46 citations · 145 across the 6 of their papers we have counts for
6 papers
Active Anomaly Detection for time-domain discoveries
Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev +7
We present the first evidence that adaptive learning techniques can boost the discovery of unusual objects within astronomical light curve data sets. Our method follows an active l…
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning
Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi +1
In many real-world AD applications including computer security and fraud prevention, the anomaly detector must be configurable by the human analyst to minimize the effort on false…
GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning
Md Rakibul Islam, Shubhomoy Das, Janardhan Rao Doppa +1
Human analysts that use anomaly detection systems in practice want to retain the use of simple and explainable global anomaly detectors. In this paper, we propose a novel human-in-…
Active Anomaly Detection via Ensembles
Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi +1
In critical applications of anomaly detection including computer security and fraud prevention, the anomaly detector must be configurable by the analyst to minimize the effort on f…
Incorporating Feedback into Tree-based Anomaly Detection
Shubhomoy Das, Weng-Keen Wong, Alan Fern +2
Anomaly detectors are often used to produce a ranked list of statistical anomalies, which are examined by human analysts in order to extract the actual anomalies of interest. Unfor…
A Meta-Analysis of the Anomaly Detection Problem
Andrew Emmott, Shubhomoy Das, Thomas Dietterich +2
This article provides a thorough meta-analysis of the anomaly detection problem. To accomplish this we first identify approaches to benchmarking anomaly detection algorithms across…