David J. Marchette

42 papers B 1C 5Misc 1Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	TSGCN: A Framework for Hierarchical Graph Representation Learning. IEEE Trans. Netw. Sci. Eng. Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette
2024	C	`conf`	Temporal Tensor Factorization: A Framework for Low-Rank Multilinear Time Series Forecasting. ICMLA Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Karissa Schipke
2023	—	`ed.`	Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, IWSPA@CODASPY 2023, Charlotte, NC, USA, 26 April 2023. IWSPA@CODASPY David J. Marchette, Andrew H. Sung, Rakesh M. Verma
2022	C	`conf`	Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. ICMLA Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Cagri Ozdemir
2021	J	`jnl`	Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. J. Comput. Graph. Stat. Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette
2019	J	`jnl`	Categorification of the Müller-Wichards System Performance Estimation Model: Model Symmetries, Invariants, and Closed Forms. Syst. Allen D. Parks, David J. Marchette
2019	J	`jnl`	Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. CoRR Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette
2015	J	`jnl`	Security Analytics: Essential Data Analytics Knowledge for Cybersecurity Professionals and Students. IEEE Secur. Priv. Rakesh M. Verma, Murat Kantarcioglu, David J. Marchette, Ernst L. Leiss, Thamar Solorio
2015	C	`conf`	Utilizing covariates in partially observed networks. FUSION David J. Marchette, Elizabeth Leeds Hohman
2013	J	`jnl`	Mathematical properties of System Readiness Levels. Syst. Eng. Eileen McConkie, Thomas A. Mazzuchi, Shahram Sarkani, David J. Marchette
2012	J	`jnl`	Betti numbers of graphs with an application to anomaly detection. Stat. Anal. Data Min. David A. Johannsen, David J. Marchette
2012	J	`jnl`	Fusion and inference from multiple data sources in a commensurate space. Stat. Anal. Data Min. Zhiliang Ma, David J. Marchette, Carey E. Priebe
2012	J	`jnl`	Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface. Stat. Anal. Data Min. Carey E. Priebe, Jeffrey L. Solka, David J. Marchette, Avory C. Bryant
2011	C	`conf`	Fusion of disparate information through joint embeddings. FUSION David J. Marchette, Jeffrey L. Solka
2010	J	`jnl`	Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs. Comput. Stat. Data Anal. Carey E. Priebe, Youngser Park, David J. Marchette, John M. Conroy, John Grothendieck, Allen L. Gorin
2008	J	`jnl`	Iterative Denoising. Comput. Stat. Kendall E. Giles, Michael W. Trosset, David J. Marchette, Carey E. Priebe
2008	J	`jnl`	Predicting unobserved links in incompletely observed networks. Comput. Stat. Data Anal. David J. Marchette, Carey E. Priebe
2007	C	`conf`	A Dynamic Graph Model for Analyzing Streaming News Documents. CIDM Elizabeth Leeds Hohman, David J. Marchette
2007	Misc	`conf`	Enhancing Text Analysis via Dimensionality Reduction. IRI David G. Underhill, Luke McDowell, David J. Marchette, Jeffrey L. Solka
2006	J	`jnl`	Data Analysis of Asymmetric Structures: Advanced Approaches in Computational Statistics. Technometrics David J. Marchette
2005	J	`jnl`	A Hierarchical Methodology for Class Detection Problems with Skewed Priors. J. Classif. Christopher K. Eveland, Diego A. Socolinsky, Carey E. Priebe, David J. Marchette
2005	J	`jnl`	Scan Statistics on Enron Graphs. Comput. Math. Organ. Theory Carey E. Priebe, John M. Conroy, David J. Marchette, Youngser Park
2004	J	`jnl`	Integrated Sensing and Processing Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. Carey E. Priebe, David J. Marchette, Dennis M. Healy Jr.
2004	J	`jnl`	Modeling computer virus prevalence with a susceptible-infected-susceptible model with reintroduction. Comput. Stat. Data Anal. John C. Wierman, David J. Marchette
2003	J	`jnl`	Bayesian Networks and Decision Graphs. Technometrics David J. Marchette
2003	J	`jnl`	Characterizing the scale dimension of a high-dimensional classification problem. Pattern Recognit. David J. Marchette, Carey E. Priebe
2003	J	`jnl`	Class cover catch digraphs for latent class discovery in gene expression monitoring by DNA microarrays. Comput. Stat. Data Anal. Carey E. Priebe, Jeffrey L. Solka, David J. Marchette, B. Ted Clark
2003	J	`jnl`	Classification Using Class Cover Catch Digraphs. J. Classif. Carey E. Priebe, David J. Marchette, Jason DeVinney, Diego A. Socolinsky
2003	J	`jnl`	Using data images for outlier detection. Comput. Stat. Data Anal. David J. Marchette, Jeffrey L. Solka
1999	—	`conf`	A Statistical Method for Profiling Network Traffic. Workshop on Intrusion Detection and Network Monitoring David J. Marchette
1999	—	`conf`	Analysis Techniques for Detecting Coordinated Attacks and Probes. Workshop on Intrusion Detection and Network Monitoring John Green, David J. Marchette, Stephen Northcutt, Bill Ralph
1999	J	`jnl`	Local dimensionality reduction. Comput. Stat. David J. Marchette, Wendy L. Poston
1998	J	`jnl`	Identification of Man-Made Regions in Unmanned Aerial Vehicle Imagery and Videos. IEEE Trans. Pattern Anal. Mach. Intell. Jeffrey L. Solka, David J. Marchette, B. C. Wallet, V. L. Irwin, George W. Rogers
1998	J	`jnl`	Recursive dimensionality reduction using Fisher's linear discriminant. Pattern Recognit. Wendy L. Poston, David J. Marchette
1998	J	`jnl`	The advanced distributed region of interest tool. Pattern Recognit. David J. Marchette, Jeffrey L. Solka, R. Guidry, John Green
1997	J	`jnl`	An analysis of local feature extraction in digital mammography. Pattern Recognit. David J. Marchette, Richard A. Lorey, Carey E. Priebe
1997	—	`conf`	Mixture-based MAP estimator for image segmentation. Visual Information Processing David J. Marchette, Jeffrey L. Solka
1997	J	`jnl`	Segmentation of Random Fields Via Borrowed Strength Density Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Carey E. Priebe, David J. Marchette, George W. Rogers
1995	J	`jnl`	Mammographic Computer-Assisted Diagnosis using Computational Statistics Pattern Recognition. Real Time Imaging Richard A. Lorey, Jeffrey L. Solka, George W. Rogers, David J. Marchette, Carey E. Priebe
1994	B	`conf`	The detection of micro-calcifications in mammographic images using high dimensional features. CBMS Jeffrey L. Solka, Wendy L. Poston, Carey E. Priebe, George W. Rogers, Richard A. Lorey, David J. Marchette, Kevin S. Woods, Kevin W. Bowyer
1993	J	`jnl`	Adaptive mixture density estimation. Pattern Recognit. Carey E. Priebe, David J. Marchette
1991	J	`jnl`	Adaptive mixtures: Recursive nonparametric pattern recognition. Pattern Recognit. Carey E. Priebe, David J. Marchette