Ali Foroughi Pour

According to our database, Ali Foroughi Pour authored at least 19 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Optimal Bayesian Filtering for Biomarker Discovery: Performance and Robustness.

Ali Foroughi Pour, Lori A. Dalton

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

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

Ali Foroughi Pour, Lori A. Dalton

CoRR, 2020

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

The effect of blurring on lung cancer subtype classification accuracy of convolutional neural networks.

Tejal Nair, Ali Foroughi Pour, Jeffrey H. Chuang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Theory of Optimal Bayesian Feature Filtering.

Ali Foroughi Pour, Lori A. Dalton

CoRR, 2019

Bayesian Error Analysis for Feature Selection in Biomarker Discovery.

Ali Foroughi Pour, Lori A. Dalton

IEEE Access, 2019

2018

Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structure.

Ali Foroughi Pour, Lori A. Dalton

BMC Bioinform., 2018

Bayesian Feature Selection with Data Integration.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Bayesian Biomarker Discovery for RNAseq Data.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Biomarker Discovery via Optimal Bayesian Feature Filtering for Structured Multiclass Data.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Optimal Bayesian Feature Selection with Bounded False Discovery Rate.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Robust feature selection for block covariance Bayesian models.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multiclass Bayesian feature selection.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Optimal Bayesian feature filtering for single-nucleotide polymorphism data.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Integrating Prior Information with Bayesian Feature Selection.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Optimal Bayesian feature selection with missing data.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Multiple Sclerosis Biomarker Discovery via Bayesian Feature Selection.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

Optimal bayesian feature filtering.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014

Optimal Bayesian feature selection on high dimensional gene expression data.

Ali Foroughi Pour, Lori A. Dalton

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014