Integrating cross-scale analysis in the spatial and temporal domains for classification of behavioral movement. - Ali Soleymani; Jonathan Cachat; Kyle Robinson; Somayeh Dodge; Allan Kalueff; Robert Weibel (J. Spatial Inf. Sci., 2014)

Shallow Art: Art Extension Through Simple Machine Learning. - Kyle Robinson; Dan Brown 001 (ICCC, 2019)

User Insights on Diversity in Music Recommendation Lists. - Kyle Robinson; Dan Brown 001; Markus Schedl (ISMIR, 2020)

Quantitative User Perceptions of Music Recommendation List Diversity. - Kyle Robinson; Dan Brown 001 (ISMIR, 2021)

Birds of prey: identifying lexical irregularities in spam on Twitter. - Kyle Robinson; Vijay Mago (Wirel. Networks, 2022)

Automated Time-frequency Domain Audio Crossfades using Graph Cuts. - Kyle Robinson; Dan Brown 001 (CoRR, 2023)

Large Music Recommendation Studies for Small Teams. - Kyle Robinson; Dan Brown 001 (CoRR, 2023)

Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software? - Ryan Hasler; Konstantin Läufer; George K. Thiruvathukal; Huiyun Peng; Kyle Robinson; Kirsten Davis; Yung-Hsiang Lu; James C. Davis 001 (CoRR, 2024)