Publications
Visit this web page for more SCoRe related publications!
2019
F. Schoeneman, J. Zola (2019)
Performance of All-Pairs Shortest-Paths Solvers with Apache Spark.
bib @InProceedings{Schoeneman2019,
author = {Schoeneman, F. and Zola, J.},
title = {Performance of All-Pairs Shortest-Paths Solvers with Apache Spark},
year = {2019},
archivePrefix = {arXiv},
eprint = {1902.04446},
primaryClass = {cs.DC}
}
2018
F. Schoeneman, J. Zola (2018)
Scalable Manifold Learning for Big Data with Apache Spark. In
IEEE Int. Conference on Big Data (IEEE BigData).
bib @InProceedings{Schoeneman2018b,
author = {Schoeneman, F. and Zola, J.},
title = {Scalable Manifold Learning for Big Data with Apache Spark},
booktitle = {IEEE Int. Conference on Big Data (IEEE BigData)},
year = {2018},
archivePrefix = {arXiv},
eprint = {1802.06823},
primaryClass = {cs.DC, cs.LG}
}
P. Du, A. Zebrowski, J. Zola, B. Ganapathysubramanian, O. Wodo (2018)
Microstructure Design Using Graphs.
Nature Computational Materials 4 (50)
doi bib @Article{Du2018,
author = {Du, P. and Zebrowski, A. and Zola, J. and Ganapathysubramanian, B. and Wodo, O.},
title = {Microstructure Design Using Graphs},
journal = {Nature Computational Materials},
volume = {4},
number = {50},
year = {2018},
doi = {10.1038/s41524-018-0108-5}
}
M. Blanton, A.R. Kang, S. Karan, J. Zola (2018)
Privacy Preserving Analytics on Distributed Medical Data.
bib @Article{Blanton2018,
author = {Blanton, M. and Kang, A.R. and Karan, S. and Zola, J.},
title = {Privacy Preserving Analytics on Distributed Medical Data},
year = {2018},
archivePrefix = {arXiv},
eprint = {1806.06477},
primaryClass = {cs-CR}
}
S. Karan, M. Eichhorn, B. Hurlburt, G. Iraci, J. Zola (2018)
Fast Counting in Machine Learning Applications. In
Uncertainty in Artificial Intelligence (UAI).
bib @InProceedings{Karan2018,
author = {Karan, S. and Eichhorn, M. and Hurlburt, B. and Iraci, G. and Zola, J.},
title = {Fast Counting in Machine Learning Applications},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
year = {2018},
archivePrefix = {arXiv},
eprint = {1804.04640},
primaryClass = {stat-ML}
}
F. Schoeneman, V. Chandola, N. Napp, O. Wodo, J. Zola (2018)
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes. In
IEEE Int. Conference on Big Data (IEEE BigData).
bib @InProceedings{Schoeneman2018a,
author = {Schoeneman, F. and Chandola, V. and Napp, N. and Wodo, O. and Zola, J.},
title = {Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes},
booktitle = {IEEE Int. Conference on Big Data (IEEE BigData)},
year = {2018},
archivePrefix = {arXiv},
eprint = {1802.06823},
primaryClass = {stat-ML}
}
S. Ko, L. Sassoubre, J. Zola (2018)
Applications and Challenges of Real-time Mobile DNA Analysis. In
International Workshop on Mobile Computing Systems and Applications (HotMobile). pp. 1-6.
doi bib @InProceedings{Ko2018,
author = {Ko, S. and Sassoubre, L. and Zola, J.},
title = {Applications and Challenges of Real-time Mobile DNA Analysis},
booktitle = {International Workshop on Mobile Computing Systems and Applications (HotMobile)},
pages = {1-6},
year = {2018},
doi = {10.1145/3177102.3177114},
archivePrefix = {arXiv},
eprint = {1711.07370},
primaryClass = {cs-CE}
}
2017
S. Karan, J. Zola (2017)
Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark. In
IEEE Int. Conference on High Performance Computing, Data, and Analytics (HiPC). pp. 33-41.
doi bib @InProceedings{Karan2017,
author = {Karan, S. and Zola, J.},
title = {Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark},
booktitle = {IEEE Int. Conference on High Performance Computing, Data, and Analytics (HiPC)},
pages = {33-41},
year = {2017},
doi = {10.1109/HiPC.2017.00014},
archivePrefix = {arXiv},
eprint = {1705.06390},
primaryClass = {cs-AI}
}
F. Schoeneman, S. Mahapatra, V. Chandola, N. Napp, J. Zola (2017)
Error Metrics for Learning Reliable Manifolds from Streaming Data. In
SIAM Int. Conference on Data Mining (SDM). pp. 750-758.
doi bib @InProceedings{Schoeneman2017,
author = {Schoeneman, F. and Mahapatra, S. and Chandola, V. and Napp, N. and Zola, J.},
title = {Error Metrics for Learning Reliable Manifolds from Streaming Data},
booktitle = {SIAM Int. Conference on Data Mining (SDM)},
pages = {750-758},
year = {2017},
doi = {10.1137/1.9781611974973.84},
archivePrefix = {arXiv},
eprint = {1611.04067},
primaryClass = {stat-ML}
}
2016
S. Karan, J. Zola (2016)
Exact Structure Learning of Bayesian Networks by Optimal Path Extension. In
IEEE Int. Conference on Big Data (IEEE BigData). pp. 48-55.
doi bib @InProceedings{Karan2016,
author = {Karan, S. and Zola, J.},
title = {Exact Structure Learning of Bayesian Networks by Optimal Path Extension},
booktitle = {IEEE Int. Conference on Big Data (IEEE BigData)},
pages = {48-55},
year = {2016},
doi = {10.1109/BigData.2016.7840588},
archivePrefix = {arXiv},
eprint = {1608.02682},
primaryClass = {cs-AI}
}
2015
O. Wodo, J. Zola, B.S.S. Pokuri, P. Du, B. Ganapathysubramanian (2015)
Automated, High Throughput Exploration of Process-structure-property Relationships Using the MapReduce Paradigm.
Materials Discovery 1 pp. 21-28.
doi bib @Article{Wodo2015,
author = {Wodo, O. and Zola, J. and Pokuri, B.S.S. and Du, P. and Ganapathysubramanian, B.},
title = {Automated, High Throughput Exploration of Process-structure-property Relationships Using the MapReduce Paradigm},
journal = {Materials Discovery},
volume = {1},
pages = {21-28},
year = {2015},
doi = {10.1016/j.md.2015.12.001}
}
S.K. Samudrala, J. Zola, S. Aluru, B. Ganapathysubramanian (2015)
Parallel Framework for Dimensionality Reduction of Large-Scale Datasets.
Scientific Programming doi bib @Article{Samudrala2015,
author = {Samudrala, S.K. and Zola, J. and Aluru, S. and Ganapathysubramanian, B.},
title = {Parallel Framework for Dimensionality Reduction of Large-Scale Datasets},
journal = {Scientific Programming},
year = {2015},
doi = {10.1155/2015/180214}
}
Selected SCoRe Posters
S. Karan, J. Zola: High Performance Algorithms for Learning Exact Bayesian Networks, CSE50 Graduate Symposium 2017