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 | 51 | 2020 |
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 | 27 | 2018 |
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 | 13 | 2021 |
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 | 13 | 2020 |
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 | 2 | 2022 |
Predicting Seismic Damage and Loss for Residential Buildings using Data Science S Roeslin PhD Thesis-University of Auckland, 2021 | 2 | 2021 |
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 | 2 | 2019 |
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 | 2 | 2017 |
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 | 1 | 2020 |
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 | 1 | 2018 |
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 | 1 | 2018 |
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 | 1 | 2018 |
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 |
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 |
Development of a Seismic Damage Prediction Model Using Machine Learning S Roeslin, Q Ma, K Elwood, J Wicker | | 2018 |
Key Parameters in Pre-Event Data Collection for Emergency Response and Seismic Loss Estimation for Buildings S Roeslin, Q Ma, K Elwood QuakeCoRe Annual Meeting, 2017 | | 2017 |
USE OF DIAGONAL GRIDS (DIAGRIDS) AS AN EARTHQUAKE-RESISTANT SYSTEM FOR TALL BUILDINGS HAVING A CIRCULAR PLAN S Roeslin Universidad Autónoma Metropolitana Azcapotzalco, Mexico, 2014 | | 2014 |