Frank Schoeneman - researchr alias

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Viewing Publication 1 - 6 from 6

2020

Learning Manifolds from Dynamic Process DataFrank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola. algorithms, 13(2):30, 2020. [doi]

2019

High Performance Approaches for Large-Scale Non-Linear Spectral Dimensionality Reduction of Scientific DataFrank Schoeneman. PhD thesis, University at Buffalo, New York, USA, 2019. [doi]

Solving All-Pairs Shortest-Paths Problem in Large Graphs Using Apache SparkFrank Schoeneman, Jaroslaw Zola. icpp 2019: [doi]

2018

Scalable Manifold Learning for Big Data with Apache SparkFrank Schoeneman, Jaroslaw Zola. bigdataconf 2018: 272-281 [doi]

Entropy-Isomap: Manifold Learning for High-dimensional Dynamic ProcessesFrank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola. bigdataconf 2018: 1655-1660 [doi]

2017

Error Metrics for Learning Reliable Manifolds from Streaming DataFrank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola. sdm 2017: 750-758 [doi]

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