David Jonathan Miller

    • 1782 Citations
    • 25 h-Index
    1992 …2020

    Research output per year

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    2020

    Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses against Attacks

    Miller, D. J., Xiang, Z. & Kesidis, G., Mar 2020, In : Proceedings of the IEEE. 108, 3, p. 402-433 32 p., 9013065.

    Research output: Contribution to journalArticle

    Improved parsimonious topic modeling based on the bayesian information criterion

    Wang, H. & Miller, D., Mar 1 2020, In : Entropy. 22, 3, 326.

    Research output: Contribution to journalArticle

    Open Access
    2019

    Asymmetric independence modeling identifies novel gene-environment interactions

    Yu, G., Miller, D. J., Wu, C. T., Hoffman, E. P., Liu, C., Herrington, D. M. & Wang, Y., Dec 1 2019, In : Scientific reports. 9, 1, 2455.

    Research output: Contribution to journalArticle

    Open Access

    When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time

    Miller, D., Wang, Y. & Kesidis, G., Aug 1 2019, In : Neural computation. 31, 8, p. 1624-1670 47 p.

    Research output: Contribution to journalArticle

    2018
    1 Scopus citations

    Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion

    Lin, C. H., Chi, C. Y., Chen, L., Miller, D. J. & Wang, Y., Sep 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4022-4037 16 p., 8057601.

    Research output: Contribution to journalArticle

    4 Scopus citations
    2017
    7 Scopus citations

    Automated functional analysis of astrocytes from chronic time-lapse calcium imaging data

    Wang, Y., Shi, G., Miller, D. J., Wang, Y., Wang, C., Broussard, G., Wang, Y., Tian, L. & Yu, G., Jul 14 2017, In : Frontiers in Neuroinformatics. 11, 48.

    Research output: Contribution to journalArticle

    1 Scopus citations

    HIV distal neuropathic pain is associated with smaller ventral posterior cingulate cortex

    The CHARTER Group, Jan 1 2017, In : Pain Medicine (United States). 18, 3, p. 428-440 13 p.

    Research output: Contribution to journalArticle

    5 Scopus citations
    2016

    ATD: Anomalous Topic Discovery in High Dimensional Discrete Data

    Soleimani, H. & Miller, D. J., Sep 1 2016, In : IEEE Transactions on Knowledge and Data Engineering. 28, 9, p. 2267-2280 14 p., 7463492.

    Research output: Contribution to journalArticle

    7 Scopus citations

    Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources

    Zhu, Y., Wang, N., Miller, D. J. & Wang, Y., Dec 6 2016, In : Scientific reports. 6, 38350.

    Research output: Contribution to journalArticle

    3 Scopus citations

    T2 map signal variation predicts symptomatic osteoarthritis progression: data from the Osteoarthritis Initiative

    Zhong, H., Miller, D. J. & Urish, K. L., Jul 1 2016, In : Skeletal Radiology. 45, 7, p. 909-913 5 p.

    Research output: Contribution to journalArticle

    12 Scopus citations
    2015

    A stock market forecasting model combining two-directional two-dimensional principal component analysis and radial basis function neural network

    Guo, Z., Wang, H., Yang, J. & Miller, D. J., Apr 7 2015, In : PloS one. 10, 4, e0122385.

    Research output: Contribution to journalArticle

    17 Scopus citations

    Generation bidding game with potentially false attestation of flexible demand

    Shan, Y., Raghuram, J., Kesidis, G., Miller, D. J., Scaglione, A., Rowe, J. & Levitt, K., Dec 1 2015, In : Eurasip Journal on Advances in Signal Processing. 2015, 1

    Research output: Contribution to journalArticle

    2 Scopus citations
    25 Scopus citations

    Parsimonious topic models with salient word discovery

    Soleimani, H. & Miller, D. J., Mar 1 2015, In : IEEE Transactions on Knowledge and Data Engineering. 27, 3, p. 824-837 14 p., 6871387.

    Research output: Contribution to journalArticle

    13 Scopus citations
    2014

    HIV-associated distal neuropathic pain is associated with smaller total cerebral cortical gray matter

    Keltner, J. R., Fennema-Notestine, C., Vaida, F., Wang, D., Franklin, D. R., Dworkin, R. H., Sanders, C., McCutchan, J. A., Archibald, S. L., Miller, D. J., Kesidis, G., Cushman, C., Kim, S. M., Abramson, I., Taylor, M. J., Theilmann, R. J., Julaton, M. D., Notestine, R. J., Corkran, S., Cherner, M. & 13 others, Duarte, N. A., Alexander, T., Robinson-Papp, J., Gelman, B. B., Simpson, D. M., Collier, A. C., Marra, C. M., Morgello, S., Brown, G., Grant, I., Atkinson, J. H., Jernigan, T. L. & Ellis, R. J., Jun 2014, In : Journal of neurovirology. 20, 3, p. 209-218 10 p.

    Research output: Contribution to journalArticle

    11 Scopus citations

    Instance-level constraint-based semisupervised learning with imposed space-partitioning

    Raghuram, J., Miller, D. J. & Kesidis, G., Jan 1 2014, In : IEEE Transactions on Neural Networks and Learning Systems. 25, 8, p. 1520-1537 18 p., 6695785.

    Research output: Contribution to journalArticle

    2 Scopus citations
    11 Scopus citations
    2013

    Optimizing cluster formation in super-peer networks via local incentive design

    Kurve, A., Griffin, C., Miller, D. J. & Kesidis, G., Jan 1 2013, In : Peer-to-Peer Networking and Applications. 8, 1, p. 1-21 21 p.

    Research output: Contribution to journalArticle

    5 Scopus citations
    3 Scopus citations

    T2 texture index of cartilage can predict early symptomatic OA progression: Data from the osteoarthritis initiative

    Urish, K. L., Keffalas, M. G., Durkin, J. R., Miller, D. J., Chu, C. R. & Mosher, T. J., Oct 1 2013, In : Osteoarthritis and Cartilage. 21, 10, p. 1550-1557 8 p.

    Research output: Contribution to journalArticle

    25 Scopus citations
    2012

    An overview of population genetic data simulation

    Yuan, X., Miller, D. J., Zhang, J., Herrington, D. & Wang, Y., Jan 1 2012, In : Journal of Computational Biology. 19, 1, p. 42-54 13 p.

    Research output: Contribution to journalArticle

    26 Scopus citations

    Improved generative semisupervised learning based on finely grained component-conditional class labeling

    Miller, D. J., Raghuram, J., Kesidis, G. & Collins, C. M., Dec 1 2012, In : Neural computation. 24, 7, p. 1926-1966 41 p.

    Research output: Contribution to journalArticle

    2 Scopus citations

    Nonlinear system modeling with random matrices: Echo state networks revisited

    Zhang, B., Miller, D. J. & Wang, Y., Dec 1 2012, In : IEEE Transactions on Neural Networks and Learning Systems. 23, 1, p. 175-182 8 p., 6105577.

    Research output: Contribution to journalArticle

    42 Scopus citations
    2011

    A flow classifier with tamper-resistant features and an evaluation of its portability to new domains

    Zou, G., Kesidis, G. & Miller, D. J., Aug 1 2011, In : IEEE Journal on Selected Areas in Communications. 29, 7, p. 1449-1460 12 p., 5963163.

    Research output: Contribution to journalArticle

    9 Scopus citations

    An MRI-Derived definition of MCI-To-AD conversion for Long-Term, automatic prognosis of MCI patients

    Aksu, Y., Miller, D. J., Kesidis, G., Bigler, D. C. & Yang, Q. X., Oct 12 2011, In : PloS one. 6, 10, e25074.

    Research output: Contribution to journalArticle

    28 Scopus citations

    Comparative analysis of methods for detecting interacting loci

    Chen, L., Yu, G., Langefeld, C. D., Miller, D. J., Guy, R. T., Raghuram, J., Yuan, X., Herrington, D. M. & Wang, Y., Jul 5 2011, In : BMC genomics. 12, 344.

    Research output: Contribution to journalArticle

    25 Scopus citations

    Trends in machine learning for signal processing [In the Spotlight]

    Adali, T., Miller, D. J., Diamantaras, K. I. & Larsen, J., Nov 2011, In : IEEE Signal Processing Magazine. 28, 6, p. 193-196 4 p., 6021869.

    Research output: Contribution to journalArticle

    6 Scopus citations
    2010

    Joint parsimonious modeling and model order selection for multivariate gaussian mixtures

    Markley, S. C. & Miller, D. J., Jun 1 2010, In : IEEE Journal on Selected Topics in Signal Processing. 4, 3, p. 548-559 12 p., 5447637.

    Research output: Contribution to journalArticle

    11 Scopus citations

    Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions

    Aksu, Y., Miller, D. J., Kesidis, G. & Yang, Q. X., May 1 2010, In : IEEE Transactions on Neural Networks. 21, 5, p. 701-717 17 p., 5419999.

    Research output: Contribution to journalArticle

    31 Scopus citations

    Matched gene selection and committee classifier for molecular classification of heterogeneous diseases

    Yu, G., Feng, Y., Miller, D. J., Xuan, J., Hoffman, E. P., Clarke, R., Davidson, B., Shih, I. M. & Wang, Y., Aug 1 2010, In : Journal of Machine Learning Research. 11, p. 2141-2167 27 p.

    Research output: Contribution to journalArticle

    13 Scopus citations

    Uninterpreted schema matching with embedded value mapping under opaque column names and data values

    Jaiswal, A., Miller, D. J. & Mitra, P., Feb 1 2010, In : IEEE Transactions on Knowledge and Data Engineering. 22, 2, p. 291-304 14 p., 4799783.

    Research output: Contribution to journalArticle

    10 Scopus citations
    2009

    An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions

    Miller, D. J., Zhang, Y., Yu, G., Liu, Y., Chen, L., Langefeld, C. D., Herrington, D. & Wang, Y., Oct 16 2009, In : Bioinformatics. 25, 19, p. 2478-2485 8 p.

    Research output: Contribution to journalArticle

    37 Scopus citations

    STAMPS: Software Tool for Automated MRI Post-processing on a supercomputer

    Bigler, D. C., Aksu, Y., Miller, D. J. & Yang, Q., Aug 1 2009, In : Computer Methods and Programs in Biomedicine. 95, 2, p. 146-157 12 p.

    Research output: Contribution to journalArticle

    4 Scopus citations
    2008

    A ground truth based comparative study on clustering of gene expression data

    Zhu, Y., Wang, Z., Miller, D. J., Clarke, R., Xuan, J., Hoffman, E. P. & Wang, Y., May 2 2008, In : Frontiers in Bioscience. 13, 10, p. 3839-3849 11 p.

    Research output: Contribution to journalArticle

    4 Scopus citations

    caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data

    Zhu, Y., Li, H., Miller, D. J., Wang, Z., Xuan, J., Clarke, R., Hoffman, E. P. & Wang, Y., Sep 18 2008, In : BMC bioinformatics. 9, 383.

    Research output: Contribution to journalArticle

    8 Scopus citations
    4 Scopus citations

    Extensions of transductive learning for distributed ensemble classification and application to biometric authentication

    Miller, D. J., Pal, S. & Wang, Y., Dec 1 2008, In : Neurocomputing. 72, 1-3, p. 119-125 7 p.

    Research output: Contribution to journalArticle

    1 Scopus citations
    2007
    4 Scopus citations

    Transductive methods for the distributed ensemble classification problem

    Miller, D. J. & Pal, S., Mar 1 2007, In : Neural Computation. 19, 3, p. 856-884 29 p.

    Research output: Contribution to journalArticle

    7 Scopus citations
    2006
    17 Scopus citations

    Objective subclass determination of sloan digital sky survey spectroscopically unclassified objects

    Bazell, D., Miller, D. J. & SubbaRao, M., Oct 1 2006, In : Astrophysical Journal. 649, 2 I, p. 678-691 14 p.

    Research output: Contribution to journalArticle

    4 Scopus citations

    Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection

    Graham, M. W. & Miller, D. J., Apr 1 2006, In : IEEE Transactions on Signal Processing. 54, 4, p. 1289-1303 15 p.

    Research output: Contribution to journalArticle

    39 Scopus citations
    2005

    Class discovery in galaxy classification

    Bazell, D. & Miller, D. J., Jan 10 2005, In : Astrophysical Journal. 618, 2 I, p. 723-732 10 p.

    Research output: Contribution to journalArticle

    10 Scopus citations

    Mixture modeling with pairwise, instance-level class constraints

    Zhao, Q. & Miller, D. J., Nov 1 2005, In : Neural computation. 17, 11, p. 2482-2507 26 p.

    Research output: Contribution to journalArticle

    19 Scopus citations
    2004

    A maximum entropy approach for collaborative filtering

    Browning, J. & Miller, D. J., Jun 1 2004, In : Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology. 37, 2-3, p. 199-209 11 p.

    Research output: Contribution to journalArticle

    8 Scopus citations