 | 2009 |
|---|
| 99 |       | Ritwik Layek,
Aniruddha Datta,
Ranadip Pal,
Edward R. Dougherty:
Adaptive intervention in probabilistic boolean networks.
Bioinformatics 25(16): 2042-2048 (2009) |
| 98 | | Edward R. Dougherty,
Marcel Brun,
Jeffrey M. Trent,
Michael L. Bittner:
Conditioning-Based Modeling of Contextual Genomic Regulation.
IEEE/ACM Trans. Comput. Biology Bioinform. 6(2): 310-320 (2009) |
| 97 | | Amin Zollanvari,
Ulisses Braga-Neto,
Edward R. Dougherty:
On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers.
Pattern Recognition 42(11): 2705-2723 (2009) |
| 96 | | Jianping Hua,
Waibhav Tembe,
Edward R. Dougherty:
Performance of feature-selection methods in the classification of high-dimension data.
Pattern Recognition 42(3): 409-424 (2009) |
| 2008 |
|---|
| 95 | | Blaise Hanczar,
Edward R. Dougherty:
Classification with reject option in gene expression data.
Bioinformatics 24(17): 1889-1895 (2008) |
| 94 | | Xiaoning Qian,
Edward R. Dougherty:
Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention.
IEEE Transactions on Signal Processing 56(10-1): 4966-4976 (2008) |
| 93 | | Ranadip Pal,
Aniruddha Datta,
Edward R. Dougherty:
Robust Intervention in Probabilistic Boolean Networks.
IEEE Transactions on Signal Processing 56(3): 1280-1294 (2008) |
| 92 | | Lijun Qian,
Haixin Wang,
Edward R. Dougherty:
Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering.
IEEE Transactions on Signal Processing 56(7-2): 3327-3339 (2008) |
| 91 | | Wentao Zhao,
Erchin Serpedin,
Edward R. Dougherty:
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria.
IEEE/ACM Trans. Comput. Biology Bioinform. 5(2): 262-274 (2008) |
| 90 | | Chao Sima,
Edward R. Dougherty:
The peaking phenomenon in the presence of feature-selection.
Pattern Recognition Letters 29(11): 1667-1674 (2008) |
| 2007 |
|---|
| 89 | | Haixin Wang,
Lijun Qian,
Edward R. Dougherty:
Inference of Gene Regulatory Networks using S-System: A Unified Approach.
CIBCB 2007: 82-89 |
| 88 | | Jianping Hua,
David W. Craig,
Marcel Brun,
Jennifer Webster,
Victoria Zismann,
Waibhav Tembe,
Keta Joshipura,
Matthew J. Huentelman,
Edward R. Dougherty,
Dietrich A. Stephan:
SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays.
Bioinformatics 23(1): 57-63 (2007) |
| 87 | | Yufei Xiao,
Edward R. Dougherty:
The impact of function perturbations in Boolean networks.
Bioinformatics 23(10): 1265-1273 (2007) |
| 86 | | Ivan Ivanov,
Ranadip Pal,
Edward R. Dougherty:
Dynamics Preserving Size Reduction Mappings for Probabilistic Boolean Networks.
IEEE Transactions on Signal Processing 55(5-2): 2310-2322 (2007) |
| 85 | | Marcel Brun,
Chao Sima,
Jianping Hua,
James Lowey,
Brent Carroll,
Edward Suh,
Edward R. Dougherty:
Model-based evaluation of clustering validation measures.
Pattern Recognition 40(3): 807-824 (2007) |
| 2006 |
|---|
| 84 | | Jianping Hua,
James Lowey,
Zixiang Xiong,
Edward R. Dougherty:
Noise-injected neural networks show promise for use on small-sample expression data.
BMC Bioinformatics 7: 274 (2006) |
| 83 | | Wentao Zhao,
Erchin Serpedin,
Edward R. Dougherty:
Inferring gene regulatory networks from time series data using the minimum description length principle.
Bioinformatics 22(17): 2129-2135 (2006) |
| 82 | | Chao Sima,
Edward R. Dougherty:
What should be expected from feature selection in small-sample settings.
Bioinformatics 22(19): 2430-2436 (2006) |
| 81 | | Ashish Choudhary,
Aniruddha Datta,
Michael L. Bittner,
Edward R. Dougherty:
Intervention in a family of Boolean networks.
Bioinformatics 22(2): 226-232 (2006) |
| 80 | | Ashish Choudhary,
Marcel Brun,
Jianping Hua,
James Lowey,
Edward Suh,
Edward R. Dougherty:
Genetic test bed for feature selection.
Bioinformatics 22(7): 837-842 (2006) |
| 79 | | Ranadip Pal,
Aniruddha Datta,
Edward R. Dougherty:
Optimal infinite-horizon control for probabilistic Boolean networks.
IEEE Transactions on Signal Processing 54(6-2): 2375-2387 (2006) |
| 78 | | Edward R. Dougherty,
Yufei Xiao:
Design of probabilistic Boolean networks under the requirement of contextual data consistency.
IEEE Transactions on Signal Processing 54(9): 3603-3613 (2006) |
| 77 | | Chao Sima,
Edward R. Dougherty:
Optimal convex error estimators for classification.
Pattern Recognition 39(9): 1763-1780 (2006) |
| 2005 |
|---|
| 76 | | Wenjiang J. Fu,
Edward R. Dougherty,
Bani K. Mallick,
Raymond J. Carroll:
How many samples are needed to build a classifier: a general sequential approach.
Bioinformatics 21(1): 63-70 (2005) |
| 75 | | Ranadip Pal,
Ivan Ivanov,
Aniruddha Datta,
Michael L. Bittner,
Edward R. Dougherty:
Generating Boolean networks with a prescribed attractor structure.
Bioinformatics 21(21): 4021-4025 (2005) |
| 74 | | Chao Sima,
Ulisses Braga-Neto,
Edward R. Dougherty:
Superior feature-set ranking for small samples using bolstered error estimation.
Bioinformatics 21(7): 1046-1054 (2005) |
| 73 | | Ranadip Pal,
Aniruddha Datta,
Michael L. Bittner,
Edward R. Dougherty:
Intervention in context-sensitive probabilistic Boolean networks.
Bioinformatics 21(7): 1211-1218 (2005) |
| 72 | | Jianping Hua,
Zixiang Xiong,
James Lowey,
Edward Suh,
Edward R. Dougherty:
Optimal number of features as a function of sample size for various classification rules.
Bioinformatics 21(8): 1509-1515 (2005) |
| 71 | | Ranadip Pal,
Aniruddha Datta,
Albert J. Fornace,
Michael L. Bittner,
Edward R. Dougherty:
Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS.
Bioinformatics 21(8): 1542-1549 (2005) |
| 70 | | Huan Liu,
Edward R. Dougherty,
Jennifer G. Dy,
Kari Torkkola,
Eugene Tuv,
Hanchuan Peng,
Chris H. Q. Ding,
Fuhui Long,
Michael E. Berens,
Lance Parsons,
Zheng Zhao,
Lei Yu,
George Forman:
Evolving Feature Selection.
IEEE Intelligent Systems 20(6): 64-76 (2005) |
| 69 | | Edward R. Dougherty,
Jianping Hua,
Zixiang Xiong,
Yidong Chen:
Optimal robust classifiers.
Pattern Recognition 38(10): 1520-1532 (2005) |
| 68 | | Ulisses Braga-Neto,
Edward R. Dougherty:
Exact performance of error estimators for discrete classifiers.
Pattern Recognition 38(11): 1799-1814 (2005) |
| 67 | | Edward R. Dougherty:
The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics.
Pattern Recognition 38(12): 2226-2228 (2005) |
| 66 | | Chao Sima,
Sanju Attoor,
Ulisses Braga-Neto,
James Lowey,
Edward Suh,
Edward R. Dougherty:
Impact of error estimation on feature selection.
Pattern Recognition 38(12): 2472-2482 (2005) |
| 65 | | Jianping Hua,
Zixiang Xiong,
Edward R. Dougherty:
Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution.
Pattern Recognition 38(3): 403-421 (2005) |
| 64 | | Tailen Hsing,
Li-Yu Liu,
Marcel Brun,
Edward R. Dougherty:
The coefficient of intrinsic dependence (feature selection using el CID).
Pattern Recognition 38(5): 623-636 (2005) |
| 63 | | Paulo J. S. Silva,
Ronaldo Fumio Hashimoto,
Seungchan Kim,
Junior Barrera,
Leônidas O. Brandão,
Edward Suh,
Edward R. Dougherty:
Feature selection algorithms to find strong genes.
Pattern Recognition Letters 26(10): 1444-1453 (2005) |
| 62 | | Marcel Brun,
Edward R. Dougherty,
Ilya Shmulevich:
Steady-state probabilities for attractors in probabilistic Boolean networks.
Signal Processing 85(10): 1993-2013 (2005) |
| 2004 |
|---|
| 61 | | Sanju Attoor,
Edward R. Dougherty,
Yidong Chen,
Michael L. Bittner,
Jeffrey M. Trent:
Which is better for cDNA-microarray-based classification: ratios or direct intensities.
Bioinformatics 20(16): 2513-2520 (2004) |
| 60 | | Xiaobo Zhou,
Xiaodong Wang,
Ranadip Pal,
Ivan Ivanov,
Michael L. Bittner,
Edward R. Dougherty:
A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks.
Bioinformatics 20(17): 2918-2927 (2004) |
| 59 | | Ulisses Braga-Neto,
Ronaldo Fumio Hashimoto,
Edward R. Dougherty,
Danh V. Nguyen,
Raymond J. Carroll:
Is cross-validation better than resubstitution for ranking genes?
Bioinformatics 20(2): 253-258 (2004) |
| 58 | | Ulisses Braga-Neto,
Edward R. Dougherty:
Is cross-validation valid for small-sample microarray classification?
Bioinformatics 20(3): 374-380 (2004) |
| 57 | | Aniruddha Datta,
Ashish Choudhary,
Michael L. Bittner,
Edward R. Dougherty:
External control in Markovian genetic regulatory networks: the imperfect information case.
Bioinformatics 20(6): 924-930 (2004) |
| 56 | | Ronaldo Fumio Hashimoto,
Seungchan Kim,
Ilya Shmulevich,
Wei Zhang,
Michael L. Bittner,
Edward R. Dougherty:
Growing genetic regulatory networks from seed genes.
Bioinformatics 20(8): 1241-1247 (2004) |
| 55 | | Xiaobo Zhou,
Xiaodong Wang,
Edward R. Dougherty,
Daniel Russ,
Edward Suh:
Gene Clustering Based on Clusterwide Mutual Information.
Journal of Computational Biology 11(1): 147-161 (2004) |
| 54 | | Edward R. Dougherty,
Marcel Brun:
A probabilistic theory of clustering.
Pattern Recognition 37(5): 917-925 (2004) |
| 53 | | Ulisses Braga-Neto,
Edward R. Dougherty:
Bolstered error estimation.
Pattern Recognition 37(6): 1267-1281 (2004) |
| 52 | | Sanju Attoor,
Edward R. Dougherty:
Classifier performance as a function of distributional complexity.
Pattern Recognition 37(8): 1641-1651 (2004) |
| 2003 |
|---|
| 51 |  | Kyeong Eun Lee,
Naijun Sha,
Edward R. Dougherty,
Marina Vannucci,
Bani K. Mallick:
Gene selection: a Bayesian variable selection approach.
Bioinformatics 19(1): 90-97 (2003) |
| 50 | | Xiaobo Zhou,
Xiaodong Wang,
Edward R. Dougherty:
Missing-value estimation using linear and non-linear regression with Bayesian gene selection.
Bioinformatics 19(17): 2302-2307 (2003) |
| 49 | | Marcel Brun,
David Sabbagh,
Seungchan Kim,
Edward R. Dougherty:
Corrected Small-sample Estimation of the Bayes Error.
Bioinformatics 19(8): 944-951 (2003) |
| 48 | | J. McKenzie,
Stephen Marshall,
Alison J. Gray,
Edward R. Dougherty:
Morphological Texture Analysis Using the Texture Evolution Function.
IJPRAI 17(2): 167-186 (2003) |
| 47 | | Tailen Hsing,
Sanju Attoor,
Edward R. Dougherty:
Relation Between Permutation-Test P Values and Classifier Error Estimates.
Machine Learning 52(1-2): 11-30 (2003) |
| 46 | | Aniruddha Datta,
Ashish Choudhary,
Michael L. Bittner,
Edward R. Dougherty:
External Control in Markovian Genetic Regulatory Networks.
Machine Learning 52(1-2): 169-191 (2003) |
| 45 | | Yoganand Balagurunathan,
Edward R. Dougherty:
Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements.
Pattern Recognition Letters 24(1-3): 283-293 (2003) |
| 44 | | Marcel Brun,
Edward R. Dougherty,
Roberto Hirata Jr.,
Junior Barrera:
Design of optimal binary filters under joint multiresolution-envelope constraint.
Pattern Recognition Letters 24(7): 937-945 (2003) |
| 43 | | Jaakko Astola,
Edward R. Dougherty,
Ilya Shmulevich,
Ioan Tabus:
Genomic signal processing.
Signal Processing 83(4): 691-694 (2003) |
| 42 | | Ronaldo Fumio Hashimoto,
Edward R. Dougherty,
Marcel Brun,
Zheng-Zheng Zhou,
Michael L. Bittner,
Jeffrey M. Trent:
Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations.
Signal Processing 83(4): 695-712 (2003) |
| 41 | | Xiaobo Zhou,
Xiaodong Wang,
Edward R. Dougherty:
Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design.
Signal Processing 83(4): 745-761 (2003) |
| 40 | | Edward R. Dougherty,
Ilya Shmulevich:
Mappings between probabilistic Boolean networks.
Signal Processing 83(4): 799-809 (2003) |
| 39 | | Alan C. Green,
Stephen Marshall,
David Greenhalgh,
Edward R. Dougherty:
Design of multi-mask aperture filters.
Signal Processing 83(9): 1961-1971 (2003) |
| 2002 |
|---|
| 38 | | Ilya Shmulevich,
Edward R. Dougherty,
Wei Zhang:
ayesian automatic relevance determination algorithms for classifying gene expression data.
Bioinformatics 18(10): 1332-1339 (2002) |
| 37 | | Ilya Shmulevich,
Edward R. Dougherty,
Seungchan Kim,
Wei Zhang:
Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks.
Bioinformatics 18(2): 261-274 (2002) |
| 36 | | Yidong Chen,
Vishnu Kamat,
Edward R. Dougherty,
Michael L. Bittner,
Paul S. Meltzer,
Jeffrey M. Trent:
Ratio statistics of gene expression levels and applications to microarray data analysis.
Bioinformatics 18(9): 1207-1215 (2002) |
| 35 | | Edward R. Dougherty,
Junior Barrera,
Marcel Brun,
Seungchan Kim,
Roberto Marcondes Cesar Junior,
Yidong Chen,
Michael L. Bittner,
Jeffrey M. Trent:
Inference from Clustering with Application to Gene-Expression Microarrays.
Journal of Computational Biology 9(1): 105-126 (2002) |
| 34 | | Seungchan Kim,
Edward R. Dougherty,
Junior Barrera,
Yidong Chen,
Michael L. Bittner,
Jeffrey M. Trent:
Strong Feature Sets from Small Samples.
Journal of Computational Biology 9(1): 127-146 (2002) |
| 33 | | Yoganand Balagurunathan,
Edward R. Dougherty:
Optimal linear granulometric estimation for random sets.
Pattern Recognition 35(6): 1315-1325 (2002) |
| 32 | | Artyom M. Grigoryan,
Galen Hostetter,
Olli-P. Kallioniemi,
Edward R. Dougherty:
Simulation Toolbox for 3D-FISH Spot-Counting Algorithms.
Real-Time Imaging 8(3): 203-212 (2002) |
| 2001 |
|---|
| 31 | | Marcel Brun,
Roberto Hirata Jr.,
Junior Barrera,
Edward R. Dougherty:
Hybrid Human-Machine Non-Linear Filter Design Using Envelopes.
SIBGRAPI 2001: 106-111 |
| 30 | | Edward R. Dougherty:
Optimal Conjunctive Granulometric Bandpass Filters.
Journal of Mathematical Imaging and Vision 14(1): 39-51 (2001) |
| 29 | | Edward R. Dougherty,
Junior Barrera,
Gerard Mozelle,
Seungchan Kim,
Marcel Brun:
Multiresolution Analysis for Optimal Binary Filters.
Journal of Mathematical Imaging and Vision 14(1): 53-72 (2001) |
| 28 | | Nipon Theera-Umpon,
Edward R. Dougherty,
Paul D. Gader:
Non-homothetic granulometric mixing theory with application to blood cell counting.
Pattern Recognition 34(12): 2547-2560 (2001) |
| 27 | | Sinan Batman,
Edward R. Dougherty:
Morphological granulometric estimation of random patterns in the context of parameterized random sets.
Pattern Recognition 34(6): 1207-1217 (2001) |
| 26 | | Krishnamoorthy Sivakumar,
Yoganand Balagurunathan,
Edward R. Dougherty:
Asymptotic joint normality of the granulometric moments.
Pattern Recognition Letters 22(14): 1537-1543 (2001) |
| 25 | | Artyom M. Grigoryan,
Edward R. Dougherty:
Bayesian robust optimal linear filters.
Signal Processing 81(12): 2503-2521 (2001) |
| 24 | | Edward R. Dougherty,
Yidong Chen:
Robust optimal granulometric bandpass filters.
Signal Processing 81(7): 1357-1372 (2001) |
| 2000 |
|---|
| 23 | | Sinan Batman,
Edward R. Dougherty,
Francis Sand:
Heterogeneous morphological granulometries.
Pattern Recognition 33(6): 1047-1057 (2000) |
| 22 | | Nina S. T. Hirata,
Edward R. Dougherty,
Junior Barrera:
A switching algorithm for design of optimal increasing binary filters over large windows.
Pattern Recognition 33(6): 1059-1081 (2000) |
| 21 | | Krishnamoorthy Sivakumar,
M. J. Patel,
Nasser D. Kehtarnavaz,
Yoganand Balagurunathan,
Edward R. Dougherty:
A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation.
Real-Time Imaging 6(3): 223-239 (2000) |
| 20 | | Edward R. Dougherty,
Seungchan Kim,
Yidong Chen:
Coefficient of determination in nonlinear signal processing.
Signal Processing 80(10): 2219-2235 (2000) |
| 19 | | Roberto Hirata Jr.,
Edward R. Dougherty,
Junior Barrera:
Aperture filters.
Signal Processing 80(4): 697-721 (2000) |
| 18 | | Junior Barrera,
Edward R. Dougherty,
Marcel Brun:
Hybrid human-machine binary morphological operator design. An independent constraint approach.
Signal Processing 80(8): 1469-1487 (2000) |
| 1999 |
|---|
| 17 | | Edward R. Dougherty,
Michael L. Bittner,
Yidong Chen,
Seungchan Kim,
Krishnamoorthy Sivakumar,
Junior Barrera,
Paul S. Meltzer,
Jeffrey M. Trent:
Nonlinear filters in genomic control.
NSIP 1999: 10-14 |
| 16 | | Edward R. Dougherty:
The Granulometric Size Density in Filter Optimization.
SIBGRAPI 1999: 257-264 |
| 15 | | Nina S. T. Hirata,
Junior Barrera,
Edward R. Dougherty:
Design of Statistically Optimal Stack Filters.
SIBGRAPI 1999: 265-274 |
| 14 | | John C. Handley,
Edward R. Dougherty:
Maximum-likelihood estimation and optimal filtering in the nondirectional, one-dimensional binomial germ-grain model.
Pattern Recognition 32(9): 1529-1541 (1999) |
| 13 | | Francis Sand,
Edward R. Dougherty:
Robustness of granulometric moments.
Pattern Recognition 32(9): 1657-1665 (1999) |
| 1998 |
|---|
| 12 | | S. Baeg,
A. T. Popov,
V. G. Kamat,
Sinan Batman,
Krishnamoorthy Sivakumar,
Nasser D. Kehtarnavaz,
Edward R. Dougherty,
R. B. Shah:
Segmentation of Mammograms into Distinct Morphological Texture Regions.
CBMS 1998: 20-25 |
| 11 | | Francis Sand,
Edward R. Dougherty:
Asymptotic granulometric mixing theorem: Morphological estimation of sizing parameters and mixture proportions.
Pattern Recognition 31(1): 53-61 (1998) |
| 1997 |
|---|
| 10 | | John C. Handley,
Edward R. Dougherty:
Maximum-Likelihood Estimation for the Two-Dimensional Discrete Boolean Random Set and Function Models Using Multidimensional Linear Samples.
CVGIP: Graphical Model and Image Processing 59(4): 221-231 (1997) |
| 9 | | Robert P. Loce,
Edward R. Dougherty,
Ronald Jodoin,
Michael S. Cianciosi:
Logically Efficient Spatial Resolution Conversion Using Paired Increasing Operators.
Real-Time Imaging 3(1): 7-16 (1997) |
| 1996 |
|---|
| 8 | | Edward R. Dougherty,
Yidong Chen,
Amir Waks:
Bayesian morphological peak estimation and its application to chromosome counting via fluorescence In situ hybridization.
Pattern Recognition 29(6): 987-996 (1996) |
| 1995 |
|---|
| 7 | | Edward R. Dougherty,
Yingchong Cheng:
Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries.
Pattern Recognition 28(1): 81-98 (1995) |
| 6 | | Edward R. Dougherty,
Divyendu Sinha:
Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part 1: Architecture.
Real-Time Imaging 1(1): 69-85 (1995) |
| 5 | | Edward R. Dougherty,
Divyendu Sinha:
Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part II: Image Operators.
Real-Time Imaging 1(4): 283-295 (1995) |
| 1994 |
|---|
| 4 | | Edward R. Dougherty:
Minimal representation of -openings via pattern bases.
Pattern Recognition Letters 15(10): 1029-1033 (1994) |
| 1992 |
|---|
| 3 | | Edward R. Dougherty,
Robert P. Loce:
Robust Morphologically Continuous Fourier Descriptors I: Projection-Generated Descriptors.
IJPRAI 6(5): 873-892 (1992) |
| 2 | | Edward R. Dougherty,
Robert P. Loce:
Robust Morphologically Continuous Fourier Descriptors II: Continuity and Occlusion Analysis.
IJPRAI 6(5): 893-911 (1992) |
| 1 | | Edward R. Dougherty,
John T. Newell,
Jeff B. Pelz:
Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments.
Pattern Recognition 25(10): 1181-1198 (1992) |
