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Saki Gerassis Davite
Saki Gerassis Davite
PhD Student, University of Vigo
Verified email at uvigo.es - Homepage
Title
Cited by
Cited by
Year
Developing a new Bayesian Risk Index for risk evaluation of soil contamination
MTD Albuquerque, S Gerassis, C Sierra, J Taboada, JE Martín, ...
Science of the Total Environment 603, 167-177, 2017
492017
Bayesian decision tool for the analysis of occupational accidents in the construction of embankments
S Gerassis, JE Martín, JT García, A Saavedra, J Taboada
Journal of construction engineering and management 143 (2), 04016093, 2017
432017
Bioclimatic modeling in the Last Glacial Maximum, Mid-Holocene and facing future climatic changes in the strawberry tree (Arbutus unedo L.)
MM Ribeiro, N Roque, S Ribeiro, C Gavinhos, I Castanheira, ...
PLoS One 14 (1), e0210062, 2019
322019
A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve
C Boente, MTD Albuquerque, S Gerassis, E Rodríguez-Valdés, ...
Chemosphere 218, 767-777, 2019
242019
Combining raw and compositional data to determine the spatial patterns of Potentially Toxic Elements in soils
C Boente, MTD Albuquerque, A Fernández-Braña, S Gerassis, C Sierra, ...
Science of the total environment 631, 1117-1126, 2018
222018
Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering
S Gerassis, MTD Albuquerque, JF García, C Boente, E Giráldez, ...
Reliability Engineering & System Safety 188, 195-204, 2019
172019
Prediction scenarios of past, present, and future environmental suitability for the Mediterranean species Arbutus unedo L.
AM Almeida, MJ Martins, ML Campagnolo, P Fernandez, T Albuquerque, ...
Scientific reports 12 (1), 84, 2022
162022
Local versus regional soil screening levels to identify potentially polluted areas
C Boente, S Gerassis, MTD Albuquerque, J Taboada, JR Gallego
Mathematical Geosciences 52, 381-396, 2020
152020
A Bayesian assessment of occupational health surveillance in workers exposed to silica in the energy and construction industry
A Abad, S Gerassis, Á Saavedra, E Giráldez, JF García, J Taboada
Environmental Science and Pollution Research 26, 29560-29569, 2019
142019
Differentiating between fatal and non-fatal mining accidents using artificial intelligence techniques
S Gerassis, A Saavedra, J Taboada, E Alonso, FG Bastante
International Journal of Mining, Reclamation and Environment 34 (10), 687-699, 2020
112020
The chaotic, self-similar and hierarchical patterns in Bitcoin and Ethereum price series
A Partida, S Gerassis, R Criado, M Romance, E Giráldez, J Taboada
Chaos, Solitons & Fractals 165, 112806, 2022
102022
AI approaches to environmental impact assessments (EIAs) in the mining and metals sector using AutoML and Bayesian modeling
S Gerassis, E Giráldez, M Pazo-Rodríguez, Á Saavedra, J Taboada
Applied Sciences 11 (17), 7914, 2021
102021
Species ecological envelopes under climate change scenarios: A case study for the main two wood-production forest species in Portugal
C Alegria, N Roque, T Albuquerque, S Gerassis, P Fernandez, ...
Forests 11 (8), 880, 2020
102020
A comparative analysis of health surveillance strategies for administrative video display terminal employees
S Gerassis, A Abad, J Taboada, Á Saavedra, E Giráldez
BioMedical Engineering OnLine 18, 1-12, 2019
82019
Modeling Bitcoin plus Ethereum as an open system of systems of public blockchains to improve their resilience against intentional risk
A Partida, S Gerassis, R Criado, M Romance, E Giráldez, J Taboada
Electronics 11 (2), 241, 2022
72022
Risk analysis in tunnel construction with Bayesian networks using mutual information for safety policy decisions
S Gerassis, A Saavedra, JF Garcia, JE Martín, J Taboada
WSEAS Transactions on Business and Economics 14, 215-224, 2017
72017
Future habitat suitability for species under climate change–Lessons learned from the strawberry tree case study
S Gerassis, MTD Albuquerque, N Roque, S Ribeiro, J Taboada, ...
Forest Ecology and Management 491, 119150, 2021
52021
Women’s Occupational Health: Improving Medical Protocols with Artificial Intelligence Solutions
S Gerassis, A Abad, Á Saavedra, JF García, J Taboada
Intelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019
52019
Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach
S Gerassis, C Boente, MTD Albuquerque, MM Ribeiro, A Abad, ...
Spatial Statistics 42, 100434, 2021
42021
Bayesian analysis of risk associated with workplace accidents in earthmoving operations
JF Garcia, JE Martin, S Gerassis, A Saavedra, J Taboada Garcia
Informes de la Construcción 69 (546), 2017
42017
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