A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification-Reference-Cited by-同舟云学术

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A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification

Published:2024-01 Issue:1 Volume:5 Page:80-91
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Troullinou Eirini¹^ORCID,Tsagkatakis Grigorios¹^ORCID,Losonczy Attila²,Poirazi Panayiota³^ORCID,Tsakalides Panagiotis¹^ORCID

Affiliation:

1. Department of Computer Science, University of Crete, Heraklion, Greece

2. Department of Neuroscience, Columbia University, New York, NY, USA

3. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas, Heraklion, Greece

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

http://xplorestaging.ieee.org/ielx7/9078688/10384607/10054417.pdf?arnumber=10054417

Reference38 articles.

1. Data imbalance: Effects solutions for classification of large highly imbalanced data;Somasundaram,2016

2. Learning from Imbalanced Data Sets

3. A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data

4. Unfolding the effects of different forestry treatments on microclimate in oak forests: results of a 4‐yr experiment

5. SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

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1. Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection;IEEE Transactions on Artificial Intelligence;2024-09

2. Real-time temperature anomaly detection in vaccine refrigeration systems using deep learning on a resource-constrained microcontroller;Frontiers in Artificial Intelligence;2024-08-01

3. A three-stage pavement image crack detection framework with positive sample augmentation;Engineering Applications of Artificial Intelligence;2024-03

4. A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

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