Methodology for development of an expert system to derive knowledge from existing nature-based solutions experiences

Author:

Sarabi ShahryarORCID,Han Qi,de Vries Bauke,Romme A.Georges L.

Funder

Horizon 2020

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Clinical Biochemistry

Reference18 articles.

1. TensorFlow: large-scale machine learning on heterogeneous distributed systems;Abadi;ArXiv,2016

2. D. Almassy, L. Pinter, S. Rocha, S. Naumann, M. Davis, K. Abhold, & H. Bulkeley (2018). Urban nature atlas: a database of nature-based solutions across 100 European cities. In Report of H2020 Project Naturvation. https://naturvation.eu/sites/default/files/result/files/urban_nature_atlas_a_database_of_nature-based_solutions_across_100_european_cities.pdf.

3. Similarity encoding for learning with dirty categorical variables;Cerda;Mach. Learn.,2018

4. CBR: strengths and weaknesses;Cunningham,1998

5. Empirical studies on multi-label classification;Li,2006

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