Reference health

A New Fuzzy Convolutional Neural Network for Face Recognition

https://doi.org/10.2139/ssrn.4115548
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15/15 checkable references clean · checked 2026-08-27

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

26 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 15 checked references that resolve
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Receptive fields and functional architecture of monkey striate cortex
resolves10.1007/978-3-642-65340-7_3
Rods and Cones
resolves10.7763/IJCTE.2011.V3.328
Behaviour Analysis of Multilayer Perceptronswith Multiple Hidden Neurons and Hidden Layers
resolves10.1109/CSUDET.2013.6670976
Smart security system for sensitive area using face recognition
resolves10.1109/5.726791
Gradient-based learning applied to document recognition
resolves10.1126/science.1127647
Reducing the Dimensionality of Data with Neural Networks
resolves10.1007/s11263-015-0816-y
ImageNet Large Scale Visual Recognition Challenge
resolves10.1561/2200000006
Learning Deep Architectures for AI
resolves10.1016/j.neunet.2014.09.003
Deep learning in neural networks: An overview
resolves10.1113/jphysiol.1959.sp006308
Receptive fields of single neurones in the cat's striate cortex
resolves10.1113/jphysiol.1962.sp006837
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
resolves10.1007/978-3-319-11740-9_34
Mixed Pooling for Convolutional Neural Networks
resolves10.1109/TIT.2017.2776228
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
resolves10.1109/ACCESS.2019.2899367
Face Recognition Systems Under Morphing Attacks: A Survey
resolves10.1109/CVPR.2015.7298682
FaceNet: A unified embedding for face recognition and clustering
The 26 references without a DOI — listed, not checked
no DOI — not checkedref4
no DOI — not checkedDesign of face detection and recognition system for smart home security application
no DOI — not checkedFlexible, high performance convolutional neural networks for image classification
no DOI — not checkedHandwritten digit recognition with a back-propagation network
no DOI — not checkedGreedy layer-wise training of deep networks
no DOI — not checkedImageNet classification with deep convolutional neural networks
no DOI — not checkedA tutorial survey of architectures, algorithms, and applications for deep learning
no DOI — not checkedref15
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no DOI — not checkedMulti-scale orderless pooling of deep convolutional activation features
no DOI — not checkedref18
no DOI — not checkedref19
no DOI — not checkedref20
no DOI — not checkedref21
no DOI — not checkedref22
no DOI — not checkedDeepFace: Closing the Gap to Human-Level Performance in Face Verification
no DOI — not checkedref26
no DOI — not checkedRectified linear units improve restricted Boltzmann machines
no DOI — not checkedA Brief Review on Deep Learning and Types of Implementation for Deep Learning
no DOI — not checkedref32
no DOI — not checkedA taxonomy of deep convolutional neural nets for computer vision
no DOI — not checkedref34
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no DOI — not checkedFace Recognition using FaceNet (Survey, Performance Test, and Comparison)
no DOI — not checkedref40
no DOI — not checkedVGGFace2: A dataset for recognising faces across pose and age
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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