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Pest presence prediction using interpretable machine learning

Pest presence prediction using interpretable machine learning

Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022
16 May 2022
Ornela Nanushi
Vasileios Sitokonstantinou
Ilias Tsoumas
C. Kontoes
ArXiv (abs)PDFHTML

Papers citing "Pest presence prediction using interpretable machine learning"

4 / 4 papers shown
Causality and Explainability for Trustworthy Integrated Pest Management
Causality and Explainability for Trustworthy Integrated Pest Management
Ilias Tsoumas
Vasileios Sitokonstantinou
Georgios Giannarakis
Evagelia Lampiri
C. Athanassiou
Gustau Camps-Valls
C. Kontoes
Ioannis Athanasiadis
140
4
0
07 Dec 2023
Understanding the impacts of crop diversification in the context of
  climate change: a machine learning approach
Understanding the impacts of crop diversification in the context of climate change: a machine learning approachThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS), 2023
Georgios Giannarakis
Ilias Tsoumas
S. Neophytides
C. Papoutsa
C. Kontoes
D. Hadjimitsis
AI4CE
189
5
0
17 Jul 2023
Evaluating Digital Agriculture Recommendations with Causal Inference
Evaluating Digital Agriculture Recommendations with Causal InferenceAAAI Conference on Artificial Intelligence (AAAI), 2022
Ilias Tsoumas
Georgios Giannarakis
Vasileios Sitokonstantinou
Alkiviadis Koukos
D. Loka
Nikolaos S. Bartsotas
C. Kontoes
Ioannis Athanasiadis
147
14
0
30 Nov 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,924
0
16 Feb 2016
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