Year |
Citation |
Score |
2019 |
Wang M, Barbu A. Are screening methods useful in feature selection? An empirical study. Plos One. 14: e0220842. PMID 31509541 DOI: 10.1371/Journal.Pone.0220842 |
0.351 |
|
2019 |
Inkoom S, Sobanjo J, Barbu A, Niu X. Prediction of the crack condition of highway pavements using machine learning models Structure and Infrastructure Engineering. 15: 940-953. DOI: 10.1080/15732479.2019.1581230 |
0.326 |
|
2018 |
Barbu A, Lu L, Roth H, Seff A, Summers RM. An analysis of robust cost functions for CNN in computer-aided diagnosis Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization. 6: 253-258. DOI: 10.1080/21681163.2016.1138240 |
0.314 |
|
2016 |
Barbu A, She Y, Ding L, Gramajo G. Feature Selection with Annealing for Computer Vision and Big Data Learning. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 27019473 DOI: 10.1109/Tpami.2016.2544315 |
0.397 |
|
2015 |
Barbu A, Wu T, Wu YN. Learning mixtures of bernoulli templates by two-round EM with performance guarantee Electronic Journal of Statistics. 8: 3004-3030. DOI: 10.1214/14-Ejs981 |
0.538 |
|
2014 |
Barbu A. Multi-Path Marginal Space Learning for Object Detection Academic Press Library in Signal Processing. 4: 271-291. DOI: 10.1016/B978-0-12-396501-1.00010-8 |
0.379 |
|
2014 |
Coyle EJ, Roberts RG, Collins EG, Barbu A. Synthetic data generation for classification via uni-modal cluster interpolation Autonomous Robots. 37: 27-45. DOI: 10.1007/S10514-013-9373-9 |
0.328 |
|
2013 |
Barbu A. Hierarchical object parsing from structured noisy point clouds Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1649-1659. PMID 23681993 DOI: 10.1109/Tpami.2012.262 |
0.374 |
|
2013 |
Zhang K, Collins EG, Barbu A. An efficient stochastic clustering auction for heterogeneous robotic collaborative teams Journal of Intelligent and Robotic Systems: Theory and Applications. 72: 541-558. DOI: 10.1007/S10846-012-9800-8 |
0.325 |
|
2010 |
Bunea F, Tsybakov AB, Wegkamp MH, Barbu A. SPADES and mixture models Annals of Statistics. 38: 2525-2558. DOI: 10.1214/09-Aos790 |
0.312 |
|
2009 |
Barbu A. Training an active random field for real-time image denoising. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 18: 2451-62. PMID 19635701 DOI: 10.1109/TIP.2009.2028254 |
0.304 |
|
2009 |
Barbu A. Training an active random field for real-time image denoising Ieee Transactions On Image Processing. 18: 2451-2462. DOI: 10.1109/Tip.2009.2028254 |
0.396 |
|
2008 |
Zheng Y, Barbu A, Georgescu B, Scheuering M, Comaniciu D. Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features. Ieee Transactions On Medical Imaging. 27: 1668-81. PMID 18955181 DOI: 10.1109/Tmi.2008.2004421 |
0.338 |
|
2007 |
Barbu A, Zhu SC. Generalizing Swendsen-Wang for image analysis Journal of Computational and Graphical Statistics. 16: 877-900. DOI: 10.1198/106186007X255144 |
0.512 |
|
2006 |
Barbu A, Zhu SC. On the relationship between image and motion segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3667: 51-63. DOI: 10.1007/11676959_5 |
0.5 |
|
2005 |
Barbu A, Zhu SC. Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 1239-1253. PMID 16119263 DOI: 10.1109/Tpami.2005.161 |
0.518 |
|
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