Boyan Angelov

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

Boyan Angelov

Data Strategist at Boyan Angelov Consulting

Email yang diverifikasi di ieee.org - Beranda


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	89	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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