Human Action Classification Using Temporal Slicing for Deep Convolutional Neural Networks. - Nathan Henderson; Ramazan Aygun (ISM, 2017)

A Scalable Platform to Collect, Store, Visualize, and Analyze Big Data in Real Time. - Chetan Harichandra Mendhe; Nathan Henderson; Gautam Srivastava 001; Vijay Mago (IEEE Trans. Comput. Soc. Syst., 2021)

Stub Folding: Retaining Type Specialization to Increase the Efficiency of Highly Polymorphic Inline Caches. - Nathan Henderson; Iain Ireland; Matthew Gaudet; João P. L. de Carvalho; José Nelson Amaral (CASCON, 2023)

To Pack or Not to Pack: A Generalized Packing Analysis and Transformation. - Caio Salvador Rohwedder; Nathan Henderson; João P. L. de Carvalho; Yufei Chen; José Nelson Amaral (CGO, 2023)

CacheIR: The Benefits of a Structured Representation for Inline Caches. - Jan de Mooij; Matthew Gaudet; Iain Ireland; Nathan Henderson; José Nelson Amaral (MPLR, 2023)