7 citations · 9 across the 5 of their papers we have counts for
5 papers
Data Extraction, Transformation, and Loading Process Automation for Algorithmic Trading Machine Learning Modelling and Performance Optimization
Nassi Ebadifard, Ajitesh Parihar, Youry Khmelevsky +3
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 Dat…
Translating Natural Language Queries to SQL Using the T5 Model
Albert Wong, Lien Pham, Young Lee +7
This paper presents the development process of a natural language to SQL model using the T5 model as the basis. The models, developed in August 2022 for an online transaction proce…
Short-Term Stock Price Forecasting using exogenous variables and Machine Learning Algorithms
Albert Wong, Steven Whang, Emilio Sagre +6
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, t…
Phase Identification of Smart Meters Using a Fourier Series Compression and a Statistical Clustering Algorithm
Jeremy J. Chiu, Albert Wong, James Park +3
Accurate labeling of phase connectivity in electrical distribution systems is important for maintenance and operations but is often erroneous or missing. In this paper, we present…
Gamers Private Network Performance Forecasting. From Raw Data to the Data Warehouse with Machine Learning and Neural Nets
Albert Wong, Chun Yin Chiu, Gaétan Hains +4
Gamers Private Network (GPN) is a client/server technology that guarantees a connection for online video games that is more reliable and lower latency than a standard internet conn…