Articles with public access mandates - Ioannis N. AthanasiadisLearn more
Available somewhere: 46
Introducing digital twins to agriculture
C Pylianidis, S Osinga, IN Athanasiadis
Computers and Electronics in Agriculture 184, 105942, 2021
Mandates: European Commission
Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology
SJC Janssen, CH Porter, AD Moore, IN Athanasiadis, I Foster, JW Jones, ...
Agricultural Systems, 2017
Mandates: Bill & Melinda Gates Foundation
Machine learning for large-scale crop yield forecasting
D Paudel, H Boogaard, A de Wit, S Janssen, S Osinga, C Pylianidis, ...
Agricultural Systems, 103016, 2020
Mandates: European Commission
Eight grand challenges in socio-environmental systems modeling
S Elsawah, T Filatova, AJ Jakeman, AJ Kettner, ML Zellner, ...
Socio-Environmental Systems Modelling 2, 16226, 2020
Mandates: US National Science Foundation, Swedish Research Council for Environment …
A review of agent based modeling for agricultural policy evaluation
D Kremmydas, IN Athanasiadis, S Rozakis
Agricultural systems 164, 95-106, 2018
Mandates: European Commission
Machine learning for ecosystem services
S Willcock, J Martínez-López, DAP Hooftman, KJ Bagstad, S Balbi, ...
Ecosystem services 33, 165-174, 2018
Mandates: Department of International Development, UK, UK Economic and Social Research …
Towards globally customizable ecosystem service models
J Martínez-López, KJ Bagstad, S Balbi, A Magrach, B Voigt, I Athanasiadis, ...
Science of the Total Environment 650, 2325-2336, 2019
Mandates: UK Economic and Social Research Council, UK Natural Environment Research …
Enabling reusability of plant phenomic datasets with MIAPPE 1.1
EA Papoutsoglou, D Faria, D Arend, E Arnaud, IN Athanasiadis, I Chaves, ...
New Phytologist 227 (1), 260-273, 2020
Mandates: US National Science Foundation, US National Institutes of Health, Fundação …
Big data in agriculture: Between opportunity and solution
SA Osinga, D Paudel, SA Mouzakitis, IN Athanasiadis
Agricultural Systems 195, 103298, 2022
Mandates: European Commission
Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle
EMM Van der Heide, RF Veerkamp, ML Van Pelt, C Kamphuis, ...
Journal of dairy science 102 (10), 9409-9421, 2019
Mandates: Netherlands Organisation for Scientific Research
Harmonization and translation of crop modeling data to ensure interoperability
CH Porter, C Villalobos, D Holzworth, R Nelson, JW White, ...
Environmental modelling & software 62, 495-508, 2014
Mandates: Department of International Development, UK
Machine learning for regional crop yield forecasting in Europe
D Paudel, H Boogaard, A de Wit, M van der Velde, M Claverie, L Nisini, ...
Field Crops Research 276, 108377, 2022
Mandates: European Commission
The current and future uses of machine learning in ecosystem service research
M Scowen, IN Athanasiadis, JM Bullock, F Eigenbrod, S Willcock
Science of the Total Environment 799, 149263, 2021
Mandates: UK Natural Environment Research Council
Privacy-preserving computation of participatory noise maps in the cloud
G Drosatos, PS Efraimidis, IN Athanasiadis, M Stevens, E D’Hondt
Journal of Systems and Software 92, 170-183, 2014
Mandates: UK Engineering and Physical Sciences Research Council
Machine learning for research on climate change adaptation policy integration: an exploratory UK case study
R Biesbroek, S Badloe, IN Athanasiadis
Regional Environmental Change 20 (3), 85, 2020
Mandates: Netherlands Organisation for Scientific Research
Interpretability of deep learning models for crop yield forecasting
D Paudel, A De Wit, H Boogaard, D Marcos, S Osinga, IN Athanasiadis
Computers and Electronics in Agriculture 206, 107663, 2023
Mandates: European Commission
Policy attention to climate change impacts, adaptation and vulnerability: a global assessment of National Communications (1994–2019)
R Biesbroek, SJ Wright, SK Eguren, A Bonotto, IN Athanasiadis
Climate Policy 22 (1), 97-111, 2022
Mandates: Netherlands Organisation for Scientific Research
Exploding the myths: An introduction to artificial neural networks for prediction and forecasting
HR Maier, S Galelli, S Razavi, A Castelletti, A Rizzoli, IN Athanasiadis, ...
Environmental modelling & software, 105776, 2023
Mandates: Australian Research Council
Simulation-assisted machine learning for operational digital twins
C Pylianidis, V Snow, H Overweg, S Osinga, J Kean, IN Athanasiadis
Environmental Modelling & Software 148, 105274, 2022
Mandates: European Commission
Semantics for interoperability of distributed data and models: Foundations for better-connected information
F Villa, S Balbi, IN Athanasiadis, C Caracciolo
F1000Research 6 (686), 686, 2017
Mandates: US National Science Foundation, UK Natural Environment Research Council …
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