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Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A
  Benchmarking Study

Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study

11 February 2024
Santonu Sarkar
Shanay Mehta
Nicole Fernandes
Jyotirmoy Sarkar
Snehanshu Saha
ArXivPDFHTML

Papers citing "Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study"

3 / 3 papers shown
Title
Towards Unbiased Evaluation of Time-series Anomaly Detector
Towards Unbiased Evaluation of Time-series Anomaly Detector
Debarpan Bhattacharya
Sumanta Mukherjee
Chandramouli Kamanchi
Vijay Ekambaram
Arindam Jati
Pankaj Dayama
AI4TS
26
0
0
19 Sep 2024
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly
  Detection in Tabular Data
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data
Ahmed Anwar
Brian B. Moser
Dayananda Herurkar
Federico Raue
Vinit Hegiste
T. Legler
Andreas Dengel
FedML
24
0
0
08 Aug 2024
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Siwon Kim
K. Choi
Hyun-Soo Choi
Byunghan Lee
Sungroh Yoon
AI4TS
75
144
0
11 Sep 2021
1