Implementing Virtual Robots in Java3D using a Behavior Based Architecture. - Nathan Smith; Christopher A. Egert; Elisabeth Ciddihy; Deborah Walters (WebNet, 1999)

Efficient ML training of CDHMM parameters based on prior evolution, posterior intervention and feedback. - Qiang Hue; Nathan Smith; Bin Ma 001 (ICASSP, 2000)

Data-dependent kernels in svm classification of speech patterns. - Nathan Smith; Mahesan Niranjan (INTERSPEECH, 2000)

Use of DaSSF in a scalable multiprocessor wireless simulation architecture. - Trefor J. Delve; Nathan Smith (WSC, 2001)

Network modeling and simulation: a motion environment for wireless communications systems simulations. - Nathan Smith; Trefor J. Delve (WSC, 2002)

The Limits of Motion Prediction Support for Ad hoc Wireless Network Performance. - Stephen F. Bush; Nathan Smith (ICWN, 2005)

iRun: Interactive Rendering of Large Unstructured Grids. - Huy T. Vo; Steven P. Callahan; Nathan Smith; Cláudio T. Silva; William Martin 002; David Owen; David Weinstein (EGPGV, 2007)

Prototype of a social networking application in a multi-hop autonomous ad hoc network. - Nathan Smith; Jeff Bonta (MASS, 2008)

Evaluation of the Effects of User-Sensitivity on Text Summarization. - Hien Nguyen 001; Eugene Santos Jr.; Russell Jacob; Nathan Smith (Web Intelligence, 2008)

Information Theory Analysis of Cascading Process in a Synthetic Model of Fluid Turbulence. - Massimo Materassi; Giuseppe Consolini; Nathan Smith; Rossana De Marco (Entropy, 2014)

VisTrails 2.2.4. - Juliana Freire; Cláudio T. Silva; Erik W. Anderson; Louis Bavoil; Clifton Brooks; Jason H. Callahan; Steven P. Callahan; Lorena Carlo; Tommy Ellqvist; David Koop; Lauro Didier Lins; Phillip Mates; et al. (Zenodo, 2016)

A 16-Element Phased-Array Transceiver in 130-nm SiGe BiCMOS for Fixed Wireless Access Covering the Full 57-71 GHz Band. - Alexander Tomkins; Eric Juntunen; Alan Poon; Hamed Golestaneh; Hassan Shakoor; Grigori Temkine; Ghazal Nabovati; Nima Gilanpour; Austin Chen; Adrine Sargsyan; Nathan Smith; Asim Ali; et al. (RWS, 2020)

Using Discrete-Event Simulation to Analyze the Impact of Variation on Surgical Training Programs. - Fumiya Abe-Nornes; Samir Agarwala; Nathan Smith; Rachel Zhang; Amy Cohn; Angela Thelen; Rishindra Reddy; Brian George (WSC, 2022)

A machine learning model to predict preeclampsia in pregnant women. - Janet Louise Wesson; Nathan Smith (CENTERIS/ProjMAN/HCist, 2023)