Lori A. Dalton

Orcid: 0000-0001-8715-5723

According to our database1, Lori A. Dalton authored at least 52 papers between 2004 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Optimal Bayesian Filtering for Biomarker Discovery: Performance and Robustness.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations.
CoRR, 2020

High dimensional model representation of log-likelihood ratio: binary classification with expression data.
BMC Bioinform., 2020

2019
Theory of Optimal Bayesian Feature Filtering.
CoRR, 2019

Bayesian Error Analysis for Feature Selection in Biomarker Discovery.
IEEE Access, 2019

2018
Joint asymptotic normality of granulometric moments under multiple structuring elements.
Pattern Recognit. Lett., 2018

Optimal Clustering under Uncertainty.
CoRR, 2018

Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure.
BMC Bioinform., 2018

Bayesian Feature Selection with Data Integration.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Bayesian Biomarker Discovery for RNAseq Data.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Biomarker Discovery via Optimal Bayesian Feature Filtering for Structured Multiclass Data.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Optimal Bayesian Feature Selection with Bounded False Discovery Rate.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Robust feature selection for block covariance Bayesian models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multiclass Bayesian feature selection.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Optimal Bayesian feature filtering for single-nucleotide polymorphism data.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Integrating Prior Information with Bayesian Feature Selection.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

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

Optimal Bayesian feature selection with missing data.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

On the limits of data-driven cancer prognosis prediction.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

Multiple Sclerosis Biomarker Discovery via Bayesian Feature Selection.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes.
IEEE Trans. Signal Process., 2015

Optimal cancer prognosis under network uncertainty.
EURASIP J. Bioinform. Syst. Biol., 2015

On optimal Bayesian classification and risk estimation under multiple classes.
EURASIP J. Bioinform. Syst. Biol., 2015

Optimal bayesian feature filtering.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Small data is the problem.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

A risk-based approach to optimal clustering under random labeled point processes.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Intrinsically Optimal Bayesian Robust Filtering.
IEEE Trans. Signal Process., 2014

Optimal Bayesian feature selection on high dimensional gene expression data.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Optimal Bayesian cancer prognosis with model-constrained robust intervention.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Optimal classifiers with minimum expected error within a Bayesian framework - Part I: Discrete and Gaussian models.
Pattern Recognit., 2013

Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis.
Pattern Recognit., 2013

Scientific knowledge is possible with small-sample classification.
EURASIP J. Bioinform. Syst. Biol., 2013

Classification with minimum expected error over an uncertainty class of Gaussian distributions.
Proceedings of the IEEE International Conference on Acoustics, 2013

Optimal Bayesian feature selection.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Optimal neyman-pearson classification under Bayesian uncertainty models.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

On the optimality of k-means clustering.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

Application of the sample-conditioned MSE to non-linear classification and censored sampling.
Proceedings of the 21st European Signal Processing Conference, 2013

Bayes clustering operators for known random labeled point processes.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Classifier risk analysis under Bayesian uncertainty models.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error - Part II: Consistency and Performance Analysis.
IEEE Trans. Signal Process., 2012

Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error - Part I: Representation.
IEEE Trans. Signal Process., 2012

Optimal mean-square-error calibration of classifier error estimators under Bayesian models.
Pattern Recognit., 2012

Optimal classifiers within a Bayesian framework.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Optimal Bayesian classification and its application to gene regulatory networks.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
Bayesian Minimum Mean-Square Error Estimation for Classification Error - Part II: Linear Classification of Gaussian Models.
IEEE Trans. Signal Process., 2011

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., 2011

Application of the Bayesian MMSE estimator for classification error to gene expression microarray data.
Bioinform., 2011

Classifier error estimator performance in a Bayesian context.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Exact MSE performance of the Bayesian MMSE estimator for classification error.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Bayesian MMSE estimation of classification error and performance on real genomic data.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010

2005
A full-rate, full-diversity four-antenna quasi-orthogonal space-time block code.
IEEE Trans. Wirel. Commun., 2005

2004
A study on high speed TCP protocols.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004


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