Daniel Dunlavy - Concepedia

Author

Daniel Dunlavy

Also Known As

Carlos Llosa, D. M. Dunlavy, DANIEL M. DUNLAVY, Daniel Dunlavy, Daniel M Dunlavy, Daniel M. Dunlavy, Davis, Warren Leon,, Dunlavy, Daniel, Dunlavy, Daniel M, Dunlavy, Daniel M.

131

Publications

2.3K

Citations

H-Index

Concepts

All Affiliations

Sandia National Laboratories Sandia National Laboratories California University of Maryland, College Park Technical University of Denmark

About

Daniel Dunlavy is an author at Sandia National Laboratories specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	14	1.9K
2	Business	3	3	455
3	Language Studies	1	1	34
4	Medicine	1	1	33
5	Natural Sciences	1	1	33

Daniel Dunlavy

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Scalable tensor factorizations for incomplete data Evrim Acar, Daniel Dunlavy, Tamara G. Kolda, Chemometrics and Intelligent Laboratory Systems EngineeringMachine LearningData ScienceData MiningMatrix Factorization	2010	623
A scalable optimization approach for fitting canonical tensor decompositions Evrim Acar, Daniel Dunlavy, Tamara G. Kolda Journal of Chemometrics Low-rank ApproximationSparse RepresentationEngineeringMachine LearningData Science	2011	301
All-at-once Optimization for Coupled Matrix and Tensor Factorizations Evrim Acar, Tamara G. Kolda, Daniel Dunlavy arXiv (Cornell University) EngineeringMachine LearningText MiningInformation RetrievalData Science	2011	245
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations Evrim Acar, Daniel Dunlavy, Tamara G. Kolda EngineeringMachine LearningTemporal Link PredictionNetwork AnalysisLink Prediction	2009	154
Scalable Tensor Factorizations with Missing Data Evrim Acar, Daniel Dunlavy, Tamara G. Kolda, Sparse RepresentationEngineeringMachine LearningData ScienceData Mining	2010	134
Formulations for Surrogate-Based Optimization with Data Fit, Multifidelity, and Reduced-Order Models Michael Eldred, Daniel Dunlavy 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference Mathematical ProgrammingNumerical AnalysisLarge-scale Global OptimizationEngineeringData Fit	2006	119
QCS: A system for querying, clustering and summarizing documents Daniel Dunlavy, Dianne P. O’Leary, John M. Conroy, Information Processing & Management Natural Language ProcessingDocument ClusteringEngineeringInformation RetrievalData Science	2007	86
Advantages to modeling relational data using hypergraphs versus graphs Michael M. Wolf, Alicia Klinvex, Daniel Dunlavy EngineeringHypergraph ModelsNetwork AnalysisGraph DatabaseSemantic Web	2016	56
TopicView: Visually Comparing Topic Models of Text Collections Patricia J. Crossno, Andrew T. Wilson, Timothy M. Shead, EngineeringSemantic WebTopic ViewText MiningNatural Language Processing	2011	34
HOPE: A Homotopy Optimization Method for Protein Structure Prediction Daniel Dunlavy, Dianne P. O’Leary, Dmitri K. Klimov, Journal of Computational Biology Protein ModelBiomolecular Structure PredictionProtein FoldingNatural SciencesComputational Biology	2005	33

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