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# Publications

**Visit this web page for more SCoRe related publications!**

#### 2019

F. Schoeneman, J. Zola (2019)

**Solving All-Pairs Shortest-Paths Problem in Large Graphs Using Apache Spark**. In

*Int. Conference on Parallel Processing (ICPP)*.

doi bib @InProceedings{Schoeneman2019,
author = {Schoeneman, F. and Zola, J.},
title = {Solving All-Pairs Shortest-Paths Problem in Large Graphs Using Apache Spark},
booktitle = {Int. Conference on Parallel Processing (ICPP)},
year = {2019},
doi = {10.1145/3337821.3337852},
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)*. pp. 272-281.

doi 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)},
pages = {272-281},
year = {2018},
doi = {10.1109/BigData.2018.8622617},
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)*. pp. 1655–1660.

doi 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)},
pages = {1655–1660},
year = {2018},
doi = {10.1109/BigData.2018.8622454},
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**