Daan R. Scheepens

2022202320241 4 3

Katerina Hlaváčková - Schindler (Schi...Senior Scientist at Faculty of Computer Science, University of Vienna, Vienna, AustriaCorreu electrònic verificat a univie.ac.at
Claudia PlantProfessor of Computer Science, leader of research group Data Mining and Machine Learning, UniVieCorreu electrònic verificat a univie.ac.at
Maxwell J FarrellUniversity of GlasgowCorreu electrònic verificat a mail.mcgill.ca
Tim NewboldCentre for Biodiversity and Environment Research, University College LondonCorreu electrònic verificat a ucl.ac.uk
Joseph MillardNatural History Museum (London)Correu electrònic verificat a nhm.ac.uk

Daan R. Scheepens

Centre for Biodiversity and Environment Research, UCL

Correu electrònic verificat a ucl.ac.uk


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range DR Scheepens, I Schicker, K Hlaváčková-Schindler, C Plant Geoscientific Model Development 16 (1), 251-270, 2023	7	2023
A deep CNN model for medium-range spatio-temporal wind speed prediction for wind energy applications D Scheepens, K Hlavackova-Schindler, C Plant, I Schicker EMS2021, 2021	1	2021
The changing landscape of text mining-a review of approaches for ecology and evolution MJ Farrell, N Le Guillarme, L Brierley, B Hunter, D Scheepens, ... EcoEvoRxiv, 2024		2024
Large language models help facilitate the automated synthesis of information on potential pest controllers D Scheepens, J Millard, M Farrell, T Newbold bioRxiv, 2024.01. 12.575330, 2024		2024

En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.

Articles 1–4

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