Lori A. Dalton

Publication Activity (10 Years)

Years Active: 2004-2020
Publications (10 Years): 27

Top Topics

Biomarker Discovery

Feature Selection

Bayesian Models

Top Venues

IEEE Trans. Signal Process.

Publications

Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian Filtering for Biomarker Discovery: Performance and Robustness. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Ali Foroughi Pour, Maciej Pietrzak, Lori A. Dalton, Grzegorz A. Rempala
High dimensional model representation of log-likelihood ratio: binary classification with expression data. BMC Bioinform. 21 (1) (2020)
Ali Foroughi Pour, Lori A. Dalton
On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations. CoRR (2020)
Ali Foroughi Pour, Lori A. Dalton
Bayesian Error Analysis for Feature Selection in Biomarker Discovery. IEEE Access 7 (2019)
Ali Foroughi Pour, Lori A. Dalton
Theory of Optimal Bayesian Feature Filtering. CoRR (2019)
Lori A. Dalton
Joint asymptotic normality of granulometric moments under multiple structuring elements. Pattern Recognit. Lett. 111 (2018)
Ali Foroughi Pour, Lori A. Dalton
Bayesian Biomarker Discovery for RNAseq Data. BCB (2018)
Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian Feature Selection with Bounded False Discovery Rate. ACSSC (2018)
Ali Foroughi Pour, Lori A. Dalton
Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure. BMC Bioinform. (3) (2018)
Ali Foroughi Pour, Lori A. Dalton
Biomarker Discovery via Optimal Bayesian Feature Filtering for Structured Multiclass Data. BCB (2018)
Lori A. Dalton, Marco E. Benalcázar, Edward R. Dougherty
Optimal Clustering under Uncertainty. CoRR (2018)
Ali Foroughi Pour, Lori A. Dalton
Bayesian Feature Selection with Data Integration. GlobalSIP (2018)
Ali Foroughi Pour, Lori A. Dalton
Multiclass Bayesian feature selection. GlobalSIP (2017)
Ali Foroughi Pour, Lori A. Dalton
Integrating Prior Information with Bayesian Feature Selection. BCB (2017)
Ali Foroughi Pour, Lori A. Dalton
Heuristic Algorithms for Feature Selection under Bayesian Models with Block-diagonal Covariance Structure. BCB (2017)
Ali Foroughi Pour, Lori A. Dalton
Robust feature selection for block covariance Bayesian models. ICASSP (2017)
Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian feature filtering for single-nucleotide polymorphism data. BIBM (2017)
Lori A. Dalton
Optimal ROC-Based Classification and Performance Analysis under Bayesian Uncertainty Models. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (4) (2016)
Mohammadmahdi R. Yousefi, Lori A. Dalton
On the limits of data-driven cancer prognosis prediction. BHI (2016)
Ali Foroughi Pour, Lori A. Dalton
Multiple Sclerosis Biomarker Discovery via Bayesian Feature Selection. BCB (2016)
Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian feature selection with missing data. GlobalSIP (2016)
Lori A. Dalton, Marco Benalcázar, Marcel Brun, Edward R. Dougherty
Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes. IEEE Trans. Signal Process. 63 (6) (2015)
Ali Foroughi Pour, Lori A. Dalton
Optimal bayesian feature filtering. BCB (2015)
Edward R. Dougherty, Lori A. Dalton, Francis J. Alexander
Small data is the problem. ACSSC (2015)
Lori A. Dalton
A risk-based approach to optimal clustering under random labeled point processes. ACSSC (2015)
Lori A. Dalton, Mohammadmahdi R. Yousefi
On optimal Bayesian classification and risk estimation under multiple classes. EURASIP J. Bioinform. Syst. Biol. 2015 (2015)
Mohammadmahdi R. Yousefi, Lori A. Dalton
Optimal cancer prognosis under network uncertainty. EURASIP J. Bioinform. Syst. Biol. 2015 (2015)
Mohammadmahdi R. Yousefi, Lori A. Dalton
Optimal cancer prognosis under network uncertainty. BCB (2014)
Ali Foroughi Pour, Lori A. Dalton
Optimal Bayesian feature selection on high dimensional gene expression data. GlobalSIP (2014)
Lori A. Dalton, Edward R. Dougherty
Intrinsically Optimal Bayesian Robust Filtering. IEEE Trans. Signal Process. 62 (3) (2014)
Lori A. Dalton, Mohammadmahdi R. Yousefi
Optimal Bayesian cancer prognosis with model-constrained robust intervention. GlobalSIP (2014)
Lori A. Dalton
Optimal Bayesian feature selection. GlobalSIP (2013)
Lori A. Dalton
On the optimality of k-means clustering. GENSiPS (2013)
Edward R. Dougherty, Lori A. Dalton
Scientific knowledge is possible with small-sample classification. EURASIP J. Bioinform. Syst. Biol. 2013 (2013)
Lori A. Dalton
Optimal neyman-pearson classification under Bayesian uncertainty models. GENSiPS (2013)
Lori A. Dalton
Classifier risk analysis under Bayesian uncertainty models. ACSSC (2013)
Lori A. Dalton, Edward R. Dougherty
Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis. Pattern Recognit. 46 (5) (2013)
Lori A. Dalton
Classification with minimum expected error over an uncertainty class of Gaussian distributions. ICASSP (2013)
Lori A. Dalton, Marco Benalcázar, Marcel Brun, Edward R. Dougherty
Bayes clustering operators for known random labeled point processes. ACSSC (2013)
Lori A. Dalton
Application of the sample-conditioned MSE to non-linear classification and censored sampling. EUSIPCO (2013)
Lori A. Dalton, Edward R. Dougherty
Optimal classifiers with minimum expected error within a Bayesian framework - Part I: Discrete and Gaussian models. Pattern Recognit. 46 (5) (2013)
Lori A. Dalton, Edward R. Dougherty
Optimal classifiers within a Bayesian framework. SSP (2012)
Lori A. Dalton, Edward R. Dougherty
Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error - Part I: Representation. IEEE Trans. Signal Process. 60 (5) (2012)
Lori A. Dalton, Edward R. Dougherty
Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error - Part II: Consistency and Performance Analysis. IEEE Trans. Signal Process. 60 (5) (2012)
Lori A. Dalton, Edward R. Dougherty
Optimal mean-square-error calibration of classifier error estimators under Bayesian models. Pattern Recognit. 45 (6) (2012)
Lori A. Dalton, Edward R. Dougherty
Optimal Bayesian classification and its application to gene regulatory networks. GENSiPS (2012)
Lori A. Dalton, Edward R. Dougherty
Application of the Bayesian MMSE estimator for classification error to gene expression microarray data. Bioinform. 27 (13) (2011)
Lori A. Dalton, Edward R. Dougherty
Exact MSE performance of the Bayesian MMSE estimator for classification error. ACSCC (2011)
Lori A. Dalton, Edward R. Dougherty
Classifier error estimator performance in a Bayesian context. GENSiPS (2011)
Lori A. Dalton, Edward R. Dougherty
Bayesian Minimum Mean-Square Error Estimation for Classification Error - Part II: Linear Classification of Gaussian Models. IEEE Trans. Signal Process. 59 (1) (2011)
Lori A. Dalton, Edward R. Dougherty
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. 59 (1) (2011)
Lori A. Dalton, Edward R. Dougherty
Bayesian MMSE estimation of classification error and performance on real genomic data. GENSiPS (2010)
Lori A. Dalton, Costas N. Georghiades
A full-rate, full-diversity four-antenna quasi-orthogonal space-time block code. IEEE Trans. Wirel. Commun. 4 (2) (2005)
Lori A. Dalton, Ciji Isen
A study on high speed TCP protocols. GLOBECOM (2004)