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Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights,
  Batch and Streaming Active Learning

Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning

23 January 2019
S. Das
M. R. Islam
Nitthilan Kanappan Jayakodi
J. Doppa
ArXivPDFHTML

Papers citing "Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning"

3 / 3 papers shown
Title
ProtoAL: Interpretable Deep Active Learning with prototypes for medical
  imaging
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging
Iury B. de A. Santos
André C.P.L.F. de Carvalho
MedIm
27
1
0
06 Apr 2024
Deep Anomaly Detection under Labeling Budget Constraints
Deep Anomaly Detection under Labeling Budget Constraints
Aodong Li
Chen Qiu
Marius Kloft
Padhraic Smyth
Stephan Mandt
Maja R. Rudolph
38
13
0
15 Feb 2023
Data-Efficient Learning via Minimizing Hyperspherical Energy
Data-Efficient Learning via Minimizing Hyperspherical Energy
Xiaofeng Cao
Weiyang Liu
Ivor W. Tsang
16
8
0
30 Jun 2022
1