Richard V. Field Jr.

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 9

Top Topics

Transfer Learning

Detecting Anomalies

Boundary Detection

Sampling Theorem

Top Venues

Monte Carlo Methods Appl.

IEEE Trans. Signal Process.

Publications

Jeremy D. Wendt, Richard V. Field Jr., Cynthia Phillips, Arvind Prasadan, Tegan Wilson, Sucheta Soundarajan, Sanjukta Bhowmick
Partitioning Communication Streams Into Graph Snapshots. IEEE Trans. Netw. Sci. Eng. 10 (2) (2023)
Richard V. Field Jr., Tu-Thach Quach, Christina L. Ting
Efficient Generalized Boundary Detection Using a Sliding Information Distance. IEEE Trans. Signal Process. 68 (2020)
Christina L. Ting, Richard V. Field Jr., Tu-Thach Quach, Travis L. Bauer
Generalized Boundary Detection Using Compression-based Analytics. ICASSP (2019)
Christina L. Ting, Renee Gooding, Richard V. Field Jr., Jacob Caswell
Reordering Genomic Sequences for Enhanced Classification via Compression Analytics. ICMLA (2019)
Christina L. Ting, Richard V. Field Jr., Andrew N. Fisher, Travis L. Bauer
Compression Analytics for Classification and Anomaly Detection Within Network Communication. IEEE Trans. Inf. Forensics Secur. 14 (5) (2019)
Jacek Skryzalin, Hamilton Link, Jeremy D. Wendt, Richard V. Field Jr., Samuel N. Richter
Efficient Transfer Learning for Neural Network Language Models. ASONAM (2018)
Jacek Skryzalin, Richard V. Field Jr., Andrew N. Fisher, Travis L. Bauer
Temporal Anomaly Detection in Social Media. ASONAM (2017)
Hamilton Link, Jeremy D. Wendt, Richard V. Field Jr., Jocelyn Marthe
Estimating users' mode transition functions and activity levels from social media. ASONAM (2017)
Jeremy D. Wendt, Randy Wells, Richard V. Field Jr., Sucheta Soundarajan
On data collection, graph construction, and sampling in Twitter. ASONAM (2016)
Richard V. Field Jr., Mircea Grigoriu, Clark R. Dohrmann
An algorithm for on-the-fly generation of samples of non-stationary Gaussian processes based on a sampling theorem. Monte Carlo Methods Appl. 19 (2) (2013)