3 citations · 7 across the 6 of their papers we have counts for
6 papers
LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization
Ivan Carvalho, Ramon Lawrence
This work analyzes and parallelizes LearnedSort, the novel algorithm that sorts using machine learning models based on the cumulative distribution function. LearnedSort is analyzed…
An Efficient B-tree Implementation for Memory-Constrained Embedded Systems
Nadir Ould-Khessal, Scott Fazackerley, Ramon Lawrence
Embedded devices collect and process significant amounts of data in a variety of applications including environmental monitoring, industrial automation and control, and other Inter…
A Case Study on Record Matching of Individuals in Historical Archives of Indigenous Databases
Matthew Currie, Ramon Lawrence
Digitization of historical records has produced a significant amount of data for analysis and interpretation. A critical challenge is the ability to relate historical information a…
Estimation of Average Annual Daily Bicycle Count Using Bike-Share GPS Data and Bike Counter Data for an Urban Active Transportation Network
Marzi Rafieenia, Liza Wood, Mohsen Zardadi +2
In 2018, the City of Kelowna entered into a license agreement with Dropbike to operate a dockless bike-share pilot in and around the downtown core. The bikes were tracked by the us…
An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection
Ritayu Nagpal, Sam Long, Shahid Jahagirdar +4
Tree fruit breeding is a long-term activity involving repeated measurements of various fruit quality traits on a large number of samples. These traits are traditionally measured by…
Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices
David Ding, Ivan Carvalho, Ramon Lawrence
Efficiently querying data on embedded sensor and IoT devices is challenging given the very limited memory and CPU resources. With the increasing volumes of collected data, it is cr…