Edward R. Dougherty
Affiliations:- Texas A&M University
According to our database1,
Edward R. Dougherty
authored at least 424 papers
between 1988 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2012, "For contributions to the development of genomic signal processing".
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on viaf.org
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on id.loc.gov
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on d-nb.info
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on gsp.tamu.edu
On csauthors.net:
Bibliography
2024
Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification.
IEEE Trans. Artif. Intell., March, 2024
IEEE Trans. Signal Process., 2024
2023
Patterns, November, 2023
Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery.
Patterns, November, 2023
J. Comput. Biol., July, 2023
2022
Network Classification Based on Reducibility With Respect to the Stability of Canalizing Power of Genes in a Gene Regulatory Network - A Boolean Network Modeling Perspective.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning.
Patterns, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Bioinform., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems.
IEEE Trans. Signal Process., 2020
IEEE Signal Process. Mag., 2020
2019
IEEE Trans. Signal Process., 2019
Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Quantifying the notions of canalizing and master genes in a gene regulatory network - a Boolean network modeling perspective.
Bioinform., 2019
IEEE Access, 2019
2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
Optimal Objective-Based Experimental Design for Uncertain Dynamical Gene Networks with Experimental Error.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Detecting Multivariate Gene Interactions in RNA-Seq Data Using Optimal Bayesian Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control Systems Approach.
IEEE Trans. Biomed. Eng., 2018
Pattern Recognit., 2018
A Bayesian robust Kalman smoothing framework for state-space models with uncertain noise statistics.
EURASIP J. Adv. Signal Process., 2018
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty.
CoRR, 2018
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
IET Signal Process., 2017
Review of stochastic hybrid systems with applications in biological systems modeling and analysis.
EURASIP J. Bioinform. Syst. Biol., 2017
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors.
BMC Bioinform., 2017
Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Intrinsically Bayesian Robust Classifier for Single-Cell Gene Expression Time Series in Gene Regulatory Networks.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
An objective-based experimental design framework for signal processing in the context of canonical expansions.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Bayesian Kalman filtering in the presence of unknown noise statistics using factor graphs.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
IEEE Trans. Signal Process., 2016
Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations.
EURASIP J. Bioinform. Syst. Biol., 2016
Optimal experimental design in canonical expansions with applications to signal compression.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
Optimal dynamics uncertainty reduction in gene networks in the presence of experimental error.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
Model-based study of the Effectiveness of Reporting Lists of Small Feature Sets using RNA-Seq Data.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Inference of Nonlinear ODE-Based Gene Regulatory Networks via Intrinsically Bayesian Robust Kalman Filtering.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
Proceedings of the Big Data over Networks, 2016
2015
BMC Bioinform., December, 2015
BMC Bioinform., December, 2015
IEEE Trans. Signal Process., 2015
Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes.
IEEE Trans. Signal Process., 2015
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.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Pattern Recognit., 2015
Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks.
BMC Bioinform., 2015
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
Incorporation of Biological PathwayKnowledge in the Construction of Priorsfor Optimal Bayesian Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model.
Pattern Recognit., 2014
A comparison study of optimal and suboptimal intervention policies for gene regulatory networks in the presence of uncertainty.
EURASIP J. Bioinform. Syst. Biol., 2014
EURASIP J. Bioinform. Syst. Biol., 2014
EURASIP J. Bioinform. Syst. Biol., 2014
Using the minimum description length principle to reduce the rate of false positives of best-fit algorithms.
EURASIP J. Bioinform. Syst. Biol., 2014
Modeling and systematic analysis of biomarker validation using selected reaction monitoring.
EURASIP J. Bioinform. Syst. Biol., 2014
MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification.
BMC Bioinform., 2014
Bioinform., 2014
Modeling mass protest adoption in social network communities using geometric brownian motion.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Computationally efficient experimental design strategy for reducing gene network uncertainty.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
2013
IEEE Trans. Signal Process., 2013
Optimal Intervention in Markovian Gene Regulatory Networks With Random-Length Therapeutic Response to Antitumor Drug.
IEEE Trans. Biomed. Eng., 2013
Estimating Conditional Probabilities for the Detection of Unfavorable Copy Number Alterations in a Targeted Therapy.
IEEE Trans. Biomed. Eng., 2013
Analytical study of performance of linear discriminant analysis in stochastic settings.
Pattern Recognit., 2013
The reliability of estimated confidence intervals for classification error rates when only a single sample is available.
Pattern Recognit., 2013
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.
Pattern Recognit., 2013
Optimal classifiers with minimum expected error within a Bayesian framework - Part I: Discrete and Gaussian models.
Pattern Recognit., 2013
Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis.
Pattern Recognit., 2013
Relationship between the accuracy of classifier error estimation and complexity of decision boundary.
Pattern Recognit., 2013
EURASIP J. Bioinform. Syst. Biol., 2013
EURASIP J. Bioinform. Syst. Biol., 2013
Modeling the Next Generation Sequencing sample processing pipeline for the purposes of classification.
BMC Bioinform., 2013
Bioinform., 2013
Spectral Analysis on Time-Course Expression Data: Detecting Periodic Genes Using a Real-Valued Iterative Adaptive Approach.
Adv. Bioinformatics, 2013
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Robust identification of molecularly targeted drug effect coefficient using H∞ filter.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Effect of mixing probabilities on the bias of cross-validation under separate sampling.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Drug effect study on proliferation and survival pathways on cell line-based platform: A stochastic hybrid systems approach.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Designing experiments for optimal reduction of uncertainty in gene regulatory networks.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Optimal Intervention Strategies for Therapeutic Methods With Fixed-Length Duration of Drug Effectiveness.
IEEE Trans. Signal Process., 2012
Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error - Part II: Consistency and Performance Analysis.
IEEE Trans. Signal Process., 2012
Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error - Part I: Representation.
IEEE Trans. Signal Process., 2012
Intervention in Gene Regulatory Networks via Phenotypically Constrained Control Policies Based on Long-Run Behavior.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Generating Stochastic Gene Regulatory Networks Consistent With Pathway Information and Steady-State Behavior.
IEEE Trans. Biomed. Eng., 2012
Evaluating Dynamic Effects of Copy Number Alterations on Gene Expression Using a Single Transcription Model.
IEEE Trans. Biomed. Eng., 2012
Stochastic Modeling of the Relationship between Copy Number and Gene Expression Based on Transcriptional Logic.
IEEE Trans. Biomed. Eng., 2012
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.
Pattern Recognit., 2012
Optimal mean-square-error calibration of classifier error estimators under Bayesian models.
Pattern Recognit., 2012
EURASIP J. Bioinform. Syst. Biol., 2012
BPDA2d - a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry.
Bioinform., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Structural intervention of gene regulatory networks by general rank-k matrix perturbation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Optimal therapeutic methods with random-length response in probabilistic boolean networks.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
Output-feedback model predictive control of biological phenomena modeled by S-systems.
Proceedings of the American Control Conference, 2012
2011
IEEE Trans. Signal Process., 2011
Bayesian Minimum Mean-Square Error Estimation for Classification Error - Part II: Linear Classification of Gaussian Models.
IEEE Trans. Signal Process., 2011
Bayesian Minimum Mean-Square Error Estimation for Classification Error - Part I: Definition and the Bayesian MMSE Error Estimator for Discrete Classification.
IEEE Trans. Signal Process., 2011
IEEE Trans. Biomed. Eng., 2011
IEEE Trans. Biomed. Eng., 2011
A CoD-based stationary control policy for intervening in large gene regulatory networks.
BMC Bioinform., 2011
Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty.
BMC Bioinform., 2011
Application of the Bayesian MMSE estimator for classification error to gene expression microarray data.
Bioinform., 2011
Briefings Bioinform., 2011
Pathway analysis in the context of Bayesian networks - mathematical modeling of master and canalizing genes.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Modeling cyclic and acyclic therapeutic methods with persistent intervention effect in probabilistic Boolean networks.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Identifying genes associated with chemotherapy response in ovarian carcinomas based on DNA copy number and expression profiles.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Stochastic modeling of dynamic effects of copy number alterations upon gene expression levels.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Relationship between the accuracy of classifier error estimation and distribution complexity.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Parameter estimation of biological phenomena modeled by S-systems: An Extended Kalman filter approach.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
A parallel programming framework with Markovian messaging for LC-MS peptide detection.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Intervention in biological phenomena modeled by S-systems: A model predictive control approach.
Proceedings of the American Control Conference, 2011
Optimal intervention strategies for cyclic therapeutic methods with fixed-length duration of effect.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
IEEE Trans. Signal Process., 2010
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis.
IEEE Trans. Inf. Theory, 2010
Pattern Recognit. Lett., 2010
Int. J. Syst. Sci., 2010
BMC Bioinform., 2010
Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network.
BMC Bioinform., 2010
Bioinform., 2010
Bioinform., 2010
A CoD-based reduction algorithm for designing stationary control policies on Boolean networks.
Bioinform., 2010
RMS bounds and sample size considerations for error estimation in linear discriminant analysis.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Conditioning-based model for the regulatory activities of microRNAs in specific dietary contexts.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Bayesian MMSE estimation of classification error and performance on real genomic data.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Modeling treatment and drug effects at the molecular level using hybrid system theory.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Probabilistic Boolean Networks - The Modeling and Control of Gene Regulatory Networks.
SIAM, ISBN: 978-0-89871-692-4, 2010
2009
IEEE Trans. Signal Process., 2009
IEEE ACM Trans. Comput. Biol. Bioinform., 2009
IEEE Trans. Biomed. Eng., 2009
Signal Image Video Process., 2009
On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers.
Pattern Recognit., 2009
Performance of feature-selection methods in the classification of high-dimension data.
Pattern Recognit., 2009
Identifying Genes Involved in Cyclic Processes by Combining Gene Expression Analysis and Prior Knowledge.
EURASIP J. Bioinform. Syst. Biol., 2009
EURASIP J. Bioinform. Syst. Biol., 2009
Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data - A Model-Based Study.
EURASIP J. Bioinform. Syst. Biol., 2009
EURASIP J. Bioinform. Syst. Biol., 2009
Intervention in gene regulatory networks via greedy control policies based on long-run behavior.
BMC Syst. Biol., 2009
Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes.
BMC Bioinform., 2009
Sample size calculation from specified RMS of the resubstitution error for linear classifiers.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Open-Loop Feedback Intervention: Control of gene regulatory networks with unmeasurable context.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
2008
Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering.
IEEE Trans. Signal Process., 2008
Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention.
IEEE Trans. Signal Process., 2008
IEEE Trans. Signal Process., 2008
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria.
IEEE ACM Trans. Comput. Biol. Bioinform., 2008
Intervention in Gene Regulatory Networks via a Stationary Mean-First-Passage-Time Control Policy.
IEEE Trans. Biomed. Eng., 2008
Pattern Recognit. Lett., 2008
IEEE J. Sel. Top. Signal Process., 2008
Recovering Genetic Regulatory Networks from Chromatin Immunoprecipitation and Steady-State Microarray Data.
EURASIP J. Bioinform. Syst. Biol., 2008
Detecting Periodic Genes from Irregularly Sampled Gene Expressions: A Comparison Study.
EURASIP J. Bioinform. Syst. Biol., 2008
EURASIP J. Bioinform. Syst. Biol., 2008
EURASIP J. Bioinform. Syst. Biol., 2008
EURASIP J. Bioinform. Syst. Biol., 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Mean first-passage time control policy versus reinforcement-learning control policy in gene regulatory networks.
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008
2007
IEEE Trans. Signal Process., 2007
Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention?
IEEE Signal Process. Mag., 2007
Quantification of the Impact of Feature Selection on the Variance of Cross-Validation Error Estimation.
EURASIP J. Bioinform. Syst. Biol., 2007
Inference of a Probabilistic Boolean Network from a Single Observed Temporal Sequence.
EURASIP J. Bioinform. Syst. Biol., 2007
Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings.
EURASIP J. Bioinform. Syst. Biol., 2007
EURASIP J. Bioinform. Syst. Biol., 2007
SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays.
Bioinform., 2007
Modeling Genetic Regulatory Networks by Sigmoidal Functions: A Joint Genetic Algorithm and Kalman Filtering Approach.
Proceedings of the Third International Conference on Natural Computation, 2007
Reconstruction of Genetic Regulatory Networks Based on the Posterior Probabilities of Gene Regulations.
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
2006
IEEE Trans. Signal Process., 2006
Design of probabilistic Boolean networks under the requirement of contextual data consistency.
IEEE Trans. Signal Process., 2006
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
EURASIP J. Bioinform. Syst. Biol., 2006
BMC Bioinform., 2006
Inferring gene regulatory networks from time series data using the minimum description length principle.
Bioinform., 2006
Bioinform., 2006
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2005
Signal Process., 2005
Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution.
Pattern Recognit., 2005
Pattern Recognit., 2005
The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics.
Pattern Recognit., 2005
Pattern Recognit., 2005
Bioinform., 2005
Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS.
Bioinform., 2005
Optimal number of features as a function of sample size for various classification rules.
Bioinform., 2005
Bioinform., 2005
Proceedings of the American Control Conference, 2005
Proceedings of the American Control Conference, 2005
2004
Pattern Recognit., 2004
A Lattice-Based Minimal Gray-Scale Switching Algorithm for Obtaining the Optimal Increasing Filter from the Optimal Filter.
J. Math. Imaging Vis., 2004
J. Frankl. Inst., 2004
EURASIP J. Adv. Signal Process., 2004
EURASIP J. Adv. Signal Process., 2004
A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks.
Bioinform., 2004
External control in Markovian genetic regulatory networks: the imperfect information case.
Bioinform., 2004
Bioinform., 2004
Which is better for cDNA-microarray-based classification: ratios or direct intensities.
Bioinform., 2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004
2003
Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design.
Signal Process., 2003
Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations.
Signal Process., 2003
Pattern Recognit. Lett., 2003
Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements.
Pattern Recognit. Lett., 2003
Mach. Learn., 2003
Int. J. Pattern Recognit. Artif. Intell., 2003
Missing-value estimation using linear and non-linear regression with Bayesian gene selection.
Bioinform., 2003
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
2002
From Boolean to probabilistic Boolean networks as models of genetic regulatory networks.
Proc. IEEE, 2002
J. Math. Imaging Vis., 2002
J. Math. Imaging Vis., 2002
J. Comput. Biol., 2002
ayesian automatic relevance determination algorithms for classifying gene expression data.
Bioinform., 2002
Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks.
Bioinform., 2002
Ratio statistics of gene expression levels and applications to microarray data analysis.
Bioinform., 2002
Proceedings of the Image Processing: Algorithms and Systems, 2002
Proceedings of the Image Processing: Algorithms and Systems, 2002
Proceedings of the Image Processing: Algorithms and Systems, 2002
2001
Pattern Recognit. Lett., 2001
Pattern Recognit., 2001
Morphological granulometric estimation of random patterns in the context of parameterized random sets.
Pattern Recognit., 2001
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001
2000
Hybrid human-machine binary morphological operator design. An independent constraint approach.
Signal Process., 2000
A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation.
Real Time Imaging, 2000
A switching algorithm for design of optimal increasing binary filters over large windows.
Pattern Recognit., 2000
Proceedings of the 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 2000
Proceedings of the 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 2000
Proceedings of the 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the Nonlinear Image Processing XI, 2000
Proceedings of the Nonlinear Image Processing XI, 2000
1999
Signal Process., 1999
Maximum-likelihood estimation and optimal filtering in the nondirectional, one-dimensional binomial germ-grain model.
Pattern Recognit., 1999
Design and Analysis of Robust Binary Filters in the Context of a Prior Distribution for the States of Nature.
J. Math. Imaging Vis., 1999
J. Math. Imaging Vis., 1999
J. Electronic Imaging, 1999
Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI '99), 1999
Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI '99), 1999
Nonlinear filters in genomic control.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999
Proceedings of the Medical Imaging 1999: Image Processing, 1999
Proceedings of the Nonlinear Image Processing X, 1999
Proceedings of the Nonlinear Image Processing X, 1999
Proceedings of the Nonlinear Image Processing X, 1999
Random processes for image and signal processing.
SPIE / IEEE series on imaging science and engineering, IEEE, ISBN: 978-0-7803-3495-3, 1999
1998
Asymptotic granulometric mixing theorem: Morphological estimation of sizing parameters and mixture proportions.
Pattern Recognit., 1998
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Proceedings of the 11th IEEE Symposium on Computer-Based Medical Systems (CBMS '98), 1998
1997
IEEE Trans. Fuzzy Syst., 1997
Optimal reconstructive τ-openings for disjoint and statistically modeled nondisjoint grains.
Signal Process., 1997
Signal Process., 1997
Real Time Imaging, 1997
Optimal Binary Morphological Bandpass Filters Induced by Granulometric Spectral Representation.
J. Math. Imaging Vis., 1997
Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory.
J. Electronic Imaging, 1997
Maximum-Likelihood Estimation for the Two-Dimensional Discrete Boolean Random Set and Function Models Using Multidimensional Linear Samples.
CVGIP Graph. Model. Image Process., 1997
Document restoration and enhancement using optimal iterative and paired morphological filters.
Proceedings of the Document Recognition IV, San Jose, CA, USA, February 8, 1997, 1997
1996
Optimal nonlinear filter for signal-union-noise and runlength analysis in the directional one-dimensional discrete Boolean random set model.
Signal Process., 1996
Bayesian morphological peak estimation and its application to chromosome counting via fluorescence In <i>situ</i> hybridization.
Pattern Recognit., 1996
Existence and synthesis of minimal-basis morphological solutions for a restoration-based boundary-value problem.
J. Math. Imaging Vis., 1996
Optimal binary differencing filters: design, logic complexity, precision analysis, and application to digital document processing.
J. Electronic Imaging, 1996
J. Electronic Imaging, 1996
Proceedings of the Visual Information Processing V, Orlando, FL, USA, April 8, 1996, 1996
Optimal restoration of compressed biomedical images: a discrete lattice theoretic approach.
Proceedings of the Medical Imaging 1996: Image Processing, 1996
Proceedings of the 3th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 1996
Maximum-likelihood estimation for the two-dimensional discrete Boolean model using cross-windowed observations.
Proceedings of the Nonlinear Image Processing VII, 1996
Proceedings of the Nonlinear Image Processing VII, 1996
1995
IEEE Trans. Fuzzy Syst., 1995
Recursive maximum-likelihood estimation in the one-dimensional discrete Boolean random set model.
Signal Process., 1995
Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part II: Image Operators.
Real Time Imaging, 1995
Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part 1: Architecture.
Real Time Imaging, 1995
Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries.
Pattern Recognit., 1995
Representation of Linear Granulometric Moments for Deterministic and Random Binary Euclidean Images.
J. Vis. Commun. Image Represent., 1995
Proceedings of the Visual Information Processing IV, Orlando, FL, USA, April 17, 1995, 1995
Multivariate morphological granulometric texture classification using Walsh and wavelet features.
Proceedings of the Visual Information Processing IV, Orlando, FL, USA, April 17, 1995, 1995
Proceedings of the Document Recognition II, San Jose, CA, USA, February 5, 1995, 1995
1994
Precision of morphological-representation estimators for translation-invariant binary filters: Increasing and nonincreasing.
Signal Process., 1994
Optimal mean-absolute-error filtering of gray-scale signals by the morphological hit-or-miss transform.
J. Math. Imaging Vis., 1994
Model-based optimal restoration of fax images in the context of mathematical morphology.
J. Electronic Imaging, 1994
Proceedings of the 2nd International Symposium on Mathematical Morphology and Its Applications to Image Processing, 1994
Proceedings of the Document Recognition, San Jose, CA, USA, February 6, 1994, 1994
Proceedings of the Document Recognition, San Jose, CA, USA, February 6, 1994, 1994
1993
Model-based algorithm for designing suboptimal morphological filters for restoring subtractive-noise-corrupted images.
J. Electronic Imaging, 1993
Proceedings of the Visual Communications and Image Processing '93, 1993
1992
Estimation of optimal morphological τ-opening parameters based on independent observation of signal and noise pattern spectra.
Signal Process., 1992
Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments.
Pattern Recognit., 1992
Asymptotic normality of the morphological pattern-spectrum moments and orthogonal granulometric generators.
J. Vis. Commun. Image Represent., 1992
Optimal morphological restoration: The morphological filter mean-absolute-error theorem.
J. Vis. Commun. Image Represent., 1992
Model-based characterization of statistically optimal design for morphological shape recognition algorithms via the hit-or-miss transform.
J. Vis. Commun. Image Represent., 1992
J. Math. Imaging Vis., 1992
Unification of nonlinear filtering in the context of binary logical calculus, part I: Binary filters.
J. Math. Imaging Vis., 1992
Hole-spectrum representation and model-based optimal morphological restoration of binary images degraded by subtractive noise.
J. Math. Imaging Vis., 1992
Unification of nonlinear filtering in the context of binary logical calculus, part II: Gray-scale filters.
J. Math. Imaging Vis., 1992
J. Math. Imaging Vis., 1992
J. Electronic Imaging, 1992
Robust Morphologically Continuous Fourier Descriptors II: Continuity and Occlusion Analysis.
Int. J. Pattern Recognit. Artif. Intell., 1992
Robust Morphologically Continuous Fourier Descriptors I: Projection-Generated Descriptors.
Int. J. Pattern Recognit. Artif. Intell., 1992
Optimal mean-square N-observation digital morphological filters : II. Optimal gray-scale filters.
CVGIP Image Underst., 1992
Optimal mean-square N-observation digital morphological filters : I. Optimal binary filters.
CVGIP Image Underst., 1992
The use of first-order structuring-element libraries to design morphological filters.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992
1991
Application of the Hausdorff metric in gray-scale mathematical morphology via truncated umbrae.
J. Vis. Commun. Image Represent., 1991
1990
Proceedings of the Visual Communications and Image Processing '90: Fifth in a Series, 1990
Hausdorf-metric interpretation of convergence in the Matheron topology for binary mathematical morphology.
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990
1989
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989
1988
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1988
Closed-form representation of convolution, dilation, and erosion in the context of image algebra.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1988
Mathematical methods for artificial intelligence and autonomous systems.
Prentice Hall, ISBN: 978-0-13-560921-7, 1988