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2020 – today
- 2020
[j20]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): 156 (2020)- [j19]Ali Foroughi Pour, Lori A. Dalton:
Optimal Bayesian Filtering for Biomarker Discovery: Performance and Robustness. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 250-263 (2020) - [i3]Ali Foroughi Pour, Lori A. Dalton:
On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations. CoRR abs/2002.00120 (2020)
2010 – 2019
- 2019
- [j18]Ali Foroughi Pour, Lori A. Dalton:
Bayesian Error Analysis for Feature Selection in Biomarker Discovery. IEEE Access 7: 127544-127563 (2019) - [i2]Ali Foroughi Pour, Lori A. Dalton:
Theory of Optimal Bayesian Feature Filtering. CoRR abs/1909.03637 (2019) - 2018
- [j17]Ali Foroughi Pour, Lori A. Dalton:
Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure. BMC Bioinform. 19-S(3): 5-19 (2018) - [j16]Lori A. Dalton:
Joint asymptotic normality of granulometric moments under multiple structuring elements. Pattern Recognit. Lett. 111: 80-86 (2018) - [c31]Ali Foroughi Pour, Lori A. Dalton:
Optimal Bayesian Feature Selection with Bounded False Discovery Rate. ACSSC 2018: 1202-1206 - [c30]Ali Foroughi Pour, Lori A. Dalton:
Biomarker Discovery via Optimal Bayesian Feature Filtering for Structured Multiclass Data. BCB 2018: 331-340 - [c29]Ali Foroughi Pour, Lori A. Dalton:
Bayesian Biomarker Discovery for RNAseq Data. BCB 2018: 603-604 - [c28]Ali Foroughi Pour, Lori A. Dalton:
Bayesian Feature Selection with Data Integration. GlobalSIP 2018: 504-508 - [i1]Lori A. Dalton, Marco E. Benalcázar, Edward R. Dougherty:
Optimal Clustering under Uncertainty. CoRR abs/1806.00672 (2018) - 2017
- [c27]Ali Foroughi Pour, Lori A. Dalton:
Integrating Prior Information with Bayesian Feature Selection. BCB 2017: 610 - [c26]Ali Foroughi Pour, Lori A. Dalton:
Heuristic Algorithms for Feature Selection under Bayesian Models with Block-diagonal Covariance Structure. BCB 2017: 758-759 - [c25]Ali Foroughi Pour, Lori A. Dalton:
Optimal Bayesian feature filtering for single-nucleotide polymorphism data. BIBM 2017: 2290-2292 - [c24]Ali Foroughi Pour, Lori A. Dalton:
Multiclass Bayesian feature selection. GlobalSIP 2017: 725-729 - [c23]Ali Foroughi Pour, Lori A. Dalton:
Robust feature selection for block covariance Bayesian models. ICASSP 2017: 2696-2700 - 2016
- [j15]Lori A. Dalton:
Optimal ROC-Based Classification and Performance Analysis under Bayesian Uncertainty Models. IEEE ACM Trans. Comput. Biol. Bioinform. 13(4): 719-729 (2016) - [c22]Ali Foroughi Pour, Lori A. Dalton:
Multiple Sclerosis Biomarker Discovery via Bayesian Feature Selection. BCB 2016: 540-541 - [c21]Mohammadmahdi R. Yousefi, Lori A. Dalton:
On the limits of data-driven cancer prognosis prediction. BHI 2016: 537-540 - [c20]Ali Foroughi Pour, Lori A. Dalton:
Optimal Bayesian feature selection with missing data. GlobalSIP 2016: 35-39 - 2015
- [j14]Mohammadmahdi R. Yousefi, Lori A. Dalton:
Optimal cancer prognosis under network uncertainty. EURASIP J. Bioinform. Syst. Biol. 2015: 1 (2015) - [j13]Lori A. Dalton, Mohammadmahdi R. Yousefi:
On optimal Bayesian classification and risk estimation under multiple classes. EURASIP J. Bioinform. Syst. Biol. 2015: 8 (2015) - [j12]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): 1605-1620 (2015) - [c19]Lori A. Dalton:
A risk-based approach to optimal clustering under random labeled point processes. ACSSC 2015: 413-417 - [c18]Edward R. Dougherty, Lori A. Dalton, Francis J. Alexander:
Small data is the problem. ACSSC 2015: 418-422 - [c17]Ali Foroughi Pour, Lori A. Dalton:
Optimal bayesian feature filtering. BCB 2015: 651-652 - 2014
- [j11]Lori A. Dalton, Edward R. Dougherty:
Intrinsically Optimal Bayesian Robust Filtering. IEEE Trans. Signal Process. 62(3): 657-670 (2014) - [c16]Mohammadmahdi R. Yousefi, Lori A. Dalton:
Optimal cancer prognosis under network uncertainty. BCB 2014: 682-683 - [c15]Lori A. Dalton, Mohammadmahdi R. Yousefi:
Optimal Bayesian cancer prognosis with model-constrained robust intervention. GlobalSIP 2014: 1382-1385 - [c14]Ali Foroughi Pour, Lori A. Dalton:
Optimal Bayesian feature selection on high dimensional gene expression data. GlobalSIP 2014: 1402-1405 - 2013
- [j10]Edward R. Dougherty, Lori A. Dalton:
Scientific knowledge is possible with small-sample classification. EURASIP J. Bioinform. Syst. Biol. 2013: 10 (2013) - [j9]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): 1288-1300 (2013) - [j8]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): 1301-1314 (2013) - [c13]Lori A. Dalton, Marco Benalcázar, Marcel Brun, Edward R. Dougherty:
Bayes clustering operators for known random labeled point processes. ACSSC 2013: 893-897 - [c12]Lori A. Dalton:
Classifier risk analysis under Bayesian uncertainty models. ACSSC 2013: 1395-1399 - [c11]Lori A. Dalton:
Application of the sample-conditioned MSE to non-linear classification and censored sampling. EUSIPCO 2013: 1-5 - [c10]Lori A. Dalton:
On the optimality of k-means clustering. GENSiPS 2013: 70-71 - [c9]Lori A. Dalton:
Optimal neyman-pearson classification under Bayesian uncertainty models. GENSiPS 2013: 90-91 - [c8]Lori A. Dalton:
Optimal Bayesian feature selection. GlobalSIP 2013: 65-68 - [c7]Lori A. Dalton:
Classification with minimum expected error over an uncertainty class of Gaussian distributions. ICASSP 2013: 3462-3466 - 2012
- [j7]Lori A. Dalton, Edward R. Dougherty:
Optimal mean-square-error calibration of classifier error estimators under Bayesian models. Pattern Recognit. 45(6): 2308-2320 (2012) - [j6]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): 2575-2587 (2012) - [j5]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): 2588-2603 (2012) - [c6]Lori A. Dalton, Edward R. Dougherty:
Optimal Bayesian classification and its application to gene regulatory networks. GENSiPS 2012: 164-167 - [c5]Lori A. Dalton, Edward R. Dougherty:
Optimal classifiers within a Bayesian framework. SSP 2012: 564-567 - 2011
- [j4]Lori A. Dalton, Edward R. Dougherty:
Application of the Bayesian MMSE estimator for classification error to gene expression microarray data. Bioinform. 27(13): 1822-1831 (2011) - [j3]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): 115-129 (2011) - [j2]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): 130-144 (2011) - [c4]Lori A. Dalton, Edward R. Dougherty:
Exact MSE performance of the Bayesian MMSE estimator for classification error. ACSCC 2011: 997-1001 - [c3]Lori A. Dalton, Edward R. Dougherty:
Classifier error estimator performance in a Bayesian context. GENSiPS 2011: 135-138 - 2010
- [c2]Lori A. Dalton, Edward R. Dougherty:
Bayesian MMSE estimation of classification error and performance on real genomic data. GENSiPS 2010: 1-4
2000 – 2009
- 2005
- [j1]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): 363-366 (2005) - 2004
- [c1]Lori A. Dalton, Ciji Isen:
A study on high speed TCP protocols. GLOBECOM 2004: 851-855
Coauthor Index
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