Paper Citation Record · LEDGER

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.14345.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.14345 v1

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Outbound references

Observation 7290df39-5144-4956-80a0-906fa00ad969 · outbound

This paper cites Building semi-supervised decision trees with semi-cart algorithm.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Building semi-supervised decision trees with semi-cart algorithm

Reference 1

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Deep learning for biological image classification

Reference 2

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This paper cites Review of deep learning: concepts, cnn architectures, challenges, applications, future directions.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Review of deep learning: concepts, cnn architectures, challenges, applications, future directions

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This paper cites Deep learning models for digital image processing: a review.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Deep learning models for digital image processing: a review

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This paper cites A comparison of graph construction methods for semi-supervised learning.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A comparison of graph construction methods for semi-supervised learning

Reference 5

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This paper cites Correcting data imbalance for semi- supervised covid-19 detection using x-ray chest images.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Correcting data imbalance for semi- supervised covid-19 detection using x-ray chest images

Reference 6

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This paper cites Improving uncertainty estimations for mammogram classification using semi-supervised learning.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Improving uncertainty estimations for mammogram classification using semi-supervised learning

Reference 7

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Semi- supervised learning (chapelle, o

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This paper cites Attention-based label con- sistency for semi-supervised deep learning based image classification.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Attention-based label con- sistency for semi-supervised deep learning based image classification

Reference 9

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This paper cites Cnn image retrieval learns from bow: Unsupervised fine-tuning with hard examples.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Cnn image retrieval learns from bow: Unsupervised fine-tuning with hard examples

Reference 10

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This paper cites A survey of deep learning and its applications: a new paradigm to machine learning.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A survey of deep learning and its applications: a new paradigm to machine learning

Reference 11

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A survey on deep learning and its applications

Reference 12

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This paper cites Logistic regression and artificial neural network classification models: a methodology review.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Logistic regression and artificial neural network classification models: a methodology review

Reference 13

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This paper cites Recent advances in deep learning techniques for face recognition.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Recent advances in deep learning techniques for face recognition

Reference 14

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This paper cites A survey on semi-supervised learning for delayed partially labelled data streams.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A survey on semi-supervised learning for delayed partially labelled data streams

Reference 15

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This paper cites A survey on deep learning based face recognition.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A survey on deep learning based face recognition

Reference 16

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This paper cites Self-training from labeled features for sentiment analysis.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Self-training from labeled features for sentiment analysis

Reference 17

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This paper cites When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition.

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition

Reference 18

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Model complexity of deep learning: A survey

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Survey on deep learning with class imbalance

Reference 20

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Stds: self- training data streams for mining limited labeled data in non-stationary environment

Reference 21

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Transfer learning for medical image classification: a literature review

Reference 22

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Semi-supervised learning with deep generative models

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Imagenet classification with deep convolutional neural networks

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Unlabeled data selection for active learning in image classification

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Deep learning models based on image classification: a review

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Daso: Distribution- aware semantics-oriented pseudo-label for imbalanced semi-supervised learning

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Realistic evaluation of deep semi-supervised learning algorithms

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Search datasets

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Deep co-training for semi-supervised image segmentation

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Cnn image retrieval learns from bow: Unsupervised fine-tuning with hard examples

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights The perceptron: a probabilistic model for information storage and organization in the brain

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Hybrid deep learning based semi-supervised model for medical imag- ing

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A review on graph- based semi-supervised learning methods for hyperspectral image classi- fication

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A survey on semi-, self-and unsupervised learning for image classification

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Graph-based semi- supervised learning

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Deep learning: Systematic review, models, challenges, and research directions

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Natural Language Processing Advancements By Deep Learning: A Survey

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Self-labeled techniques for semi-supervised learning: taxonomy, software and em- pirical study

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A survey on semi-supervised learning

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Comparative analysis of image classification algorithms based on traditional machine learning and deep learning

Reference 41

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Deep semi-supervised multiple instance learning with self- correction for dme classification from oct images

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights A survey on deep semi-supervised learning

Reference 43

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Recent trends in deep learning based natural language processing

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Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights Introduction to semi-supervised learning

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Pith citing papers

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