Edward R. Dougherty

发表

External Control in Markovian Genetic Regulatory Networks

Aniruddha Datta, Ashish Choudhury, Michael L. Bittner, 2004, Machine Learning.

Design of gray-scale nonlinear filters via multiresolution apertures

Edward R. Dougherty, Roberto Eirata, Junior Barrera, 2000, 2000 10th European Signal Processing Conference.

Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering

Edward R. Dougherty, Lijun Qian, Haixin Wang, 2008, IEEE Transactions on Signal Processing.

Optimal Bayesian Classification When the Training Observations are Serially Dependent

Edward R. Dougherty, Amin Zollanvari, 2018, 2018 New York Scientific Data Summit (NYSDS).

Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations

Michael L. Bittner, Edward R. Dougherty, Ronaldo Fumio Hashimoto, 2003, Signal Process..

Optimal Intervention in Markovian Gene Regulatory Networks With Random-Length Therapeutic Response to Antitumor Drug

Aniruddha Datta, Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2013, IEEE Transactions on Biomedical Engineering.

Modeling temporal morphological systems via lattice dynamical systems

Edward R. Dougherty, Junior Barrera, Marco Dimas Gubitoso, 2001, IS&T/SPIE Electronic Imaging.

Identifying Genes Involved in Cyclic Processes by Combining Gene Expression Analysis and Prior Knowledge

Edward R. Dougherty, Erchin Serpedin, Wentao Zhao, 2009, EURASIP J. Bioinform. Syst. Biol..

A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks

Xiaobo Zhou, Xiaodong Wang, Michael L. Bittner, 2004, Bioinform..

Phenotypically constrained Boolean network inference with prescribed steady states

Edward R. Dougherty, Xiaoning Qian, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Robust Morphologically Continuous Fourier Descriptors II: Continuity and Occlusion Analysis

Edward R. Dougherty, Robert P. Loce, 1992, Int. J. Pattern Recognit. Artif. Intell..

Design and application of binary differencing filters

Edward R. Dougherty, Robert P. Loce, E. Dougherty, 1995, Electronic Imaging.

Intervention in Gene Regulatory Networks via a Stationary Mean-First-Passage-Time Control Policy

Aniruddha Datta, Edward R. Dougherty, Golnaz Vahedi, 2008, IEEE Transactions on Biomedical Engineering.

New training method for linear separable threshold Boolean filters

Jaakko Astola, Edward R. Dougherty, Octavian Valeriu Sarca, 1997, Optics & Photonics.

Fuzzy Intervention in Biological Phenomena

Hazem N. Nounou, Mohamed N. Nounou, Aniruddha Datta, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention

Edward R. Dougherty, Xiaoning Qian, E. Dougherty, 2008, IEEE Transactions on Signal Processing.

On the Comparison of Classifiers for Microarray Data

Blaise Hanczar, Edward R. Dougherty, E. Dougherty, 2010 .

Translational Science under Uncertainty

Edward R. Dougherty, 2016 .

Two-stage binary filters

Jaakko Astola, Edward R. Dougherty, Octavian V. Sarca, 1999, J. Electronic Imaging.

Feature selection: We've barely scratched the surface

Huan Liu, Hanchuan Peng, Fuhui Long, 2005 .

Heterogeneous morphological granulometries

Edward R. Dougherty, Sinan Batman, Francis Sand, 2000, Pattern Recognit..

Optimal reconstructive τ-openings for disjoint and statistically modeled nondisjoint grains

Edward R. Dougherty, Clara Cuciurean-Zapan, 1997, Signal Process..

The effect of microarray image compression on expression-based classification

Zixiang Xiong, Michael L. Bittner, Edward R. Dougherty, 2009, Signal Image Video Process..

Image processing : continuous to discrete

Edward R. Dougherty, Charles R. Giardina, E. Dougherty, 1987 .

Fuzzy morphological algorithms

Edward R. Dougherty, 1994, Other Conferences.

Multiscale Denoising of Biological Data: A Comparative Analysis

Hazem N. Nounou, Mohamed N. Nounou, Aniruddha Datta, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Performance of Error Estimators for Classification

Blaise Hanczar, Edward R. Dougherty, Ulisses Braga-Neto, 2010 .

Model-based Experimentation in Biology

Michael L. Bittner, Edward R. Dougherty, 2011 .

Nonlinear Image Processing III: 12-13 February 1992 San Jose, California

Jaakko Astola, Edward R. Dougherty, Charles G. Boncelet, 1992 .

Spatial Resolution Conversion Using Paired Increasing Operators

Edward R. Dougherty, Robert P. Loce, 1997 .

Clustering granulometric features

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2002, IS&T/SPIE Electronic Imaging.

Segmentation of mammograms into distinct morphological texture regions

Nasser Kehtarnavaz, Edward R. Dougherty, Krishnamoorthy Sivakumar, 1998, Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237).

Filtering by morphological pseudoconvolutions

Edward R. Dougherty, Eugene J. Kraus, 1990, Other Conferences.

Clustering algorithms do not learn, but they can be learned

Edward R. Dougherty, Marcel Brun, 2005, SPIE Optics + Photonics.

Statistical and Stochastic Methods for Image Processing

Francoise J. Preteux, Edward R. Dougherty, Jennifer L. Davidson, 1996 .

Optimal Bayesian Kalman Filtering With Prior Update

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2018, IEEE Transactions on Signal Processing.

Robust Intervention in Probabilistic Boolean Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2007, ACC.

Inference of a Probabilistic Boolean Network from a Single Observed Temporal Sequence

Le Yu, Stephen Marshall, Edward R. Dougherty, 2007, EURASIP J. Bioinform. Syst. Biol..

Nonlinear Filter Design Using Envelopes

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2004, Journal of Mathematical Imaging and Vision.

Automatic counting of illuminated spheres in a random Boolean model

Edward R. Dougherty, Artyom M. Grigoryan, 2002, IS&T/SPIE Electronic Imaging.

Impact of error estimation on feature selection

Ulisses Braga-Neto, Edward R. Dougherty, Chao Sima, 2005, Pattern Recognit..

RMS bounds and sample size considerations for error estimation in linear discriminant analysis

Ulisses Braga-Neto, Edward R. Dougherty, Amin Zollanvari, 2010, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design

Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty, 2003, Signal Process..

A comparison study of optimal and suboptimal intervention policies for gene regulatory networks in the presence of uncertainty

Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2014, EURASIP J. Bioinform. Syst. Biol..

Granulometric Size Density for Segmented Random-Disk Models

Edward R. Dougherty, 2004, Journal of Mathematical Imaging and Vision.

Computationally efficient experimental design strategy for reducing gene network uncertainty

Edward R. Dougherty, Byung-Jun Yoon, Roozbeh Dehghannasiri, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Neural, Morphological, and Stochastic Methods in Image and Signal Processing

Francoise J. Preteux, Edward R. Dougherty, Sylvia S. Shen, 1995 .

Maximum-Likelihood Estimation for the Two-Dimensional Discrete Boolean Random Set and Function Models Using Multidimensional Linear Samples

John C. Handley, Edward R. Dougherty, 1997, CVGIP Graph. Model. Image Process..

Adaptive Parameterized Openings

Edward R. Dougherty, Yidong Chen, 1994, ISMM.

Signal Processing in Genomics [From The Guest Editors]

Edward R. Dougherty, Xiaodong Wang, Gustavo A. Stolovitzky, 2007 .

Mathematical methods for artificial intelligence and autonomous systems

Edward R. Dougherty, Charles R. Giardina, 1988 .

Multiresolution Analysis for Optimal Binary Filters

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2001, Journal of Mathematical Imaging and Vision.

Texture classification by gray-scale morphological granulometries

Edward R. Dougherty, Yidong Chen, E. Dougherty, 1992, Other Conferences.

Review of stochastic hybrid systems with applications in biological systems modeling and analysis

Edward R. Dougherty, Lijun Qian, Xiangfang Li, 2017, EURASIP J. Bioinform. Syst. Biol..

Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error—Part I: Representation

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2012, IEEE Transactions on Signal Processing.

Probabilistic Boolean Networks - The Modeling and Control of Gene Regulatory Networks

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2010 .

Hands-on Morphological Image Processing

Edward R. Dougherty, Roberto de Alencar Lotufo, E. Dougherty, 2003 .

Nonlinear Image Processing IX

Jaakko Astola, Edward R. Dougherty, E. Dougherty, 1999 .

On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers

Ulisses Braga-Neto, Edward R. Dougherty, Amin Zollanvari, 2009, Pattern Recognit..

The impact of function perturbations in Boolean networks

Edward R. Dougherty, Yufei Xiao, E. Dougherty, 2007, Bioinform..

Characterization of gray-scale morphological granulometries

Edward R. Dougherty, E. Dougherty, 1990, Optics & Photonics.

Unification of nonlinear filtering in the context of binary logical calculus, part II: Gray-scale filters

Edward R. Dougherty, 2004, Journal of Mathematical Imaging and Vision.

Fuzzy adaptive Voronoi-diagram-based clustering of textured images

Antony T. Popov, Edward R. Dougherty, 1998, Optics & Photonics.

Optimal mean-square-error calibration of classifier error estimators under Bayesian models

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2012, Pattern Recognit..

Optimal mean-absolute-error filtering of gray-scale signals by the morphological hit-or-miss transform

Edward R. Dougherty, E. Dougherty, 1994, Journal of Mathematical Imaging and Vision.

Nonlinear filtering and pattern recognition: Are they the same?

Edward R. Dougherty, Junior Barrera, 2001, IS&T/SPIE Electronic Imaging.

Noise-model-based morphological shape recognition

Edward R. Dougherty, Dongming Zhao, E. Dougherty, 1992, Defense, Security, and Sensing.

Analytical study of performance of linear discriminant analysis in stochastic settings

Edward R. Dougherty, Amin Zollanvari, Jianping Hua, 2013, Pattern Recognit..

State reduction for network intervention in probabilistic Boolean networks

Edward R. Dougherty, Xiaoning Qian, Ivan Ivanov, 2010, Bioinform..

Efficient design of minmax ODIF robust stack filters

Sari Peltonen, Jaakko Astola, Bogdan Dumitrescu, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

Optimal restoration using the morphological hit-or-miss transform

Edward R. Dougherty, Robert P. Loce, E. Dougherty, 1992, Optics & Photonics.

Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Modeling mass protest adoption in social network communities using geometric brownian motion

Naren Ramakrishnan, Edward R. Dougherty, Fang Jin, 2014, KDD.

Multivariate morphological granulometric texture classification using Walsh and wavelet features

Edward R. Dougherty, Sinan Batman, Joseph O. Chapa, 1995, Defense, Security, and Sensing.

Bayesian optimal control of Markovian genetic regulatory networks

Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Maximum-likelihood estimation in the discrete random Boolean model

John C. Handley, Edward R. Dougherty, 1994, Electronic Imaging.

Normalization Benefits Microarray-Based Classification

Zixiang Xiong, Michael L. Bittner, Edward R. Dougherty, 2006, EURASIP J. Bioinform. Syst. Biol..

A Bayesian framework for robust Kalman filtering under uncertain noise statistics

Edward R. Dougherty, Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Facilitation of optimal binary morphological filter design via structuring element libraries and design constraints

Edward R. Dougherty, Robert P. Loce, E. Dougherty, 1992 .

Gene Clustering Based on Clusterwide Mutual Information

Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty, 2004, J. Comput. Biol..

Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements

Edward R. Dougherty, Yoganand Balagurunathan, 2003, Pattern Recognit. Lett..

From the Sup-Decomposition to A Sequential Decomposition

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2000, ISMM.

Granulometric classifiers from small samples

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2002, IS&T/SPIE Electronic Imaging.

Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2013, IEEE Transactions on Signal Processing.

Genetic Regulatory Networks: A Nonlinear Signal Processing Perspective

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2003 .

Design of statistically optimal morphological operators

Edward R. Dougherty, Junior Barrera, 2000, 2000 10th European Signal Processing Conference.

CAN MARKOV CHAIN MODELS MIMIC BIOLOGICAL REGULATION

Edward R. Dougherty, Seungchan Kim, Huai Li, 2002 .

Performance of feature-selection methods in the classification of high-dimension data

Edward R. Dougherty, Waibhav Tembe, Jianping Hua, 2009, Pattern Recognit..

Small Sample Issues for Microarray-Based Classification

Edward R. Dougherty, E. Dougherty, 2001, Comparative and functional genomics.

Solution of morphological operator relations with invariance boundary conditions

Edward R. Dougherty, 1993, Optics & Photonics.

Design and Analysis of Robust Binary Filters in the Context of a Prior Distribution for the States of Nature

Edward R. Dougherty, Artyom M. Grigoryan, 2004, Journal of Mathematical Imaging and Vision.

Optimal dynamics uncertainty reduction in gene networks in the presence of experimental error

Edward R. Dougherty, Roozbeh Dehghannasiri, Daniel N. Mohsenizadeh, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Multivariate granulometric filters

Edward R. Dougherty, Sinan Batman, 1997, Electronic Imaging.

Hybrid human-machine non-linear filter design using envelopes

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2001, Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing.

Minimal search for the optimal mean-square digital gray-scale morphological filter

Edward R. Dougherty, 1990, Other Conferences.

Genomic Signal Processing (Princeton Series in Applied Mathematics)

Edward R. Dougherty, Ilya Shmulevich, 2007 .

Recovering Genetic Regulatory Networks from Chromatin Immunoprecipitation and Steady-State Microarray Data

Edward R. Dougherty, Erchin Serpedin, Wentao Zhao, 2008, EURASIP J. Bioinform. Syst. Biol..

3. Inference of Model Structure

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2010 .

Misinformation Propagation in the Age of Twitter

Chang-Tien Lu, Naren Ramakrishnan, Yang Cao, 2014, Computer.

Logical structural filters

Edward R. Dougherty, Yidong Chen, 1998 .

Heterogeneous granulometries

Edward R. Dougherty, Francis M. Sand, 1993, Optics & Photonics.

Inference of Boolean Networks Using Sensitivity Regularization

Edward R. Dougherty, Wenbin Liu, Ilya Shmulevich, 2008, EURASIP J. Bioinform. Syst. Biol..

Bayesian Kalman filtering in the presence of unknown noise statistics using factor graphs

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Quantifying the notions of canalizing and master genes in a gene regulatory network—a Boolean network modeling perspective

Edward R. Dougherty, Ivan Ivanov, Eunji Kim, 2018, Bioinform..

Grand challenges for multimodal bio-medical systems

Jie Chen, Edward R. Dougherty, S. S. Demir, 2005 .

Performance of linear discriminant analysis in stochastic settings

Edward R. Dougherty, Amin Zollanvari, Jianping Hua, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Additional file 1 of Optimal clustering with missing values

Edward R. Dougherty, Shahin Boluki, Siamak Zamani Dadaneh, 2019 .

Clustering analysis for gene expression data

Michael L. Bittner, Edward R. Dougherty, Sinan Batman, 1999, Photonics West - Biomedical Optics.

Parallel computation for coefficients of determination in the context of multivariate gene-expression analysis

Michael L. Bittner, Edward R. Dougherty, Yidong Chen, 2004 .

Uncertainty-based essentiality in gene regulatory networks

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Optimal granulometric-induced filters

Edward R. Dougherty, 1994, Optics & Photonics.

Ratio statistics of gene expression levels and applications to microarray data analysis

Michael L. Bittner, Edward R. Dougherty, Jeffrey M. Trent, 2002, Bioinform..

Design Issues and Comparison of Methods for Microarray-Based Classification

Edward R. Dougherty, Sanju N. Attoor, 2003 .

Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood

Edward R. Dougherty, Amin Zollanvari, Byung-Jun Yoon, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Nonlinear image processing

Edward R. Dougherty, Gonzalo R. Arce, Charles G. Boncelet, 1991 .

Automated analysis of multivariate nonlinear gene relations based on cDNA microarray expression data

Michael L. Bittner, Edward R. Dougherty, Krishnamoorthy Sivakumar, 2000, Photonics West - Biomedical Optics.

Robust optimal granulometric bandpass filters

Edward R. Dougherty, Yidong Chen, 2001, Signal Process..

The coefficient of intrinsic dependence (feature selection using el CID)

Edward R. Dougherty, Marcel Brun, Li-Yu Liu, 2005, Pattern Recognit..

The use of first-order structuring-element libraries to design morphological filters

Edward R. Dougherty, Robert P. Loce, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

Efficient Design Strategies for the Optimal Binary Digital Morphological Filter: Probabilities, Constraints, and Structuring-Element Libraries

Edward R. Dougherty, Robert P. Loce, E. Dougherty, 2018, Mathematical Morphology in Image Processing.

Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network

Edward R. Dougherty, Byung-Jun Yoon, Junjie Su, 2010, BMC Bioinformatics.

Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part II: Image Operators

Edward R. Dougherty, Divyendu Sinha, E. Dougherty, 1995, Real Time Imaging.

Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria

Edward R. Dougherty, Erchin Serpedin, Wentao Zhao, 2008, IEEE ACM Trans. Comput. Biol. Bioinform..

Validation of gene regulatory network inference based on controllability

Edward R. Dougherty, Xiaoning Qian, 2013, Front. Genet..

Introduction to Real-Time Imaging

Edward R. Dougherty, Phillip A. Laplante, E. Dougherty, 1995 .

Random processes for image and signal processing

Edward R. Dougherty, E. Dougherty, 1998, SPIE / IEEE series on imaging science and engineering.

Optimal binary differencing filters: design, logic complexity, precision analysis, and application to digital document processing

Edward R. Dougherty, Robert P. Loce, E. Dougherty, 1996, J. Electronic Imaging.

Fuzzy Mathematical Morphology Based on Fuzzy Inclusion

Antony T. Popov, Edward R. Dougherty, E. Dougherty, 2000 .

Cross-validation under separate sampling: strong bias and how to correct it

Edward R. Dougherty, Amin Zollanvari, Ulisses Braga-Neto, 2014, Bioinform..

Closed-form representation of convolution, dilation, and erosion in the context of image algebra

Edward R. Dougherty, Charles R. Giardina, E. Dougherty, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

5. External Control

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2010 .

Genomic signal processing: diagnosis and therapy

Aniruddha Datta, Edward R. Dougherty, E. Dougherty, 2005, IEEE Signal Process. Mag..

Bayesian Regression With Network Prior: Optimal Bayesian Filtering Perspective

Edward R. Dougherty, Xiaoning Qian, E. Dougherty, 2016, IEEE Transactions on Signal Processing.

Identifying drosophila cell-cycle regulated genes from irregular microarray data

Edward R. Dougherty, Erchin Serpedin, Wentao Zhao, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Adaptive multiparameter openings

Edward R. Dougherty, Yidong Chen, 1995, Electronic Imaging.

Optimal nonlinear fax restoration

John C. Handley, Edward R. Dougherty, 1994, Electronic Imaging.

Pattern Recognition Theory in Nonlinear Signal Processing

Edward R. Dougherty, Junior Barrera, E. Dougherty, 2002, Journal of Mathematical Imaging and Vision.

Morphological granulometric estimation of random patterns in the context of parameterized random sets

Edward R. Dougherty, Sinan Batman, 2001, Pattern Recognit..

Optimal Bayesian Transfer Learning

Edward R. Dougherty, Xiaoning Qian, Alireza Karbalayghareh, 2018, IEEE Transactions on Signal Processing.

An objective-based experimental design framework for signal processing in the context of canonical expansions

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Evaluating Dynamic Effects of Copy Number Alterations on Gene Expression Using a Single Transcription Model

Edward R. Dougherty, Erchin Serpedin, Yidong Chen, 2012, IEEE Transactions on Biomedical Engineering.

Modeling and systematic analysis of biomarker validation using selected reaction monitoring

Edward R. Dougherty, Ulisses Braga-Neto, Esmaeil Atashpaz-Gargari, 2014, EURASIP J. Bioinform. Syst. Biol..

Identifying genes associated with chemotherapy response in ovarian carcinomas based on DNA copy number and expression profiles

Edward R. Dougherty, Erchin Serpedin, Yidong Chen, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Discrete optimal Bayesian classification with error-conditioned sequential sampling

Edward R. Dougherty, Byung-Jun Yoon, Mohammad Shahrokh Esfahani, 2015, Pattern Recognit..

The granulometric size density in filter optimization

Edward R. Dougherty, 1999, XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481).

Optimal Bayesian Classification With Missing Values

Edward R. Dougherty, Xiaoning Qian, Siamak Zamani Dadaneh, 2018, IEEE Transactions on Signal Processing.

Iterative design of morphological binary image operators

Edward R. Dougherty, Junior Barrera, Nina S. T. Hirata, 2000 .

Introduction to Computer-Based Imaging Systems

Edward R. Dougherty, Divyendu Sinha, 1997 .

Optimal convex error estimators for classification

Edward R. Dougherty, Chao Sima, E. Dougherty, 2006, Pattern Recognit..

From Boolean to probabilistic Boolean networks as models of genetic regulatory networks

Edward R. Dougherty, Wei Zhang, Ilya Shmulevich, 2002, Proc. IEEE.

Optimal Intervention Strategies for Therapeutic Methods With Fixed-Length Duration of Drug Effectiveness

Aniruddha Datta, Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2012, IEEE Transactions on Signal Processing.

Evaluating Gene Set Enrichment Analysis Via a Hybrid Data Model

Michael L. Bittner, Edward R. Dougherty, Jianping Hua, 2014, Cancer informatics.

Spatial-scaling-compatible morphological granulometries on locally convex topological vector spaces

Edward R. Dougherty, Henk J. A. M. Heijmans, Eugene J. Kraus, 1992, Optics & Photonics.

Nonstationary linear discriminant analysis

Edward R. Dougherty, Mahdi Imani, Ulisses Braga-Neto, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Chapter Four. Classification

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2007 .

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2017, BMC Bioinformatics.

Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments

Jeff B. Pelz, Edward R. Dougherty, John T. Newell, 1992, Pattern Recognit..

Shape detection via fuzzy morphology

Edward R. Dougherty, Purnendu Sinha, Divyendu Sinha, 1993, Electronic Imaging.

Optimal mean-square N-observation digital morphological filters : II. Optimal gray-scale filters

Edward R. Dougherty, E. Dougherty, 1992, CVGIP Image Underst..

Image restoration by multiresolution nonlinear filters

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2001, IS&T/SPIE Electronic Imaging.

Experiment Design Frameworks for Accelerated Discovery of Targeted Materials Across Scales

Dimitris C. Lagoudas, Edward R. Dougherty, Shahin Boluki, 2019, Front. Mater..

Quantification of the Impact of Feature Selection on the Variance of Cross-Validation Error Estimation

Edward R. Dougherty, Jianping Hua, Yufei Xiao, 2007, EURASIP J. Bioinform. Syst. Biol..

Optimal infinite horizon control for probabilistic Boolean networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2006, 2006 American Control Conference.

Unsupervised morphological granulometric texture segmentation of digital mammograms

Nasser Kehtarnavaz, Edward R. Dougherty, Krishnamoorthy Sivakumar, 1999, J. Electronic Imaging.

Computational morphology and representation of operators between complete lattices

Edward R. Dougherty, Clara Cuciurean-Zapan, 1993, Other Conferences.

Asymptotic distributions for morphological granulometric moments

Edward R. Dougherty, Francis M. Sand, 1992, Optics & Photonics.

Intervention in Biological Phenomena Modeled by S-Systems

Hazem N. Nounou, Mohamed N. Nounou, Aniruddha Datta, 2011, IEEE Transactions on Biomedical Engineering.

Design of multi-mask aperture filters

Stephen Marshall, Edward R. Dougherty, David Greenhalgh, 2003, Signal Process..

Enhancement and Restoration of Digital Documents: Statistical Design of Nonlinear Algorithms

Edward R. Dougherty, Robert P. Loce, E. Dougherty, 1997 .

Robustness of granulometric moments

Edward R. Dougherty, Francis Sand, E. Dougherty, 1999, Pattern Recognit..

Optimal filters from prior filters

Edward R. Dougherty, Junior Barrera, Nina Sumiko Tomita, 1997, Electronic Imaging.

Computational representation of increasing lattice-valued image operators

Edward R. Dougherty, Divyendu Sinha, 1995, Optics + Photonics.

Optimal Bayesian Classification With Vector Autoregressive Data Dependency

Edward R. Dougherty, Amin Zollanvari, E. Dougherty, 2019, IEEE Transactions on Signal Processing.

Dynamical modeling of drug effect using hybrid systems

Edward R. Dougherty, Lijun Qian, Xiangfang Li, 2012, EURASIP J. Bioinform. Syst. Biol..

Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries

Edward R. Dougherty, Yingchong Cheng, E. Dougherty, 1995, Pattern Recognit..

Quantification of data extraction noise in probabilistic Boolean Network modeling

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Optimal Conjunctive Granulometric Bandpass Filters

Edward R. Dougherty, 2004, Journal of Mathematical Imaging and Vision.

Probabilistic Boolean Networks as Models for Gene Regulation

Yufei Huang, Edward R. Dougherty, 2008 .

Existence and synthesis of minimal-basis morphological solutions for a restoration-based boundary-value problem

Edward R. Dougherty, E. Dougherty, 1996, Journal of Mathematical Imaging and Vision.

Fast run-length-based algorithm for one-dimensional flat opening

Edward R. Dougherty, Seungchan Kim, Sinan Batman, 1998, Optics & Photonics.

Design of binary filters by sequential basis expansion

Edward R. Dougherty, Marion Jeanne, Stephen W. Marshall, 2001, IS&T/SPIE Electronic Imaging.

Maximum-likelihood estimation and optimal filtering in the nondirectional, one-dimensional binomial germ-grain model

John C. Handley, Edward R. Dougherty, 1999, Pattern Recognit..

Genetic Regulatory Networks

Tatsuya Akutsu, Paul Dan Cristea, Edward R. Dougherty, 2007, EURASIP J. Bioinform. Syst. Biol..

Automatic design of morphological operators

Edward R. Dougherty, E. Dougherty, 2004, J. Electronic Imaging.

Drug effect study on proliferation and survival pathways on cell line-based platform: A stochastic hybrid systems approach

Michael L. Bittner, Edward R. Dougherty, Lijun Qian, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Editorial (January 1998)

Edward R. Dougherty, 1998 .

Asymptotic normality of the morphological pattern-spectrum moments and orthogonal granulometric generators

Edward R. Dougherty, Francis Sand, E. Dougherty, 1992, J. Vis. Commun. Image Represent..

Morphological image segmentation by local granulometric size distributions

Jeff B. Pelz, Edward R. Dougherty, Francis Sand, 1992, J. Electronic Imaging.

Characterization of fuzzy Minkowski algebra

Edward R. Dougherty, Divyendu Sinha, 1992, Optics & Photonics.

Validation of gene regulatory networks: scientific and inferential

Edward R. Dougherty, E. Dougherty, 2011, Briefings Bioinform..

Behavior of adaptive digital erosions

Edward R. Dougherty, Yidong Chen, Clara Cuciurean-Zapan, 1996, Optics & Photonics.

Optimal experimental design in the context of canonical expansions

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2017, IET Signal Process..

Texture-region coding based on Boolean random sets

John C. Handley, Edward R. Dougherty, Yidong Chen, 1995, Other Conferences.

Matrix Structured Image Processing

Edward R. Dougherty, Charles R. Giardina, E. Dougherty, 1987 .

Morphological texture-based classification of abnormalities in mammograms

Nasser Kehtarnavaz, Edward R. Dougherty, Sooncheol Baeg, 1999, Medical Imaging.

Role of shape in morphological bases for digital moving-average filters

Edward R. Dougherty, Eugene J. Kraus, 1990, Optics & Photonics.

Probability distributions for discrete one-dimensional coverage processes

John C. Handley, Edward R. Dougherty, 1999, Signal Process..

Optimal and Adaptive Design of Reconstructive Granulometric Filters

Edward R. Dougherty, Yidong Chen, 1996, ISMM.

Estimation of random model parameters via linear systems with granulometric inputs

Edward R. Dougherty, Yoganand Balagurunathan, 2000, SPIE Optics + Photonics.

Recursive maximum-likelihood estimation in the one-dimensional discrete Boolean random set model

John C. Handley, Edward R. Dougherty, 1995, Signal Process..

Optimal binary filters with linearly separable preprocessing

Edward R. Dougherty, Jaakko Astola, Octavian Valeriu Sarca, 1998, Electronic Imaging.

Maximum-likelihood estimation for the two-dimensional discrete Boolean model using cross-windowed observations

John C. Handley, Edward R. Dougherty, 1996, Electronic Imaging.

Genomic Signal Processing [Life Sciences]

Edward R. Dougherty, E. Dougherty, 2012, IEEE Signal Process. Mag..

Statistics of the morphological pattern-spectrum moments for a random-grain model

Edward R. Dougherty, Francis Sand, E. Dougherty, 1992, Journal of Mathematical Imaging and Vision.

Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations

Michael L. Bittner, Edward R. Dougherty, Yidong Chen, 2006 .

Hole-spectrum representation and model-based optimal morphological restoration of binary images degraded by subtractive noise

Robert M. Haralick, Edward R. Dougherty, R. Haralick, 1992, Journal of Mathematical Imaging and Vision.

Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part II: Linear Classification of Gaussian Models

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2011, IEEE Transactions on Signal Processing.

Selection Policy-Induced Reduction Mappings for Boolean Networks

Edward R. Dougherty, Xiaoning Qian, Plamen Simeonov, 2010, IEEE Transactions on Signal Processing.

An introduction to morphological image processing

Edward R. Dougherty, E. Dougherty, 1992 .

Which is better for cDNA-microarray-based classification: ratios or direct intensities

Michael L. Bittner, Edward R. Dougherty, Jeffrey M. Trent, 2004, Bioinform..

Conditioning-Based Modeling of Contextual Genomic Regulation

Michael L. Bittner, Edward R. Dougherty, Marcel Brun, 2009, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Analysis and control of genetic regulatory systems with switched drug inputs

Edward R. Dougherty, Lijun Qian, Fen Wu, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Design of large-window binary filters via iteration

Edward R. Dougherty, Junior Barrera, Nina S. T. Hirata, 1998, Other Conferences.

Classification and Error Estimation

Edward R. Dougherty, Lori A. Dalton, 2020 .

Intervention in Probabilistic Gene Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2006 .

Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model

Edward R. Dougherty, Amin Zollanvari, E. Dougherty, 2013, Pattern Recognit..

Optimal experimental design in canonical expansions with applications to signal compression

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations

Edward R. Dougherty, Lijun Qian, Haixin Wang, 2009, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Quantifying the Multi-Objective Cost of Uncertainty pdf

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2020, IEEE Access.

Optimal clustering with missing values

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2018, BMC Bioinformatics.

Optimal openings for overlapping signal and noise grains

Edward R. Dougherty, Clara Cuciurean-Zapan, 1994, Optics & Photonics.

Nonlinear Image Processing V

Jaakko Astola, Edward R. Dougherty, Harold G. Longbotham, 1994 .

Case studies of morphological top-hat optimization

Edward R. Dougherty, Dongming Zhao, E. Dougherty, 1994, Electronic Imaging.

Optimal clustering with missing values

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2018, BMC Bioinformatics.

Bolstered error estimator with feature selection

Edward R. Dougherty, Ulisses Braga-Neto, Chao Sima, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Control-compatible state reduction for Boolean networks

Edward R. Dougherty, Xiaoning Qian, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Inference of Gene Regulatory Networks using S-System: A Unified Approach

Edward R. Dougherty, Lijun Qian, Haixin Wang, 2007 .

Image Processing Language. Phase 1

Edward R. Dougherty, Charles R. Giardina, 1988 .

Optimal experimental design for materials discovery

Edward R. Dougherty, Mohammadmahdi R. Yousefi, Roozbeh Dehghannasiri, 2017 .

Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty

Edward R. Dougherty, Roozbeh Dehghannasiri, Mahdi Imani, 2018, Cancer informatics.

Superior feature-set ranking for small samples using bolstered error estimation

Edward R. Dougherty, Ulisses Braga-Neto, Chao Sima, 2005, Bioinform..

Simulator for gene expression networks

Edward R. Dougherty, Junior Barrera, Marco Dimas Gubitoso, 2001, SPIE BiOS.

Mathematical Morphology in Image Processing

Edward R. Dougherty, E. Dougherty, 1992 .

Optimal classifiers with minimum expected error within a Bayesian framework - Part I: Discrete and Gaussian models

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2013, Pattern Recognit..

Chapter Three. Stochastic Models of Gene Networks

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2007 .

Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes

Edward R. Dougherty, Amin Zollanvari, Ulisses Braga-Neto, 2009, BMC Bioinformatics.

Steady-State Analysis of Genetic Regulatory Networks Modelled by Probabilistic Boolean Networks

Edward R. Dougherty, Ilya Shmulevich, Wei Zhang, 2003, Comparative and functional genomics.

Classifier error estimator performance in a Bayesian context

Edward R. Dougherty, Lori A. Dalton, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Sample size calculation from specified RMS of the resubstitution error for linear classifiers

Ulisses Braga-Neto, Edward R. Dougherty, Amin Zollanvari, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

EPISTEMOLOGY OF COMPUTATIONAL BIOLOGY: MATHEMATICAL MODELS AND EXPERIMENTAL PREDICTION AS THE BASIS OF THEIR VALIDITY

Edward R. Dougherty, Ulisses M. Braga-Neto, E. Dougherty, 2006 .

Representation of gray-scale windowed operators

Edward R. Dougherty, Junior Barrera, 1998 .

Boolean Kalman filter and smoother under model uncertainty

Edward R. Dougherty, Mahdi Imani, Ulisses Braga-Neto, 2020, Autom..

Optimal morphological hit-or-miss filtering of gray-level images

Edward R. Dougherty, E. Dougherty, 1993, Electronic Imaging.

Systems biology Advance Access publication December 30, 2010 Cancer therapy design based on pathway logic

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2022 .

Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks

Edward R. Dougherty, Byung-Jun Yoon, Roozbeh Dehghannasiri, 2015, BMC Bioinformatics.

Nonlinear Image Processing VI

Aggelos K. Katsaggelos, Jaakko Astola, Edward R. Dougherty, 1995 .

Bayesian iterative binary filter design

Edward R. Dougherty, Vishnu G. Kamat, E. Dougherty, 2001, IS&T/SPIE Electronic Imaging.

Binary texture estimation using linear samples

John C. Handley, Edward R. Dougherty, 1995, Electronic Imaging.

Optimal clustering under uncertainty

Edward R. Dougherty, Marco E. Benalcázar, Lori A. Dalton, 2018, PloS one.

Electronic Imaging Technology

Edward R. Dougherty, E. Dougherty, 1999 .

Optimal Binary Morphological Bandpass Filters Induced by Granulometric Spectral Representation

Edward R. Dougherty, E. Dougherty, 1997, Journal of Mathematical Imaging and Vision.

Representation of Linear Granulometric Moments for Deterministic and Random Binary Euclidean Images

Edward R. Dougherty, Francis Sand, E. Dougherty, 1995, J. Vis. Commun. Image Represent..

External Intervention Based on Optimal Control Theory

Aniruddha Datta, Edward R. Dougherty, 2006 .

OPTIMAL STATISTICAL CLASSIFICATION

Edward R. Dougherty, Lori A. Dalton, 2020 .

Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations

Edward R. Dougherty, Amin Zollanvari, E. Dougherty, 2016, EURASIP J. Bioinform. Syst. Biol..

Design of probabilistic Boolean networks under the requirement of contextual data consistency

Edward R. Dougherty, Yufei Xiao, 2006, IEEE Transactions on Signal Processing.

Design and analysis of fuzzy morphological algorithms for image processing

Edward R. Dougherty, Purnendu Sinha, Sinan Batman, 1997, IEEE Trans. Fuzzy Syst..

Conditioning-based model for the regulatory activities of microRNAs in specific dietary contexts

Edward R. Dougherty, Chen Zhao, Ivan Ivanov, 2010, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Linear granulometric moments of noisy binary images

Edward R. Dougherty, Bruno Bettoli, E. Dougherty, 1993, Journal of Mathematical Imaging and Vision.

Prior information in the design of optimal binary filters

Edward R. Dougherty, Junior Barrera, 1998 .

An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Utilization of Gene/Protein Signaling Pathways in Discrete Phenotype Classification

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Bayes clustering operators for known random labeled point processes

Edward R. Dougherty, Marcel Brun, Lori A. Dalton, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Steady-state probabilities for attractors in probabilistic Boolean networks

Edward R. Dougherty, Marcel Brun, Ilya Shmulevich, 2005, Signal Process..

Optimal Bayesian Risk-based Multi-class Classification

Edward R. Dougherty, Lori A. Dalton, 2020 .

Application of the Hausdorff metric in gray-scale mathematical morphology via truncated umbrae

Edward R. Dougherty, 1991, J. Vis. Commun. Image Represent..

Optimal Bayesian classification and its application to gene regulatory networks

Edward R. Dougherty, Lori A. Dalton, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty

Edward R. Dougherty, Byung-Jun Yoon, Mohammad Shahrokh Esfahani, 2011, BMC Bioinformatics.

Restoration by Increasing Binary Filters

Edward R. Dougherty, Robert P. Loce, 1997 .

Morphological Texture Analysis Using the Texture Evolution Function

Stephen Marshall, Edward R. Dougherty, Alison J. Gray, 2003, Int. J. Pattern Recognit. Artif. Intell..

Granulometric estimation of shape parameters

Edward R. Dougherty, Sinan Batman, E. Dougherty, 1995, Optics + Photonics.

Asymptotic joint normality of the granulometric moments

Edward R. Dougherty, Yoganand Balagurunathan, Krishnamoorthy Sivakumar, 2001, Pattern Recognit. Lett..

Stochastic modeling of dynamic effects of copy number alterations upon gene expression levels

Edward R. Dougherty, Erchin Serpedin, Yidong Chen, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

A Lattice-Based Minimal Gray-Scale Switching Algorithm for Obtaining the Optimal Increasing Filter from the Optimal Filter

Edward R. Dougherty, 2004, Journal of Mathematical Imaging and Vision.

Machine Learning Requires Probability and Statistics [Perspectives]

Edward R. Dougherty, Ulisses M. Braga-Neto, E. Dougherty, 2020, IEEE Signal Process. Mag..

Pathway analysis in the context of Bayesian networks - mathematical modeling of master and canalizing genes

Michael L. Bittner, Edward R. Dougherty, Chen Zhao, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty

Edward R. Dougherty, Byung-Jun Yoon, Roozbeh Dehghannasiri, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Morphological measurement of surface roughness

Edward R. Dougherty, Yoganand Balagurunathan, 1998, Other Conferences.

How many samples are needed to build a classifier: a general sequential approach

Edward R. Dougherty, Bani K. Mallick, Wenjiang J. Fu, 2005, Bioinform..

Optimal nonlinear filter in the random Boolean model

John C. Handley, Edward R. Dougherty, 1995, Electronic Imaging.

Experimental Design via Generalized Mean Objective Cost of Uncertainty

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2018, IEEE Access.

Robust openings in the context of a prior distribution governing the parameters of the random set model

Edward R. Dougherty, Yidong Chen, 1999, Optics & Photonics.

Strong Feature Sets from Small Samples

Michael L. Bittner, Edward R. Dougherty, Junior Barrera, 2002, J. Comput. Biol..

Model-based algorithm for designing suboptimal morphological filters for restoring subtractive-noise-corrupted images

Robert M. Haralick, Edward R. Dougherty, Ian R. Joughin, 1993, J. Electronic Imaging.

Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings

Blaise Hanczar, Edward R. Dougherty, Jianping Hua, 2007, EURASIP J. Bioinform. Syst. Biol..

Critical Boolean networks require minimal intervention rate

Edward R. Dougherty, Wenbin Liu, Ilya Shmulevich, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Intrinsically fuzzy approach to mathematical morphology

Edward R. Dougherty, Divyendu Sinha, 1992, Other Conferences.

Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory

Edward R. Dougherty, Junior Barrera, Nina Sumiko Tomita Hirata, 1997, J. Electronic Imaging.

Objective Uncertainty Quantification

Edward R. Dougherty, Roozbeh Dehghannasiri, Lori A. Dalton, 2019, Simulation Foundations, Methods and Applications.

On the impovesrishment of scientific education

Edward R. Dougherty, E. Dougherty, 2013, EURASIP journal on bioinformatics & systems biology.

Morphological granulometric simulation: distribution of the pattern-spectrum mean and variance for binary images with overlapping elements

Edward R. Dougherty, Francis M. Sand, E. Dougherty, 1992, Defense, Security, and Sensing.

Characterization of the Effectiveness of Reporting Lists of Small Feature Sets Relative to the Accuracy of the Prior Biological Knowledge

Michael L. Bittner, Edward R. Dougherty, Chen Zhao, 2010, Cancer informatics.

Robust Intervention in Probabilistic Boolean Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2007, 2007 American Control Conference.

Parameter estimation of biological phenomena modeled by S-systems: An Extended Kalman filter approach

Hazem N. Nounou, Mohamed N. Nounou, Aniruddha Datta, 2011, IEEE Conference on Decision and Control and European Control Conference.

Enhancement of Digital Documents

Edward R. Dougherty, Robert P. Loce, 1999 .

Stationary and structural control in gene regulatory networks: basic concepts

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2010, Int. J. Syst. Sci..

Exact correlation between actual and estimated errors in discrete classification

Ulisses Braga-Neto, Edward R. Dougherty, E. Dougherty, 2010, Pattern Recognit. Lett..

The reliability of estimated confidence intervals for classification error rates when only a single sample is available

Blaise Hanczar, Edward R. Dougherty, E. Dougherty, 2013, Pattern Recognit..

Robust Smoothing for State-Space Models with Unknown Noise Statistics

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Hole spectrum: model-based optimization of morphological filters

Robert M. Haralick, Edward R. Dougherty, 1991, Optics & Photonics.

Chapter Two. Deterministic Models of Gene Networks

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2007 .

Optimal Bayesian Error Estimation

Edward R. Dougherty, Lori A. Dalton, 2020 .

Output-feedback model predictive control of biological phenomena modeled by S-systems

Hazem N. Nounou, Mohamed N. Nounou, Aniruddha Datta, 2012, 2012 American Control Conference (ACC).

Bayesian multiresolution filter design

Edward R. Dougherty, Junior Barrera, Vishnu G. Kamat, 2000, Electronic Imaging.

Rapid analysis of gene copy numbers in cancer by FISH and automated spot counting from stacked confocal images

Edward R. Dougherty, Artyom M. Grigoryan, Lukas Bubendorf, 2000, BiOS.

Estimating Conditional Probabilities for the Detection of Unfavorable Copy Number Alterations in a Targeted Therapy

Edward R. Dougherty, Erchin Serpedin, Yidong Chen, 2013, IEEE Transactions on Biomedical Engineering.

THE EFFECT OF POPULATION CONTEXTS ON CLASSIFIER PERFORMANCE

Michael L. Bittner, Edward R. Dougherty, Ashish Choudhary, 2008 .

Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2005, Bioinform..

Granulometric estimation of distorted shapes

Edward R. Dougherty, Sinan Batman, E. Dougherty, 1996, Electronic Imaging.

An experimental design framework for Markovian gene regulatory networks under stationary control policy

Edward R. Dougherty, Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, 2018, BMC Systems Biology.

Robust Intervention in Probabilistic

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2008 .

Parametric design of nonlinear optimal filters

Edward R. Dougherty, 2000, 2000 10th European Signal Processing Conference.

2. Structure and Dynamics of Probabilistic Boolean Networks

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2010 .

Optimization techniques for real-time image processing

Edward R. Dougherty, Phillip A. Laplante, 1995, Electronic Imaging.

Microarray Image Analysis and Gene Expression Ratio Statistics

Michael L. Bittner, Edward R. Dougherty, Yidong Chen, 2006 .

A robust image processing language in the context of image algebra

Edward R. Dougherty, P. Sehdev, Paramjit S. Sehdev, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

Application of morphological pseudoconvolutions to scanning-tunneling and atomic force microscopy

Edward R. Dougherty, Howard A. Mizes, R. J. Dwayne Miller, 1991, Optics & Photonics.

Filtering clutter by optimal granulometric bandpass filters

Edward R. Dougherty, E. Dougherty, 1995, Defense, Security, and Sensing.

A CoD based reduction algorithm for Boolean and probabilistic Boolean networks

Edward R. Dougherty, Ivan Ivanov, Noushin Ghaffari, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Statistical morphology

Edward R. Dougherty, Tapas Kanungo, Robert M. Haralick, 1993, Optics & Photonics.

Multiresolution filter design

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2000, Electronic Imaging.

Classifier performance as a function of distributional complexity

Edward R. Dougherty, Sanju Attoor, E. Dougherty, 2004, Pattern Recognit..

Preface

Edward R. Dougherty, Jean Paul Frédéric Serra, 1992, J. Vis. Commun. Image Represent..

Optimal mean-square N-observation digital morphological filters : I. Optimal binary filters

Edward R. Dougherty, E. Dougherty, 1992, CVGIP Image Underst..

Is There Correlation Between the Estimated and True Classification Errors in Small-Sample Settings?

Blaise Hanczar, Edward R. Dougherty, B. Jianping Hua, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

Coefficient of determination in nonlinear signal processing

Edward R. Dougherty, Yidong Chen, Seungchan Kim, 2000, Signal Process..

Gene selection: a Bayesian variable selection approach

Marina Vannucci, Edward R. Dougherty, Bani K. Mallick, 2003, Bioinform..

Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes

Edward R. Dougherty, Marcel Brun, Marco E. Benalcázar, 2015, IEEE Transactions on Signal Processing.

Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data—A Model-Based Study

Edward R. Dougherty, Ulisses Braga-Neto, Youting Sun, 2010, EURASIP J. Bioinform. Syst. Biol..

Design of statistically optimal stack filters

Edward R. Dougherty, Junior Barrera, Nina Sumiko Tomita Hirata, 1999, XII Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00481).

Sample-based prior probability construction using biological pathway knowledge

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Nonlinear Image Processing Algorithms

Edward R. Dougherty, Phillip A. Laplante, 1994 .

Unification of nonlinear filtering in the context of binary logical calculus, part I: Binary filters

Robert M. Haralick, Edward R. Dougherty, 2004, Journal of Mathematical Imaging and Vision.

Error Estimation for Pattern Recognition

Edward R. Dougherty, U Braga Neto, 2015 .

Morphological filter mean-absolute-error theorem

Edward R. Dougherty, Robert P. Loce, 1992, Electronic Imaging.

Optimal cancer therapy based on a tumor growth inhibition model

Aniruddha Datta, Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Which Is Better: Holdout or Full-Sample Classifier Design?

Qian Xu, Edward R. Dougherty, Marcel Brun, 2007, EURASIP J. Bioinform. Syst. Biol..

Adaptive design of logical structure filters

Edward R. Dougherty, Yidong Chen, 1998, Optics & Photonics.

A probabilistic theory of clustering

Edward R. Dougherty, Marcel Brun, E. Dougherty, 2004, Pattern Recognit..

A comparative study on sensitivities of Boolean networks

Edward R. Dougherty, Xiaoning Qian, 2010, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Missing-value estimation using linear and non-linear regression with Bayesian gene selection

Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty, 2003, Bioinform..

Segmentation-free morphological character recognition

Edward R. Dougherty, Eugene J. Kraus, E. Dougherty, 1994, Electronic Imaging.

Inference of Nonlinear ODE-Based Gene Regulatory Networks via Intrinsically Bayesian Robust Kalman Filtering

Edward R. Dougherty, Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, 2016, BCB.

Intrinsically Bayesian Robust Classifier for Single-Cell Gene Expression Time Series in Gene Regulatory Networks

Edward R. Dougherty, Ulisses Braga-Neto, Alireza Karbalayghareh, 2017, BCB.

Image Processing: Algorithms and Systems II

Jaakko Astola, Jaakko Astola, Karen O. Egiazarian, 2003 .

An experimental design to reduce dynamics uncertainty in genomic networks

Edward R. Dougherty, Roozbeh Dehghannasiri, Daniel N. Mohsenizadeh, 2015, BCB.

Mean-absolute-error theorem for computational morphology

Edward R. Dougherty, Robert P. Loce, 1993, Optics & Photonics.

Modeling and Control in Cancer Genomics

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2007 .

Projection-generated Fourier descriptors that are robust with respect to both random point noise and occlusion

Edward R. Dougherty, Robert P. Loce, 1990, Optics & Photonics.

Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error—Part II: Consistency and Performance Analysis

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2012, IEEE Transactions on Signal Processing.

Morphological Segmentation - Watershed

Edward R. Dougherty, Roberto de Alencar Lotufo, 2003 .

Markovian Analysis of Adaptive Reconstructive Multiparameter τ-Openings

Edward R. Dougherty, Yidong Chen, 2004, Journal of Mathematical Imaging and Vision.

Mathematical Nonlinear Image Processing

Jaakko Astola, Edward R. Dougherty, 1993, Springer US.

Attractor estimation and model refinement for stochastic regulatory network models

Edward R. Dougherty, Jason M. Knight, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Intervention in a family of Boolean networks

Aniruddha Datta, Ashish Choudhury, Michael L. Bittner, 2006, Bioinform..

Feature selection algorithms to find strong genes

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2005, Pattern Recognit. Lett..

Basic Hardware Architecture

Edward R. Dougherty, Phillip A. Laplante, 1994 .

Error Propagation Methods

Edward R. Dougherty, Robert P. Loce, 1997 .

MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification

Edward R. Dougherty, Ivan Ivanov, Jason M. Knight, 2014, BMC Bioinformatics.

Image Algebra - Induced Operators And Induced Subalgebras

Edward R. Dougherty, Charles R. Giardina, 1987, Other Conferences.

Probability and Statistics for the Engineering, Computing and Physical Sciences

Edward R. Dougherty, E. Dougherty, 1990 .

2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSiPS 2009, Minneapolis, MN, USA, May 17-21, 2009

Ganapati Panda, Aniruddha Datta, Edward R. Dougherty, 2009, GENSiPS.

Is cross-validation better than resubstitution for ranking genes?

Edward R. Dougherty, Ulisses Braga-Neto, Ronaldo Fumio Hashimoto, 2004, Bioinform..

Effect of mixing probabilities on the bias of cross-validation under separate sampling

Edward R. Dougherty, Amin Zollanvari, Ulisses Braga-Neto, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Detecting Periodic Genes from Irregularly Sampled Gene Expressions: A Comparison Study

Edward R. Dougherty, Erchin Serpedin, Wentao Zhao, 2008, EURASIP J. Bioinform. Syst. Biol..

Editorial (April 1996)

Edward R. Dougherty, 1996 .

Guest Editorial

Jaakko Astola, Edward R. Dougherty, 2004, Journal of Mathematical Imaging and Vision.

Digital Image Processing Methods

Edward R. Dougherty, E. Dougherty, 1994 .

Optimal Intervention in Asynchronous Genetic Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Golnaz Vahedi, 2008, IEEE Journal of Selected Topics in Signal Processing.

Optimal morphological restoration: The morphological filter mean-absolute-error theorem

Edward R. Dougherty, Robert P. Loce, E. Dougherty, 1992, J. Vis. Commun. Image Represent..

Epistemology of the Cell: A Systems Perspective on Biological Knowledge

Michael L. Bittner, Edward R. Dougherty, E. Dougherty, 2011 .

Intrinsically Multivariate Predictive Genes

David Correa Martins, Michael L. Bittner, Edward R. Dougherty, 2008, IEEE Journal of Selected Topics in Signal Processing.

Detecting Multivariate Gene Interactions in RNA-Seq Data Using Optimal Bayesian Classification

Edward R. Dougherty, Robert S. Chapkin, Ivan Ivanov, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

The Model-Based Study of the Effectiveness of Reporting Lists of Small Feature Sets Using RNA-Seq Data

Edward R. Dougherty, Ivan Ivanov, Jianping Hua, 2016, BCB.

6. Asynchronous Networks

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2010 .

Proceedings of IEEE International Workshop on Genomic Signal Processing and Statistics

Stephen Marshall, Edward R. Dougherty, Yufei Xiao, 2006 .

Pixel Classification By Morphologically Derived Texture Features

Jeff B. Pelz, Edward R. Dougherty, 1989, Other Conferences.

Optimal morphological peak classification

Edward R. Dougherty, Yidong Chen, E. Dougherty, 1995, Optics + Photonics.

Editorial

Edward R. Dougherty, Yidong Chen, Xiaodong Wang, 2004, EURASIP J. Adv. Signal Process..

Comparative analysis of discrete and continuous Boolean models

John C. Handley, Edward R. Dougherty, 1997, Optics & Photonics.

Optimal range-domain window filters

Edward R. Dougherty, Junior Barrera, Roberto Hirata, 1999, Electronic Imaging.

Optimal Bayesian Transfer Regression

Edward R. Dougherty, Xiaoning Qian, Alireza Karbalayghareh, 2018, IEEE Signal Processing Letters.

Bayesian MMSE estimation of classification error and performance on real genomic data

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2010, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Bagging degrades the performance of linear discriminant classifiers

Edward R. Dougherty, Ulisses Braga-Neto, Thang T. Vu, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Nonlinear Image Processing VIII

Jaakko Astola, Edward R. Dougherty, 1992 .

Multiple reaction monitoring: Modeling and systematic analysis

Edward R. Dougherty, Ulisses Braga-Neto, Esmaeil Atashpaz-Gargari, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Adaptive intervention in Probabilistic Boolean Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2009, 2009 American Control Conference.

Morphological paradigm for loss-function-based design of digital filters

Edward R. Dougherty, Junior Barrera, 1996, Defense + Commercial Sensing.

Precision of morphological estimation

Edward R. Dougherty, Robert P. Loce, 1993, Electronic Imaging.

Genomic Signal Processing

Jaakko Astola, Ioan Tabus, Edward R. Dougherty, 2003, IEEE Signal Processing Magazine.

Optimal linear granulometric estimation for random sets

Edward R. Dougherty, Yoganand Balagurunathan, 2002, Pattern Recognit..

Bolstered error estimation

Ulisses Braga-Neto, Edward R. Dougherty, E. Dougherty, 2004, Pattern Recognit..

Corrected Small-sample Estimation of the Bayes Error

Edward R. Dougherty, Marcel Brun, Seungchan Kim, 2003, Bioinform..

Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part 1: Architecture

Edward R. Dougherty, Divyendu Sinha, E. Dougherty, 1995, Real Time Imaging.

Quantifying the notion of a canalizing gene in a gene regulatory network

Edward R. Dougherty, Ivan Ivanov, Eunji Kim, 2018 .

Reconstruction of Genetic Regulatory Networks Based on the Posterior Probabilities of Gene Regulations

Edward R. Dougherty, Erchin Serpedin, Wentao Zhao, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Selection Policy-Induced Reduction Mappings for

Edward R. Dougherty, Plamen Simeonov, Ivan Ivanov, 2010 .

Distribution of the pattern spectrum mean for convex base images

Edward R. Dougherty, Francis M. Sand, 1991, Electronic Imaging.

Asymptotic granulometric mixing theorem: Morphological estimation of sizing parameters and mixture proportions

Edward R. Dougherty, Francis Sand, E. Dougherty, 1998, Pattern Recognit..

Optimal restoration of compressed biomedical images: a discrete lattice theoretic approach

Edward R. Dougherty, Claudio H. Sibata, Vivek Swarnakar, 1996, Medical Imaging.

Small-sample estimation of the error of the optimal binary filter

Edward R. Dougherty, David L. Sabbagh, 2000, 2000 10th European Signal Processing Conference.

Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Modeling the next generation sequencing sample processing pipeline for the purposes of classification

Edward R. Dougherty, Mohammadmahdi R. Yousefi, Ivan Ivanov, 2013, BMC Bioinformatics.

BPDA - A Bayesian peptide detection algorithm for mass spectrometry

Edward R. Dougherty, Ulisses Braga-Neto, Jianqiu Zhang, 2010, BMC Bioinformatics.

Detection of osteoporosis by morphological granulometries

Edward R. Dougherty, Yidong Chen, Joseph P. Hornak, 1992, Electronic Imaging.

Morphological granulometric shape recognition in noise

Edward R. Dougherty, Ying-Chong Cheng, 1993, Other Conferences.

Modeling and systematic analysis of LC-MS proteomics pipeline

Edward R. Dougherty, Ulisses Braga-Neto, Youting Sun, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Algorithm development for fuzzy mathematical morphology

Edward R. Dougherty, Purnendu Sinha, Divyendu Sinha, 1993, Optics & Photonics.

Model-based evaluation of clustering validation measures

Edward R. Dougherty, Marcel Brun, Jianping Hua, 2007, Pattern Recognit..

High-dimensional bolstered error estimation

Edward R. Dougherty, Ulisses Braga-Neto, Chao Sima, 2011, Bioinform..

Nonlinear Filters For Image Processing

Edward R. Dougherty, Jaakko Astola, 2017 .

Gene Prediction Using Multinomial Probit Regression with Bayesian Gene Selection

Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty, 2004, EURASIP J. Adv. Signal Process..

Inference from Clustering with Application to Gene-Expression Microarrays

Roberto Marcondes Cesar Junior, Michael L. Bittner, Edward R. Dougherty, 2002, J. Comput. Biol..

A switching algorithm for design of optimal increasing binary filters over large windows

Edward R. Dougherty, Junior Barrera, Nina Sumiko Tomita Hirata, 2000, Pattern Recognit..

Maximum-likelihood morphological granulometric classifiers

Edward R. Dougherty, John T. Newell, 1992, Electronic Imaging.

The peaking phenomenon in the presence of feature-selection

Edward R. Dougherty, Chao Sima, E. Dougherty, 2008, Pattern Recognit. Lett..

Morphological Processing of Binary Images

Edward R. Dougherty, Roberto de Alencar Lotufo, 2003 .

Estimation of shape mixture by granulometric methods

Edward R. Dougherty, Francis M. Sand, E. Dougherty, 1994, Optics & Photonics.

Euclidean gray-scale granulometries: Representation and umbra inducement

Edward R. Dougherty, 2004, Journal of Mathematical Imaging and Vision.

Statistical and Stochastic Methods in Image Processing II

Francoise J. Preteux, Edward R. Dougherty, Jennifer L. Davidson, 1997 .

Minimal representation of -openings via pattern bases

Edward R. Dougherty, 1994, Pattern Recognit. Lett..

Non-homothetic granulometric mixing theory with application to blood cell counting

Paul D. Gader, Nipon Theera-Umpon, Edward R. Dougherty, 2001, Pattern Recognit..

On the impovesrishment of scientific education

Edward R. Dougherty, E. Dougherty, 2013, EURASIP J. Bioinform. Syst. Biol..

What is Real-Time Processing?

Edward R. Dougherty, Phillip A. Laplante, E. Dougherty, 1994 .

Model-based optimal restoration of fax images in the context of mathematical morphology

John C. Handley, Edward R. Dougherty, E. Dougherty, 1994, J. Electronic Imaging.

Mappings between probabilistic Boolean networks

Edward R. Dougherty, Ilya Shmulevich, 2003, Signal Process..

Generating Stochastic Gene Regulatory Networks Consistent With Pathway Information and Steady-State Behavior

Aniruddha Datta, Edward R. Dougherty, Jason M. Knight, 2012, IEEE Transactions on Biomedical Engineering.

Adaptive intervention in Probabilistic Boolean Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2009, ACC.

A Bayesian approach to nonlinear probit gene selection and classification

Xiaobo Zhou, Xiaodong Wang, Edward R. Dougherty, 2004, J. Frankl. Inst..

Secondarily constrained Boolean filters

Jaakko Astola, Edward R. Dougherty, Octavian V. Sarca, 1998, Signal Processing.

Multimask aperture filters

Stephen Marshall, Edward R. Dougherty, David Greenhalgh, 2001 .

Is cross-validation valid for small-sample microarray classification?

Edward R. Dougherty, Ulisses Braga-Neto, E. Dougherty, 2004, Bioinform..

Spatial Resolution Conversion and Enhancement Using Nonincreasing Operators

Edward R. Dougherty, Robert P. Loce, 1997 .

Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2020, IEEE Transactions on Signal Processing.

Hausdorf-metric interpretation of convergence in the Matheron topology for binary mathematical morphology

Edward R. Dougherty, 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

A general axiomatic theory of intrinsically fuzzy mathematical morphologies

Edward R. Dougherty, Divyendu Sinha, 1995, IEEE Trans. Fuzzy Syst..

From biological pathways to regulatory networks

Aniruddha Datta, Edward R. Dougherty, Ritwik Layek, 2010, CDC.

PROOF COPY 002404JBO Noise factor analysis for cDNA microarrays

Edward R. Dougherty, Naisyin Wang, Yoganand Balagurunathan, 2004 .

Small-Sample Classification

Edward R. Dougherty, Lori A. Dalton, 2016 .

Design of morphological set operators by statistical optimization

Edward R. Dougherty, Junior Barrera, 1999 .

Optimal number of features as a function of sample size for various classification rules

Zixiang Xiong, Edward R. Dougherty, Jianping Hua, 2005, Bioinform..

Adaptive reconstructive tau-openings: convergence and the steady-state distribution

Edward R. Dougherty, Yidong Chen, E. Dougherty, 1996, J. Electronic Imaging.

Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks

Edward R. Dougherty, Ilya Shmulevich, Seungchan Kim, 2002, Bioinform..

On Reinforcement Learning in Genetic Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Babak Faryabi, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

Logical context of nonlinear filtering

Robert M. Haralick, Edward R. Dougherty, 1992, Electronic Imaging.

Intrinsically Optimal Bayesian Robust Filtering

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2014, IEEE Transactions on Signal Processing.

Document restoration and enhancement using optimal iterative and paired morphological filters

Edward R. Dougherty, Robert P. Loce, Yeqing Zhang, 1997, Electronic Imaging.

Optimal Objective-Based Experimental Design for Uncertain Dynamical Gene Networks with Experimental Error

Edward R. Dougherty, Roozbeh Dehghannasiri, Daniel N. Mohsenizadeh, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Nonlinear image processing V : 7-9 February 1994, San Jose, California

Jaakko Astola, Edward R. Dougherty, Harold G. Longbotham, 1993 .

Small-sample precision of ROC-related estimates

Blaise Hanczar, John N. Weinstein, Michael L. Bittner, 2010, Bioinform..

Morphological quantification of surface roughness

Edward R. Dougherty, Yoganand Balagurunathan, 2003 .

Evolving Feature Selection

Chris H. Q. Ding, Hanchuan Peng, Fuhui Long, 2005, IEEE Intell. Syst..

Generalized Consistent Error Estimator of Linear Discriminant Analysis

Edward R. Dougherty, Amin Zollanvari, E. Dougherty, 2015, IEEE Transactions on Signal Processing.

Structural intervention of gene regulatory networks by general rank-k matrix perturbation

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hybrid human-machine binary morphological operator design

Edward R. Dougherty, Junior Barrera, Marcel Brun, 1999, Electronic Imaging.

SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays

Edward R. Dougherty, Marcel Brun, Jianping Hua, 2007, Bioinform..

Modeling Genetic Regulatory Networks by Sigmoidal Functions: A Joint Genetic Algorithm and Kalman Filtering Approach

Edward R. Dougherty, Lijun Qian, Haixin Wang, 2007, Third International Conference on Natural Computation (ICNC 2007).

Small data is the problem

Edward R. Dougherty, Lori A. Dalton, Francis J. Alexander, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Combination therapy design for cancer: A digital systems approach

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2011, IEEE Conference on Decision and Control and European Control Conference.

Digital measurement of gene expression in a cDNA microarray

Michael L. Bittner, Edward R. Dougherty, Sinan Batman, 1997, Medical Imaging.

Some Applications of Aperture Filters

Edward R. Dougherty, Junior Barrera, Roberto Hirata, 2000, ISMM.

Chapter One. Biological Foundations

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2007 .

Effect of separate sampling on classification and the minimax criterion

Edward R. Dougherty, Mohammad Shahrokh Esfahani, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Model-based characterization of statistically optimal design for morphological shape recognition algorithms via the hit-or-miss transform

Edward R. Dougherty, Dongming Zhao, E. Dougherty, 1992, J. Vis. Commun. Image Represent..

What should be expected from feature selection in small-sample settings

Edward R. Dougherty, Chao Sima, E. Dougherty, 2006, Bioinform..

Joint Sampling Distribution Between Actual and Estimated Classification Errors for Linear Discriminant Analysis

Ulisses Braga-Neto, Edward R. Dougherty, Amin Zollanvari, 2010, IEEE Transactions on Information Theory.

Optimal and adaptive reconstructive granulometric bandpass filters

Edward R. Dougherty, Yidong Chen, E. Dougherty, 1997, Signal Process..

Hybrid human-machine binary morphological operator design. An independent constraint approach

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2000, Signal Process..

An Introduction to Nonlinear Image Processing

Jaakko Astola, Edward R. Dougherty, 1994 .

Optimal Mean-Absolute-Error Nonincreasing Binary Filters

Edward R. Dougherty, Robert P. Loce, 1997 .

Universal Systolic Architecture For Morphological And Convolutional Image Filters

Edward R. Dougherty, Charles R. Giardina, 1988, Other Conferences.

Statistics of the morphological pattern-spectrum mean and variance for a normal-sized convex-base random Boolean image

Edward R. Dougherty, Francis M. Sand, 1992, Electronic Imaging.

Robust Morphologically Continuous Fourier Descriptors I: Projection-Generated Descriptors

Edward R. Dougherty, Robert P. Loce, 1992, Int. J. Pattern Recognit. Artif. Intell..

Using structuring-element libraries to design suboptimal morphological filters

Edward R. Dougherty, Robert P. Loce, 1991, Optics & Photonics.

Genetic test bed for feature selection

Ashish Choudhury, Edward R. Dougherty, Marcel Brun, 2006, Bioinform..

Optimal iterative increasing binary morphological filters

Edward R. Dougherty, Yidong Chen, Yeqing Zhang, 1996 .

Designing experiments for optimal reduction of uncertainty in gene regulatory networks

Edward R. Dougherty, Byung-Jun Yoon, Roozbeh Dehghannasiri, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Robustness of optimal binary filters for sparse noise

Edward R. Dougherty, Artyom M. Grigoryan, 1997, Optics & Photonics.

Random signal model for cDNA microarrays

Michael L. Bittner, Edward R. Dougherty, Yoganand Balagurunathan, 2001, SPIE BiOS.

Aperture filters

Edward R. Dougherty, Junior Barrera, Roberto Hirata, 2000, Signal Process..

Intrinsically Bayesian robust Karhunen-Loève compression

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2018, Signal Process..

Maximum-likelihood estimation for the discrete Boolean random function

John C. Handley, Edward R. Dougherty, 1996, Optics & Photonics.

Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention?

Ashish Choudhury, Edward R. Dougherty, Ranadip Pal, 2007, IEEE Signal Processing Magazine.

Comparison of Gene Regulatory Networks via Steady-State Trajectories

Edward R. Dougherty, Marcel Brun, Seungchan Kim, 2007, EURASIP J. Bioinform. Syst. Biol..

Effects of partial reporting of classification results

Edward R. Dougherty, Mohammadmahdi R. Yousefi, Jianping Hua, 2010, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Parallel computing methods for analyzing gene expression relationships

Edward R. Dougherty, Robert L. Martino, Edward B. Suh, 2001, SPIE BiOS.

Unbiased bootstrap error estimation for linear discriminant analysis

Edward R. Dougherty, Ulisses Braga-Neto, Chao Sima, 2014, EURASIP J. Bioinform. Syst. Biol..

Computational mathematical morphology

Edward R. Dougherty, Divyendu Sinha, 1994, Signal Process..

Application of the Bayesian MMSE estimator for classification error to gene expression microarray data

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2011, Bioinform..

Design of optimal binary filters under joint multiresolution-envelope constraint

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2003, Pattern Recognit. Lett..

Inference of gene regulatory networks: validation and uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2016, Big Data over Networks.

Nonlinear Image Processing VII

Jaakko Astola, Edward R. Dougherty, Harold G. Longbotham, 1991 .

Characterization of Drug Efficacy Regions Based on Dosage and Frequency Schedules

Michael L. Bittner, Edward R. Dougherty, Lijun Qian, 2011, IEEE Transactions on Biomedical Engineering.

Front Matter: Volume 6812

Jaakko Astola, Karen O. Egiazarian, Edward R. Dougherty, 2008 .

Expression ratio statistics and its applications to microarray data analysis

Michael L. Bittner, Edward R. Dougherty, Paul S. Meltzer, 2000, Photonics West - Biomedical Optics.

Need for fuzzy morphology: erosion as a fuzzy marker

Edward R. Dougherty, Divyendu Sinha, 1992, Defense, Security, and Sensing.

Optimal Control in a Family of Boolean Networks

Ashish Choudhury, Michael L. Bittner, Edward R. Dougherty, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Random matrix theory in pattern classification: An application to error estimation

Edward R. Dougherty, Amin Zollanvari, E. Dougherty, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Optimal robust classifiers

Zixiang Xiong, Edward R. Dougherty, Yidong Chen, 2005, Pattern Recognit..

Intervention in Context-Sensitive Probabilistic Boolean Networks Revisited

Aniruddha Datta, Edward R. Dougherty, Golnaz Vahedi, 2009, EURASIP J. Bioinform. Syst. Biol..

Intervention in gene regulatory networks with maximal phenotype alteration

Edward R. Dougherty, Mohammadmahdi R. Yousefi, E. Dougherty, 2013, Bioinform..

Shape characterization of silver halide crystals

Edward R. Dougherty, Jill M. McCabe, 1992, Electronic Imaging.

Spectral Preprocessing for Clustering Time-Series Gene Expressions

Edward R. Dougherty, Erchin Serpedin, Wentao Zhao, 2009, EURASIP J. Bioinform. Syst. Biol..

Hausdorff-metric continuity of projection-generated Fourier descriptors

Edward R. Dougherty, Robert P. Loce, 1992, Other Conferences.

Fuzzification of set inclusion

Edward R. Dougherty, Divyendu Sinha, 1992, Defense, Security, and Sensing.

Robustness of the pattern spectrum

Edward R. Dougherty, Francis M. Sand, 1997, Electronic Imaging.

Effect of separate sampling on classification accuracy

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2014, Bioinform..

Mathematical Modeling and Estimation Techniques in Computer Vision

Francoise J. Preteux, Edward R. Dougherty, Jennifer L. Davidson, 1998 .

Morphological Granulometric Analysis Of Electrophotographic Images

Jeff B. Pelz, Edward R. Dougherty, Dana G. Marsh, 1990, Optics & Photonics.

Controlpproaches for Probabilistic Gene Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2007 .

Logically Efficient Spatial Resolution Conversion Using Paired Increasing Operators

Edward R. Dougherty, Robert P. Loce, Michael S. Cianciosi, 1997, Real Time Imaging.

Optimal Intervention Strategies for Cyclic Therapeutic Methods

Aniruddha Datta, Edward R. Dougherty, Golnaz Vahedi, 2009, IEEE Transactions on Biomedical Engineering.

Optimal Bayesian Classification

Edward R. Dougherty, Lori A. Dalton, 2020 .

Fuzzy morphological filters

Edward R. Dougherty, Purnendu Sinha, Divyendu Sinha, 1992, Other Conferences.

Bayesian robust optimal linear filters

Edward R. Dougherty, Artyom M. Grigoryan, 2001, Signal Process..

Intervention in gene regulatory networks via greedy control policies based on long-run behavior

Edward R. Dougherty, Xiaoning Qian, Ivan Ivanov, 2009, BMC Systems Biology.

The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics

Edward R. Dougherty, E. Dougherty, 2005, Pattern Recognit..

Reporting bias when using real data sets to analyze classification performance

Edward R. Dougherty, Mohammadmahdi R. Yousefi, Jianping Hua, 2010, Bioinform..

Estimation of optimal morphological τ-opening parameters based on independent observation of signal and noise pattern spectra

Robert M. Haralick, Edward R. Dougherty, Yidong Chen, 1992, Signal Process..

1. Boolean Networks

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2010 .

Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis

Edward R. Dougherty, Amin Zollanvari, Ulisses Braga-Neto, 2011, IEEE Transactions on Signal Processing.

Epidemiological modeling of news and rumors on Twitter

Naren Ramakrishnan, Yang Cao, Edward R. Dougherty, 2013, SNAKDD '13.

Finding robust linear expression-based classifiers

Michael L. Bittner, Edward R. Dougherty, Junior Barrera, 2001, SPIE BiOS.

Relationship between the accuracy of classifier error estimation and complexity of decision boundary

Ulisses Braga-Neto, Edward R. Dougherty, Chao Sima, 2013, Pattern Recognit..

Conditional-expectation-based implementation of the optimal mean-square binary morphological filter

Edward R. Dougherty, Vivek Swarnakar, Athimootil V. Mathew, 1991, Electronic Imaging.

Dynamics Preserving Size Reduction Mappings for Probabilistic Boolean Networks

Edward R. Dougherty, Ivan Ivanov, Ranadip Pal, 2007, IEEE Transactions on Signal Processing.

Modeling cyclic and acyclic therapeutic methods with persistent intervention effect in probabilistic Boolean networks

Aniruddha Datta, Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Simulation Toolbox for 3D-FISH Spot-Counting Algorithms

Edward R. Dougherty, Artyom M. Grigoryan, Olli-P. Kallioniemi, 2002, Real Time Imaging.

Gray-scale granulometries compatible with spatial scalings

Edward R. Dougherty, Henk J. A. M. Heijmans, Eugene J. Kraus, 1993, Signal Process..

Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks

Edward R. Dougherty, Ulisses Braga-Neto, Alireza Karbalayghareh, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sensitivity analysis for drug effect study: An NF-κB pathway example

Edward R. Dougherty, Lijun Qian, Xiangfang Li, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

A Bayesian robust Kalman smoothing framework for state-space models with uncertain noise statistics

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2018, EURASIP J. Adv. Signal Process..

Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control Systems Approach

Edward R. Dougherty, Lijun Qian, Wasiu Opeyemi Oduola, 2018, IEEE Transactions on Biomedical Engineering.

Real-time large-window binary filter design

Edward R. Dougherty, Vishnu G. Kamat, 2001, IS&T/SPIE Electronic Imaging.

Introduction to Computer Systems for Imaging

Edward R. Dougherty, Divyendu Sinha, 1997 .

Bayesian switching algorithm for the optimal increasing binary filter

Edward R. Dougherty, Junior Barrera, Nina S.T. Hirata, 2000, 2000 10th European Signal Processing Conference.

Performance reproducibility index for classification

Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2012, Bioinform..

Open-Loop Feedback Intervention: Control of gene regulatory networks with unmeasurable context

Aniruddha Datta, Edward R. Dougherty, Golnaz Vahedi, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Morphological slice-based counting of illuminated 3D bodies

Edward R. Dougherty, Artyom M. Grigoryan, 2001, IS&T/SPIE Electronic Imaging.

Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2013, Pattern Recognit..

Robustness of optimal binary filters

Edward R. Dougherty, Artyom M. Grigoryan, 1998, J. Electronic Imaging.

Classification with reject option in gene expression data

Blaise Hanczar, Edward R. Dougherty, E. Dougherty, 2008, Bioinform..

Assessing Combinational Drug Efficacy in Cancer Cells by Using Image-based Dynamic Response Analysis

Michael L. Bittner, Edward R. Dougherty, Chao Sima, 2015, Cancer informatics.

Modeling treatment and drug effects at the molecular level using hybrid system theory

Edward R. Dougherty, Lijun Qian, Xiangfang Li, 2010, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Optimal Bayesian Transfer Learning for Classifying Multivariate Gaussian Observations

Edward R. Dougherty, Xiaoning Qian, Alireza Karbalayghareh, 2018, 2018 New York Scientific Data Summit (NYSDS).

Morphological Processing of Gray-Scale Images

Edward R. Dougherty, Roberto de Alencar Lotufo, 2003 .

Granulometric estimation of sizing parameters and proportions for gamma-distributed grain sizes

Edward R. Dougherty, Francis M. Sand, E. Dougherty, 1995, Electronic Imaging.

Optimal Wiener and homomorphic filtration: Review

Sos S. Agaian, Edward R. Dougherty, Artyom M. Grigoryan, 2016, Signal Process..

Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification

Edward R. Dougherty, Amin Zollanvari, Byung-Jun Yoon, 2013, Pattern Recognit..

Optimizing Consistency-Based Design of Context-Sensitive Gene Regulatory Networks

Edward R. Dougherty, Yufei Xiao, 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

Image Segmentation By Local Morphological Granulometries

Jeff B. Pelz, Edward R. Dougherty, Eugene J. Kraus, 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

Fundamentals of Digital Document Enhancement and Restoration

Edward R. Dougherty, Robert P. Loce, 1997 .

A CoD-based reduction algorithm for designing stationary control policies on Boolean networks

Edward R. Dougherty, Xiaoning Qian, Ivan Ivanov, 2010, Bioinform..

Generating Boolean networks with a prescribed attractor structure

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2005, Bioinform..

Morphological granulometric analysis of electrophotographic images--size distribution statistics for process control

Jeff B. Pelz, Edward R. Dougherty, E. Dougherty, 1991 .

Model-based morphology

Robert M. Haralick, Edward R. Dougherty, Philip L. Katz, 1991, Defense, Security, and Sensing.

Books in the IEEE Press Series on Biomedical Engineering

Michael L. Bittner, Edward R. Dougherty, 2011 .

Genomic Signal Processing: The Salient Issues

Michael L. Bittner, Edward R. Dougherty, Ilya Shmulevich, 2004, EURASIP J. Adv. Signal Process..

Growing genetic regulatory networks from seed genes

Michael L. Bittner, Edward R. Dougherty, Ronaldo Fumio Hashimoto, 2004, Bioinform..

Computation of morphological texture features for medical imaging applications

Nasser Kehtarnavaz, Edward R. Dougherty, Krishnamoorthy Sivakumar, 1998, Medical Imaging.

Bayesian Robustness in the Control of Gene Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2007, IEEE Transactions on Signal Processing.

Optimal classifiers within a Bayesian framework

Edward R. Dougherty, Lori A. Dalton, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Genomic signal processing - Editorial

Carsten Peterson, Edward R. Dougherty, Yidong Chen, 2004 .

Application of dynamic programming in genetic regulatory networks

Aniruddha Datta, Edward R. Dougherty, Ashish Choudhary, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part I: Definition and the Bayesian MMSE Error Estimator for Discrete Classification

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2011, IEEE Transactions on Signal Processing.

Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty

Edward R. Dougherty, Xiaoning Qian, Ulisses Braga-Neto, 2018, BMC Genomics.

Designing robust binary filters

Edward R. Dougherty, Artyom M. Grigoryan, 1998, Electronic Imaging.

Bayesian multivariate Poisson model for RNA-seq classification

Edward R. Dougherty, Ivan Ivanov, Jason M. Knight, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Linear Image Processing Algorithms

Edward R. Dougherty, Phillip A. Laplante, 1994 .

Optimal Constrained Stationary Intervention in Gene Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Golnaz Vahedi, 2008, EURASIP J. Bioinform. Syst. Biol..

Nonlinear filters in genomic control

Michael L. Bittner, Edward R. Dougherty, Junior Barrera, 1999, NSIP.

Inference of Gene Regulatory Networks using S-System: A Unified Approach

Edward R. Dougherty, Lijun Qian, Haixin Wang, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation

Nasser Kehtarnavaz, Edward R. Dougherty, Yoganand Balagurunathan, 2000, Real Time Imaging.

BPDA2d - a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry

Edward R. Dougherty, Ulisses Braga-Neto, Jianqiu Zhang, 2012, Bioinform..

Optimal therapeutic methods with random-length response in probabilistic boolean networks

Aniruddha Datta, Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Stochastic Modeling of the Relationship between Copy Number and Gene Expression Based on Transcriptional Logic

Edward R. Dougherty, Erchin Serpedin, Yidong Chen, 2012, IEEE Transactions on Biomedical Engineering.

Boosting OCR Classifier by Optimal Edge Noise Filtering

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2000, ISMM.

A fast Branch-and-Bound algorithm for U-curve feature selection

Edward R. Dougherty, Junior Barrera, Ulisses Braga-Neto, 2018, Pattern Recognit..

Binary Opening and Closing

Edward R. Dougherty, Roberto de Alencar Lotufo, 2003 .

Improved branch-and-bound algorithm for U-curve optimization

Ulisses Braga-Neto, Edward R. Dougherty, Esmaeil Atashpaz-Gargari, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Using the minimum description length principle to reduce the rate of false positives of best-fit algorithms

Edward R. Dougherty, Wenbin Liu, Jie Fang, 2014, EURASIP J. Bioinform. Syst. Biol..

Ayesian Automatic Relevance Determination Algorithms for Classifying Gene Expression Data

Edward R. Dougherty, Ilya Shmulevich, Wei Zhang, 2002, Bioinform..

Robust identification of molecularly targeted drug effect coefficient using H∞ filter

Edward R. Dougherty, Lijun Qian, Xiangfang Li, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Computational representation of lattice operators

Edward R. Dougherty, Divyendu Sinha, 1995, Electronic Imaging.

Binary filter design: optimization, prior information, and robustness

Edward R. Dougherty, Junior Barrera, Artyom M. Grigoryan, 1998, Optics & Photonics.

Noise-injected neural networks show promise for use on small-sample expression data

Zixiang Xiong, Edward R. Dougherty, Jianping Hua, 2006, BMC Bioinformatics.

Multiple-rule bias in the comparison of classification rules

Edward R. Dougherty, Mohammadmahdi R. Yousefi, Jianping Hua, 2011, Bioinform..

Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data

Edward R. Dougherty, Ulisses Braga-Neto, Alireza Karbalayghareh, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

On the Number of Close-to-Optimal Feature Sets

Edward R. Dougherty, Marcel Brun, E. Dougherty, 2009 .

Intervention in context-sensitive probabilistic Boolean networks

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2005, Bioinform..

Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis

Edward R. Dougherty, Amin Zollanvari, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Optimal nonlinear filter for signal-union-noise and runlength analysis in the directional one-dimensional discrete Boolean random set model

John C. Handley, Edward R. Dougherty, E. Dougherty, 1996, Signal Process..

The dual representation of gray-scale morphological filters

Edward R. Dougherty, 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

A CoD-based stationary control policy for intervening in large gene regulatory networks

Edward R. Dougherty, Xiaoning Qian, Ivan Ivanov, 2011, BMC Bioinformatics.

Morphological methods in image and signal processing

Edward R. Dougherty, Charles R. Giardina, E. Dougherty, 1988 .

Learning restricted Boolean network model by time-series data

Edward R. Dougherty, Wenbin Liu, Jie Fang, 2014, EURASIP J. Bioinform. Syst. Biol..

Morphology on umbra Matrices

Edward R. Dougherty, Charles R. Giardina, 1988, Int. J. Pattern Recognit. Artif. Intell..

Relationship between the accuracy of classifier error estimation and distribution complexity

Ulisses Braga-Neto, Edward R. Dougherty, Chao Sima, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Optimal Filters with Multiresolution Apertures

Stephen Marshall, Edward R. Dougherty, David Greenhalgh, 2004, Journal of Mathematical Imaging and Vision.

Queueing interpretation of adaptive reconstructive multiparameter τ-opening filters

Edward R. Dougherty, Yidong Chen, 1998, Electronic Imaging.

Representation of finite-range increasing filters in the context of computational morphology

Edward R. Dougherty, Divyendu Sinha, E. Dougherty, 1993, Electronic Imaging.

Scientific knowledge is possible with small-sample classification

Edward R. Dougherty, Lori A. Dalton, E. Dougherty, 2013, EURASIP J. Bioinform. Syst. Biol..

Reduction Mappings between Probabilistic Boolean Networks

Edward R. Dougherty, Ivan Ivanov, 2004, EURASIP J. Adv. Signal Process..

External control in Markovian genetic regulatory networks: the imperfect information case

Aniruddha Datta, Ashish Choudhury, Michael L. Bittner, 2004, Bioinform..

Intervention in Gene Regulatory Networks via Phenotypically Constrained Control Policies Based on Long-Run Behavior

Edward R. Dougherty, Xiaoning Qian, Xiaoning Qian, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Relation Between Permutation-Test P Values and Classifier Error Estimates

Edward R. Dougherty, Sanju Attoor, Tailen Hsing, 2004, Machine Learning.

Exact performance of error estimators for discrete classifiers

Ulisses Braga-Neto, Edward R. Dougherty, E. Dougherty, 2005, Pattern Recognit..

Assessing the efficacy of molecularly targeted agents by using Kalman filter

Michael L. Bittner, Edward R. Dougherty, Lijun Qian, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Editorial (October 1995)

Edward R. Dougherty, 1995 .

Morphological pattern-spectra-based Tau-opening optimization

Robert M. Haralick, Edward R. Dougherty, Yidong Chen, 1991, Other Conferences.

Newton, Laplace, and The Epistemology of Systems Biology

Michael L. Bittner, Edward R. Dougherty, E. Dougherty, 2012, Cancer Informatics.

Optimal intervention strategies for cyclic therapeutic methods with fixed-length duration of effect

Aniruddha Datta, Edward R. Dougherty, Mohammadmahdi R. Yousefi, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Optimal Signal Processing Under Uncertainty

Edward R. Dougherty, 2018 .

Identifying mechanistic similarities in drug responses

Michael L. Bittner, Edward R. Dougherty, Chen Zhao, 2012, Bioinform..

Multiresolution Bayesian design of binary filters

Edward R. Dougherty, Junior Barrera, Vishnu G. Kamat, 2000, J. Electronic Imaging.

Exact MSE performance of the Bayesian MMSE estimator for classification error

Edward R. Dougherty, Lori A. Dalton, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Exact representation of the second-order moments for resubstitution and leave-one-out error estimation for linear discriminant analysis in the univariate heteroskedastic Gaussian model

Ulisses Braga-Neto, Edward R. Dougherty, Amin Zollanvari, 2012, Pattern Recognit..

Stochastic Validation: Classifiers

Michael L. Bittner, Edward R. Dougherty, 2011 .

Quantization Range Conversion Using Nonincreasing Filters

Edward R. Dougherty, Robert P. Loce, 1997 .

Spectral Analysis on Time-Course Expression Data: Detecting Periodic Genes Using a Real-Valued Iterative Adaptive Approach

Edward R. Dougherty, Erchin Serpedin, Kwadwo Agyepong, 2013, Adv. Bioinformatics.

Error Estimation for Pattern Recognition: Braga-Neto/Error

Edward R. Dougherty, Ulisses Braga-Neto, 2015 .

Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution

Zixiang Xiong, Edward R. Dougherty, Jianping Hua, 2005, Pattern Recognit..

New challenges in non-linear signal and image processing

Stephen Marshall, Edward R. Dougherty, 2004, 2004 12th European Signal Processing Conference.

Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks

Edward R. Dougherty, Ulisses Braga-Neto, Alireza Karbalayghareh, 2018, BMC Systems Biology.

A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens—a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems

Edward R. Dougherty, Lijun Qian, Xiangfang Li, 2012, Cancer informatics.

A parallel programming framework with Markovian messaging for LC-MS peptide detection

Edward R. Dougherty, Ulisses Braga-Neto, Zhenghao Zhang, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Efficient switching algorithm for designing increasing binary filters

Edward R. Dougherty, Junior Barrera, Nina Sumiko Tomita Hirata, 1999, Electronic Imaging.

Multiresolution Design of Aperture Operators

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2002, Journal of Mathematical Imaging and Vision.

Inferring gene regulatory networks from time series data using the minimum description length principle

Edward R. Dougherty, Erchin Serpedin, Wentao Zhao, 2006, Bioinform..

New book traces evolution of scientific knowledge

Edward R. Dougherty, 2017 .

Image processing : algorithms and systems : 21-23 January 2002, San Jose, USA

Jaakko Astola, Karen O. Egiazarian, Edward R. Dougherty, 2002 .

Uncertainty-aware Active Learning for Optimal Bayesian Classifier

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, ICLR.

Optimal Decision Making in High-Throughput Virtual Screening Pipelines pdf

Shantenu Jha, Edward R. Dougherty, Xiaoning Qian, 2021, ArXiv.

Optimal Bayesian supervised domain adaptation for RNA sequencing data

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2021, Bioinform..

Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning pdf

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, SSRN Electronic Journal.

Quantifying the Multi-Objective Cost of Uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2020, IEEE Access.

Adaptive Group Testing with Mismatched Models

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Trimer: Transcription Regulation Integrated With MEtabolic Regulation

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, SSRN Electronic Journal.

Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, AISTATS.

Synthetic Data for Design and Evaluation of Binary Classifiers in the Context of Bayesian Transfer Learning

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021 .

Which Control Gene Should be Used in Genetic Regulatory Networks?

Aniruddha Datta, Edward R. Dougherty, Golnaz Vahedi, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

Shape analysis and reduction of the morphological basis for digital moving-average filters

Edward R. Dougherty, Eugene J. Kraus, 1991 .

Noninvasive Detection of Candidate Molecular Biomarkers in Subjects with a History of Insulin Resistance and Colorectal Adenomas

Edward R. Dougherty, Joanne R. Lupton, Robert S. Chapkin, 2009, Cancer Prevention Research.

Genomic Networks: Statistical Inference from Microarray Data

Edward R. Dougherty, Xiaodong Wang, Xiaobo Zhou, 2006 .

Biological Foundations

Edward R. Dougherty, Ilya Shmulevich, E. Dougherty, 2007 .

Nonlinear digital filtering of scanning‐probe‐microscopy images by morphological pseudoconvolutions

Edward R. Dougherty, Howard A. Mizes, R. J. Dwayne Miller, 1992 .

The Evolution of Scientific Knowledge: From Certainty to Uncertainty

Edward R. Dougherty, E. Dougherty, 2016 .

The optimal-morphological-=basis switching algorithm

Edward R. Dougherty, Vivek Swarnakar, Athimootil V. Mathew, 1991, TENCON '91. Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems.

Obtaining and Evaluating Gene Expression Profiles with cDNA Microarrays

Michael L. Bittner, Edward R. Dougherty, Paul S. Meltzer, 2002 .

Efficient derivation of the optimal mean-square binary morphological filter from the conditional expectation via a switching algorithm for discrete power-set lattice

Edward R. Dougherty, Vivek Swarnakar, Athimootil V. Mathew, 1993 .

Towards an Autonomous Efficient Materials Discovery Framework: An Example of Optimal Experiment Design Under Model Uncertainty

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2018 .

Binary filter estimation for large windows

Edward R. Dougherty, E. Dougherty, 1998, Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Cat. No.98EX237).

Detecting Multivariate Gene Interactions in RNA-Seq Data Using Optimal Bayesian Classification

Edward R. Dougherty, Robert S. Chapkin, Ivan Ivanov, 2015 .

Application of image-based granulometry to siliceous and calcareous estuarine and marine sediments

Edward R. Dougherty, Yoganand Balagurunathan, E. Dougherty, 2003 .

Feature-Selection Overfitting with Small-Sample Classifier Design

Huan Liu, Edward R. Dougherty, E. Dougherty, 2005 .

Issues associated with microarray data analysis and integration

Michael L. Bittner, Edward R. Dougherty, E. Dougherty, 1999 .

Mathematical Modeling, Estimation, and Imaging

Francoise Preteux, Hemant D. Tagare, Edward R. Dougherty, 2000 .

GENE SELECTION USING LOGISTIC REGRESSIONS BASED ON AIC, BIC AND MDL CRITERIA

Edward R. Dougherty, Xiaodong Wang, Xiaobo Zhou, 2005 .