Lori A. Dalton

54 papers B 1Misc 7Journal 23Unranked 23

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