Boyan Angelov

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Masahiro RyoProfessor of Environmental Data Science, Leibniz Centre for Agricultural Landscape ResearchEmail confirmado em zalf.de
Stefano Mammolaresearcher, CNR, IRSA: Water Research Institute, VerbaniaEmail confirmado em irsa.cnr.it
Jamie M. KassAssociate Professor, Graduate School of Life Sciences, Tohoku UniversityEmail confirmado em tohoku.ac.jp
Blas M. Benito (ORCID: 0000-0001-51...Biome MakersEmail confirmado em biomemakers.com
Florian HartigProfessor for Theoretical Ecology, University of RegensburgEmail confirmado em ur.de

Boyan Angelov

Data Strategist at Boyan Angelov Consulting

Email confirmado em ieee.org - Página inicial


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Explainable artificial intelligence enhances the ecological interpretability of black‐box species distribution models M Ryo, B Angelov, S Mammola, JM Kass, BM Benito, F Hartig Ecography 44 (2), 199-205, 2021	88	2021
sdmbench: R package for benchmarking species distribution models B Angelov Journal of Open Source Software 3 (29), 847, 2018	7	2018
Review of species distribution modeling opensource software B Angelov Researchgate doi 10, 2019	3	2019
species2vec: A novel method for species representation B Angelov BioRxiv, 461996, 2018	2	2018
Improving the interpretability of species distribution models by using local approximations B Angelov bioRxiv, 454991, 2018	1	2018
The Study of Progress: Entropy, Complexity, and the Great Filter B Angelov OSF Preprints, 2023		2023
Managing the century of complexity: origins, evolution and productive future avenues with systems thinking B Angelov OSF Preprints, 2022		2022
Research Data Strategy: framework and motivating factors B Angelov OSF Preprints, 2020		2020
Mud Volcanoes: A Window to the Deep Biosphere. Investigating succession and functional shifts in marine deep subsurface microbial communities exposed to mud volcanism B Angelov University of Bremen Bremen/Germany, 2013		2013

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