Zobrazeno 1 - 10
of 2 607
pro vyhledávání: '"A A, Hains"'
The selection of the assumed effect size (AES) critically determines the duration of an experiment, and hence its accuracy and efficiency. Traditionally, experimenters determine AES based on domain knowledge. However, this method becomes impractical
Externí odkaz:
http://arxiv.org/abs/2312.12871
Autor:
Ebadifard, Nassi, Parihar, Ajitesh, Khmelevsky, Youry, Hains, Gaetan, Wong, Albert, Zhang, Frank
A data warehouse efficiently prepares data for effective and fast data analysis and modelling using machine learning algorithms. This paper discusses existing solutions for the Data Extraction, Transformation, and Loading (ETL) process and automation
Externí odkaz:
http://arxiv.org/abs/2312.12774
Autor:
Wong, Albert, Whang, Steven, Sagre, Emilio, Sachin, Niha, Dutra, Gustavo, Lim, Yew-Wei, Hains, Gaetan, Khmelevsky, Youry, Zhang, Frank
Creating accurate predictions in the stock market has always been a significant challenge in finance. With the rise of machine learning as the next level in the forecasting area, this research paper compares four machine learning models and their acc
Externí odkaz:
http://arxiv.org/abs/2309.00618
Publikováno v:
2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision
Companies offering web services routinely run randomized online experiments to estimate the causal impact associated with the adoption of new features and policies on key performance metrics of interest. These experiments are used to estimate a varie
Externí odkaz:
http://arxiv.org/abs/2305.01109
With the growing needs of online A/B testing to support the innovation in industry, the opportunity cost of running an experiment becomes non-negligible. Therefore, there is an increasing demand for an efficient continuous monitoring service that all
Externí odkaz:
http://arxiv.org/abs/2304.00420
Autor:
Rachael Hains-Wesson, Kaiying Ji
Publikováno v:
Journal of Work-Applied Management, Vol 16, Iss 2, Pp 169-183 (2024)
Purpose – In this study, the authors explore students' and industry’s perceptions about the challenges and opportunities of participating in a large-scale, non-compulsory, individual, in-person and unpaid business placement programme at an Austra
Externí odkaz:
https://doaj.org/article/3a018a96efd44ec1bc88462404227a0b
Autor:
Stephen Bacchi, Amal Abou-Hamden, Kaviya Kalyanasundaram, Christopher Ovenden, Lewis Hains, Laure Mansour
Publikováno v:
BMJ Neurology Open, Vol 6, Iss Suppl 1 (2024)
Externí odkaz:
https://doaj.org/article/307cf01cdd2c4522b28540535d52b4b8
Autor:
Stephen Bacchi, Amal Abou-Hamden, Kaviya Kalyanasundaram, Christopher Ovenden, Lewis Hains, Laure Mansour
Publikováno v:
BMJ Neurology Open, Vol 6, Iss Suppl 1 (2024)
Externí odkaz:
https://doaj.org/article/74c110f7fcb243c2a9410443821b4ccb
Autor:
Harish Kamalanathan, Lewis Hains, Stephen Bacchi, Wrivu N. Martin, Ammar Zaka, Flynn Slattery, Joshua G. Kovoor, Aashray K. Gupta, Peter Psaltis, Pramesh Kovoor
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
PurposePodcasts are an increasingly popular medium for medical education in the field of cardiology. However, evidence suggests that the quality of the information presented can be variable. The aim of our study was to assess the quality of the most
Externí odkaz:
https://doaj.org/article/44d500c530904c23a9653a85282da443
Autor:
Nguyen, Linh T. 1, Hains, Anastasia E. 1, Aziz-Zanjani, Mohammad O. 1, 2, 3, Dalsass, Mattia 4, Farooqee, Sheikh B.U.D. 1, Lu, Yingzhou 1, Jackson, Peter K. 1, 2, 3, Van Rechem, Capucine 1, ∗
Publikováno v:
In Journal of Biological Chemistry December 2024 300(12)