Dynamical Robustness in Gene Regulatory Networks. - Jean-Loup Faulon; Shawn Martin; Robert D. Carr (CSB, 2004)

Inferring Genetic Networks from Microarray Data. - Shawn Martin; George Davidson; Elebeoba E. May; Jean-Loup Faulon; Margaret Werner-Washburne (CSB, 2004)

Inverse Design of Large Molecules using Linear Diophantine Equations. - Shawn Martin; W. Michael Brown; Jean-Loup Faulon; Derick C. Weis; Donald P. Visco (CSB Workshops, 2005)

Training Support Vector Machines Using Gilbert's Algorithm. - Shawn Martin (ICDM, 2005)

Estimating manifold dimension by inversion error. - Shawn Martin; Alex Bäcker (SAC, 2005)

Predicting protein-protein interactions using signature products. - Shawn Martin; Diana C. Roe; Jean-Loup Faulon (Bioinform., 2005)

Reverse engineering chemical structures from molecular descriptors: how many solutions? - Jean-Loup Faulon; W. Michael Brown; Shawn Martin (J. Comput. Aided Mol. Des., 2005)

An Approximate Version of Kernel PCA. - Shawn Martin (ICMLA, 2006)

The Numerical Stability of Kernel Methods. - Shawn Martin (AI&M, 2006)

Designing Novel Polymers with Targeted Properties Using the Signature Molecular Descriptor. - W. Michael Brown; Shawn Martin; Mark D. Rintoul; Jean-Loup Faulon (J. Chem. Inf. Model., 2006)

Predicting building contamination using machine learning. - Shawn Martin; Sean McKenna (ICMLA, 2007)

Boolean dynamics of genetic regulatory networks inferred from microarray time series data. - Shawn Martin; Zhaoduo Zhang; Anthony Martino; Jean-Loup Faulon (Bioinform., 2007)

Inferring protein-protein interaction networks from protein complex data. - Shawn Martin; Zisu Mao; Linda S. Chan; Suraiya Rasheed (Int. J. Bioinform. Res. Appl., 2007)

Genome scale enzyme-metabolite and drug-target interaction predictions using the signature molecular descriptor. - Jean-Loup Faulon; Milind Misra; Shawn Martin; Ken Sale; Rajat Sapra (Bioinform., 2008)

Efficient Calculation of Molecular Properties from Simulation Using Kernel Molecular Dynamics. - W. Michael Brown; Ariella Sasson; Donald R. Bellew; Lucy A. Hunsaker; Shawn Martin; Andrei Leitão; Lorraine M. Deck; David L. Vander Jagt; Tudor I. Oprea (J. Chem. Inf. Model., 2008)

OpenOrd: an open-source toolbox for large graph layout. - Shawn Martin; W. Michael Brown; Richard Klavans; Kevin W. Boyack (Visualization and Data Analysis, 2011)

Non-manifold surface reconstruction from high-dimensional point cloud data. - Shawn Martin; Jean-Paul Watson (Comput. Geom., 2011)

Using graph layout to generalise focus+context image magnification and distortion. - Shawn Martin; Vijay Subramanya; Steven Mills (IVCNZ, 2012)

Lattice Enumeration for Inverse Molecular Design Using the Signature Descriptor. - Shawn Martin (J. Chem. Inf. Model., 2012)

Improved Spectral Clustering Using Adaptive Mahalanobis Distance. - Xiping Fu; Shawn Martin; Steven Mills; Brendan McCane (ACPR, 2013)

Singularity resolution for dimension reduction. - Shawn Martin; Lech Szymanski (IVCNZ, 2013)

Slycat Ensemble Analysis of Electrical Circuit Simulations. - Patricia J. Crossno; Timothy M. Shead; Milosz A. Sielicki; Warren L. Hunt; Shawn Martin; Ming-yu Hsieh (Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces, 2015)

Using Bipartite Anomaly Features for Cyber Security Applications. - Eric L. Goodman; Joe Ingram; Shawn Martin; Dirk Grunwald (ICMLA, 2015)

Interactive Visualization of Multivariate Time Series Data. - Shawn Martin; Tu-Toan Quach (HCI (14), 2016)

Textual analysis and the history of scholarly communication. - Shawn Martin (ASIST, 2017)

Understanding Perspectives on Sharing Neutron Data at Oak Ridge National Laboratory. - Devan Ray Donaldson; Shawn Martin; Thomas Proffen (Data Sci. J., 2017)

A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle. - Michael Teti; Elan Barenholtz; Shawn Martin; William Edward Hahn (CoRR, 2018)

VideoSwarm: Analyzing Video Ensembles. - Shawn Martin; Milosz A. Sielicki; Jaxon Gittinger; Matthew Letter; Warren L. Hunt; Patricia J. Crossno (Visualization and Data Analysis, 2019)

A controlled investigation of behaviorally-cloned deep neural network behaviors in an autonomous steering task. - Michael Teti; William Edward Hahn; Shawn Martin; Christopher Teti; Elan Barenholtz (Robotics Auton. Syst., 2021)

Mesh distance for dimension reduction and visualization of numerical simulation data. - Shawn Martin; Milosz A. Sielicki; Matthew Letter; Jaxon Gittinger; Warren L. Hunt; Patricia J. Crossno (Visualization and Data Analysis, 2023)