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ORCIDJ. S. Marron
James Stephen Marron – Steve Marron
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2020 – today
- 2024
[j45]Xi Yang, Jan Hannig
, Katherine A. Hoadley, Iain Carmichael, J. S. Marron:
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations. J. Comput. Graph. Stat. 33(2): 736-748 (2024)- [i12]Yi Cui, Yao Li, Jayson R. Miedema, Sharon N. Edmiston, Sherif Farag, J. S. Marron, Nancy E. Thomas:
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images - Nevus & Melanoma. CoRR abs/2405.09851 (2024) - [i11]Stephen M. Pizer, Zhiyuan Liu, Junjie Zhao, Nicholas Tapp-Hughes, James N. Damon, Miaomiao Zhang, J. S. Marron, Jared Vicory:
Interior Object Geometry via Fitted Frames. CoRR abs/2407.14357 (2024) - 2023
- [j44]Yue Pan, T. Landis Justin, Razia Moorad, Di Wu, J. S. Marron, Dirk P. Dittmer:
The Poisson distribution model fits UMI-based single-cell RNA-sequencing data. BMC Bioinform. 24(1): 256 (2023) - [j43]Hyowon An, Kai Zhang, Hannu Oja, J. S. Marron:
Variable screening based on Gaussian Centered L-moments. Comput. Stat. Data Anal. 179: 107632 (2023) - [j42]Xi Yang, Katherine A. Hoadley, Jan Hannig, J. S. Marron:
Jackstraw inference for AJIVE data integration. Comput. Stat. Data Anal. 180: 107649 (2023) - [j41]Zhiyuan Liu, James N. Damon, J. S. Marron, Stephen M. Pizer:
Geometric and Statistical Models for Analysis of Two-Object Complexes. Int. J. Comput. Vis. 131(8): 1877-1891 (2023) - [j40]Pavlos Zoubouloglou, Eduardo García-Portugués, J. S. Marron:
Scaled Torus Principal Component Analysis. J. Comput. Graph. Stat. 32(3): 1024-1035 (2023) - [j39]Zhiyuan Liu, Jörn Schulz, Mohsen Taheri, Martin Styner, James N. Damon, Stephen M. Pizer, J. S. Marron:
Analysis of Joint Shape Variation from Multi-Object Complexes. J. Math. Imaging Vis. 65(3): 542-562 (2023) - [c22]Miray Unlu Yazici, Malik Yousef, J. S. Marron, Burcu Bakir-Gungor:
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis. BIBM 2023: 3234-3240 - 2022
- [j38]Stephen M. Pizer, J. S. Marron, James N. Damon, Jared Vicory, Akash Krishna, Zhiyuan Liu, Mohsen Taheri:
Skeletons, Object Shape, Statistics. Frontiers Comput. Sci. 4 (2022) - [i10]Yi Cui, Yao Li, Jayson R. Miedema, Sherif Farag, J. S. Marron, Nancy E. Thomas:
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images. CoRR abs/2210.16457 (2022) - 2021
- [j37]Andrew G. Allmon, J. S. Marron, Michael G. Hudgens:
diproperm: An R Package for the DiProPerm Test. R J. 13(2): 179 (2021) - [c21]Jared Vicory, Ramraj Chandradevan, Pablo Hernandez-Cerdan, Wei Angel Huang, Dani Fox, Laith Abu Qdais, Matthew McCormick, André Mol, Rick Walter, J. S. Marron, Hassem Geha, Asma Khan, Beatriz Paniagua:
Dental microfracture detection using wavelet features and machine learning. Image Processing 2021 - [i9]Zhiyuan Liu, Jörn Schulz, Mohsen Taheri, Martin Styner, James N. Damon, Stephen M. Pizer, J. S. Marron:
Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes. CoRR abs/2109.02230 (2021) - 2020
- [i8]Andrew G. Allmon, J. S. Marron, Michael G. Hudgens:
diproperm: An R Package for the DiProPerm Test. CoRR abs/2009.00003 (2020)
2010 – 2019
- 2019
- [j36]Hyowon An, T. Landis Justin, G. Bailey Aubrey, James Stephen Marron, Dirk P. Dittmer:
dr4pl: A Stable Convergence Algorithm for the 4 Parameter Logistic Model. R J. 11(2): 171 (2019) - [c20]Pablo Hernandez-Cerdan, Beatriz Paniagua, Jack Prothero, J. S. Marron, Eric Livingston, Ted Bateman, Matthew McCormick:
Methods for quantitative characterization of bone injury from computed-tomography images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095316 - [c19]Jack Prothero, Jean-Baptiste Vimort, Antonio C. Ruellas, J. S. Marron, Matthew McCormick, Pablo Hernandez-Cerdan, Lucia H. S. Cevidanes, Erika Benavides, Beatriz Paniagua:
Advanced statistical analysis to classify high dimensionality textural probability-distribution matrices. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095318 - [i7]Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa A. Troester, Charles M. Perou, Marc Niethammer:
Deep Multi-View Learning via Task-Optimal CCA. CoRR abs/1907.07739 (2019) - 2018
- [j35]Qing Feng, Meilei Jiang, Jan Hannig, J. S. Marron:
Angle-based joint and individual variation explained. J. Multivar. Anal. 166: 241-265 (2018) - [j34]Sean Skwerer, J. Scott Provan, J. S. Marron:
Relative Optimality Conditions and Algorithms for Treespace Fréchet Means. SIAM J. Optim. 28(2): 959-988 (2018) - [c18]Jean-Baptiste Vimort, Antonio C. Ruellas, Jack Prothero, J. S. Marron, Matthew McCormick, Lucia H. S. Cevidanes, Erika Benavides, Beatriz Paniagua:
Detection of bone loss via subchondral bone analysis. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780Q - [c17]Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer:
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology. MICCAI (2) 2018: 254-262 - [i6]Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer:
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology. CoRR abs/1806.05083 (2018) - 2017
- [j33]Qunqun Yu, Benjamin B. Risk, Kai Zhang, J. S. Marron:
JIVE integration of imaging and behavioral data. NeuroImage 152: 38-49 (2017) - [i5]Iain Carmichael, J. S. Marron:
Geometric Insights into Support Vector Machine Behavior using the KKT Conditions. CoRR abs/1704.00767 (2017) - [i4]Mónica Benito, Eduardo García-Portugués, J. S. Marron, Daniel Peña:
Distance weighted discrimination of face images for gender classification. CoRR abs/1706.05029 (2017) - 2016
- [j32]Jörn Schulz, Stephen M. Pizer, J. S. Marron, Fred Godtliebsen:
Non-linear Hypothesis Testing of Geometric Object Properties of Shapes Applied to Hippocampi. J. Math. Imaging Vis. 54(1): 15-34 (2016) - [j31]Dan Shen, Haipeng Shen, J. S. Marron:
A General Framework for Consistency of Principal Component Analysis. J. Mach. Learn. Res. 17: 150:1-150:34 (2016) - [j30]Jun-Pyo Hong, Jared Vicory, Jörn Schulz, Martin Styner, J. S. Marron, Stephen M. Pizer:
Non-Euclidean classification of medically imaged objects via s-reps. Medical Image Anal. 31: 37-45 (2016) - [j29]Patrick K. Kimes, David Neil Hayes, J. S. Marron, Yufeng Liu:
Large-margin classification with multiple decision rules. Stat. Anal. Data Min. 9(2): 89-105 (2016) - 2015
- [j28]Jared Vicory, Heather D. Couture, Nancy E. Thomas, David Borland, J. S. Marron, John T. Woosley, Marc Niethammer:
Appearance normalization of histology slides. Comput. Medical Imaging Graph. 43: 89-98 (2015) - [j27]Lingsong Zhang, Shu Lu, J. S. Marron:
Nested nonnegative cone analysis. Comput. Stat. Data Anal. 88: 100-110 (2015) - [c16]Heather D. Couture, J. S. Marron, Nancy E. Thomas, Charles M. Perou, Marc Niethammer:
Hierarchical task-driven feature learning for tumor histology. ISBI 2015: 999-1003 - [c15]Beatriz Paniagua, Antonio Carlos Ruellas, Erika Benavides, Steve Marron, Larry Wolford, Lucia H. S. Cevidanes:
Validation of CBCT for the computation of textural biomarkers. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171B - 2014
- [j26]James N. Damon, J. S. Marron:
Backwards Principal Component Analysis and Principal Nested Relations. J. Math. Imaging Vis. 50(1-2): 107-114 (2014) - [j25]Sean Skwerer, Elizabeth Bullitt, Stephan Huckemann, Ezra Miller, Ipek Oguz, Megan Owen, Vic Patrangenaru, J. Scott Provan, J. S. Marron:
Tree-Oriented Analysis of Brain Artery Structure. J. Math. Imaging Vis. 50(1-2): 126-143 (2014) - [j24]Petro Borysov, Jan Hannig, J. S. Marron:
Asymptotics of hierarchical clustering for growing dimension. J. Multivar. Anal. 124: 465-479 (2014) - [j23]Nikhil Singh, P. Thomas Fletcher, J. Samuel Preston, Richard D. King, J. S. Marron, Michael W. Weiner, Sarang C. Joshi:
Quantifying anatomical shape variations in neurological disorders. Medical Image Anal. 18(3): 616-633 (2014) - [j22]Yi Hong, Brad Davis, J. S. Marron, Roland Kwitt, Nikhil Singh, Julia S. Kimbell, Elizabeth Pitkin, Richard Superfine, Stephanie Davis, Carlton J. Zdanski, Marc Niethammer:
Statistical atlas construction via weighted functional boxplots. Medical Image Anal. 18(4): 684-698 (2014) - [j21]Jonathan Zhang, Nancy E. Heckman, Davor Cubranic, Joel G. Kingsolver, Travis Gaydos, J. S. Marron:
Prinsimp. R J. 6(2): 27 (2014) - [c14]Nikhil Singh, Heather D. Couture, J. S. Marron, Charles M. Perou, Marc Niethammer:
Topological Descriptors of Histology Images. MLMI 2014: 231-239 - [i3]Patrick K. Kimes, D. Neil Hayes, J. S. Marron, Yufeng Liu:
Large-Margin Classification with Multiple Decision Rules. CoRR abs/1411.5260 (2014) - 2013
- [j20]Addy Bolívar-Cimé, J. S. Marron:
Comparison of binary discrimination methods for high dimension low sample size data. J. Multivar. Anal. 115: 108-121 (2013) - [j19]Dan Shen, Haipeng Shen, J. S. Marron:
Consistency of sparse PCA in High Dimension, Low Sample Size contexts. J. Multivar. Anal. 115: 317-333 (2013) - [c13]Yi Hong, Brad Davis, J. S. Marron, Roland Kwitt, Marc Niethammer:
Weighted Functional Boxplot with Application to Statistical Atlas Construction. MICCAI (3) 2013: 584-591 - [p1]Stephen M. Pizer, Sungkyu Jung, Dibyendusekhar Goswami, Jared Vicory, Xiaojie Zhao, Ritwik Chaudhuri, James N. Damon, Stephan Huckemann, J. S. Marron:
Nested Sphere Statistics of Skeletal Models. Innovations for Shape Analysis, Models and Algorithms 2013: 93-115 - [i2]Lingsong Zhang, J. S. Marron, Shu Lu:
Nested Nonnegative Cone Analysis. CoRR abs/1308.4206 (2013) - 2012
- [j18]Hanwen Huang, Xiaosun Lu, Yufeng Liu, Perry Haaland, J. S. Marron:
R/DWD: distance-weighted discrimination for classification, visualization and batch adjustment. Bioinform. 28(8): 1182-1183 (2012) - [j17]Christopher R. Cabanski, Keary Cavin, Chris Bizon, Matthew D. Wilkerson, Joel S. Parker, Kirk C. Wilhelmsen, Charles M. Perou, J. S. Marron, D. Neil Hayes:
ReQON: a Bioconductor package for recalibrating quality scores from next-generation sequencing data. BMC Bioinform. 13: 221 (2012) - [j16]Sungkyu Jung, Arusharka Sen, J. S. Marron:
Boundary behavior in High Dimension, Low Sample Size asymptotics of PCA. J. Multivar. Anal. 109: 190-203 (2012) - 2010
- [j15]Eric F. Lock, Ryan Ziemiecki, J. S. Marron, Dirk P. Dittmer:
Efficiency clustering for low-density microarrays and its application to QPCR. BMC Bioinform. 11: 386 (2010) - [j14]Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J. S. Marron, Joseph Piven, Heather Cody Hazlett, Stephen M. Pizer, Guido Gerig:
Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination. IEEE Trans. Pattern Anal. Mach. Intell. 32(4): 652-661 (2010) - [c12]Marc Niethammer, David Borland, J. S. Marron, John T. Woosley, Nancy E. Thomas:
Appearance Normalization of Histology Slides. MLMI 2010: 58-66 - [c11]Nikhil Singh, P. Thomas Fletcher, J. Samuel Preston, Linh K. Ha, Richard D. King, James Stephen Marron, Michael Wiener, Sarang C. Joshi:
Multivariate Statistical Analysis of Deformation Momenta Relating Anatomical Shape to Neuropsychological Measures. MICCAI (3) 2010: 529-537 - [c10]J. S. Marron, Sungkyu Jung, Ian L. Dryden:
Speculation on the generality of the backward stepwise view of PCA. Multimedia Information Retrieval 2010: 227-230 - [i1]Cheolwoo Park, Félix Hernández-Campos, J. S. Marron, Kevin Jeffay, F. Donelson Smith:
Analysis of dependence among size, rate and duration in internet flows. CoRR abs/1010.1108 (2010)
2000 – 2009
- 2009
- [c9]Marc Macenko, Marc Niethammer, J. S. Marron, David Borland, John T. Woosley, Xiaojun Guan, Charles Schmitt, Nancy E. Thomas:
A Method for Normalizing Histology Slides for Quantitative Analysis. ISBI 2009: 1107-1110 - 2008
- [c8]Suman K. Sen, Mark Foskey, James Stephen Marron, Martin Andreas Styner:
Support vector machine for data on manifolds: An application to image analysis. ISBI 2008: 1195-1198 - [c7]Ja-Yeon Jeong, Joshua V. Stough, James Stephen Marron, Stephen M. Pizer:
Conditional-mean initialization using neighboring objects in deformable model segmentation. Image Processing 2008: 69144R - 2007
- [j13]Cheolwoo Park, Fred Godtliebsen, Murad S. Taqqu, Stilian Stoev, J. S. Marron:
Visualization and inference based on wavelet coefficients, SiZer and SiNos. Comput. Stat. Data Anal. 51(12): 5994-6012 (2007) - [c6]Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J. S. Marron, Joseph Piven, Heather Cody Hazlett, Stephen M. Pizer, Guido Gerig:
Statistical Shape Analysis of Multi-Object Complexes. CVPR 2007 - [c5]Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J. S. Marron, Joseph Piven, Heather Cody Hazlett, Stephen M. Pizer, Guido Gerig:
Discrimination analysis using multi-object statistics of shape and pose. Image Processing 2007: 65121A - 2006
- [j12]Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, George Michailidis, J. S. Marron:
LASS: a tool for the local analysis of self-similarity. Comput. Stat. Data Anal. 50(9): 2447-2471 (2006) - [c4]Cheolwoo Park, H. Shen, J. S. Marron, Félix Hernández-Campos, Darryl Veitch:
Capturing the Elusive Poissonity in Web Traffic. MASCOTS 2006: 189-196 - 2005
- [j11]Cheolwoo Park, Félix Hernández-Campos, J. S. Marron, F. Donelson Smith:
Long-range dependence in a changing Internet traffic mix. Comput. Networks 48(3): 401-422 (2005) - [j10]Stilian Stoev, Murad S. Taqqu, Cheolwoo Park, J. S. Marron:
On the wavelet spectrum diagnostic for Hurst parameter estimation in the analysis of Internet traffic. Comput. Networks 48(3): 423-445 (2005) - [j9]J. S. Marron, Jin Ting Zhang:
SiZer for smoothing splines. Comput. Stat. 20(3): 481-502 (2005) - 2004
- [j8]Mónica Benito, Joel S. Parker, Quan Du, Junyuan Wu, Dong Xiang, Charles M. Perou, James Stephen Marron:
Adjustment of systematic microarray data biases. Bioinform. 20(1): 105-114 (2004) - [j7]Fred Godtliebsen, James Stephen Marron, Probal Chaudhuri:
Statistical significance of features in digital images. Image Vis. Comput. 22(13): 1093-1104 (2004) - [j6]Félix Hernández-Campos, J. S. Marron, Gennady Samorodnitsky, F. Donelson Smith:
Variable heavy tails in Internet traffic. Perform. Evaluation 58(2-3): 261-284 (2004) - 2002
- [j5]Sarang C. Joshi, Stephen M. Pizer, P. Thomas Fletcher, Paul A. Yushkevich, Andrew Thall, J. S. Marron:
Multi-scale Deformable Model Segmentation and Statistical Shape Analysis Using Medial Descriptions. IEEE Trans. Medical Imaging 21(5): 538-550 (2002) - [c3]J. S. Marron, Félix Hernández-Campos, F. Donelson Smith:
Mice and Elephants Visualization of Internet Traffic. COMPSTAT 2002: 47-54 - [c2]Félix Hernández-Campos, J. S. Marron, F. Donelson Smith, Gennady Samorodnitsky:
Variable Heavy Tailed Durations in Internet Traffic, Part I: Understanding Heavy Tails. MASCOTS 2002: 43- - 2001
- [j4]J. S. Marron, S. S. Chung:
Presentation of smoothers: the family approach. Comput. Stat. 16(1): 195-207 (2001) - [j3]Stephen G. Eick, Todd L. Graves, Alan F. Karr, J. S. Marron, Audris Mockus:
Does Code Decay? Assessing the Evidence from Change Management Data. IEEE Trans. Software Eng. 27(1): 1-12 (2001) - [c1]Paul A. Yushkevich, Stephen M. Pizer, Sarang C. Joshi, J. S. Marron:
Intuitive, Localized Analysis of Shape Variability. IPMI 2001: 402-408 - 2000
- [j2]Todd L. Graves, Alan F. Karr, J. S. Marron, Harvey P. Siy:
Predicting Fault Incidence Using Software Change History. IEEE Trans. Software Eng. 26(7): 653-661 (2000)
1990 – 1999
- 1999
- [j1]J. S. Marron, F. Udina:
Interactive local bandwidth choice. Stat. Comput. 9(2): 101-110 (1999)
Coauthor Index
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