Improving code compression using clustered modalities. - Chris J. Michael 001; Maciej Brodowicz; Thomas L. Sterling (ACM Southeast Regional Conference, 2008)

The effects on branch prediction when utilizing control independence. - Chris J. Michael 001; David M. Koppelman (IPDPS Workshops, 2010)

Discovering barriers to efficient execution, both obvious and subtle, using instruction-level visualization. - David M. Koppelman; Chris J. Michael 001 (VPA@SC, 2014)

Efficient Situational Scheduling of Graph Workloads on Single-Chip Multicores and GPUs. - Masab Ahmad; Christopher J. Michael 001; Omer Khan (IEEE Micro, 2017)

A General Framework for Human-Machine Digitization of Geographic Regions from Remotely Sensed Imagery. - Christopher J. Michael 001; Steven M. Dennis; Corey Maryan; Samuel Irving; Margaret L. Palmsten (SIGSPATIAL/GIS, 2019)

GPU road network graph contraction and SSSP query. - Roozbeh Karimi; David M. Koppelman; Chris J. Michael 001 (ICS, 2019)

HeteroMap: A Runtime Performance Predictor for Efficient Processing of Graph Analytics on Heterogeneous Multi-Accelerators. - Masab Ahmad; Halit Dogan; Christopher J. Michael 001; Omer Khan (ISPASS, 2019)

CUDA-DTM: Distributed Transactional Memory for GPU Clusters. - Samuel Irving; Sui Chen; Lu Peng 001; Costas Busch; Maurice Herlihy; Christopher J. Michael 001 (NETYS, 2019)

Towards Generalizing Stochastic Spatiotemporal Graphs for Analyzing Least-Cost Path Stability. - Chris J. Michael 001; Joseph P. Macker; Frederick E. Petry (SSDBM, 2019)

Machine learning applications in detecting rip channels from images. - Corey Maryan; Md. Tamjidul Hoque; Christopher J. Michael 001; Elias Ioup; Mahdi Abdelguerfi (Appl. Soft Comput., 2019)

Fast GPU Graph Contraction by Combining Efficient Shallow Searches and Post-Culling. - Roozbeh Karimi; David M. Koppelman; Chris J. Michael 001 (HPEC, 2020)

On Interactive Machine Learning and the Potential of Cognitive Feedback. - Chris J. Michael 001; Dina M. Acklin; Jaelle Scheuerman (CoRR, 2020)

An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks. - Deniz Gurevin; Chris J. Michael 001; Omer Khan (HPEC, 2021)

Designing Interactive Machine Learning Systems for GIS Applications. - Jaelle Scheuerman; Chris J. Michael 001; Brad Landreneau; Dina M. Acklin; Jason L. Harman (Engineering Artificially Intelligent Systems, 2021)

Multi-Channel Residual Learning for Marine Mammal Vocalization Classification. - Daniel T. Murphy; Elias Ioup; Christopher J. Michael 001; Md. Tamjidul Hoque; Mahdi Abdelguerfi (IGARSS, 2022)

Generative Neural Net for Spatial Concept-to-Image. - Brendan Young; Derek T. Anderson; James M. Keller; Fred Petry; Chris J. Michael 001 (AIPR, 2023)

Human-Oriented Fuzzy Set Based Explanations of Spatial Concepts. - Brendan Young; Derek T. Anderson; James M. Keller; Fred Petry; Chris J. Michael 001; Blake Ruprecht (FUZZ, 2023)

Optimization of a Human-Machine Team for Geographic Region Digitization. - Steven M. Dennis; Christopher J. Michael 001 (HCI (6), 2023)

Closed-Loop Uncertainty: The Evaluation and Calibration of Uncertainty for Human-Machine Teams under Data Drift. - Zachary Bishof; Jaelle Scheuerman; Chris J. Michael 001 (Entropy, 2023)

The Extension Principle for Angular Domains and its Application to Spatial Relations. - Brendan Young; Derek T. Anderson; James M. Keller; Fred Petry; Chris J. Michael 001 (FUZZ, 2024)