3 citations · 9 across the 8 of their papers we have counts for
8 papers
Proceedings of HLPP 2026: 19th International Symposium on High-Level Parallel Programming and Applications
Chong Li, Corinne Ancourt, Gaétan Hains
This volume contains the ten peer-reviewed papers presented at HLPP 2026, the 19th International Symposium on High-Level Parallel Programming and Applications, held on 9-10 July 20…
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…
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…
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…
Parallel Programming Applied Research Projects for Teaching Parallel Programming to Beginner Students
Youry Khmelevsky, Gaetan J. D. R. Hains
In this paper, we discuss the educational value of a few mid-size and one large applied research projects at the Computer Science Department of Okanagan College (OC) and at the Uni…
Machine Learning Prediction of Gamer's Private Networks
Chris Mazur, Jesse Ayers, Gaetan Hains +1
The Gamer's Private Network (GPN) is a client/server technology created by WTFast for making the network performance of online games faster and more reliable. GPN s use middle-mile…
State-of-the-Art on Query & Transaction Processing Acceleration
Bernd Amann, Youry Khmelevsky, Gaetan Hains
The vast amount of processing power and memory bandwidth provided by modern Graphics Processing Units (GPUs) make them a platform for data-intensive applications. The database comm…
Formal methods and software engineering for DL. Security, safety and productivity for DL systems development
Gaetan J. D. R. Hains, Arvid Jakobsson, Youry Khmelevsky
Deep Learning (DL) techniques are now widespread and being integrated into many important systems. Their classification and recognition abilities ensure their relevance for multipl…