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RoZetta Institute

Australia

5 papers here1.5k citations across 5
fields
  • cs.LG2
  • cs.CL1
  • cs.CV1
  • math.OC1
ROR 02ex29a12OpenAlex

affiliations via OpenAlex

output
20172019
most citedDeep Learning for Anomaly Detection: A Survey

1.2k citations

researchers with a paper here
  • Raghavendra Chalapathy3 · h 9
  • S. Chawla2 · h 45
  • A. Menon1 · h 44
  • Andrzej Ruszczynski1 · h 2
  • E. Toth1 · h 2
  • E. Z. Borzeshi1 · h 8
  • Inigo Jauregi Unanue1 · h 8
  • Jianing Yao1 · h 3
  • M. Piccardi1 · h 33
  • Sanjay Chawla1 · h 2
collaborating institutions
  • The University of SydneyAU3 papers
  • Hamad bin Khalifa UniversityQA2 papers
  • Australian National UniversityAU1 paper
  • Commonwealth Scientific and Industrial Research OrganisationAU1 paper
  • Data61AU1 paper
  • Rutgers, The State University of New JerseyUS1 paper
  • University of Technology SydneyAU1 paper
Showing 2018Show all

2 papers · 1 filter

cs.CV2018★ 3 cited

Group Anomaly Detection using Deep Generative Models

Raghavendra Chalapathy, Edward Toth, Sanjay Chawla

Unlike conventional anomaly detection research that focuses on point anomalies, our goal is to detect anomalous collections of individual data points. In particular, we perform gro…

cs.LG2018★ 187 cited

Anomaly Detection using One-Class Neural Networks

Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla

We propose a one-class neural network (OC-NN) model to detect anomalies in complex data sets. OC-NN combines the ability of deep networks to extract a progressively rich representa…

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