“Shaking out the clothes for spiders”: Folklife Traditions Along Louisiana’s Cane River Lake Organizer and discussant: Shane Rasmussen Panel Participants: Margie C. Armstrong Rev. Henry Edwards Bobbie Jackson

Source URL: louisianafolklife.nsula.edu

CAB Meeting Minutes April 12, :00AM - 2:00PM Attendees: Marcia Moriarta, Tanya Baker-McCue, Christy Barden, Cynthia Berkheimer, Sophie Bertrand, Rhonda Bofman, Shane Bower, J. Bower, Tony Cahill, Judy Greenfeld, J

Source URL: cdd.unm.edu

• Special education
• Psychiatric diagnosis
• Disability
• Developmental disability

Embedded Sound Synthesis Victor LAZZARINI, Joseph TIMONEY and Shane BYRNE Sound and Digital Music Technology Group Maynooth University Maynooth, Co.Kildare Ireland,

Source URL: lac.linuxaudio.org

• Single-board computers
• Microcontrollers
• Internet of Things
• Arduino
• Linux-based devices
• Intel Edison
• General-purpose input/output
• Csound
• Raspberry Pi
• Intel Galileo
• OLinuXino

The Relationship between Commit Message Detail and Defect Proneness in Java Projects on GitHub Jacob G. Barnett, Charles K. Gathuru, Luke S. Soldano, and Shane McIntosh McGill University, Montréal, Canada {jacob.barnet

Source URL: shanemcintosh.org

The Impact of Task Granularity on Co-evolution Analyses Keisuke Miura Shane McIntosh Yasutaka Kamei

Source URL: posl.ait.kyushu-u.ac.jp

• Version control systems
• Software development process
• Technical communication
• Version control
• Apache Subversion
• Git
• Concurrent Versions System

Predicting Build Co-Changes with Source Code Change and Commit Categories Christian Macho Shane McIntosh

Source URL: serg.aau.at

• Computing
• Economy
• Software
• Cybernetics
• Learning
• Machine learning
• Apache Hadoop
• Gini coefficient
• Economic model
• American University in Cairo
• Prediction
• Version control

Photo by Shane Tucker FOSSIL DIG 2016 Don’t miss this opportunity to experience a fossil dig near Ashfall Fossil Beds. Excavation near Ashfall Fossil BedsReservation Form

Source URL: www.ashfall.unl.edu

Automated Parameter Optimization of Classification Techniques for Defect Prediction Models Chakkrit Tantithamthavorn1 , Shane McIntosh2 , Ahmed E. Hassan3 , Kenichi Matsumoto1 1 Nara Institute of Science and

Source URL: sail.cs.queensu.ca

• Statistics
• Machine learning
• Statistical classification
• Artificial intelligence
• Ensemble learning
• Statistical inference
• Computational statistics
• Support vector machine
• Bootstrapping
• Boosting
• Naive Bayes classifier
• Gradient boosting

Noname manuscript No. (will be inserted by the editor) Identifying and Understanding Header File Hotspots in C/C++ Build Processes Shane McIntosh · Bram Adams · Meiyappan

Source URL: sail.cs.queensu.ca

• Software
• Build automation
• Compiling tools
• GNU Build System
• Make
• Include directive
• Autoconf
• DBase
• Continuous integration
• Dependency graph
• Apache Ant