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Beliz Ugurhan Gokkaya
Beliz Ugurhan Gokkaya
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Підтверджена електронна адреса в stanford.edu
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Large language models for software engineering: Survey and open problems
A Fan, B Gokkaya, M Harman, M Lyubarskiy, S Sengupta, S Yoo, ...
2023 IEEE/ACM International Conference on Software Engineering: Future of …, 2023
3482023
Quantifying the impacts of modeling uncertainties on the seismic drift demands and collapse risk of buildings with implications on seismic design checks
BU Gokkaya, JW Baker, GG Deierlein
Earthquake Engineering & Structural Dynamics 45 (10), 1661-1683, 2016
1452016
Stochastic strong ground motion simulation of the 12 November 1999 Düzce (Turkey) earthquake using a dynamic corner frequency approach
B Ugurhan, A Askan
Bulletin of the Seismological Society of America 100 (4), 1498-1512, 2010
822010
Automated unit test improvement using large language models at meta
N Alshahwan, J Chheda, A Finogenova, B Gokkaya, M Harman, I Harper, ...
Companion Proceedings of the 32nd ACM International Conference on the …, 2024
652024
Site characterisation in north-western Turkey based on SPAC and HVSR analysis of microtremor noise
MW Asten, A Askan, EE Ekincioglu, FN Sisman, B Ugurhan
Exploration Geophysics 45 (2), 74-85, 2014
602014
8 March 2010 Elazıg-Kovancılar (Turkey) earthquake: Observations on ground motions and building damage
S Akkar, A Aldemir, A Askan, S Bakır, E Canbay, IO Demirel, MA Erberik, ...
Seismological Research Letters 82 (1), 42-58, 2011
522011
Stochastic strong ground motion simulations in sparsely-monitored regions: a validation and sensitivity study on the 13 March 1992 Erzincan (Turkey) earthquake
A Askan, FN Sisman, B Ugurhan
Soil Dynamics and Earthquake Engineering 55, 170-181, 2013
462013
Strong‐ground‐motion simulation of the 6 April 2009 L’Aquila, Italy, earthquake
B Ugurhan, A Askan, A Akinci, L Malagnini
Bulletin of the Seismological Society of America 102 (4), 1429-1445, 2012
462012
A methodology for seismic loss estimation in urban regions based on ground-motion simulations
B Ugurhan, A Askan, MA Erberik
Bulletin of the Seismological Society of America 101 (2), 710-725, 2011
322011
Estimation and impacts of model parameter correlation for seismic performance assessment of reinforced concrete structures
BU Gokkaya, JW Baker, GG Deierlein
Structural Safety 69, 68-78, 2017
312017
UNCERTAINTY ESTIMATION IN SEISMIC COLLAPSE ASSESSMENT OF MODERN REINFORCED CONCRETE MOMENT FRAME BUILDINGS
B Ugurhan, JW Baker, GG Deierlein
Tenth U.S. National Conference on Earthquake Engineering Frontiers of …, 2014
242014
Illustrating a Bayesian approach to seismic collapse risk assessment
BU Gokkaya, JW Baker, GG Deierlein
142015
HackPPL: a universal probabilistic programming language
J Ai, NS Arora, N Dong, B Gokkaya, T Jiang, A Kubendran, A Kumar, ...
Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine …, 2019
112019
Seismic reliability assessment of structures incorporating modeling uncertainty and implications for seismic collapse safety
BU Gokkaya
Stanford University, 2015
92015
Incorporating model uncertainty in collapse reliability assessment of buildings
B Ugurhan, JW Baker, GG Deierlein
Proceedings of the 11th international conference on structural safety and …, 2013
72013
Large language models for software engineering: Survey and open problems. In 2023 IEEE
A Fan, B Gokkaya, M Harman, M Lyubarskiy, S Sengupta, S Yoo, ...
ACM International Conference on Software Engineering: Future of Software …, 0
6
Large language models for software engineering: Survey and open problems (2023)
A Fan, B Gokkaya, M Harman, M Lyubarskiy, S Sengupta, S Yoo, ...
arXiv preprint arXiv:2310.03533, 0
5
System and method for automatically tagging products for an e-commerce web application and providing product recommendations
B Gokkaya, LL Wai
US Patent 10,529,000, 2020
22020
RouBL: A computationally efficient way to go beyond mean-field variational inference
EM Audrey Flower, Beliz Gokkaya, Sahar Karimi, Ilknur Kaynar Kabul
ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning, 2021
12021
Bayesian Neural Networks using HackPPL with Application to User Location State Prediction
B Gokkaya, J Ai, M Tingley, Z Yonglong, N Dong, T Jiang, A Kubendran, ...
https://research.fb.com/wp-content/uploads/2018/12/Bayesian-Neural-Networks …, 2018
12018
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