Search Results - "Rogers, James P."

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  1. 1

    Low-Energy Electron Irradiation of NAND Flash Memories by Gadlage, Matthew J., Roach, Austin H., Labello, Jesse M., Halstead, Matthew R., Kay, Matthew J., Duncan, Adam R., Ingalls, James D., Bossev, Dobrin P., Rogers, James P.

    Published in IEEE transactions on nuclear science (01-01-2017)
    “…Data on NAND Flash memories exposed to electrons with energies ranging from 20 keV to 100 keV are presented. When the memories are exposed to electrons below…”
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    Journal Article
  2. 2

    Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining by Celik, M., Shekhar, S., Rogers, J.P., Shine, J.A.

    “…Mixed-drove spatio-temporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in…”
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    Journal Article
  3. 3

    Overnight hospital stay after colon surgery for adenocarcinoma by Rogers, James P, Dobradin, Andrew, Kar, Pran M, Alam, Shaan E

    “…A short hospital stay is one of the main advantages of the laparoscopic surgical technique. The process of developing and studying the "fast-track" process has…”
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    Journal Article
  4. 4

    Cascading Spatio-Temporal Pattern Discovery by Mohan, P., Shekhar, S., Shine, J. A., Rogers, J. P.

    “…Given a collection of Boolean spatiotemporal (ST) event-types, the cascading spatiotemporal pattern (CSTP) discovery process finds partially ordered subsets of…”
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    Journal Article
  5. 5

    Detecting spatio-temporal outliers with kernels and statistical testing by Rogers, J.P., Barbara, D., Domeniconi, C.

    “…Outlier detection is the discovery of points that are exceptional when compared with a set of observations that are considered normal. Such points are…”
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    Conference Proceeding
  6. 6

    Detection of Outliers in Spatial-Temporal Data by Rogers, James P

    Published 2010
    “…Outlier detection is an important data mining task that is focused on the discovery of objects that deviate significantly when compared with a set of…”
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    Dissertation
  7. 7

    Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results by Celik, M., Shekhar, S., Rogers, J.P., Shine, J.A., Kang, J.M.

    “…Mixed-drove spatio-temporal co-occurrence patterns (MDCOPs) represent subsets of object-types that are located together in space and time. Discovering MDCOPs…”
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    Conference Proceeding
  8. 8

    Detection of Outliers in Spatial-temporal Data by Rogers, James P

    “…Outlier detection is an important data mining task that is focused on the discovery of objects that deviate significantly when compared with a set of…”
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    Dissertation
  9. 9

    Transfer of training to orthogonal dimensions by Riopelle, Arthur J, Rogers, James P

    Published in Journal of experimental psychology (01-12-1956)
    “…Experimental Ss trained to respond by releasing telegraph key when any one of seven lights in either the horizontal or vertical arms of a cross of lights was…”
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    Journal Article
  10. 10

    Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results by Celik, M., Shekhar, S., Rogers, J.P., Shine, J.A.

    “…Sustained emerging spatio-temporal co-occurrence patterns (SECOPs) represent subsets of object-types that are increasingly located together in space and time…”
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    Conference Proceeding
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