Lori A. Dalton

发表

Classification with minimum expected error over an uncertainty class of Gaussian distributions

Lori A. Dalton, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A risk-based approach to optimal clustering under random labeled point processes

Lori A. Dalton, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

Optimal ROC-Based Classification and Performance Analysis under Bayesian Uncertainty Models

Lori A. Dalton, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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.

Application of the sample-conditioned MSE to non-linear classification and censored sampling

Lori A. Dalton, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Data Requirements for Model-Based Cancer Prognosis Prediction

Mohammadmahdi R. Yousefi, Lori A. Dalton, 2015, Cancer informatics.

Biomarker Discovery via Optimal Bayesian Feature Filtering for Structured Multiclass Data

Lori A. Dalton, Ali Foroughi Pour, Ali Foroughi pour, 2018, BCB.

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

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

Joint asymptotic normality of granulometric moments under multiple structuring elements

Lori A. Dalton, 2018, Pattern Recognit. Lett..

Bayesian Error Analysis for Feature Selection in Biomarker Discovery

Lori A. Dalton, Ali Foroughi Pour, Ali Foroughi pour, 2019, IEEE Access.

Theory of Optimal Bayesian Feature Filtering pdf

Lori A. Dalton, Ali Foroughi Pour, Ali Foroughi pour, 2019, Bayesian Analysis.

Classifier risk analysis under Bayesian uncertainty models

Lori A. Dalton, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Integrating Prior Information with Bayesian Feature Selection

Lori A. Dalton, Ali Foroughi Pour, 2017, BCB.

Optimal Bayesian Feature Selection with Bounded False Discovery Rate

Lori A. Dalton, Ali Foroughi Pour, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

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.

Classification and Error Estimation

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

Optimal Bayesian feature selection on high dimensional gene expression data

Lori A. Dalton, Ali Foroughi Pour, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Optimal experimental design for materials discovery

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

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..

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).

Optimal bayesian feature filtering

Lori A. Dalton, Ali Foroughi Pour, 2015, BCB.

Optimal Bayesian feature selection with missing data

Lori A. Dalton, Ali Foroughi Pour, Ali Foroughi pour, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

On the optimality of k-means clustering

Lori A. Dalton, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Optimal clustering under uncertainty

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

On the limits of data-driven cancer prognosis prediction

Mohammadmahdi R. Yousefi, Lori A. Dalton, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

OPTIMAL STATISTICAL CLASSIFICATION

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

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.

Optimal Bayesian Risk-based Multi-class Classification

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

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).

Bayesian Biomarker Discovery for RNAseq Data

Lori A. Dalton, Ali Foroughi Pour, Ali Foroughi pour, 2018, BCB.

Objective Uncertainty Quantification

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

Multiclass Bayesian feature selection

Lori A. Dalton, Ali Foroughi Pour, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Optimal Bayesian Error Estimation

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

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.

A study on high speed TCP protocols

Lori A. Dalton, Ciji Isen, 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

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.

Optimal neyman-pearson classification under Bayesian uncertainty models

Lori A. Dalton, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

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).

Multiple Sclerosis Biomarker Discovery via Bayesian Feature Selection

Lori A. Dalton, Ali Foroughi Pour, Ali Foroughi pour, 2016, BCB.

On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations pdf

Lori A. Dalton, Ali Foroughi pour, 2020, ArXiv.

Robust feature selection for block covariance Bayesian models

Lori A. Dalton, Ali Foroughi Pour, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimal Bayesian cancer prognosis with model-constrained robust intervention

Mohammadmahdi R. Yousefi, Lori A. Dalton, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Small-Sample Classification

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

Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework

Lori A. Dalton, 2012 .

New orthogonal space-time block codes with full diversity

Lori A. Dalton, 2002 .

Intrinsically Optimal Bayesian Robust Filtering

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

Small data is the problem

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

Optimal cancer prognosis under network uncertainty

Mohammadmahdi R. Yousefi, Lori A. Dalton, 2014, EURASIP J. Bioinform. Syst. Biol..

Optimal Bayesian feature filtering for single-nucleotide polymorphism data

Lori A. Dalton, Ali Foroughi Pour, Ali Foroughi pour, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Optimal Bayesian feature selection

Lori A. Dalton, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

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

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

Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure

Lori A. Dalton, Ali Foroughi Pour, 2018, BMC Bioinformatics.

Optimal Bayesian Classification

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

Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure

Lori A. Dalton, Ali Foroughi Pour, Ali Foroughi pour, 2017, BMC Bioinformatics.

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..

Approaches to Probabilistic Assessment of Radioactive Waste Tank Integrity

Lori A. Dalton, Narasi Sridhar, Christopher D. Taylor, 2015 .

Optimal cancer prognosis under network uncertainty

Mohammadmahdi R. Yousefi, Lori A. Dalton, 2015, EURASIP journal on bioinformatics & systems biology.

Optimal classifiers within a Bayesian framework

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

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.

Scientific knowledge is possible with small-sample classification

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

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).

BAYESIAN FEATURE SELECTION WITH DATA INTEGRATION

Lori A. Dalton, Ali Foroughi Pour, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Analysis of 1-D Nested Lattice Quantization and Slepian-Wolf Coding for Wyner-Ziv Coding of i . i . d . Sources

Lori A. Dalton, 2003 .

On optimal Bayesian classification and risk estimation under multiple classes

Mohammadmahdi R. Yousefi, Lori A. Dalton, 2015, EURASIP J. Bioinform. Syst. Biol..

M L ] 2 J un 2 01 8 1 Optimal Clustering under Uncertainty

Marco E. Benalcázar, Lori A. Dalton, E. Dougherty, 2018 .

High dimensional model representation of log-likelihood ratio: binary classification with expression data

Ali Foroughi pour, Maciej Pietrzak, Lori A Dalton, 2020, BMC Bioinformatics.

Clustering Algorithms: On Learning, Validation, Performance, and Applications to Genomics

Marcel Brun, Lori A. Dalton, Virginia Ballarin, 2009, Current genomics.

Optimal Bayesian Filtering for Biomarker Discovery: Performance and Robustness

Ali Foroughi pour, Lori A. Dalton, Lori Dalton, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

High dimensional model representation of log-likelihood ratio: binary classification with expression data

Lori A. Dalton, Ali Foroughi pour, G. Rempała, 2020, BMC Bioinformatics.

SAMPLING PARADIGM FOR GENOMIC DATA CLASSIFICATION

Lori A. Dalton, E. Dougherty, 2012 .