Daniel M. Dunlavy - researchr alias

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Viewing Publication 1 - 17 from 17

2021

Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods Beyond Computational EfficiencyJeremy M. Myers, Daniel M. Dunlavy. hpec 2021: 1-7 [doi]

Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science ApplicationsStephen L. Olivier, Nathan D. Ellingwood, Jonathan W. Berry, Daniel M. Dunlavy. hpec 2021: 1-8 [doi]

2020

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition SoftwareJeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman. hpec 2020: 1-7 [doi]

SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson DataKeita Teranishi, Daniel M. Dunlavy, Jeremy M. Myers, Richard F. Barrett. hpec 2020: 1-7 [doi]

2016

Advantages to modeling relational data using hypergraphs versus graphsMichael M. Wolf, Alicia M. Klinvex, Daniel M. Dunlavy. hpec 2016: 1-7 [doi]

2013

Topicview: Visual Analysis of Topic Models and their Impact on Document ClusteringPatricia Crossno, Andrew T. Wilson, Timothy M. Shead, Warren L. Davis IV, Daniel M. Dunlavy. ijait, 22(5), 2013. [doi]

2011

TopicView: Visually Comparing Topic Models of Text CollectionsPatricia Crossno, Andrew T. Wilson, Timothy M. Shead, Daniel M. Dunlavy. ictai 2011: 936-943 [doi]

Multilinear Algebra for Analyzing Data with Multiple LinkagesDaniel M. Dunlavy, Tamara G. Kolda, W. Philip Kegelmeyer. In Jeremy Kepner, John Gilbert, editors, Graph Algorithms in the Language of Linear Algebra. Volume 22 of Software, environments, tools, pages 85-114, SIAM, 2011. [doi]

Temporal Link Prediction Using Matrix and Tensor FactorizationsDaniel M. Dunlavy, Tamara G. Kolda, Evrim Acar. tkdd, 5(2):10, 2011. [doi]

2010

Scalable Tensor Factorizations with Missing DataEvrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup. sdm 2010: 701-712 [doi]

ParaText: scalable text modeling and analysisDaniel M. Dunlavy, Timothy M. Shead, Eric T. Stanton. hpdc 2010: 344-347 [doi]

2009

Link Prediction on Evolving Data Using Matrix and Tensor FactorizationsEvrim Acar, Daniel M. Dunlavy, Tamara G. Kolda. icdm 2009: 262-269 [doi]

LSAView: A tool for visual exploration of latent semantic modelingPatricia Crossno, Daniel M. Dunlavy, Timothy M. Shead. ieeevast 2009: 83-90 [doi]

2007

QCS: A system for querying, clustering and summarizing documentsDaniel M. Dunlavy, Dianne P. O Leary, John M. Conroy, Judith D. Schlesinger. ipm, 43(6):1588-1605, 2007. [doi]

2005

HOPE: A Homotopy Optimization Method for Protein Structure PredictionDaniel M. Dunlavy, Dianne P. O Leary, Dmitri Klimov, D. Thirumalai. jcb, 12(10):1275-1288, 2005. [doi]

2003

From TREC to DUC to TREC AgainJohn M. Conroy, Daniel M. Dunlavy, Dianne P. O Leary. trec 2003: 293-302 [doi]

QCS: A Tool for Querying, Clustering, and Summarizing DocumentsDaniel M. Dunlavy, John M. Conroy, Dianne P. O Leary. naacl 2003: [doi]

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