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M. Chignell

3 papers hereh-index 8252 citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC2
  • cs.LG1
same name
  • M. Chignell — 3 papers, h 36

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedUnsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection

1 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.HC2024★ 1 cited

The Model Mastery Lifecycle: A Framework for Designing Human-AI Interaction

Mark Chignell, Mu-Huan Miles Chung, Jaturong Kongmanee +2

The utilization of AI in an increasing number of fields is the latest iteration of a long process, where machines and systems have been replacing humans, or changing the roles that…

cs.HC2024

Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies

Mu-Huan Miles Chung, Sharon Li, Jaturong Kongmanee +7

Redacted emails satisfy most privacy requirements but they make it more difficult to detect anomalous emails that may be indicative of data exfiltration. In this paper we develop a…

cs.LG2023★ 1 cited

Unsupervised Learning of Distributional Properties can Supplement Human Labeling and Increase Active Learning Efficiency in Anomaly Detection

Jaturong Kongmanee, Mark Chignell, Khilan Jerath +1

Exfiltration of data via email is a serious cybersecurity threat for many organizations. Detecting data exfiltration (anomaly) patterns typically requires labeling, most often done…

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