Παρακολούθηση
Boyan Angelov
Boyan Angelov
Data Strategist at Boyan Angelov Consulting
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ieee.org - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
1232021
sdmbench: R package for benchmarking species distribution models
B Angelov
Journal of Open Source Software 3 (29), 847, 2018
82018
Review of species distribution modeling opensource software
B Angelov
Researchgate doi 10, 2019
42019
species2vec: A novel method for species representation
B Angelov
BioRxiv, 461996, 2018
22018
Improving the interpretability of species distribution models by using local approximations
B Angelov
bioRxiv, 454991, 2018
12018
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
The Enabling Data Model and Manifesto
B Angelov, D Castro-Gavino
OSF, 0
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