Multi-label classification using a cascade of stacked autoencoder and extreme learning machines-Reference-Cited by-同舟云学术

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Multi-label classification using a cascade of stacked autoencoder and extreme learning machines

Published:2019-09 Issue: Volume:358 Page:222-234
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Law Anwesha^ORCID,Ghosh Ashish^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Pattern Recognition and Machine Learning (Information Science and Statistics);Bishop,2006

2. Neural Networks: A Comprehensive Foundation;Haykin,2008

3. Multilabel Classification: Problem Analysis, Metrics and Techniques;Herrera,2016

4. Multilabel neural networks with applications to functional genomics and text categorization;Zhang;IEEE Trans. Knowl. Data Eng.,2006

5. A kernel method for multi-labelled classification;Elisseeff,2002

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2. Improving Neural Network-Based Multi-Label Classification With Pattern Loss Penalties;IEEE Access;2024

3. Autoencoder and Extreme Learning Machine Based Deep Multi-label Classifier;Lecture Notes in Computer Science;2024

4. Multi-Sensor Fuzzy Interval Multi-Attribute Decision Fusion Method;2023 China Automation Congress (CAC);2023-11-17

5. Multi-Label Remote Sensing Image Land Cover Classification Based on a Multi-Dimensional Attention Mechanism;Remote Sensing;2023-10-16

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