Enhancing the reliability of image classification using the intrinsic features-Reference-Cited by-同舟云学术

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Enhancing the reliability of image classification using the intrinsic features

Published:2023-03 Issue: Volume:263 Page:110256
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Lu Zhenyu^ORCID,Lu Yonggang^ORCID

Funder

Lanzhou University

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference48 articles.

1. High-performance large-scale image recognition without normalization;Brock,2021

2. Comparison of deep learning and human observer performance for detection and characterization of simulated lesions;De Man;J. Med. Imaging,2019

3. Recurrent models of visual attention;Mnih;Adv. Neural Inf. Process. Syst.,2014

4. Deep learning: A critical appraisal;Marcus,2018

5. Microsoft coco: Common objects in context;Lin,2014

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2. A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting;Knowledge-Based Systems;2024-04

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