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Shawn Martin
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- affiliation: University of Otago, Dunedin, New Zealand
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Journal Articles
- 2021
- [j11]Michael Teti, William Edward Hahn, Shawn Martin, Christopher Teti, Elan Barenholtz:
A controlled investigation of behaviorally-cloned deep neural network behaviors in an autonomous steering task. Robotics Auton. Syst. 142: 103780 (2021) - 2017
- [j10]Devan Ray Donaldson
, Shawn Martin
Understanding Perspectives on Sharing Neutron Data at Oak Ridge National Laboratory. Data Sci. J. 16: 35 (2017) - 2012
- [j9]Shawn Martin:
Lattice Enumeration for Inverse Molecular Design Using the Signature Descriptor. J. Chem. Inf. Model. 52(7): 1787-1797 (2012) - 2011
- [j8]Shawn Martin, Jean-Paul Watson:
Non-manifold surface reconstruction from high-dimensional point cloud data. Comput. Geom. 44(8): 427-441 (2011) - 2008
- [j7]Jean-Loup Faulon
Genome scale enzyme-metabolite and drug-target interaction predictions using the signature molecular descriptor. Bioinform. 24(2): 225-233 (2008) - [j6]W. Michael Brown, Ariella Sasson, Donald R. Bellew, Lucy A. Hunsaker, Shawn Martin, Andrei Leitão
Efficient Calculation of Molecular Properties from Simulation Using Kernel Molecular Dynamics. J. Chem. Inf. Model. 48(8): 1626-1637 (2008) - 2007
- [j5]Shawn Martin, Zhaoduo Zhang, Anthony Martino, Jean-Loup Faulon
Boolean dynamics of genetic regulatory networks inferred from microarray time series data. Bioinform. 23(7): 866-874 (2007) - [j4]Shawn Martin, Zisu Mao, Linda S. Chan, Suraiya Rasheed:
Inferring protein-protein interaction networks from protein complex data. Int. J. Bioinform. Res. Appl. 3(4): 480-492 (2007) - 2006
- [j3]W. Michael Brown, Shawn Martin, Mark D. Rintoul, Jean-Loup Faulon
Designing Novel Polymers with Targeted Properties Using the Signature Molecular Descriptor. J. Chem. Inf. Model. 46(2): 826-835 (2006) - 2005
- [j2]Shawn Martin, Diana C. Roe, Jean-Loup Faulon
Predicting protein-protein interactions using signature products. Bioinform. 21(2): 218-226 (2005) - [j1]Jean-Loup Faulon
Reverse engineering chemical structures from molecular descriptors: how many solutions? J. Comput. Aided Mol. Des. 19(9-10): 637-650 (2005)
Conference and Workshop Papers
- 2023
- [c17]Shawn Martin, Milosz A. Sielicki, Matthew Letter, Jaxon Gittinger, Warren L. Hunt, Patricia J. Crossno:
Mesh distance for dimension reduction and visualization of numerical simulation data. Visualization and Data Analysis 2023: 1-12 - 2019
- [c16]Shawn Martin, Milosz A. Sielicki, Jaxon Gittinger, Matthew Letter, Warren L. Hunt, Patricia J. Crossno:
VideoSwarm: Analyzing Video Ensembles. Visualization and Data Analysis 2019 - 2017
- [c15]Shawn Martin
Textual analysis and the history of scholarly communication. ASIST 2017: 752-753 - 2016
- [c14]Shawn Martin, Tu-Toan Quach:
Interactive Visualization of Multivariate Time Series Data. HCI (14) 2016: 322-332 - 2015
- [c13]Eric L. Goodman, Joe Ingram, Shawn Martin, Dirk Grunwald:
Using Bipartite Anomaly Features for Cyber Security Applications. ICMLA 2015: 301-306 - 2013
- [c12]Xiping Fu, Shawn Martin, Steven Mills
Improved Spectral Clustering Using Adaptive Mahalanobis Distance. ACPR 2013: 171-175 - [c11]Shawn Martin, Lech Szymanski:
Singularity resolution for dimension reduction. IVCNZ 2013: 19-24 - 2012
- [c10]Shawn Martin, Vijay Subramanya, Steven Mills
Using graph layout to generalise focus+context image magnification and distortion. IVCNZ 2012: 97-102 - 2011
- [c9]Shawn Martin, W. Michael Brown, Richard Klavans, Kevin W. Boyack
OpenOrd: an open-source toolbox for large graph layout. Visualization and Data Analysis 2011: 786806 - 2007
- [c8]Shawn Martin, Sean McKenna:
Predicting building contamination using machine learning. ICMLA 2007: 192-197 - 2006
- [c7]Shawn Martin:
An Approximate Version of Kernel PCA. ICMLA 2006: 239-244 - [c6]Shawn Martin:
The Numerical Stability of Kernel Methods. AI&M 2006 - 2005
- [c5]Shawn Martin, W. Michael Brown, Jean-Loup Faulon, Derick C. Weis, Donald P. Visco
Inverse Design of Large Molecules using Linear Diophantine Equations. CSB Workshops 2005: 11-16 - [c4]Shawn Martin:
Training Support Vector Machines Using Gilbert's Algorithm. ICDM 2005: 306-313 - [c3]Shawn Martin, Alex Bäcker:
Estimating manifold dimension by inversion error. SAC 2005: 22-26 - 2004
- [c2]Shawn Martin, George Davidson, Elebeoba E. May, Jean-Loup Faulon, Margaret Werner-Washburne:
Inferring Genetic Networks from Microarray Data. CSB 2004: 566-569 - [c1]Jean-Loup Faulon, Shawn Martin, Robert D. Carr:
Dynamical Robustness in Gene Regulatory Networks. CSB 2004: 626-627
Parts in Books or Collections
- 2015
- [p1]Patricia J. Crossno, Timothy M. Shead, Milosz A. Sielicki, Warren L. Hunt, Shawn Martin, Ming-yu Hsieh:
Slycat Ensemble Analysis of Electrical Circuit Simulations. Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces 2015: 279-294
Informal and Other Publications
- 2018
- [i1]Michael Teti, Elan Barenholtz, Shawn Martin, William Edward Hahn:
A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle. CoRR abs/1803.09386 (2018)
Coauthor Index
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