Nicholas O. Malott

According to our database, Nicholas O. Malott authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Computation of persistent homology on streaming data using topological data summaries.

Anindya Moitra, Nicholas O. Malott, Philip A. Wilsey

Comput. Intell., October, 2023

A Survey on the High-Performance Computation of Persistent Homology.

Nicholas O. Malott, Shangye Chen, Philip A. Wilsey

IEEE Trans. Knowl. Data Eng., May, 2023

Scalable Homology Classification through Decomposed Euler Characteristic Curves.

Nicholas O. Malott, Philip A. Wilsey

Proceedings of the IEEE International Conference on Big Data, 2023

Generating High Dimensional Test Data for Topological Data Analysis.

Rohit P. Singh, Nicholas O. Malott, Blake Sauerwein, Neil Mcgrogan, Philip A. Wilsey

Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

2022

Homology-Separating Triangulated Euler Characteristic Curve.

Nicholas O. Malott, Robert R. Lewis, Philip A. Wilsey

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Distributed Computation of Persistent Homology from Partitioned Big Data.

Nicholas O. Malott, Rishi R. Verma, Rohit P. Singh, Philip A. Wilsey

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional Data.

Rishi R. Verma, Nicholas O. Malott, Philip A. Wilsey

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Persistent Homology on Streaming Data.

Anindya Moitra, Nicholas O. Malott, Philip A. Wilsey

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Topology Preserving Data Reduction for Computing Persistent Homology.

Nicholas O. Malott, Aaron M. Sens, Philip A. Wilsey

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Fast Computation of Persistent Homology with Data Reduction and Data Partitioning.

Nicholas O. Malott, Philip A. Wilsey

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Cluster-based Data Reduction for Persistent Homology.

Anindya Moitra, Nicholas O. Malott, Philip A. Wilsey

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018