William H Woodall
Biographic Data
| ID | 243974 |
|---|---|
| NAME | William H Woodall |
| GIVEN NAMES | William H |
| FAMILY NAME | Woodall |
| SIGNATURE | WOODALL W H |
| AFFILIATIONS | Virginia Tech |
| ORCID | 0000-0002-9962-0001 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Statistical evaluation of spectral methods for anomaly detection in static networks
The topic of anomaly detection in networks has attracted a lot of attention in recent years, especially with the rise of connected devices and social networks. Anomaly detection spans a wide range of applications, from detecting terrorist cells in counter-terrorism efforts to identifying unexpected mutations during ribonucleic acid transcription. Fittingly, numerous algorithmic techniques for anomaly detection have been introduced. However, to da…
Detecting node propensity changes in the dynamic degree corrected stochastic block model
Women's Suffrage
Margaret Mary Dilke (1857–1914) was a leading campaigner for female suffrage. In 1878 she became an active member of the National Society for Women's Suffrage and later was appointed to its executive committee. After the society split in 1888, she joined the Central National Society for Women's Suffrage and was appointed treasurer in 1896. This volume, first published in 1885 as part of Charles Buxton's 'The Imperial Parliament' series, contains …
No prominent works on this page.
Women's Suffrage
Margaret Mary Dilke (1857–1914) was a leading campaigner for female suffrage. In 1878 she became an active member of the National Society for Women's Suffrage and later was appointed to its executive committee. After the society split in 1888, she joined the Central National Society for Women's Suffrage and was appointed treasurer in 1896. This volume, first published in 1885 as part of Charles Buxton's 'The Imperial Parliament' series, contains …
Detecting node propensity changes in the dynamic degree corrected stochastic block model
Statistical evaluation of spectral methods for anomaly detection in static networks
The topic of anomaly detection in networks has attracted a lot of attention in recent years, especially with the rise of connected devices and social networks. Anomaly detection spans a wide range of applications, from detecting terrorist cells in counter-terrorism efforts to identifying unexpected mutations during ribonucleic acid transcription. Fittingly, numerous algorithmic techniques for anomaly detection have been introduced. However, to da…
Artificial Intelligence (2 works) · Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Data mining (2 works) · Machine learning (2 works) · Mathematics (2 works) · Anomaly (physics (1 work) · Anomaly detection (1 work) · Anomaly Detection Techniques and Applications (1 work) · Binary number (1 work)