Adaptive mixtures: Recursive nonparametric pattern recognition. - Carey E. Priebe; David J. Marchette (Pattern Recognit., 1991)

Adaptive mixture density estimation. - Carey E. Priebe; David J. Marchette (Pattern Recognit., 1993)

The detection of micro-calcifications in mammographic images using high dimensional features. - Jeffrey L. Solka; Wendy L. Poston; Carey E. Priebe; George W. Rogers; Richard A. Lorey; David J. Marchette; Kevin S. Woods; Kevin W. Bowyer (CBMS, 1994)

Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition. - Richard A. Lorey; Jeffrey L. Solka; George W. Rogers; David J. Marchette; Carey E. Priebe (Real Time Imaging, 1995)

Mixture-based MAP estimator for image segmentation. - David J. Marchette; Jeffrey L. Solka (Visual Information Processing, 1997)

Segmentation of Random Fields Via Borrowed Strength Density Estimation. - Carey E. Priebe; David J. Marchette; George W. Rogers (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

An analysis of local feature extraction in digital mammography. - David J. Marchette; Richard A. Lorey; Carey E. Priebe (Pattern Recognit., 1997)

Identification of Man-Made Regions in Unmanned Aerial Vehicle Imagery and Videos. - Jeffrey L. Solka; David J. Marchette; B. C. Wallet; V. L. Irwin; George W. Rogers (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

The advanced distributed region of interest tool. - David J. Marchette; Jeffrey L. Solka; R. Guidry; John Green (Pattern Recognit., 1998)

Recursive dimensionality reduction using Fisher's linear discriminant. - Wendy L. Poston; David J. Marchette (Pattern Recognit., 1998)

Analysis Techniques for Detecting Coordinated Attacks and Probes. - John Green; David J. Marchette; Stephen Northcutt; Bill Ralph (Workshop on Intrusion Detection and Network Monitoring, 1999)

A Statistical Method for Profiling Network Traffic. - David J. Marchette (Workshop on Intrusion Detection and Network Monitoring, 1999)

Local dimensionality reduction. - David J. Marchette; Wendy L. Poston (Comput. Stat., 1999)

Classification Using Class Cover Catch Digraphs. - Carey E. Priebe; David J. Marchette; Jason DeVinney; Diego A. Socolinsky (J. Classif., 2003)

Using data images for outlier detection. - David J. Marchette; Jeffrey L. Solka (Comput. Stat. Data Anal., 2003)

Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays. - Carey E. Priebe; Jeffrey L. Solka; David J. Marchette; B. Ted Clark (Comput. Stat. Data Anal., 2003)

Characterizing the scale dimension of a high-dimensional classification problem. - David J. Marchette; Carey E. Priebe (Pattern Recognit., 2003)

Bayesian Networks and Decision Graphs. - David J. Marchette (Technometrics, 2003)

Modeling computer virus prevalence with a susceptible-infected-susceptible model with reintroduction. - John C. Wierman; David J. Marchette (Comput. Stat. Data Anal., 2004)

Integrated Sensing and Processing Decision Trees. - Carey E. Priebe; David J. Marchette; Dennis M. Healy Jr. (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

A Hierarchical Methodology for Class Detection Problems with Skewed Priors. - Christopher K. Eveland; Diego A. Socolinsky; Carey E. Priebe; David J. Marchette (J. Classif., 2005)

Scan Statistics on Enron Graphs. - Carey E. Priebe; John M. Conroy; David J. Marchette; Youngser Park (Comput. Math. Organ. Theory, 2005)

Data Analysis of Asymmetric Structures: Advanced Approaches in Computational Statistics. - David J. Marchette (Technometrics, 2006)

A Dynamic Graph Model for Analyzing Streaming News Documents. - Elizabeth Leeds Hohman; David J. Marchette (CIDM, 2007)

Enhancing Text Analysis via Dimensionality Reduction. - David G. Underhill; Luke McDowell; David J. Marchette; Jeffrey L. Solka (IRI, 2007)

Predicting unobserved links in incompletely observed networks. - David J. Marchette; Carey E. Priebe (Comput. Stat. Data Anal., 2008)

Iterative Denoising. - Kendall E. Giles; Michael W. Trosset; David J. Marchette; Carey E. Priebe (Comput. Stat., 2008)

Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs. - Carey E. Priebe; Youngser Park; David J. Marchette; John M. Conroy; John Grothendieck; Allen L. Gorin (Comput. Stat. Data Anal., 2010)

Fusion of disparate information through joint embeddings. - David J. Marchette; Jeffrey L. Solka (FUSION, 2011)

Betti numbers of graphs with an application to anomaly detection. - David A. Johannsen; David J. Marchette (Stat. Anal. Data Min., 2012)

Fusion and inference from multiple data sources in a commensurate space. - Zhiliang Ma; David J. Marchette; Carey E. Priebe (Stat. Anal. Data Min., 2012)

Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface. - Carey E. Priebe; Jeffrey L. Solka; David J. Marchette; Avory C. Bryant (Stat. Anal. Data Min., 2012)

Mathematical properties of System Readiness Levels. - Eileen McConkie; Thomas A. Mazzuchi; Shahram Sarkani; David J. Marchette (Syst. Eng., 2013)

Utilizing covariates in partially observed networks. - David J. Marchette; Elizabeth Leeds Hohman (FUSION, 2015)

Security Analytics: Essential Data Analytics Knowledge for Cybersecurity Professionals and Students. - Rakesh M. Verma; Murat Kantarcioglu; David J. Marchette; Ernst L. Leiss; Thamar Solorio (IEEE Secur. Priv., 2015)

Categorification of the Müller-Wichards System Performance Estimation Model: Model Symmetries, Invariants, and Closed Forms. - Allen D. Parks; David J. Marchette (Syst., 2019)

Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. - Congyuan Yang; Carey E. Priebe; Youngser Park; David J. Marchette (J. Comput. Graph. Stat., 2021)

Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. - Jackson Cates; Randy C. Hoover; Kyle A. Caudle; David J. Marchette; Cagri Ozdemir (ICMLA, 2022)

Temporal Tensor Factorization: A Framework for Low-Rank Multilinear Time Series Forecasting. - Jackson Cates; Randy C. Hoover; Kyle A. Caudle; David J. Marchette; Karissa Schipke (ICMLA, 2024)

TSGCN: A Framework for Hierarchical Graph Representation Learning. - Jackson Cates; Randy C. Hoover; Kyle A. Caudle; David J. Marchette (IEEE Trans. Netw. Sci. Eng., 2025)