| Year |
Citation |
Score |
| 2023 |
Pedigo BD, Winding M, Priebe CE, Vogelstein JT. Bisected graph matching improves automated pairing of bilaterally homologous neurons from connectomes. Network Neuroscience (Cambridge, Mass.). 7: 522-538. PMID 37409218 DOI: 10.1162/netn_a_00287 |
0.619 |
|
| 2023 |
Pedigo BD, Powell M, Bridgeford EW, Winding M, Priebe CE, Vogelstein JT. Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome. Elife. 12. PMID 36976249 DOI: 10.7554/eLife.83739 |
0.569 |
|
| 2023 |
Winding M, Pedigo BD, Barnes CL, Patsolic HG, Park Y, Kazimiers T, Fushiki A, Andrade IV, Khandelwal A, Valdes-Aleman J, Li F, Randel N, Barsotti E, Correia A, Fetter RD, ... ... Priebe CE, et al. The connectome of an insect brain. Science (New York, N.Y.). 379: eadd9330. PMID 36893230 DOI: 10.1126/science.add9330 |
0.528 |
|
| 2021 |
Arroyo J, Priebe CE, Lyzinski V. Graph Matching between Bipartite and Unipartite Networks: to Collapse, or not to Collapse, that is the Question. Ieee Transactions On Network Science and Engineering. 8: 3019-3033. PMID 35224127 DOI: 10.1109/tnse.2021.3086508 |
0.306 |
|
| 2021 |
Mehta K, Goldin RF, Marchette D, Vogelstein JT, Priebe CE, Ascoli GA. Neuronal classification from network connectivity via adjacency spectral embedding. Network Neuroscience (Cambridge, Mass.). 5: 689-710. PMID 34746623 DOI: 10.1162/netn_a_00195 |
0.604 |
|
| 2021 |
Arroyo J, Athreya A, Cape J, Chen G, Priebe CE, Vogelstein JT. Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace. Journal of Machine Learning Research : Jmlr. 22: 1-49. PMID 34650343 |
0.645 |
|
| 2021 |
Bridgeford EW, Wang S, Wang Z, Xu T, Craddock C, Dey J, Kiar G, Gray-Roncal W, Colantuoni C, Douville C, Noble S, Priebe CE, Caffo B, Milham M, Zuo XN, et al. Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. Plos Computational Biology. 17: e1009279. PMID 34529652 DOI: 10.1371/journal.pcbi.1009279 |
0.588 |
|
| 2020 |
Wang N, Anderson RJ, Ashbrook DG, Gopalakrishnan V, Park Y, Priebe CE, Qi Y, Laoprasert R, Vogelstein JT, Williams RW, Johnson GA. Variability and Heritability of Mouse Brain Structure: Microscopic MRI Atlases and Connectomes for Diverse Strains. Neuroimage. 117274. PMID 32818613 DOI: 10.1016/J.Neuroimage.2020.117274 |
0.577 |
|
| 2020 |
Shen C, Chen L, Dong Y, Priebe CE. Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption Ieee Transactions On Information Theory. 66: 5061-5071. DOI: 10.1109/Tit.2020.2981309 |
0.386 |
|
| 2020 |
Patsolic HG, Park Y, Lyzinski V, Priebe CE. Vertex nomination via seeded graph matching Statistical Analysis and Data Mining: the Asa Data Science Journal. 13: 229-244. DOI: 10.1002/Sam.11454 |
0.364 |
|
| 2019 |
Wang S, Arroyo J, Vogelstein JT, Priebe CE. Joint Embedding of Graphs. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 31675314 DOI: 10.1109/Tpami.2019.2948619 |
0.675 |
|
| 2019 |
Vogelstein JT, Bridgeford EW, Pedigo BD, Chung J, Levin K, Mensh B, Priebe CE. Connectal coding: discovering the structures linking cognitive phenotypes to individual histories. Current Opinion in Neurobiology. 55: 199-212. PMID 31102987 DOI: 10.1016/J.Conb.2019.04.005 |
0.568 |
|
| 2019 |
Sussman D, Park Y, Priebe CE, Lyzinski V. Matched Filters for Noisy Induced Subgraph Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 31059426 DOI: 10.1109/Tpami.2019.2914651 |
0.413 |
|
| 2019 |
Priebe CE, Park Y, Vogelstein JT, Conroy JM, Lyzinski V, Tang M, Athreya A, Cape J, Bridgeford E. On a two-truths phenomenon in spectral graph clustering. Proceedings of the National Academy of Sciences of the United States of America. PMID 30850525 DOI: 10.1073/Pnas.1814462116 |
0.611 |
|
| 2019 |
Vogelstein JT, Bridgeford EW, Wang Q, Priebe CE, Maggioni M, Shen C. Discovering and deciphering relationships across disparate data modalities. Elife. 8. PMID 30644820 DOI: 10.7554/Elife.41690 |
0.643 |
|
| 2019 |
Cape J, Tang M, Priebe CE. The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics The Annals of Statistics. 47: 2405-2439. DOI: 10.1214/18-Aos1752 |
0.308 |
|
| 2019 |
Lee Y, Shen C, Priebe CE, Vogelstein JT. Network dependence testing via diffusion maps and distance-based correlations Biometrika. 106: 857-873. DOI: 10.1093/Biomet/Asz045 |
0.63 |
|
| 2019 |
Cape J, Tang M, Priebe CE. Signal-plus-noise matrix models: eigenvector deviations and fluctuations Biometrika. 106: 243-250. DOI: 10.1093/Biomet/Asy070 |
0.332 |
|
| 2019 |
Shen C, Priebe CE, Vogelstein JT. From Distance Correlation to Multiscale Graph Correlation Journal of the American Statistical Association. 115: 280-291. DOI: 10.1080/01621459.2018.1543125 |
0.619 |
|
| 2019 |
Cape J, Tang M, Priebe CE. On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs Network Science. 7: 269-291. DOI: 10.1017/Nws.2019.23 |
0.415 |
|
| 2019 |
Fishkind DE, Meng L, Sun A, Priebe CE, Lyzinski V. Alignment strength and correlation for graphs Pattern Recognition Letters. 125: 295-302. DOI: 10.1016/J.Patrec.2019.05.008 |
0.397 |
|
| 2019 |
Fishkind DE, Adali S, Patsolic HG, Meng L, Singh D, Lyzinski V, Priebe CE. Seeded graph matching Pattern Recognition. 87: 203-215. DOI: 10.1016/J.Patcog.2018.09.014 |
0.399 |
|
| 2018 |
Tang R, Ketcha M, Badea A, Calabrese ED, Margulies DS, Vogelstein JT, Priebe CE, Sussman DL. Connectome Smoothing via Low-rank Approximations. Ieee Transactions On Medical Imaging. PMID 30530318 DOI: 10.1109/Tmi.2018.2885968 |
0.646 |
|
| 2018 |
Rosen MA, Dietz AS, Lee N, Wang IJ, Markowitz J, Wyskiel RM, Yang T, Priebe CE, Sapirstein A, Gurses AP, Pronovost PJ. Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion. Plos One. 13: e0204819. PMID 30312326 DOI: 10.1371/Journal.Pone.0204819 |
0.312 |
|
| 2018 |
Vogelstein JT, Bridgeford EW, Wang Q, Priebe CE, Maggioni M, Shen C. Author response: Discovering and deciphering relationships across disparate data modalities Elife. DOI: 10.7554/Elife.41690.030 |
0.555 |
|
| 2018 |
Tang M, Priebe CE. Limit theorems for eigenvectors of the normalized Laplacian for random graphs The Annals of Statistics. 46: 2360-2415. DOI: 10.1214/17-Aos1623 |
0.382 |
|
| 2018 |
Zheng D, Mhembere D, Vogelstein JT, Priebe CE, Burns R. FlashR Acm Sigplan Notices. 53: 183-194. DOI: 10.1145/3200691.3178501 |
0.537 |
|
| 2017 |
Tang M, Athreya A, Sussman DL, Lyzinski V, Priebe CE. A nonparametric two-sample hypothesis testing problem for random graphs Bernoulli. 23: 1599-1630. DOI: 10.3150/15-Bej789 |
0.365 |
|
| 2017 |
Cape J, Tang M, Priebe CE. The Kato–Temple inequality and eigenvalue concentration with applications to graph inference Electronic Journal of Statistics. 11: 3954-3978. DOI: 10.1214/17-Ejs1328 |
0.385 |
|
| 2017 |
Zheng D, Mhembere D, Lyzinski V, Vogelstein JT, Priebe CE, Burns R. Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs Ieee Transactions On Parallel and Distributed Systems. 28: 1470-1483. DOI: 10.1109/Tpds.2016.2618791 |
0.584 |
|
| 2017 |
Lyzinski V, Tang M, Athreya A, Park Y, Priebe CE. Community Detection and Classification in Hierarchical Stochastic Blockmodels Ieee Transactions On Network Science and Engineering. 4: 13-26. DOI: 10.1109/Tnse.2016.2634322 |
0.384 |
|
| 2017 |
Lyzinski V, Park Y, Priebe CE, Trosset M. Fast Embedding for JOFC Using the Raw Stress Criterion Journal of Computational and Graphical Statistics. 26: 786-802. DOI: 10.1080/10618600.2017.1321551 |
0.301 |
|
| 2017 |
Tang M, Athreya A, Sussman DL, Lyzinski V, Park Y, Priebe CE. A Semiparametric Two-Sample Hypothesis Testing Problem for Random Graphs Journal of Computational and Graphical Statistics. 26: 344-354. DOI: 10.1080/10618600.2016.1193505 |
0.416 |
|
| 2017 |
Yoder J, Priebe CE. Semi-supervised k-means++ Journal of Statistical Computation and Simulation. 87: 2597-2608. DOI: 10.1080/00949655.2017.1327588 |
0.304 |
|
| 2017 |
Shen C, Vogelstein JT, Priebe CE. Manifold matching using shortest-path distance and joint neighborhood selection Pattern Recognition Letters. 92: 41-48. DOI: 10.1016/J.Patrec.2017.04.005 |
0.666 |
|
| 2016 |
Lee NH, Tang R, Priebe CE, Rosen M. A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 2345-2358. PMID 27824580 DOI: 10.1109/Tpami.2016.2522443 |
0.317 |
|
| 2016 |
Chen L, Vogelstein JT, Lyzinski V, Priebe CE. A joint graph inference case study: the C. elegans chemical and electrical connectomes. Worm. 5: e1142041. PMID 27386164 DOI: 10.1080/21624054.2016.1142041 |
0.607 |
|
| 2016 |
Lyzinski V, Fishkind DE, Fiori M, Vogelstein JT, Priebe CE, Sapiro G. Graph Matching: Relax at Your Own Risk. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 60-73. PMID 26656578 DOI: 10.1109/Tpami.2015.2424894 |
0.655 |
|
| 2016 |
Kiar G, Roncal WG, Mehmbere D, Bridgeford E, Wang S, Priebe CE, Burns R, Vogelstein JT. GruteDB: an optimized open-source distributed DTI pipeline estimates brain graphs from >5,000 publicly-available scans enabling mega-analysis F1000research. 5. DOI: 10.7490/F1000Research.1113325.1 |
0.632 |
|
| 2016 |
Megarry W, Cooney G, Comer D, Priebe C. Posterior Probability Modeling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands Remote Sensing. 8: 529. DOI: 10.3390/Rs8060529 |
0.359 |
|
| 2016 |
Suwan S, Lee DS, Tang R, Sussman DL, Tang M, Priebe CE. Empirical Bayes estimation for the stochastic blockmodel Electronic Journal of Statistics. 10: 761-782. DOI: 10.1214/16-Ejs1115 |
0.416 |
|
| 2016 |
Adali S, Priebe CE. Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities Journal of Classification. 33: 485-506. DOI: 10.1007/S00357-016-9214-6 |
0.31 |
|
| 2016 |
Fishkind DE, Shen C, Park Y, Priebe CE. On the Incommensurability Phenomenon Journal of Classification. 1-25. DOI: 10.1007/S00357-016-9203-9 |
0.341 |
|
| 2015 |
Chen L, Shen C, Vogelstein J, Priebe CE. Robust Vertex Classification. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 26340770 DOI: 10.1109/Tpami.2015.2456913 |
0.697 |
|
| 2015 |
Gray Roncal WR, Kleissas DM, Vogelstein JT, Manavalan P, Lillaney K, Pekala M, Burns R, Vogelstein RJ, Priebe CE, Chevillet MA, Hager GD. An automated images-to-graphs framework for high resolution connectomics. Frontiers in Neuroinformatics. 9: 20. PMID 26321942 DOI: 10.3389/Fninf.2015.00020 |
0.641 |
|
| 2015 |
Kasthuri N, Hayworth KJ, Berger DR, Schalek RL, Conchello JA, Knowles-Barley S, Lee D, Vázquez-Reina A, Kaynig V, Jones TR, Roberts M, Morgan JL, Tapia JC, Seung HS, Roncal WG, ... ... Priebe CE, et al. Saturated Reconstruction of a Volume of Neocortex. Cell. 162: 648-61. PMID 26232230 DOI: 10.1016/J.Cell.2015.06.054 |
0.565 |
|
| 2015 |
Vogelstein JT, Conroy JM, Lyzinski V, Podrazik LJ, Kratzer SG, Harley ET, Fishkind DE, Vogelstein RJ, Priebe CE. Fast approximate quadratic programming for graph matching. Plos One. 10: e0121002. PMID 25886624 DOI: 10.1371/Journal.Pone.0121002 |
0.655 |
|
| 2015 |
Rosen MA, Dietz AS, Yang T, Priebe CE, Pronovost PJ. An integrative framework for sensor-based measurement of teamwork in healthcare. Journal of the American Medical Informatics Association : Jamia. 22: 11-8. PMID 25053579 DOI: 10.1136/Amiajnl-2013-002606 |
0.362 |
|
| 2015 |
Fishkind DE, Lyzinski V, Pao H, Chen L, Priebe CE. Vertex nomination schemes for membership prediction Annals of Applied Statistics. 9: 1510-1532. DOI: 10.1214/15-Aoas834 |
0.344 |
|
| 2015 |
Priebe CE, Sussman DL, Tang M, Vogelstein JT. Statistical Inference on Errorfully Observed Graphs Journal of Computational and Graphical Statistics. 24: 930-953. DOI: 10.1080/10618600.2014.951049 |
0.652 |
|
| 2015 |
Lyzinski V, Sussman DL, Fishkind DE, Pao H, Chen L, Vogelstein JT, Park Y, Priebe CE. Spectral clustering for divide-and-conquer graph matching Parallel Computing. 47: 70-87. DOI: 10.1016/j.parco.2015.03.004 |
0.577 |
|
| 2015 |
Kasthuri N, Hayworth KJ, Berger DR, Schalek RL, Conchello JA, Knowles-Barley S, Lee D, Vázquez-Reina A, Kaynig V, Jones TR, Roberts M, Morgan JL, Tapia JC, Seung HS, Roncal WG, ... ... Priebe CE, et al. Saturated Reconstruction of a Volume of Neocortex Cell. 162: 648-661. DOI: 10.1016/j.cell.2015.06.054 |
0.522 |
|
| 2015 |
Vogelstein JT, Priebe CE. Shuffled Graph Classification: Theory and Connectome Applications Journal of Classification. 32: 3-20. DOI: 10.1007/S00357-015-9170-6 |
0.686 |
|
| 2015 |
Suwan S, Lee DS, Priebe CE. Bayesian Vertex Nomination Using Content and Context Wiley Interdisciplinary Reviews: Computational Statistics. 7: 400-416. DOI: 10.1002/Wics.1365 |
0.409 |
|
| 2015 |
Lyzinski V, Fishkind DE, Priebe CE. Seeded graph matching for correlated Erdo″s-Rényi graphs Journal of Machine Learning Research. 15: 3513-3540. |
0.302 |
|
| 2015 |
Marchette DJ, Choi SY, Rukhin A, Priebe CE. Neighborhood homogeneous labelings of graphs Journal of Combinatorial Mathematics and Combinatorial Computing. 93: 201-220. |
0.603 |
|
| 2014 |
Vogelstein JT, Park Y, Ohyama T, Kerr RA, Truman JW, Priebe CE, Zlatic M. Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning. Science (New York, N.Y.). 344: 386-92. PMID 24674869 DOI: 10.1126/Science.1250298 |
0.566 |
|
| 2014 |
Sussman DL, Tang M, Priebe CE. Consistent latent position estimation and vertex classification for random dot product graphs. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 48-57. PMID 24231865 DOI: 10.1109/Tpami.2013.135 |
0.439 |
|
| 2014 |
Lyzinski V, Sussman DL, Tang M, Athreya A, Priebe CE. Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding Electronic Journal of Statistics. 8: 2905-2922. DOI: 10.1214/14-Ejs978 |
0.376 |
|
| 2014 |
Wang H, Tang M, Park Y, Priebe CE. Locality statistics for anomaly detection in time series of graphs Ieee Transactions On Signal Processing. 62: 703-717. DOI: 10.1109/Tsp.2013.2294594 |
0.428 |
|
| 2014 |
Shen C, Sun M, Tang M, Priebe CE. Generalized canonical correlation analysis for classification Journal of Multivariate Analysis. 130: 310-322. DOI: 10.1016/J.Jmva.2014.05.011 |
0.355 |
|
| 2013 |
Vogelstein JT, Gray Roncal W, Vogelstein RJ, Priebe CE. Graph classification using signal-subgraphs: applications in statistical connectomics. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1539-51. PMID 23681985 DOI: 10.1109/Tpami.2012.235 |
0.678 |
|
| 2013 |
Tang M, Sussman DL, Priebe CE. Universally consistent vertex classification for latent positions graphs The Annals of Statistics. 41: 1406-1430. DOI: 10.1214/13-Aos1112 |
0.385 |
|
| 2013 |
Priebe CE, Marchette DJ, Ma Z, Adali S. Manifold matching: Joint optimization of fidelity and commensurability Brazilian Journal of Probability and Statistics. 27: 377-400. DOI: 10.1214/12-Bjps188 |
0.597 |
|
| 2013 |
Lee NH, Minh J, Tang M, Priebe CE. On latent position inference from doubly stochastic messaging activities Multiscale Modeling and Simulation. 11: 683-718. DOI: 10.1137/120878896 |
0.304 |
|
| 2013 |
Tang M, Park Y, Lee NH, Priebe CE. Attribute fusion in a latent process model for time series of graphs Ieee Transactions On Signal Processing. 61: 1721-1732. DOI: 10.1109/Tsp.2013.2243445 |
0.41 |
|
| 2013 |
Park Y, Priebe CE, Youssef A. Anomaly detection in time series of graphs using fusion of graph invariants Ieee Journal On Selected Topics in Signal Processing. 7: 67-75. DOI: 10.1109/Jstsp.2012.2233712 |
0.387 |
|
| 2013 |
Mhembere D, Gray Roncal W, Sussman D, Priebe CE, Jung R, Ryman S, Vogelstein RJ, Vogelstein JT, Burns R. Computing scalable multivariate glocal invariants of large (brain-) graphs 2013 Ieee Global Conference On Signal and Information Processing, Globalsip 2013 - Proceedings. 297-300. DOI: 10.1109/GlobalSIP.2013.6736874 |
0.592 |
|
| 2013 |
Priebe CE, Vogelstein J, Bock D. Optimizing the quantity/quality trade-off in connectome inference Communications in Statistics - Theory and Methods. 42: 3455-3462. DOI: 10.1080/03610926.2011.630768 |
0.632 |
|
| 2013 |
Qin Y, Priebe CE. Maximum Lq-likelihood estimation via the expectation-maximization algorithm: A robust estimation of mixture models Journal of the American Statistical Association. 108: 914-928. DOI: 10.1080/01621459.2013.787933 |
0.319 |
|
| 2013 |
Sun M, Priebe CE. Efficiency investigation of manifold matching for text document classification Pattern Recognition Letters. 34: 1263-1269. DOI: 10.1016/J.Patrec.2013.03.025 |
0.376 |
|
| 2013 |
Sun M, Priebe CE, Tang M. Generalized canonical correlation analysis for disparate data fusion Pattern Recognition Letters. 34: 194-200. DOI: 10.1016/J.Patrec.2012.09.018 |
0.375 |
|
| 2012 |
Fishkind DE, Sussman DL, Tang M, Vogelstein JT, Priebe CE. Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown Siam Journal On Matrix Analysis and Applications. 34: 23-39. DOI: 10.1137/120875600 |
0.635 |
|
| 2012 |
Tilton JC, Comer DC, Priebe CE, Sussman D, Chen L. Refinement of a method for identifying probable archaeological sites from remotely sensed data Proceedings of Spie - the International Society For Optical Engineering. 8390. DOI: 10.1117/12.918366 |
0.302 |
|
| 2012 |
Sun M, Tang M, Priebe CE. A comparison of graph embedding methods for vertex nomination Proceedings - 2012 11th International Conference On Machine Learning and Applications, Icmla 2012. 1: 398-403. DOI: 10.1109/ICMLA.2012.72 |
0.316 |
|
| 2012 |
Rukhin A, Priebe CE. On the limiting distribution of a graph scan statistic Communications in Statistics - Theory and Methods. 41: 1151-1170. DOI: 10.1080/03610926.2010.533237 |
0.604 |
|
| 2012 |
Sussman DL, Tang M, Fishkind DE, Priebe CE. A consistent adjacency spectral embedding for stochastic blockmodel graphs Journal of the American Statistical Association. 107: 1119-1128. DOI: 10.1080/01621459.2012.699795 |
0.403 |
|
| 2012 |
Priebe CE, Solka JL, Marchette DJ, Bryant AC. Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface Statistical Analysis and Data Mining. 5: 178-186. DOI: 10.1002/Sam.11143 |
0.319 |
|
| 2012 |
Ma Z, Marchette DJ, Priebe CE. Fusion and inference from multiple data sources in a commensurate space Statistical Analysis and Data Mining. 5: 187-193. DOI: 10.1002/Sam.11142 |
0.59 |
|
| 2011 |
Vogelstein JT, Vogelstein RJ, Priebe CE. Are mental properties supervenient on brain properties? Scientific Reports. 1: 100. PMID 22355618 DOI: 10.1038/Srep00100 |
0.602 |
|
| 2011 |
Yang T, Priebe CE. The Effect of Model Misspecification on Semi-Supervised Classification. Ieee Transactions On Pattern Analysis and Machine Intelligence. 33: 2093-103. PMID 21383400 DOI: 10.1109/Tpami.2011.45 |
0.471 |
|
| 2011 |
Priebe CE. Fisher's conditionality principle in statistical pattern recognition American Statistician. 65: 167-169. DOI: 10.1198/Tast.2011.09220 |
0.337 |
|
| 2011 |
Pao H, Coppersmith GA, Priebe CE. Statistical inference on random graphs: Comparative power analyses via Monte Carlo Journal of Computational and Graphical Statistics. 20: 395-416. DOI: 10.1198/Jcgs.2010.09004 |
0.411 |
|
| 2011 |
Borges N, Coppersmith GA, Meyer GGL, Priebe CE. Anomaly detection for random graphs using distributions of vertex invariants 2011 45th Annual Conference On Information Sciences and Systems, Ciss 2011. DOI: 10.1109/CISS.2011.5766132 |
0.323 |
|
| 2011 |
Lee NH, Priebe CE. A latent process model for time series of attributed random graphs Statistical Inference For Stochastic Processes. 14: 231-253. DOI: 10.1007/S11203-011-9058-Y |
0.413 |
|
| 2011 |
Aksakalli V, Fishkind DE, Priebe CE, Ye X. The reset disambiguation policy for navigating stochastic obstacle fields Naval Research Logistics. 58: 389-399. DOI: 10.1002/Nav.20454 |
0.333 |
|
| 2010 |
Ye X, Priebe CE. A Graph-Search Based Navigation Algorithm for Traversing A Potentially Hazardous Area with Disambiguation International Journal of Operations Research and Information Systems. 1: 14-27. DOI: 10.4018/Joris.2010070102 |
0.358 |
|
| 2010 |
Carliles S, Budavári T, Heinis S, Priebe C, Szalay AS. RANDOM FORESTS FOR PHOTOMETRIC REDSHIFTS The Astrophysical Journal. 712: 511-515. DOI: 10.1088/0004-637X/712/1/511 |
0.318 |
|
| 2010 |
Rukhin A, Priebe CE. A comparative power analysis of the maximum degree and size invariants for random graph inference Journal of Statistical Planning and Inference. DOI: 10.1016/J.Jspi.2010.09.013 |
0.622 |
|
| 2010 |
Grothendieck J, Priebe CE, Gorin AL. Statistical inference on attributed random graphs: Fusion of graph features and content Computational Statistics & Data Analysis. 54: 1777-1790. DOI: 10.1016/J.Csda.2010.01.017 |
0.424 |
|
| 2010 |
Priebe CE, Park Y, Marchette DJ, Conroy JM, Grothendieck J, Gorin AL. Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs Computational Statistics and Data Analysis. 54: 1766-1776. DOI: 10.1016/J.Csda.2010.01.008 |
0.419 |
|
| 2010 |
Ma Z, Cardinal-Stakenas A, Park Y, Trosset MW, Priebe CE. Dimensionality reduction on the Cartesian product of embeddings of multiple dissimilarity matrices Journal of Classification. 27: 307-321. DOI: 10.1007/S00357-010-9059-3 |
0.722 |
|
| 2009 |
Miller MI, Priebe CE, Qiu A, Fischl B, Kolasny A, Brown T, Park Y, Ratnanather JT, Busa E, Jovicich J, Yu P, Dickerson BC, Buckner RL. Collaborative computational anatomy: an MRI morphometry study of the human brain via diffeomorphic metric mapping. Human Brain Mapping. 30: 2132-41. PMID 18781592 DOI: 10.1002/Hbm.20655 |
0.306 |
|
| 2009 |
Rukhin A, Priebe CE, Healy DM. On the monotone likelihood ratio property for the convolution of independent binomial random variables Discrete Applied Mathematics. 157: 2562-2564. DOI: 10.1016/J.Dam.2009.03.002 |
0.56 |
|
| 2008 |
Trosset MW, Priebe CE, Park Y, Miller MI. Semisupervised learning from dissimilarity data. Computational Statistics & Data Analysis. 52: 4643-4657. PMID 20407600 DOI: 10.1016/J.Csda.2008.02.030 |
0.356 |
|
| 2008 |
Karakos D, Khudanpur S, Marchette DJ, Papamarcou A, Priebe CE. On the minimization of concave information functionals for unsupervised classification via decision trees Statistics and Probability Letters. 78: 975-984. DOI: 10.1016/J.Spl.2007.09.058 |
0.337 |
|
| 2008 |
Trosset MW, Priebe CE. The out-of-sample problem for classical multidimensional scaling Computational Statistics and Data Analysis. 52: 4635-4642. DOI: 10.1016/J.Csda.2008.02.031 |
0.301 |
|
| 2008 |
Marchette DJ, Priebe CE. Predicting unobserved links in incompletely observed networks Computational Statistics and Data Analysis. 52: 1373-1386. DOI: 10.1016/J.Csda.2007.03.016 |
0.344 |
|
| 2008 |
Giles KE, Trosset MW, Marchette DJ, Priebe CE. Iterative denoising Computational Statistics. 23: 497-517. DOI: 10.1007/s00180-007-0090-8 |
0.734 |
|
| 2007 |
Fishkind DE, Priebe CE, Giles KE, Smith LN, Aksakalli V. Disambiguation protocols based on risk simulation Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans. 37: 814-823. DOI: 10.1109/TSMCA.2007.902634 |
0.717 |
|
| 2007 |
John M, Priebe CE. A data-adaptive methodology for finding an optimal weighted generalized Mann-Whitney-Wilcoxon statistic Computational Statistics and Data Analysis. 51: 4337-4353. DOI: 10.1016/J.Csda.2006.06.003 |
0.536 |
|
| 2007 |
Ceyhan E, Priebe CE, Marchette DJ. A new family of random graphs for testing spatial segregation Canadian Journal of Statistics. 35: 27-50. DOI: 10.1002/Cjs.5550350106 |
0.675 |
|
| 2006 |
Ceyhan E, Priebe CE. On the distribution of the domination number of a new family of parametrized random digraphs1 Model Assisted Statistics and Applications. 1: 231-255. DOI: 10.3233/Mas-2006-1404 |
0.638 |
|
| 2006 |
DeVinney J, Priebe CE. A new family of proximity graphs: Class cover catch digraphs Discrete Applied Mathematics. 154: 1975-1982. DOI: 10.1016/J.Dam.2006.04.004 |
0.782 |
|
| 2006 |
Ceyhan E, Priebe CE, Wierman JC. Relative density of the random r-factor proximity catch digraph for testing spatial patterns of segregation and association Computational Statistics and Data Analysis. 50: 1925-1964. DOI: 10.1016/J.Csda.2005.03.002 |
0.689 |
|
| 2005 |
Ceyhan E, Priebe CE. The use of domination number of a random proximity catch digraph for testing spatial patterns of segregation and association Statistics and Probability Letters. 73: 37-50. DOI: 10.1016/J.Spl.2005.02.012 |
0.656 |
|
| 2005 |
Priebe CE, Conroy JM, Marchette DJ, Park Y. Scan statistics on enron graphs Computational and Mathematical Organization Theory. 11: 229-247. DOI: 10.1007/S10588-005-5378-Z |
0.384 |
|
| 2005 |
Eveland CK, Socolinsky DA, Priebe CE, Marchette DJ. A hierarchical methodology for class detection problems with skewed priors Journal of Classification. 22: 17-48. DOI: 10.1007/S00357-005-0004-9 |
0.391 |
|
| 2005 |
Priebe CE, Fishkind DE, Abrams L, Piatko CD. Random disambiguation paths for traversing a mapped hazard field Naval Research Logistics. 52: 285-292. DOI: 10.1002/Nav.20071 |
0.357 |
|
| 2004 |
Johannsen DA, Wegman EJ, Solka JL, Priebe CE. Simultaneous selection of features and metric for optimal nearest neighbor classification Communications in Statistics - Theory and Methods. 33: 2137-2157. DOI: 10.1081/Sta-200026587 |
0.612 |
|
| 2004 |
Marchette DJ, Wegman EJ, Priebe CE. Fast Algorithms for Classification Using Class Cover Catch Digraphs Handbook of Statistics. 24: 331-358. DOI: 10.1016/S0169-7161(04)24012-3 |
0.662 |
|
| 2003 |
Pilla RS, Tao PP, Priebe CE. Adaptive methods for spatial scan analysis via semiparametric mixture models Journal of Computational and Graphical Statistics. 12: 332-353. DOI: 10.1198/1061860031716 |
0.522 |
|
| 2003 |
Priebe CE, Solka JL, Marchette DJ, Clark BT. Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays Computational Statistics and Data Analysis. 43: 621-632. DOI: 10.1016/S0167-9473(02)00296-7 |
0.324 |
|
| 2003 |
Marchette DJ, Priebe CE. Characterizing the scale dimension of a high-dimensional classification problem Pattern Recognition. 36: 45-60. DOI: 10.1016/S0031-3203(02)00042-0 |
0.408 |
|
| 2003 |
Olson T, Pang J, Priebe C. A likelihood-MPEC approach to target classification Mathematical Programming. 96: 1-31. DOI: 10.1007/S10107-003-0242-8 |
0.405 |
|
| 2003 |
Priebe CE, Marchette DJ, DeVinney JG, Socolinsky DA. Classification using class cover catch digraphs Journal of Classification. 20: 3-23. DOI: 10.1007/S00357-003-0003-7 |
0.776 |
|
| 2002 |
Abrams L, Fishkind DE, Priebe CE. A proof of the spherical homeomorphism conjecture for surfaces. Ieee Transactions On Medical Imaging. 21: 1564-6. PMID 12588040 DOI: 10.1109/Tmi.2002.806590 |
0.318 |
|
| 2002 |
SOLKA JL, CLARK BT, PRIEBE CE. A VISUALIZATION FRAMEWORK FOR THE ANALYSIS OF HYPERDIMENSIONAL DATA International Journal of Image and Graphics. 2: 145-161. DOI: 10.1142/S0219467802000494 |
0.397 |
|
| 2001 |
Naiman DQ, Priebe CE. Computing scan statistic p values using importance sampling, with applications to genetics and medical image analysis Journal of Computational and Graphical Statistics. 10: 296-328. DOI: 10.1198/10618600152628194 |
0.324 |
|
| 2001 |
Priebe CE, Chen D. Spatial scan density estimates Technometrics. 43: 73-83. DOI: 10.1198/00401700152404345 |
0.541 |
|
| 2001 |
Priebe CE. Olfactory classification via interpoint distance analysis Ieee Transactions On Pattern Analysis and Machine Intelligence. 23: 404-413. DOI: 10.1109/34.917575 |
0.314 |
|
| 2001 |
Priebe CE, Naiman DQ, Cope LM. Importance sampling for spatial scan analysis: Computing scan statistic p-values for marked point processes Computational Statistics and Data Analysis. 35: 475-485. DOI: 10.1016/S0167-9473(00)00017-7 |
0.336 |
|
| 2001 |
Priebe CE, Devinney JG, Marchette DJ. On the distribution of the domination number for random class cover catch digraphs Statistics and Probability Letters. 55: 239-246. DOI: 10.1016/S0167-7152(01)00129-8 |
0.773 |
|
| 2000 |
Xie J, Priebe CE. Generalizing the mann-whitney-wilcoxon statistic Journal of Nonparametric Statistics. 12: 661-682. DOI: 10.1080/10485250008832827 |
0.342 |
|
| 1999 |
Priebe CE, Cowen LJ. A generalized Wilcoxon-Mann-Whitney statistic Communications in Statistics - Theory and Methods. 28: 2871-2878. DOI: 10.1080/03610929908832454 |
0.326 |
|
| 1998 |
Solka JL, Wegman EJ, Priebe CE, Poston WL, Rogers GW. Mixture structure analysis using the Akaike Information Criterion and the bootstrap Statistics and Computing. 8: 177-188. DOI: 10.1023/A:1008924323509 |
0.631 |
|
| 1997 |
Priebe CE, Marchette DJ, Rogers GW. Segmentation of random fields via borrowed strength density estimation Ieee Transactions On Pattern Analysis and Machine Intelligence. 19: 494-499. DOI: 10.1109/34.589209 |
0.319 |
|
| 1997 |
Poston WL, Wegman EJ, Priebe CE, Solka JL. A deterministic method for robust estimation of multivariate location and shape Journal of Computational and Graphical Statistics. 6: 303-313. DOI: 10.1080/10618600.1997.10474744 |
0.631 |
|
| 1997 |
Priebe CE, Olson T, Healy DM. A spatial scan statistic for stochastic scan partitions Journal of the American Statistical Association. 92: 1476-1484. DOI: 10.1080/01621459.1997.10473669 |
0.315 |
|
| 1997 |
Priebe CE, Marchette DJ, Rogers GW. Semiparametric nonhomogeneity analysis Journal of Statistical Planning and Inference. 59: 45-60. DOI: 10.1016/S0378-3758(96)00095-X |
0.314 |
|
| 1997 |
Marchette DJ, Lorey RA, Priebe CE. An analysis of local feature extraction in digital mammography Pattern Recognition. 30: 1547-1554. DOI: 10.1016/S0031-3203(96)00173-2 |
0.309 |
|
| 1997 |
Cowen LJ, Priebe CE. Randomized Nonlinear Projections Uncover High-Dimensional Structure Advances in Applied Mathematics. 19: 319-331. DOI: 10.1006/Aama.1997.0532 |
0.351 |
|
| 1995 |
Lorey RA, Solka JL, Rogers GW, Marchette DJ, Priebe CE. Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition Real-Time Imaging. 1: 95-104. DOI: 10.1006/Rtim.1995.1010 |
0.336 |
|
| 1994 |
Poston WL, Rogers GW, Priebe CE, Solka JL. A qualitative analysis of the resistive grid kernel estimator Pattern Recognition Letters. 15: 219-225. DOI: 10.1016/0167-8655(94)90053-1 |
0.326 |
|
| 1993 |
WOODS KS, DOSS CC, BOWYER KW, SOLKA JL, PRIEBE CE, KEGELMEYER WP. COMPARATIVE EVALUATION OF PATTERN RECOGNITION TECHNIQUES FOR DETECTION OF MICROCALCIFICATIONS IN MAMMOGRAPHY International Journal of Pattern Recognition and Artificial Intelligence. 7: 1417-1436. DOI: 10.1142/S0218001493000698 |
0.345 |
|
| 1993 |
Rogers GW, Priebe CE, Solka JL. Filtered kernel probabilistic neural network Proceedings of Spie. 1962: 242-252. DOI: 10.1117/12.150592 |
0.322 |
|
| 1993 |
Rogers GW, Priebe CE, Solka JL. Probabilistic neural network with reflected kernels Proceedings of Spie. 1962: 231-241. DOI: 10.1117/12.150591 |
0.316 |
|
| 1993 |
Solka JL, Priebe CE, Rogers GW. Probabilistic approach to fractal-based texture discrimination Proceedings of Spie. 1962: 209-218. DOI: 10.1117/12.150589 |
0.308 |
|
| 1993 |
Priebe CE, Solka JL, Rogers GW. Discriminant analysis in aerial images using fractal-based features Proceedings of Spie. 1962: 196-208. DOI: 10.1117/12.150588 |
0.338 |
|
| 1991 |
Priebe CE, Marchette DJ. Adaptive mixtures: Recursive nonparametric pattern recognition Pattern Recognition. 24: 1197-1209. DOI: 10.1016/0031-3203(91)90145-U |
0.344 |
|
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