelor, Chris Herrmann, Andrew Toovey, John Taylor

CoRR, 2024

2023

A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield.

Jonathan Richetti, Foivos I. Diakogiannis, Asher Bender, André F. Colaço, Roger A. Lawes

Comput. Electron. Agric., February, 2023

Physical Symbolic Optimization.

Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis

CoRR, 2023

Class Symbolic Regression: Gotta Fit 'Em All.

Wassim Tenachi, Rodrigo Ibata, Thibaut L. François, Foivos I. Diakogiannis

CoRR, 2023

SSG2: A new modelling paradigm for semantic segmentation.

Foivos I. Diakogiannis, Suzanne Furby, Peter Caccetta, Xiaoliang Wu, Rodrigo Ibata, Ondrej Hlinka, John Taylor

CoRR, 2023

An end-to-end strategy for recovering a free-form potential from a snapshot of stellar coordinates.

Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis

CoRR, 2023

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

Wassim Tenachi, Rodrigo Ibata, Foivos I. Diakogiannis

CoRR, 2023

2021

Detect, Consolidate, Delineate: Scalable Mapping of Field Boundaries Using Satellite Images.

François Waldner, Foivos I. Diakogiannis, Kathryn Batchelor, Michael Ciccotosto-Camp, Elizabeth Cooper-Williams, Chris Herrmann, Gonzalo Mata, Andrew Toovey

Remote. Sens., 2021

Looking for Change? Roll the Dice and Demand Attention.

Foivos I. Diakogiannis, François Waldner, Peter Caccetta

Remote. Sens., 2021

2019

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

François Waldner, Foivos I. Diakogiannis

CoRR, 2019

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

Foivos I. Diakogiannis, François Waldner, Peter Caccetta, Chen Wu

CoRR, 2019

Weed Mapping Using Very High Resolution Satellite Imagery and Fully Convolutional Neural Network.

Yannik Rist, Iurii Shendryk, Foivos I. Diakogiannis, Shaun R. Levick

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019