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Samuel Roeslin
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A machine learning damage prediction model for the 2017 Puebla-Morelos, Mexico, earthquake
S Roeslin, Q Ma, H Juárez-Garcia, A Gomez-Bernal, J Wicker, ...
Earthquake Spectra 36 (2_suppl), 314-339, 2020
622020
Damage assessment on buildings following the 19th September 2017 Puebla, Mexico earthquake
S Roeslin, QTM Ma, HJ García
Frontiers in Built Environment 4, 72, 2018
272018
Displacement-based design of tall earthquake-resistant diagrid systems
A Terán-Gilmore, S Roeslin, E Tapia-Hernández, E Cuadros-Hipólito
Journal of Building Engineering 35, 102022, 2021
152021
The September 19th, 2017 Puebla, Mexico earthquake: final report of the New Zealand reconnaissance team
S Roeslin, H Huarez-Garcia, KJ Elwood, RP Dhakal, A Gómez-Bernal
Bulletin of the New Zealand Society for Earthquake Engineering 53 (3), 150-172, 2020
132020
Cross-border and emerging risks in Europe
C CORBANE, G EKLUND, Z GYENES, A LENTINI, J SAN-MIGUEL, ...
22024
Development of a seismic loss prediction model for residential buildings using machine learning–Christchurch, New Zealand
S Roeslin, Q Ma, P Chigullapally, J Wicker, L Wotherspoon
Natural Hazards and Earth System Sciences Discussions 2022, 1-31, 2022
22022
Predicting Seismic Damage and Loss for Residential Buildings using Data Science
S Roeslin
PhD Thesis-University of Auckland, 2021
22021
Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand
S Roeslin, Q Ma, J Wicker, L Wotherspoon
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
22019
Displacement-based preliminary design of diagrid systems
AT Gilmore, S Roeslin, AQ Ramírez, EC Hipólito, JO González
Vol. 4 of Proc., 16th World Conf. on Earthquake Engineering. Santiago, Chile …, 2017
22017
Feature engineering for a seismic loss prediction model using machine learning, christchurch experience
S Roeslin, Q Ma, P Chigullapally, JS WicNer, LM Wotherspoon
17WCEE 17th world conference on earthquake engineering, 2020
12020
A new approach for the seismic loss estimation of existing buildings
S Roeslin, QT Ma
Proc. of Eleventh US National Conference on Earthquake Engineering, Paper ID 550, 2018
12018
The September 19 th, 2017 Puebla, Mexico Earthquake–Preliminary report
S Roeslin, KJ Elwood, H Juárez-Garcia, A Gómez-Bernal, RP Dhakal
Proceeding of 2018 NZSEE Conference, 13-15, 2018
12018
Evaluación del comportamiento de los edificios da nados durante el sismo del 19 de septiembre de 2017 en la ciudad de México
A Gómez Bernal, H Juárez García, J De Anda Gil, A Tovar Hidalgo, ...
XXI Congreso Nacional de Ingeniería Estructural, 2018
12018
Developing a multi-level european-wide composite indicator to assess vulnerability dynamics across time and space
A Sibilia, G Eklund, S Marzi, I Valli, C Bountzouklis, S Roeslin, ...
International Journal of Disaster Risk Reduction 113, 104885, 2024
2024
Cross-border and emerging risks in Europe: Overview of state of science, knowledge and capacity
C Corbane, G Eklund, Z Gyenes, A Lentini, J San-Miguel, T Durrant, ...
< bound method Organization. get_name_with_acronym of< Organization …, 2024
2024
Development of a seismic loss prediction model for residential buildings using machine learning–Ōtautahi/Christchurch, New Zealand
S Roeslin, Q Ma, P Chigullapally, J Wicker, L Wotherspoon
Natural Hazards and Earth System Sciences 23 (3), 1207-1226, 2023
2023
Development of a Rapid Seismic Loss Prediction Model for Residential Buildings using Machine Learning-Christchurch, New Zealand
S Roeslin, Q Ma, P Chigullapally, J Wicker, L Wotherspoon
EGU General Assembly Conference Abstracts, EGU-2996, 2023
2023
Risk Data Hub API (version 1.0. 0) Documentation
S Roeslin, S Salari, D Rodomonti, C Bountzouklis
2023
Development of seismic loss prediction model for residential buildings-Christchurch, NZ
S Roeslin, Q Ma, P Chigullapally, S Wicker, L Wotherspoon
2020
Development of a Seismic Damage Prediction Model Using Data Science Techniques
S Roeslin, TMQ Ma
QuakeCoRE Annual Meeting 2018, 2018
2018
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