Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models | Paper Citation Record

Observation 50c88b92-c98f-48dd-8416-36df6642e9f7 · outbound

This paper cites Bf2sknet: Best deep learning features fusion-assisted framework for multiclass skin lesion classification.Neural Computing and Applications, 35(30):22115–22131, 2023.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Bf2sknet: Best deep learning features fusion-assisted framework for multiclass skin lesion classification.Neural Computing and Applications, 35(30):22115–22131, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.680555Z

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Observation 78ba1c2e-cb54-41f2-9da8-a78da6e23356 · outbound

This paper cites Edited nearest neighbor rule for improving neural networks classifications.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Edited nearest neighbor rule for improving neural networks classifications

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.672579Z

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Observation 6debf508-a859-4b85-864f-88262dafe335 · outbound

This paper cites Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm.Biomimetics, 8(3):313, 2023.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm.Biomimetics, 8(3):313, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.665264Z

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Observation 57b3c7c1-e708-409f-8c41-f426c3e70229 · outbound

This paper cites Cgo-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate mpox detection.Neural Networks, 173:106183, 2024.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Cgo-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate mpox detection.Neural Networks, 173:106183, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.657203Z

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Observation 9cd49904-5758-4839-95b0-4352076af21b · outbound

This paper cites An update of orthopoxvirus molecular evolution.Viruses, 14(2):388, 2022.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models An update of orthopoxvirus molecular evolution.Viruses, 14(2):388, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.649318Z

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Observation c9c4d1dc-a51d-469a-932c-c506a1625ea4 · outbound

This paper cites Monkeynet: A robust deep convolutional neural network for monkeypox disease detection and classification.Neural Networks, 161:757–775, 2023.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Monkeynet: A robust deep convolutional neural network for monkeypox disease detection and classification.Neural Networks, 161:757–775, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.641841Z

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Observation e7f4d33f-8884-4a4c-9e02-91cbae5fab65 · outbound

This paper cites Springer, 2006.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Springer, 2006

Reference 7

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Observation c84655ac-013a-4d1f-9b1f-1fad9cfd933a · outbound

This paper cites Resnet: Solving vanishing gradient in deep networks.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Resnet: Solving vanishing gradient in deep networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.629113Z

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Observation 1d26ebc5-709a-4757-a1ed-ca2f963704af · outbound

This paper cites Artificial intelligence—a modern approach by stuart russell and peter norvig, prentice hall.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Artificial intelligence—a modern approach by stuart russell and peter norvig, prentice hall

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.620847Z

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Observation f2f27255-fb75-4594-8b4a-ac0b2933a0a8 · outbound

This paper cites Medical image classification via svm using lbp features from saliency-based folded data.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Medical image classification via svm using lbp features from saliency-based folded data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.612945Z

Source-reported events for the cited work

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Observation cc556b84-6934-4833-83ec-bf0a21c22dde · outbound

This paper cites Application of artificial intelligence techniques for monkeypox: a systematic review.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Application of artificial intelligence techniques for monkeypox: a systematic review

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.605341Z

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Observation 864757f2-0009-4c32-9b2e-05dc531821b8 · outbound

This paper cites Smote: synthetic minority over-sampling technique.Journal of artificial intelligence research, 16:321–357, 2002.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Smote: synthetic minority over-sampling technique.Journal of artificial intelligence research, 16:321–357, 2002

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T06:06:18.189169Z

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Observation 2cc74ee5-2a49-4b1d-9e47-1a7952d99426 · outbound

This paper cites Pigmented skin disease classification via deep learning with an attention mechanism.Applied Soft Computing, 170:112571, 2025.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Pigmented skin disease classification via deep learning with an attention mechanism.Applied Soft Computing, 170:112571, 2025

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.593335Z

Source-reported events for the cited work

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Observation fbc24ef8-c9bd-4c0e-8aff-e9d3a4464595 · outbound

This paper cites A review of medical image data augmentation techniques for deep learning applications.Journal of medical imaging and radiation oncology, 65(5):545–563, 2021.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models A review of medical image data augmentation techniques for deep learning applications.Journal of medical imaging and radiation oncology, 65(5):545–563, 2021

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.586083Z

Source-reported events for the cited work

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Observation 20f5f0ff-4b7f-4db9-aae4-1a35f62a5a78 · outbound

This paper cites A novel hybrid model combining vision transformers and graph convolutional networks for monkeypox disease effective diagnosis.Information Fusion, 117:102858, 2025.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models A novel hybrid model combining vision transformers and graph convolutional networks for monkeypox disease effective diagnosis.Information Fusion, 117:102858, 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.577916Z

Source-reported events for the cited work

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Observation 01fae31b-fbc8-4ac5-b2d3-e771bccf0003 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Imagenet: A large-scale hierarchical image database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T06:06:18.199848Z

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Observation fe4bff91-417e-464e-88a0-1c2e1b75e7a5 · outbound

This paper cites Lsnet: a deep learning based method for skin lesion classification using limited samples and transfer learning.Multimedia Tools and Applications, pages 1–21, 2024.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Lsnet: a deep learning based method for skin lesion classification using limited samples and transfer learning.Multimedia Tools and Applications, pages 1–21, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.565353Z

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Observation ba68846c-cd8c-4917-bdec-180fdc5a1968 · outbound

This paper cites an unresolved cited work.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:06:18.557925Z

Source-reported events for the cited work

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Observation d71a7256-df11-43f4-8545-1f42f1834f4e · outbound

This paper cites Utilizing convolutional neural networks to classify monkeypox skin lesions.Scientific reports, 13(1):14495, 2023.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Utilizing convolutional neural networks to classify monkeypox skin lesions.Scientific reports, 13(1):14495, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.550824Z

Source-reported events for the cited work

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Observation d03f5e10-4f29-481b-a98d-bcd9ddad1d2b · outbound

This paper cites Shapiro–wilk test with known mean.REVSTAT- statistical Journal, 14(1):89–100, 2016.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Shapiro–wilk test with known mean.REVSTAT- statistical Journal, 14(1):89–100, 2016

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.542916Z

Source-reported events for the cited work

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Observation b47e6f68-36b9-4acb-ba41-970d12c15121 · outbound

This paper cites Deep residual learning for image recognition.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Deep residual learning for image recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T06:06:18.214485Z

Source-reported events for the cited work

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Observation b232c408-a3a7-43eb-a6ff-4f0c7084f989 · outbound

This paper cites Artificial intelligence in dermatology—where we are and the way to the future: a review.American journal of clinical dermatology, 21:41–47, 2020.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Artificial intelligence in dermatology—where we are and the way to the future: a review.American journal of clinical dermatology, 21:41–47, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.530502Z

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Observation e29569fb-134a-40b5-8ec7-5eb61067ec48 · outbound

This paper cites Resnet 50.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Resnet 50

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.522650Z

Source-reported events for the cited work

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Observation 483fbfb6-5737-48b4-82a2-e5daadf0bf07 · outbound

This paper cites Federated deep learning for monkeypox disease detection on gan-augmented dataset.IEEE Access, 2024.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Federated deep learning for monkeypox disease detection on gan-augmented dataset.IEEE Access, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.515063Z

Source-reported events for the cited work

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Observation 8d1087b7-49a8-4c8e-a45d-7bb3592a8bac · outbound

This paper cites Deep learning.nature, 521(7553):436–444, 2015.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Deep learning.nature, 521(7553):436–444, 2015

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Resolution: unresolved; no resolver link, observed 2026-08-07T06:06:18.226739Z

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Observation c7e70a65-4fc7-4d30-bf51-25c28e798b75 · outbound

This paper cites Classification of cardiac arrhythmia of 12 lead ecg using combination of smoteenn, xgboost and machine learning algorithms.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Classification of cardiac arrhythmia of 12 lead ecg using combination of smoteenn, xgboost and machine learning algorithms

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.501497Z

Source-reported events for the cited work

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Observation 9407bd08-8859-4c90-9062-7f57676442a2 · outbound

This paper cites Mox-net: Multi-stage deep hybrid feature fusion and selection framework for monkeypox classification.Expert Systems with Applications, 255:124584, 2024.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Mox-net: Multi-stage deep hybrid feature fusion and selection framework for monkeypox classification.Expert Systems with Applications, 255:124584, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.492982Z

Source-reported events for the cited work

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Observation aad4a8a2-e96e-4939-bf57-8536b73c0825 · outbound

This paper cites Mann-whitney u test.The Corsini encyclopedia of psychology, pages 1–1, 2010.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Mann-whitney u test.The Corsini encyclopedia of psychology, pages 1–1, 2010

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.483895Z

Source-reported events for the cited work

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Observation 2145d3a3-caab-4d92-bc4b-c00888ea0770 · outbound

This paper cites Monkeypox.The Lancet, 401(10370):60–74, 2023.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Monkeypox.The Lancet, 401(10370):60–74, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.474334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dd2e94b0-093f-437f-9d32-e06c53858e51 · outbound

This paper cites Towards a guideline for evaluation metrics in medical image segmentation.BMC Research Notes, 15(1):210, 2022.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Towards a guideline for evaluation metrics in medical image segmentation.BMC Research Notes, 15(1):210, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.466123Z

Source-reported events for the cited work

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Observation 93491d33-2e0e-4269-aaa7-b1886dcb6df3 · outbound

This paper cites The who declaration of monkeypox as a global public health emergency.Jama, 328(7):615–617, 2022.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models The who declaration of monkeypox as a global public health emergency.Jama, 328(7):615–617, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.457524Z

Source-reported events for the cited work

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Observation 7668769e-d1db-4143-9b20-db98f4718866 · outbound

This paper cites An innovative deep learning framework for skin cancer detection employing convnextv2 and focal self-attention mechanisms.Results in Engineering, 25:103692, 2025.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models An innovative deep learning framework for skin cancer detection employing convnextv2 and focal self-attention mechanisms.Results in Engineering, 25:103692, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.448917Z

Source-reported events for the cited work

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Observation 4a3ce6ca-8b40-48e1-821f-26807788ac6f · outbound

This paper cites Data classification with k-fold cross validation and holdout accuracy estimation methods with 5 different machine learning techniques.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Data classification with k-fold cross validation and holdout accuracy estimation methods with 5 different machine learning techniques

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Source-reported events for the cited work

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Observation dad8d103-bc5f-4ffa-85e6-87b9716ca2fe · outbound

This paper cites Orthopox viruses: infections in humans.Transfusion Medicine and Hemotherapy, 37(6):351, 2010.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Orthopox viruses: infections in humans.Transfusion Medicine and Hemotherapy, 37(6):351, 2010

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Source-reported events for the cited work

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Observation 9e776ffe-95ad-4f56-9c1c-369a9a06b3d5 · outbound

This paper cites Automatic assessment of alzheimer’s disease diagnosis based on deep learning techniques.Computers in biology and medicine, 120:103764, 2020.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Automatic assessment of alzheimer’s disease diagnosis based on deep learning techniques.Computers in biology and medicine, 120:103764, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.423035Z

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Observation 48b47951-e3d3-48c7-8005-ddd9bdc87314 · outbound

This paper cites an unresolved cited work.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-07T06:06:18.413678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a70cc469-f589-458f-8664-21c6f590e694 · outbound

This paper cites Alsufiani, and Faris A Almalki.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Alsufiani, and Faris A Almalki

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Observation 6847ea57-23fb-4560-8e75-f5a6f99869ec · outbound

This paper cites An increasing danger of zoonotic orthopoxvirus infections.PLoS pathogens, 9(12):e1003756, 2013.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models An increasing danger of zoonotic orthopoxvirus infections.PLoS pathogens, 9(12):e1003756, 2013

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a555b3c6-b21e-4151-befc-de5269f9cdc9 · outbound

This paper cites Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata.BMC medicine, 22(1):296, 2024.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata.BMC medicine, 22(1):296, 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c88112b-2517-4909-82a2-447ebe4c1e1b · outbound

This paper cites Dscc_net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images.Cancers, 15(7):2179, 2023.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Dscc_net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images.Cancers, 15(7):2179, 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b37706f-c0db-4570-81db-60822b50ad31 · outbound

This paper cites Skin cancer detection using ensemble of machine learning and deep learning techniques.Multimedia Tools and Applications, 82(18):27501– 27524, 2023.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Skin cancer detection using ensemble of machine learning and deep learning techniques.Multimedia Tools and Applications, 82(18):27501– 27524, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.364594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c93347ac-a259-4009-9816-3625006140e1 · outbound

This paper cites Unext: Mlp-based rapid medical image segmentation network.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Unext: Mlp-based rapid medical image segmentation network

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c067c9f5-9a46-48b7-be27-50045ee51df1 · outbound

This paper cites Multi-classification of skin lesion images including mpox disease using transformer-based deep learning architectures.Diagnostics, 15(3):374, 2025.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Multi-classification of skin lesion images including mpox disease using transformer-based deep learning architectures.Diagnostics, 15(3):374, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.348444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f01b246b-33f5-4f1b-8512-733d82a779f7 · outbound

This paper cites Data-centric artificial intelligence: A survey.ACM Computing Surveys, 57(5):1–42, 2025.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Data-centric artificial intelligence: A survey.ACM Computing Surveys, 57(5):1–42, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.339972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0471b2cf-5690-48d6-8955-c945820dcc97 · outbound

This paper cites Detection of ovarian tumors in obstetric ultrasound imaging using logistic regression classifier with an advanced machine learning approach.IEEE Access, 8:44999–45008, 2020.

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Detection of ovarian tumors in obstetric ultrasound imaging using logistic regression classifier with an advanced machine learning approach.IEEE Access, 8:44999–45008, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:06:18.331636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a210812-f5da-4bd9-99e5-c7f89136461b · outbound

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Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models Rotation invariant convolutions for 3d point clouds deep learning

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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