Enrico Zio
Italian engineer
Facts
12 properties- Instance of
- human
- Date of birth
- 1966
- Place of birth
- Milan
- Occupation
- university teacher, engineer
- Field of work
- risk analysis, risk management, reliability, complex system, simulation[6][7][8][9][10]
- Doctoral student
- Ronay Ak, Elizaveta Kuznetsova, Rodrigo Mena, Yi-Ping Fang[12][13][14][15]
- Maintained by WikiProject
- WikiProject Mathematics[20]
- On focus list of Wikimedia project
- WikiProject COVID-19[19]
🏷️ Also known as
en Enrico Zio
🔖 Identifiers · 21
- ISNI
- 0000000122815161
- ORCID iD
- 0000-0002-7108-637X
- VIAF cluster ID
- 69857469
- Library of Congress Authorities ID
- n2003003563
- GND ID
- 1018142142
- Bibliothèque nationale de France ID
- 169611756
- DBLP author ID
- 87/1185
- DDB person (GND) ID
- 1018142142
- Google Scholar author ID
- HAHhUtkAAAAJ
- HAL author ID
- enrico-zio
- IEEE Xplore author ID
- 37282793600
- IdRef ID
- 11103096X
Show all 21 identifiers +9
- J9U entity ID
- 987007453407305171
- Mathematics Genealogy Project ID
- 261143
- NL CR AUT ID
- utb20191039732
- National Library of Poland MMS ID
- 9810550524805606
- Re.Public@Polimi author ID
- 07938
- SBN author ID
- UBOV592531
- Scopus author ID
- 7005289082
- Yale LUX ID
- person/26a31c76-77b8-44d0-b60b-cfa5719309c1
- ZbMATH author ID
- zio.enrico
🔗 Connections
Author of 231
A Bayesian belief network framework for nuclear power plant human reliability analysis accounting for dependencies among performance shaping factors,
A Bayesian Belief Network Model for the Risk Assessment and Management of Premature Screen-Out during Hydraulic Fracturing,
A Bayesian Data-Driven Framework for Aleatoric and Epistemic Uncertainty Quantification in Remaining Useful Life Predictions,
A Bayesian ensemble of sensitivity measures for severe accident modeling,
A Bayesian framework for estimating fragility curves based on seismic damage data and numerical simulations by adaptive neural networks,
A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems,
A Bayesian optimal design for accelerated degradation testing based on the Inverse Gaussian process,
A belief function theory based approach to combining different representation of uncertainty in prognostics
+223 more
← Authored by 231
A Bayesian belief network framework for nuclear power plant human reliability analysis accounting for dependencies among performance shaping factors,
A Bayesian Belief Network Model for the Risk Assessment and Management of Premature Screen-Out during Hydraulic Fracturing,
A Bayesian Data-Driven Framework for Aleatoric and Epistemic Uncertainty Quantification in Remaining Useful Life Predictions,
A Bayesian ensemble of sensitivity measures for severe accident modeling,
A Bayesian framework for estimating fragility curves based on seismic damage data and numerical simulations by adaptive neural networks,
A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems,
A Bayesian optimal design for accelerated degradation testing based on the Inverse Gaussian process,
A belief function theory based approach to combining different representation of uncertainty in prognostics
+223 more
Affiliated with 20
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