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Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection

Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection

22 October 2019
Hamed Sarvari
C. Domeniconi
Bardh Prenkaj
Giovanni Stilo
    UQCV
ArXivPDFHTML

Papers citing "Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection"

7 / 7 papers shown
Title
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
41
30
0
11 Jan 2024
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery
  Detection
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection
Weihua Liu
Lin Li
Chaochao Lin
Said Boumaraf
CVBM
36
0
0
08 Oct 2023
Are we certain it's anomalous?
Are we certain it's anomalous?
Alessandro Flaborea
Bardh Prenkaj
Bharti Munjal
Marco Aurelio Sterpa
Dario Aragona
L. Podo
Fabio Galasso
24
8
0
16 Nov 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
31
30
0
21 Oct 2022
How to boost autoencoders?
How to boost autoencoders?
S. Krishna
Thulasi Tholeti
Sheetal Kalyani
15
0
0
28 Oct 2021
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders
  Ensemble
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
M. Massi
F. Ieva
Francesca Gasperoni
A. Paganoni
11
7
0
22 Mar 2021
Autoencoding with a Classifier System
Autoencoding with a Classifier System
R. Preen
Stewart W. Wilson
Larry Bull
AI4CE
14
12
0
23 Oct 2019
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