William Hendrix
According to our database1,
William Hendrix
authored at least 32 papers
between 2009 and 2019.
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Bibliography
2019
Predicting Success for Computer Science Students in CS2 using Grades in Previous Courses.
Proceedings of the IEEE Frontiers in Education Conference, 2019
2017
The Application of the Weighted <i>k</i>-Partite Graph Problem to the Multiple Alignment for Metabolic Pathways.
J. Comput. Biol., 2017
2016
On size-constrained minimum s-t cut problems and size-constrained dense subgraph problems.
Theor. Comput. Sci., 2016
Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication.
Proceedings of the High Performance Computing - 31st International Conference, 2016
Proceedings of the International Conference on Computational Science 2016, 2016
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016
2015
Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce.
Proceedings of the Symposium on High Performance Computing, 2015
Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015
2014
Supercomput. Front. Innov., 2014
Memory-efficient Query-driven Community Detection with Application to Complex Disease Associations.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the International Conference for High Performance Computing, 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Discovery of extreme events-related communities in contrasting groups of physical system networks.
Data Min. Knowl. Discov., 2013
A scalable algorithm for single-linkage hierarchical clustering on distributed-memory architectures.
Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013
Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective.
Proceedings of the 2nd International Workshop on Big Data, 2013
2012
J. Intell. Inf. Syst., 2012
Proceedings of the Transition of HPC Towards Exascale Computing, 2012
Proceedings of the 19th International Conference on High Performance Computing, 2012
2011
DENSE: efficient and prior knowledge-driven discovery of phenotype-associated protein functional modules.
BMC Syst. Biol., 2011
Sensitive and Specific Identification of Protein Complexes in "Perturbed" Protein Interaction Networks from Noisy Pull-Down Data.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011
Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction.
Proceedings of the IJCAI 2011, 2011
Biclustering-Driven Ensemble of Bayesian Belief Network Classifiers for Underdetermined Problems.
Proceedings of the IJCAI 2011, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
2010
Theor. Comput. Sci., 2010
Proceedings of the ICDMW 2010, 2010
Proceedings of the ICDMW 2010, 2010
Discovery of Enriched Biological Motifs Using Knowledge Priors with Application to Biohydrogen Production.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010
2009
On perturbation theory and an algorithm for maximal clique enumeration in uncertain and noisy graphs.
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009
pR: Lightweight, Easy-to-Use Middleware to Plugin Parallel Analytical Computing with R.
Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009
PR: Automatic parallelization of data-parallel statistical computing codes for R in hybrid multi-node and multi-core environments.
Proceedings of the IADIS International Conference Applied Computing 2009, 2009