Publications


Visit this web page for more SCoRe related publications!

2022 (3)
  • J. Niu, J. Zola, A.E. Sariyuce (2022) Counting Induced 6-Cycles in Bipartite Graphs. In International Conference on Parallel Processing (ICPP). bibtex
  • B.O. Turkkan, T. Dai, T. Kosar, C. Chen, M.F. Bulut, J. Zola, D. Sow (2022) GreenABR: Energy‐Aware Adaptive Bitrate Streaming with Deep Reinforcement Learning. In ACM Multimedia Systems Conference (MMSys). bibtex
  • V. Zheng, A.E. Sariyuce, J. Zola (2022) Identifying Taxonomic Units in Metagenomic DNA Streams on Mobile Devices. IEEE/ACM Transactions on Computational Biology and Bioinformatics doi bibtex
2021 (2)
  • S. Mullin, J. Zola, R. Lee, J. Hu, B. MacKenzie, A. Brickman, G. Anaya, S. Sinha, A. Li, P.L. Elkin (2021) Longitudinal K-Means Approaches to Clustering and Analyzing EHR Opioid Use Trajectories for Clinical Subtypes. Journal of Biomedical Informatics 122 doi web bibtex
  • N. Juneja, J. Zola, V. Chandola, O. Wodo (2021) Graph-based Strategy for Establishing Morphology Similarity. In International Conference on Scientific and Statistical Database Management (SSDBM). pp. 169–180. doi bibtex
2020 (3)
  • V. Zheng, A.E. Sariyuce, J. Zola (2020) Identifying Taxonomic Units in Metagenomic DNA Streams. In International Workshop on Data Mining in Bioinformatics (BIOKDD). doi bibtex
  • M.M. Javanmard, Z. Ahmad, J. Zola, R. Pouchet, R. Harrison (2020) Efficient Execution of Dynamic Programming Algorithms on Apache Spark. In IEEE Cluster. doi bibtex
  • F. Schoeneman, V. Chandola, N. Napp, O. Wodo, J. Zola (2020) Learning Manifolds from Dynamic Process Data. MDPI Algorithms 13 (30) doi bibtex
2019 (1)
  • F. Schoeneman, J. Zola (2019) Solving All-Pairs Shortest-Paths Problem in Large Graphs Using Apache Spark. In International Conference on Parallel Processing (ICPP). doi bibtex
2018 (7)
  • J. Zola, N. Fillmore, R. Samudrala, N. Mushi, M. Brophy, N. Do (2018) Bayesian Network Model of Multiple Myeloma Patients Based on Pharmaceutical Records. bibtex
  • P. Du, A. Zebrowski, J. Zola, B. Ganapathysubramanian, O. Wodo (2018) Microstructure Design Using Graphs. Nature Computational Materials 4 (50) doi bibtex
  • M. Blanton, A.R. Kang, S. Karan, J. Zola (2018) Privacy Preserving Analytics on Distributed Medical Data. bibtex
  • S. Karan, M. Eichhorn, B. Hurlburt, G. Iraci, J. Zola (2018) Fast Counting in Machine Learning Applications. In Uncertainty in Artificial Intelligence (UAI). bibtex
  • F. Schoeneman, V. Chandola, N. Napp, O. Wodo, J. Zola (2018) Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes. In IEEE International Conference on Big Data (IEEE BigData). pp. 1655–1660. doi bibtex
  • F. Schoeneman, J. Zola (2018) Scalable Manifold Learning for Big Data with Apache Spark. In IEEE International Conference on Big Data (IEEE BigData). pp. 272-281. doi bibtex
  • 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 bibtex
2017 (2)
  • S. Karan, J. Zola (2017) Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark. In IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC). pp. 33-41. doi bibtex
  • F. Schoeneman, S. Mahapatra, V. Chandola, N. Napp, J. Zola (2017) Error Metrics for Learning Reliable Manifolds from Streaming Data. In SIAM International Conference on Data Mining (SDM). pp. 750-758. bibtex
2016 (1)
  • S. Karan, J. Zola (2016) Exact Structure Learning of Bayesian Networks by Optimal Path Extension. In IEEE International Conference on Big Data (IEEE BigData). pp. 48-55. doi bibtex
2015 (3)
  • 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 bibtex
  • N. Clauvelin, P. Lo, O.I. Kulaeva, E.V. Nizovtseva, J. Diaz-Montes, J. Zola, M. Parashar, V.M. Studitsky, W.K. Olson (2015) Nucleosome Positioning and Composition Modulate In Silico Chromatin Flexibility. Journal of Physics: Condensed Matter 27 (6) pp. 064112. doi bibtex
  • S.K. Samudrala, J. Zola, S. Aluru, B. Ganapathysubramanian (2015) Parallel Framework for Dimensionality Reduction of Large-Scale Datasets. Scientific Programming doi bibtex


Selected SCoRe Posters

  • S. Karan, J. Zola: High Performance Algorithms for Learning Exact Bayesian Networks, CSE50 Graduate Symposium 2017