A study on high speed TCP protocols. - Lori A. Dalton; Ciji Isen (GLOBECOM, 2004)

A full-rate, full-diversity four-antenna quasi-orthogonal space-time block code. - Lori A. Dalton; Costas N. Georghiades (IEEE Trans. Wirel. Commun., 2005)

Bayesian MMSE estimation of classification error and performance on real genomic data. - Lori A. Dalton; Edward R. Dougherty (GENSiPS, 2010)

Exact MSE performance of the Bayesian MMSE estimator for classification error. - Lori A. Dalton; Edward R. Dougherty (ACSCC, 2011)

Classifier error estimator performance in a Bayesian context. - Lori A. Dalton; Edward R. Dougherty (GENSiPS, 2011)

Application of the Bayesian MMSE estimator for classification error to gene expression microarray data. - Lori A. Dalton; Edward R. Dougherty (Bioinform., 2011)

Bayesian Minimum Mean-Square Error Estimation for Classification Error - Part I: Definition and the Bayesian MMSE Error Estimator for Discrete Classification. - Lori A. Dalton; Edward R. Dougherty (IEEE Trans. Signal Process., 2011)

Bayesian Minimum Mean-Square Error Estimation for Classification Error - Part II: Linear Classification of Gaussian Models. - Lori A. Dalton; Edward R. Dougherty (IEEE Trans. Signal Process., 2011)

Optimal Bayesian classification and its application to gene regulatory networks. - Lori A. Dalton; Edward R. Dougherty (GENSiPS, 2012)

Optimal classifiers within a Bayesian framework. - Lori A. Dalton; Edward R. Dougherty (SSP, 2012)

Optimal mean-square-error calibration of classifier error estimators under Bayesian models. - Lori A. Dalton; Edward R. Dougherty (Pattern Recognit., 2012)

Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error - Part I: Representation. - Lori A. Dalton; Edward R. Dougherty (IEEE Trans. Signal Process., 2012)

Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error - Part II: Consistency and Performance Analysis. - Lori A. Dalton; Edward R. Dougherty (IEEE Trans. Signal Process., 2012)

Classifier risk analysis under Bayesian uncertainty models. - Lori A. Dalton (ACSSC, 2013)

Bayes clustering operators for known random labeled point processes. - Lori A. Dalton; Marco Benalcázar; Marcel Brun; Edward R. Dougherty (ACSSC, 2013)

Application of the sample-conditioned MSE to non-linear classification and censored sampling. - Lori A. Dalton (EUSIPCO, 2013)

On the optimality of k-means clustering. - Lori A. Dalton (GENSiPS, 2013)

Optimal neyman-pearson classification under Bayesian uncertainty models. - Lori A. Dalton (GENSiPS, 2013)

Optimal Bayesian feature selection. - Lori A. Dalton (GlobalSIP, 2013)

Classification with minimum expected error over an uncertainty class of Gaussian distributions. - Lori A. Dalton (ICASSP, 2013)

Scientific knowledge is possible with small-sample classification. - Edward R. Dougherty; Lori A. Dalton (EURASIP J. Bioinform. Syst. Biol., 2013)

Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis. - Lori A. Dalton; Edward R. Dougherty (Pattern Recognit., 2013)

Optimal classifiers with minimum expected error within a Bayesian framework - Part I: Discrete and Gaussian models. - Lori A. Dalton; Edward R. Dougherty (Pattern Recognit., 2013)

Optimal Bayesian cancer prognosis with model-constrained robust intervention. - Lori A. Dalton; Mohammadmahdi R. Yousefi (GlobalSIP, 2014)

Optimal Bayesian feature selection on high dimensional gene expression data. - Ali Foroughi Pour; Lori A. Dalton (GlobalSIP, 2014)

Intrinsically Optimal Bayesian Robust Filtering. - Lori A. Dalton; Edward R. Dougherty (IEEE Trans. Signal Process., 2014)

A risk-based approach to optimal clustering under random labeled point processes. - Lori A. Dalton (ACSSC, 2015)

Small data is the problem. - Edward R. Dougherty; Lori A. Dalton; Francis J. Alexander (ACSSC, 2015)

Optimal bayesian feature filtering. - Ali Foroughi Pour; Lori A. Dalton (BCB, 2015)

On optimal Bayesian classification and risk estimation under multiple classes. - Lori A. Dalton; Mohammadmahdi R. Yousefi (EURASIP J. Bioinform. Syst. Biol., 2015)

Optimal cancer prognosis under network uncertainty. - Mohammadmahdi R. Yousefi; Lori A. Dalton (EURASIP J. Bioinform. Syst. Biol., 2015)

Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes. - Lori A. Dalton; Marco Benalcázar; Marcel Brun; Edward R. Dougherty (IEEE Trans. Signal Process., 2015)

Multiple Sclerosis Biomarker Discovery via Bayesian Feature Selection. - Ali Foroughi Pour; Lori A. Dalton (BCB, 2016)

On the limits of data-driven cancer prognosis prediction. - Mohammadmahdi R. Yousefi; Lori A. Dalton (BHI, 2016)

Optimal Bayesian feature selection with missing data. - Ali Foroughi Pour; Lori A. Dalton (GlobalSIP, 2016)

Optimal ROC-Based Classification and Performance Analysis under Bayesian Uncertainty Models. - Lori A. Dalton (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Integrating Prior Information with Bayesian Feature Selection. - Ali Foroughi Pour; Lori A. Dalton (BCB, 2017)

Optimal Bayesian feature filtering for single-nucleotide polymorphism data. - Ali Foroughi Pour; Lori A. Dalton (BIBM, 2017)

Multiclass Bayesian feature selection. - Ali Foroughi Pour; Lori A. Dalton (GlobalSIP, 2017)

Robust feature selection for block covariance Bayesian models. - Ali Foroughi Pour; Lori A. Dalton (ICASSP, 2017)

Optimal Bayesian Feature Selection with Bounded False Discovery Rate. - Ali Foroughi Pour; Lori A. Dalton (ACSSC, 2018)

Biomarker Discovery via Optimal Bayesian Feature Filtering for Structured Multiclass Data. - Ali Foroughi Pour; Lori A. Dalton (BCB, 2018)

Bayesian Biomarker Discovery for RNAseq Data. - Ali Foroughi Pour; Lori A. Dalton (BCB, 2018)

Bayesian Feature Selection with Data Integration. - Ali Foroughi Pour; Lori A. Dalton (GlobalSIP, 2018)

Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure. - Ali Foroughi Pour; Lori A. Dalton (BMC Bioinform., 2018)

Optimal Clustering under Uncertainty. - Lori A. Dalton; Marco E. Benalcázar; Edward R. Dougherty (CoRR, 2018)

Joint asymptotic normality of granulometric moments under multiple structuring elements. - Lori A. Dalton (Pattern Recognit. Lett., 2018)

Bayesian Error Analysis for Feature Selection in Biomarker Discovery. - Ali Foroughi Pour; Lori A. Dalton (IEEE Access, 2019)

Theory of Optimal Bayesian Feature Filtering. - Ali Foroughi Pour; Lori A. Dalton (CoRR, 2019)

High dimensional model representation of log-likelihood ratio: binary classification with expression data. - Ali Foroughi Pour; Maciej Pietrzak; Lori A. Dalton; Grzegorz A. Rempala (BMC Bioinform., 2020)

On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations. - Ali Foroughi Pour; Lori A. Dalton (CoRR, 2020)

Optimal Bayesian Filtering for Biomarker Discovery: Performance and Robustness. - Ali Foroughi Pour; Lori A. Dalton (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)