Ramon Lawrence

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 37

Top Topics

Wireless Sensor

Embedded Devices

Top Venues

Publications

Kevin Wang, Jason Ramos, Ramon Lawrence
ChatEd: A Chatbot Leveraging ChatGPT for an Enhanced Learning Experience in Higher Education. CoRR (2024)
Justin Schoenit, Seth Akins, Ramon Lawrence
EmbedDB: A High-Performance Database for Resource-Constrained Embedded Systems Too Small for SQLite. SAC (2024)
Justin Schoenit, Seth Akins, Ramon Lawrence
EmbedDB: A High-Performance Time Series Database for Embedded Systems. ICEIS (1) (2024)
Kevin Wang, Ramon Lawrence
HelpMe: Student Help Seeking using Office Hours and Email. SIGCSE (1) (2024)
Louis Lascelles-Palys, Ramon Lawrence
Live Session Gamification using PrairieLearn. WCCCE (2024)
David Ding, Ivan Carvalho, Ramon Lawrence
Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices. CoRR (2023)
David Ding, Ivan Carvalho, Ramon Lawrence
Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices. SENSORNETS (2023)
Kevin Wang, Seth Akins, Abdallah Mohammed, Ramon Lawrence
Student Mastery or AI Deception? Analyzing ChatGPT's Assessment Proficiency and Evaluating Detection Strategies. CoRR (2023)
Ritayu Nagpal, Sam Long, Shahid Jahagirdar, Weiwei Liu, Scott Fazackerley, Ramon Lawrence, Amritpal Singh
An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection. CoRR (2023)
Ramon Lawrence, Sarah Foss, Tatiana Urazova
Evaluation of Submission Limits and Regression Penalties to Improve Student Behavior with Automatic Assessment Systems. ACM Trans. Comput. Educ. 23 (3) (2023)
Vadim Bulitko, Ramon Lawrence
Game-map Pathfinding with Per-Problem Selection of Synthesized Heuristics. CoG (2023)
Kevin Wang, Ramon Lawrence
Using Assignment Incentives to Reduce Student Procrastination and Encourage Code Review Interactions. CoRR (2023)
Marzi Rafieenia, Liza Wood, Mohsen Zardadi, Scott Fazackerley, Ramon Lawrence
Estimation of Average Annual Daily Bicycle Count Using Bike-Share GPS Data and Bike Counter Data for an Urban Active Transportation Network. CoRR (2023)
Nadir Ould-Khessal, Scott Fazackerley, Ramon Lawrence
An Efficient B-tree Implementation for Memory-Constrained Embedded Systems. CoRR (2023)
Matthew Currie, Ramon Lawrence
A Case Study on Record Matching of Individuals in Historical Archives of Indigenous Databases. CoRR (2023)
Ivan Carvalho, Ramon Lawrence
LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization. SSDBM (2023)
Ivan Carvalho, Ramon Lawrence
LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization. CoRR (2023)
Kyle Ranslam, Ramon Lawrence
A Data Analysis Pipeline for Automating Apple Trait Analysis and Prediction. DATA (2023)
Sarah Foss, Tatiana Urazova, Ramon Lawrence
Learning UML database design and modeling with AutoER. MoDELS (Companion) (2022)
Sarah Foss, Tatiana Urazova, Ramon Lawrence
Automatic Generation and Marking of UML Database Design Diagrams. SIGCSE (1) (2022)
Ramon Lawrence
Adaptive flash sorting for memory-constrained embedded devices. SAC (2021)
Scott Fazackerley, Ramon Lawrence
Improving the Efficiency of Embedded Data Logging on NAND Flash for IoT Systems. CCECE (2021)
Scott Fazackerley, Nadir Ould-Khessal, Ramon Lawrence
Efficient Flash Indexing for Time Series Data on Memory-constrained Embedded Sensor Devices. SENSORNETS (2021)
Jonathan Gresl, Scott Fazackerley, Ramon Lawrence
Practical Precision Agriculture with LoRa based Wireless Sensor Networks. SENSORNETS (2021)
Riley Jackson, Jonathan Gresl, Ramon Lawrence
Efficient External Sorting for Memory-Constrained Embedded Devices with Flash Memory. ACM Trans. Embed. Comput. Syst. 20 (4) (2021)
Riley Jackson, Ramon Lawrence
Faster Sorting for Flash Memory Embedded Devices. CCECE (2019)
Andrew Feltham, Spencer MacBeth, Scott Fazackerley, Ramon Lawrence
Adapting Linear Hashing for Flash Memory Resource-constrained Embedded Devices. ICEIS (1) (2019)
Andrew Feltham, Nadir Ould-Khessal, Spencer MacBeth, Scott Fazackerley, Ramon Lawrence
Linear Hashing Implementations for Flash Memory. ICEIS (Revised Selected Papers) (2019)
Matthew Fritter, Nadir Ould-Khessal, Scott Fazackerley, Ramon Lawrence
Experimental Evaluation of Hash Function Performance on Embedded Devices. CCECE (2018)
Wade Penson, Eric Huang, Dana Klamut, Eliana Wardle, Graeme Douglas, Scott Fazackerley, Ramon Lawrence
Continuous integration platform for Arduino embedded software. CCECE (2017)
Ramon Lawrence, Erik Brandsberg, Roland Lee
Next generation JDBC database drivers for performance, transparent caching, load balancing, and scale-out. SAC (2017)
Wade Penson, Scott Fazackerley, Ramon Lawrence
TEFS: A flash file system for use on memory constrained devices. CCECE (2016)
Graeme Douglas, Ramon Lawrence
Improving SQL query performance on embedded devices using pre-compilation. SAC (2016)
Scott Fazackerley, Wade Penson, Ramon Lawrence
Write improvement strategies for serial NOR dataflash memory. CCECE (2016)
Giuseppe Burtini, Jason L. Loeppky, Ramon Lawrence
A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit. CoRR (2015)
Scott Fazackerley, Eric Huang, Graeme Douglas, Raffi Kudlac, Ramon Lawrence
Key-value store implementations for Arduino microcontrollers. CCECE (2015)
Giuseppe Burtini, Jason L. Loeppky, Ramon Lawrence
Improving Online Marketing Experiments with Drifting Multi-armed Bandits. ICEIS (1) (2015)
Vadim Bulitko, Yngvi Björnsson, Ramon Lawrence
Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding. CoRR (2014)
Graeme Douglas, Ramon Lawrence
LittleD: a SQL database for sensor nodes and embedded applications. SAC (2014)
William Lee, Ramon Lawrence
Trading Space for Time in Grid-Based Path Finding. AAAI (2013)
William Lee, Ramon Lawrence
Fast Grid-Based Path Finding for Video Games. Canadian Conference on AI (2013)
Giuseppe Burtini, Scott Fazackerley, Ramon Lawrence
Reducing data transfer for charts on adaptive web sites. SAC (2013)
Ramon Lawrence, Vadim Bulitko
Database-Driven Real-Time Heuristic Search in Video-Game Pathfinding. IEEE Trans. Comput. Intell. AI Games 5 (3) (2013)
Michael Henderson, Ramon Lawrence
Are Multi-way Joins Actually Useful?. ICEIS (1) (2013)
Michael Henderson, Ramon Lawrence
An Evaluation of Multi-way Joins for Relational Database Systems. ICEIS (2013)
Giuseppe Burtini, Scott Fazackerley, Ramon Lawrence
Time series compression for adaptive chart generation. CCECE (2013)
Scott Fazackerley, Steven M. McAvoy, Ramon Lawrence
GPU accelerated AES-CBC for database applications. SAC (2012)
Vadim Bulitko, D. Chris Rayner, Ramon Lawrence
On Case Base Formation in Real-Time Heuristic Search. AIIDE (2012)
Scott Fazackerley, Andrew Campbell, Robert Ryan Trenholm, Ramon Lawrence
A holistic framework for water sustainability and eduction in municipal green spaces. CCECE (2012)
Scott Fazackerley, Ramon Lawrence
A flash resident file system for embedded sensor networks. CCECE (2011)
Vadim Bulitko, Yngvi Björnsson, Ramon Lawrence
Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding. J. Artif. Intell. Res. 39 (2010)
Tyler Cossentine, Ramon Lawrence
Fast sorting on flash memory sensor nodes. IDEAS (2010)
Ramon Lawrence, Vadim Bulitko
Taking Learning Out of Real-Time Heuristic Search for Video-Game Pathfinding. Australasian Conference on Artificial Intelligence (2010)
Michael Henderson, Bryce Cutt, Ramon Lawrence
Exploiting join cardinality for faster hash joins. SAC (2009)
Bryce Cutt, Ramon Lawrence
Using intrinsic data skew to improve hash join performance. Inf. Syst. 34 (6) (2009)
Scott Fazackerley, Alan Paeth, Ramon Lawrence
Cluster head selection using RF signal strength. CCECE (2009)
Ramon Lawrence
Using slice join for efficient evaluation of multi-way joins. Data Knowl. Eng. 67 (1) (2008)
Bryce Cutt, Ramon Lawrence
Managing data quality in a terabyte-scale sensor archive. SAC (2008)
Ramon Lawrence, Ralph P. Russo, Nariankadu D. Shyamalkumar
The effect of reading policy on early join result production. Inf. Sci. 177 (19) (2007)
Uchang Park, Ramon Lawrence
A database integration system based on global view generation. ICEIS (1) (2007)
Terrence Mason, Ramon Lawrence
Auto-completion of Underspecified SQL Queries. ER (2006)
Eduard C. Dragut, Ramon Lawrence
Reducing the Cost of Validating Mapping Compositions by Exploiting Semantic Relationships. OTM Conferences (1) (2006)
Anton Kruger, Ramon Lawrence, Eduard Constantin Dragut
Building a terabyte NEXRAD radar database for hydrometeorology research. Comput. Geosci. 32 (2) (2006)
Terrence Mason, Ramon Lawrence
Dynamic Database Integration in a JDBC Driver. ICEIS (1) (2005)
Ramon Lawrence
Early Hash Join: A Configurable Algorithm for the Efficient and Early Production of Join Results. VLDB (2005)
Terrence Mason, Ramon Lawrence
INFER: a relational query language without the complexity of SQL. CIKM (2005)
Terrence Mason, Lixin Wang, Ramon Lawrence
Autojoin: Providing Freedom from Specifying Joins. ICEIS (2005)
Anton Kruger, Ramon Lawrence
An Architecture for Real-Time Warehousing of Scientific Data. CSC (2005)
Eduard C. Dragut, Ramon Lawrence
Composing Mappings Between Schemas Using a Reference Ontology. CoopIS/DOA/ODBASE (1) (2004)
Ramon Lawrence
The space efficiency of XML. Inf. Softw. Technol. 46 (11) (2004)
Ramon Lawrence
Teaching data structures using competitive games. IEEE Trans. Educ. 47 (4) (2004)
Ramon Lawrence, Ken Barker
Using Unity to Semi-Automatically Integrate Relational Schema. ICDE (2002)
Ramon Lawrence
Naming in XML Documents. OTM (2002)
Ramon Lawrence, Ken Barker
Integrating relational database schemas using a standardized dictionary. SAC (2001)
Ramon Lawrence, Ken Barker
Querying Relational Databases without Explicit Joins. ER (Workshops) (2001)