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ORCIDEdward R. Dougherty
Edward Russell Dougherty
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- affiliation: Texas A&M University
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2020 – today
- 2024
[j299]Xihaier Luo, Seyednami Niyakan, Patrick R. Johnstone, Sean McCorkle, Gilchan Park
, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon:
Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers Bioinform. 4 (2024)- [j298]Shahin Boluki, Siamak Zamani Dadaneh, Edward R. Dougherty, Xiaoning Qian:
Bayesian Proper Orthogonal Decomposition for Learnable Reduced-Order Models With Uncertainty Quantification. IEEE Trans. Artif. Intell. 5(3): 1162-1173 (2024) - [j297]Samira Reihanian, Edward R. Dougherty, Amin Zollanvari:
Optimal Bayesian Regression With Vector Autoregressive Data Dependency. IEEE Trans. Signal Process. 72: 1854-1864 (2024) - 2023
- [j296]Puhua Niu, Maria J. Soto, Shuai Huang, Byung-Jun Yoon, Edward R. Dougherty, Francis J. Alexander, Ian Blaby, Xiaoning Qian:
Sensitivity Analysis of Genome-Scale Metabolic Flux Prediction. J. Comput. Biol. 30(7): 751-765 (2023) - [j295]Xiaoning Qian, Byung-Jun Yoon, Raymundo Arróyave, Xiaofeng Qian, Edward R. Dougherty:
Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery. Patterns 4(11): 100863 (2023) - [j294]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal decision-making in high-throughput virtual screening pipelines. Patterns 4(11): 100875 (2023) - [i8]Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. CoRR abs/2301.01769 (2023) - 2022
- [j293]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning. Patterns 3(3): 100428 (2022) - [j292]Eunji Kim, Ivan Ivanov, Edward R. Dougherty:
Network Classification Based on Reducibility With Respect to the Stability of Canalizing Power of Genes in a Gene Regulatory Network - A Boolean Network Modeling Perspective. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 558-568 (2022) - [c138]Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. BIBM 2022: 2366-2374 - [c137]Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty, Xiaoning Qian:
Adaptive Group Testing with Mismatched Models. ICASSP 2022: 4533-4537 - 2021
- [j291]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the Multi-Objective Cost of Uncertainty. IEEE Access 9: 80351-80359 (2021) - [j290]Shahin Boluki, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian supervised domain adaptation for RNA sequencing data. Bioinform. 37(19): 3212-3219 (2021) - [j289]Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Learning for Count Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 644-655 (2021) - [c136]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty. AISTATS 2021: 3970-3978 - [c135]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Uncertainty-aware Active Learning for Optimal Bayesian Classifier. ICLR 2021 - [c134]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Efficient Active Learning for Gaussian Process Classification by Error Reduction. NeurIPS 2021: 9734-9746 - [e10]Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. IEEE 2021, ISBN 978-1-6654-0126-5 [contents] - [i7]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning. CoRR abs/2109.02150 (2021) - [i6]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal Decision Making in High-Throughput Virtual Screening Pipelines. CoRR abs/2109.11683 (2021) - 2020
- [j288]Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto:
Boolean Kalman filter and smoother under model uncertainty. Autom. 111 (2020) - [j287]Ulisses M. Braga-Neto, Edward R. Dougherty:
Machine Learning Requires Probability and Statistics [Perspectives]. IEEE Signal Process. Mag. 37(4): 118-122 (2020) - [j286]Guang Zhao, Xiaoning Qian, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty:
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems. IEEE Trans. Signal Process. 68: 3849-3859 (2020) - [i5]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the multi-objective cost of uncertainty. CoRR abs/2010.04653 (2020)
2010 – 2019
- 2019
- [j285]Shahin Boluki, Xiaoning Qian, Edward R. Dougherty:
Experimental Design via Generalized Mean Objective Cost of Uncertainty. IEEE Access 7: 2223-2230 (2019) - [j284]Eunji Kim, Ivan Ivanov, Edward R. Dougherty:
Quantifying the notions of canalizing and master genes in a gene regulatory network - a Boolean network modeling perspective. Bioinform. 35(4): 643-649 (2019) - [j283]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal clustering with missing values. BMC Bioinform. 20-S(12): 321:1-321:10 (2019) - [j282]Alireza Karbalayghareh, Ulisses M. Braga-Neto, Edward R. Dougherty:
Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 193-207 (2019) - [j281]Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 524-537 (2019) - [j280]Amin Zollanvari, Edward R. Dougherty:
Optimal Bayesian Classification With Vector Autoregressive Data Dependency. IEEE Trans. Signal Process. 67(12): 3073-3086 (2019) - [i4]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal Clustering with Missing Values. CoRR abs/1902.09694 (2019) - 2018
- [j279]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
A Bayesian robust Kalman smoothing framework for state-space models with uncertain noise statistics. EURASIP J. Adv. Signal Process. 2018: 55 (2018) - [j278]Esmaeil Atashpaz-Gargari, Marcelo da Silva Reis, Ulisses M. Braga-Neto, Junior Barrera, Edward R. Dougherty:
A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognit. 73: 172-188 (2018) - [j277]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
Intrinsically Bayesian robust Karhunen-Loève compression. Signal Process. 144: 311-322 (2018) - [j276]Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Regression. IEEE Signal Process. Lett. 25(11): 1655-1659 (2018) - [j275]Wasiu Opeyemi Oduola, Xiangfang Li, Chang Duan, Lijun Qian, Edward R. Dougherty:
Sequential Therapeutic Response Modeling for Tumor Treatment Using Computational Hybrid Control Systems Approach. IEEE Trans. Biomed. Eng. 65(4): 866-874 (2018) - [j274]Alireza Karbalayghareh, Ulisses M. Braga-Neto, Jianping Hua, Edward Russell Dougherty:
Classification of State Trajectories in Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 68-82 (2018) - [j273]Daniel N. Mohsenizadeh, Roozbeh Dehghannasiri, Edward R. Dougherty:
Optimal Objective-Based Experimental Design for Uncertain Dynamical Gene Networks with Experimental Error. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 218-230 (2018) - [j272]Jason M. Knight, Ivan Ivanov, Karen Triff, Robert S. Chapkin, Edward R. Dougherty:
Detecting Multivariate Gene Interactions in RNA-Seq Data Using Optimal Bayesian Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 484-493 (2018) - [j271]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Kalman Filtering With Prior Update. IEEE Trans. Signal Process. 66(8): 1982-1996 (2018) - [j270]Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Learning. IEEE Trans. Signal Process. 66(14): 3724-3739 (2018) - [j269]Siamak Zamani Dadaneh, Edward R. Dougherty, Xiaoning Qian:
Optimal Bayesian Classification With Missing Values. IEEE Trans. Signal Process. 66(16): 4182-4192 (2018) - [c133]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
Robust Smoothing for State-Space Models with Unknown Noise Statistics. ACSSC 2018: 1024-1028 - [c132]Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty:
Optimal Clustering with Missing Values. BCB 2018: 593-594 - [c131]Ehsan Hajiramezanali, Mahdi Imani, Ulisses M. Braga-Neto, Xiaoning Qian, Edward R. Dougherty:
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. BCB 2018: 596-597 - [i3]Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Transfer Learning. CoRR abs/1801.00857 (2018) - [i2]Mahdi Imani, Roozbeh Dehghannasiri, Ulisses M. Braga-Neto, Edward R. Dougherty:
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty. CoRR abs/1805.12253 (2018) - [i1]Lori A. Dalton, Marco E. Benalcázar, Edward R. Dougherty:
Optimal Clustering under Uncertainty. CoRR abs/1806.00672 (2018) - 2017
- [j268]Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors. BMC Bioinform. 18(14): 61-80 (2017) - [j267]Xiangfang Li, Oluwaseyi Omotere, Lijun Qian, Edward R. Dougherty:
Review of stochastic hybrid systems with applications in biological systems modeling and analysis. EURASIP J. Bioinform. Syst. Biol. 2017: 8 (2017) - [j266]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
Optimal experimental design in the context of canonical expansions. IET Signal Process. 11(8): 942-951 (2017) - [c130]Shuilian Xie, Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto:
Nonstationary linear discriminant analysis. ACSSC 2017: 161-165 - [c129]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Bayesian Kalman filtering in the presence of unknown noise statistics using factor graphs. ACSSC 2017: 166-170 - [c128]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
An objective-based experimental design framework for signal processing in the context of canonical expansions. ACSSC 2017: 789-793 - [c127]Alireza Karbalayghareh, Ulisses M. Braga-Neto, Edward R. Dougherty:
Intrinsically Bayesian Robust Classifier for Single-Cell Gene Expression Time Series in Gene Regulatory Networks. BCB 2017: 766-767 - [c126]Alireza Karbalayghareh, Ulisses M. Braga-Neto, Edward R. Dougherty:
Classification of Gaussian trajectories with missing data in Boolean gene regulatory networks. ICASSP 2017: 1078-1082 - 2016
- [j265]Amin Zollanvari, Edward R. Dougherty:
Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations. EURASIP J. Bioinform. Syst. Biol. 2016: 2 (2016) - [j264]Artyom M. Grigoryan, Edward R. Dougherty, Sos S. Agaian:
Optimal Wiener and homomorphic filtration: Review. Signal Process. 121: 111-138 (2016) - [j263]Xiaoning Qian, Edward R. Dougherty:
Bayesian Regression With Network Prior: Optimal Bayesian Filtering Perspective. IEEE Trans. Signal Process. 64(23): 6243-6253 (2016) - [c125]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Edward R. Dougherty:
A Bayesian framework for robust Kalman filtering under uncertain noise statistics. ACSSC 2016: 1545-1549 - [c124]Eunji Kim, Ivan Ivanov, Jianping Hua, Robert S. Chapkin, Edward R. Dougherty:
Model-based study of the Effectiveness of Reporting Lists of Small Feature Sets using RNA-Seq Data. BCB 2016: 470-471 - [c123]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Inference of Nonlinear ODE-Based Gene Regulatory Networks via Intrinsically Bayesian Robust Kalman Filtering. BCB 2016: 542-543 - [c122]Wasiu Opeyemi Oduola, Xiangfang Li, Chang Duan, Lijun Qian, Fen Wu, Edward R. Dougherty:
Analysis and control of genetic regulatory systems with switched drug inputs. BHI 2016: 533-536 - [c121]Daniel N. Mohsenizadeh, Roozbeh Dehghannasiri, Edward R. Dougherty:
Optimal dynamics uncertainty reduction in gene networks in the presence of experimental error. BHI 2016: 581-582 - [c120]Roozbeh Dehghannasiri, Xiaoning Qian, Edward R. Dougherty:
Optimal experimental design in canonical expansions with applications to signal compression. GlobalSIP 2016: 94-98 - [p1]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Inference of gene regulatory networks: validation and uncertainty. Big Data over Networks 2016: 337-364 - 2015
- [j262]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC Bioinform. 16: 410:1 (2015) - [j261]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC Bioinform. 16(S13): S2 (2015) - [j260]Daniel N. Mohsenizadeh, Jianping Hua, Michael L. Bittner, Edward R. Dougherty:
Dynamical modeling of uncertain interaction-based genomic networks. BMC Bioinform. 16(S13): S3 (2015) - [j259]Ariana Broumand, Mohammad Shahrokh Esfahani, Byung-Jun Yoon, Edward R. Dougherty:
Discrete optimal Bayesian classification with error-conditioned sequential sampling. Pattern Recognit. 48(11): 3766-3782 (2015) - [j258]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 938-950 (2015) - [j257]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Utilization of Gene/Protein Signaling Pathways in Discrete Phenotype Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1304-1321 (2015) - [j256]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) - [j255]Amin Zollanvari, Edward R. Dougherty:
Generalized Consistent Error Estimator of Linear Discriminant Analysis. IEEE Trans. Signal Process. 63(11): 2804-2814 (2015) - [c119]Edward R. Dougherty, Lori A. Dalton, Francis J. Alexander:
Small data is the problem. ACSSC 2015: 418-422 - [c118]Daniel N. Mohsenizadeh, Roozbeh Dehghannasiri, Edward R. Dougherty:
An experimental design to reduce dynamics uncertainty in genomic networks. BCB 2015: 644-645 - 2014
- [j254]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Effect of separate sampling on classification accuracy. Bioinform. 30(2): 242-250 (2014) - [j253]Ulisses M. Braga-Neto, Amin Zollanvari, Edward R. Dougherty:
Cross-validation under separate sampling: strong bias and how to correct it. Bioinform. 30(23): 3349-3355 (2014) - [j252]Jason M. Knight, Ivan Ivanov, Edward R. Dougherty:
MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification. BMC Bioinform. 15: 401 (2014) - [j251]Fang Jin, Wei Wang, Liang Zhao, Edward R. Dougherty, Yang Cao, Chang-Tien Lu, Naren Ramakrishnan:
Misinformation Propagation in the Age of Twitter. Computer 47(12): 90-94 (2014) - [j250]Mohammadmahdi R. Yousefi, Edward R. Dougherty:
A comparison study of optimal and suboptimal intervention policies for gene regulatory networks in the presence of uncertainty. EURASIP J. Bioinform. Syst. Biol. 2014: 6 (2014) - [j249]Hongjia Ouyang, Jie Fang, Liangzhong Shen, Edward R. Dougherty, Wenbin Liu:
Learning restricted Boolean network model by time-series data. EURASIP J. Bioinform. Syst. Biol. 2014: 10 (2014) - [j248]Jie Fang, Hongjia Ouyang, Liangzhong Shen, Edward R. Dougherty, Wenbin Liu:
Using the minimum description length principle to reduce the rate of false positives of best-fit algorithms. EURASIP J. Bioinform. Syst. Biol. 2014: 13 (2014) - [j247]Thang T. Vu, Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty:
Unbiased bootstrap error estimation for linear discriminant analysis. EURASIP J. Bioinform. Syst. Biol. 2014: 15 (2014) - [j246]Esmaeil Atashpaz-Gargari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Modeling and systematic analysis of biomarker validation using selected reaction monitoring. EURASIP J. Bioinform. Syst. Biol. 2014: 17 (2014) - [j245]Amin Zollanvari, Edward R. Dougherty:
Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model. Pattern Recognit. 47(6): 2178-2192 (2014) - [j244]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Incorporation of Biological PathwayKnowledge in the Construction of Priorsfor Optimal Bayesian Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 202-218 (2014) - [j243]Lori A. Dalton, Edward R. Dougherty:
Intrinsically Optimal Bayesian Robust Filtering. IEEE Trans. Signal Process. 62(3): 657-670 (2014) - [c117]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Computationally efficient experimental design strategy for reducing gene network uncertainty. GlobalSIP 2014: 1380-1381 - [c116]Xiangfang Lindsey Li, Sunday Ogedengbe, Lijun Qian, Edward R. Dougherty:
Sensitivity analysis for drug effect study: An NF-κB pathway example. GlobalSIP 2014: 1418-1421 - [c115]Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan:
Modeling mass protest adoption in social network communities using geometric brownian motion. KDD 2014: 1660-1669 - 2013
- [j242]Kwadwo Agyepong, Fang-Han Hsu, Edward R. Dougherty, Erchin Serpedin:
Spectral Analysis on Time-Course Expression Data: Detecting Periodic Genes Using a Real-Valued Iterative Adaptive Approach. Adv. Bioinformatics 2013: 171530:1-171530:10 (2013) - [j241]Mohammadmahdi R. Yousefi, Edward R. Dougherty:
Intervention in gene regulatory networks with maximal phenotype alteration. Bioinform. 29(14): 1758-1767 (2013) - [j240]Noushin Ghaffari, Mohammadmahdi R. Yousefi, Charles D. Johnson, Ivan Ivanov, Edward R. Dougherty:
Modeling the Next Generation Sequencing sample processing pipeline for the purposes of classification. BMC Bioinform. 14: 307 (2013) - [j239]Edward R. Dougherty, Lori A. Dalton:
Scientific knowledge is possible with small-sample classification. EURASIP J. Bioinform. Syst. Biol. 2013: 10 (2013) - [j238]Edward R. Dougherty:
On the impoverishment of scientific education. EURASIP J. Bioinform. Syst. Biol. 2013: 15 (2013) - [j237]Blaise Hanczar, Edward R. Dougherty:
The reliability of estimated confidence intervals for classification error rates when only a single sample is available. Pattern Recognit. 46(3): 1067-1077 (2013) - [j236]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) - [j235]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) - [j234]Esmaeil Atashpaz-Gargari, Chao Sima, Ulisses M. Braga-Neto, Edward R. Dougherty:
Relationship between the accuracy of classifier error estimation and complexity of decision boundary. Pattern Recognit. 46(5): 1315-1322 (2013) - [j233]Mohammad Shahrokh Esfahani, Jason M. Knight, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty:
Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification. Pattern Recognit. 46(10): 2783-2797 (2013) - [j232]Amin Zollanvari, Jianping Hua, Edward R. Dougherty:
Analytical study of performance of linear discriminant analysis in stochastic settings. Pattern Recognit. 46(11): 3017-3029 (2013) - [j231]Fang-Han Hsu, Edward R. Dougherty, Yidong Chen, Erchin Serpedin:
Estimating Conditional Probabilities for the Detection of Unfavorable Copy Number Alterations in a Targeted Therapy. IEEE Trans. Biomed. Eng. 60(10): 2933-2942 (2013) - [j230]Mohammadmahdi R. Yousefi, Aniruddha Datta, Edward R. Dougherty:
Optimal Intervention in Markovian Gene Regulatory Networks With Random-Length Therapeutic Response to Antitumor Drug. IEEE Trans. Biomed. Eng. 60(12): 3542-3552 (2013) - [j229]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems. IEEE Trans. Signal Process. 61(9): 2256-2266 (2013) - [c114]Amin Zollanvari, Edward R. Dougherty:
Random matrix theory in pattern classification: An application to error estimation. ACSSC 2013: 884-887 - [c113]Lori A. Dalton, Marco Benalcázar, Marcel Brun, Edward R. Dougherty:
Bayes clustering operators for known random labeled point processes. ACSSC 2013: 893-897 - [c112]Mohammadmahdi R. Yousefi, Edward R. Dougherty:
Bayesian optimal control of Markovian genetic regulatory networks. ACSSC 2013: 980-984 - [c111]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Sample-based prior probability construction using biological pathway knowledge. ACSSC 2013: 1405-1409 - [c110]Xiangfang Li, Lijun Qian, Michael L. Bittner, Edward R. Dougherty: