QCS: A Tool for Querying, Clustering, and Summarizing Documents. - Daniel M. Dunlavy; John M. Conroy; Dianne P. O'Leary (HLT-NAACL, 2003)

From TREC to DUC to TREC Again. - John M. Conroy; Daniel M. Dunlavy; Dianne P. O'Leary (TREC, 2003)

HOPE: A Homotopy Optimization Method for Protein Structure Prediction. - Daniel M. Dunlavy; Dianne P. O'Leary; Dmitri Klimov; D. Thirumalai (J. Comput. Biol., 2005)

QCS: A system for querying, clustering and summarizing documents. - Daniel M. Dunlavy; Dianne P. O'Leary; John M. Conroy; Judith D. Schlesinger (Inf. Process. Manag., 2007)

Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. - Evrim Acar; Daniel M. Dunlavy; Tamara G. Kolda (ICDM Workshops, 2009)

LSAView: A tool for visual exploration of latent semantic modeling. - Patricia Crossno; Daniel M. Dunlavy; Timothy M. Shead (IEEE VAST, 2009)

ParaText: scalable text modeling and analysis. - Daniel M. Dunlavy; Timothy M. Shead; Eric T. Stanton (HPDC, 2010)

Scalable Tensor Factorizations with Missing Data. - Evrim Acar; Daniel M. Dunlavy; Tamara G. Kolda; Morten Mørup (SDM, 2010)

Scalable Tensor Factorizations for Incomplete Data - Evrim Acar; Tamara G. Kolda; Daniel M. Dunlavy; Morten Mørup (CoRR, 2010)

Multilinear Algebra for Analyzing Data with Multiple Linkages. - Daniel M. Dunlavy; Tamara G. Kolda; W. Philip Kegelmeyer (Graph Algorithms in the Language of Linear Algebra, 2011)

TopicView: Visually Comparing Topic Models of Text Collections. - Patricia Crossno; Andrew T. Wilson; Timothy M. Shead; Daniel M. Dunlavy (ICTAI, 2011)

All-at-once Optimization for Coupled Matrix and Tensor Factorizations - Evrim Acar; Tamara G. Kolda; Daniel M. Dunlavy (CoRR, 2011)

Temporal Link Prediction Using Matrix and Tensor Factorizations. - Daniel M. Dunlavy; Tamara G. Kolda; Evrim Acar (ACM Trans. Knowl. Discov. Data, 2011)

Using NoSQL databases for streaming network analysis. - Brian N. Wylie; Warren L. Davis IV; Danny Dunlavy; Jeffrey Baumes (LDAV, 2012)

Topicview: Visual Analysis of Topic Models and their Impact on Document Clustering. - Patricia Crossno; Andrew T. Wilson; Timothy M. Shead; Warren L. Davis IV; Daniel M. Dunlavy (Int. J. Artif. Intell. Tools, 2013)

Advantages to modeling relational data using hypergraphs versus graphs. - Michael M. Wolf; Alicia M. Klinvex; Daniel M. Dunlavy (HPEC, 2016)

A Review of Machine Learning Applications in Fuzzing. - Gary J. Saavedra; Kathryn N. Rodhouse; Daniel M. Dunlavy; W. Philip Kegelmeyer (CoRR, 2019)

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software. - Jeremy M. Myers; Daniel M. Dunlavy; Keita Teranishi; David S. Hollman (HPEC, 2020)

SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data. - Keita Teranishi; Daniel M. Dunlavy; Jeremy M. Myers; Richard F. Barrett (HPEC, 2020)

Multimodal Deep Learning for Flaw Detection in Software Programs. - Scott Heidbrink; Kathryn N. Rodhouse; Daniel M. Dunlavy (CoRR, 2020)

Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models. - Alexis Cooper; Xin Zhou; Scott Heidbrink; Daniel M. Dunlavy (CoRR, 2020)

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis. - Jeremy M. Myers; Daniel M. Dunlavy; Keita Teranishi; David S. Hollman (CoRR, 2020)

Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods Beyond Computational Efficiency. - Jeremy M. Myers; Daniel M. Dunlavy (HPEC, 2021)

Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications. - Stephen L. Olivier; Nathan D. Ellingwood; Jonathan W. Berry; Daniel M. Dunlavy (HPEC, 2021)

Zero-Truncated Poisson Regression for Zero-Inflated Multiway Count Data. - Oscar López; Daniel M. Dunlavy; Richard B. Lehoucq (CoRR, 2022)

A Hybrid Method for Tensor Decompositions that Leverages Stochastic and Deterministic Optimization. - Jeremy M. Myers; Daniel M. Dunlavy (CoRR, 2022)

Analyzing the Performance Portability of Tensor Decomposition. - S. Isaac Geronimo Anderson; Keita Teranishi; Daniel M. Dunlavy; Jee Choi (CoRR, 2023)

Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O. - S. Isaac Geronimo Anderson; Daniel M. Dunlavy (CoRR, 2023)

Tensor decompositions for count data that leverage stochastic and deterministic optimization. - Jeremy M. Myers; Daniel M. Dunlavy (Optim. Methods Softw., 2025)