An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm | Paper Citation Record

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This paper cites Classification of breast tumors based on histopathology images using deep features and ensemble of gradient boosting methods.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Classification of breast tumors based on histopathology images using deep features and ensemble of gradient boosting methods

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems

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This paper cites A novel international monkeypox outbreak.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm A novel international monkeypox outbreak

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Unresolved cited work

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This paper cites Monkeypox virus in nigeria: Infection biology, epidemiology, and evolution.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Monkeypox virus in nigeria: Infection biology, epidemiology, and evolution

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This paper cites Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm A transfer learning approach for clinical detection support of monkeypox skin lesions

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This paper cites Monkeypox and measles detection using cnn with vgg-16 transfer learning.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Monkeypox and measles detection using cnn with vgg-16 transfer learning

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This paper cites Shamim Hossain, Mohammad Alamgir Hossain, Md.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Shamim Hossain, Mohammad Alamgir Hossain, Md

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Algorithms for hyper-parameter optimization

Reference 10

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This paper cites The rise of artificial intelligence in healthcare applications, pages 25--60.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm The rise of artificial intelligence in healthcare applications, pages 25--60

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This paper cites Reminder of the first paper on transfer learning in neural networks, 1976.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Reminder of the first paper on transfer learning in neural networks, 1976

Reference 12

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This paper cites 2022-2023 mpox outbreak global map, 2022.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm 2022-2023 mpox outbreak global map, 2022

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Unresolved cited work

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Machine assistance in energy-efficient building design: A predictive framework toward dynamic interaction with human decision-making under uncertainty

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This paper cites Breast cancer–detection system using pca, multilayer perceptron, transfer learning, and support vector machine.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Breast cancer–detection system using pca, multilayer perceptron, transfer learning, and support vector machine

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Xception: Deep learning with depthwise separable convolutions

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Support-vector networks

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Imagenet: A large-scale hierarchical image database

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Hybrid whale and gray wolf deep learning optimization algorithm for prediction of alzheimer’s disease

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Smote-xgboost using tree parzen estimator optimization for copper flotation method classification

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Ngboost: natural gradient boosting for probabilistic prediction

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Revealing brain tumor using cross-validated ngboost classifier

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Detection of monkeypox cases based on symptoms using xgboost and shapley additive explanations methods

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This paper cites Monkeypox- a menacing challenge or an endemic? Annals of Medicine & Surgery, 79, 7 2022.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Monkeypox- a menacing challenge or an endemic? Annals of Medicine & Surgery, 79, 7 2022

Reference 25

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Unresolved cited work

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Furey, Nello Cristianini, Nigel Duffy, David W

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Diagnosis of parkinson’s disease based on voice signals using shap and hard voting ensemble method

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Q-learning embedded sine cosine algorithm (qlesca)

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This paper cites Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Harris hawks optimization: Algorithm and applications

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm A novel feature-engineered–ngboost machine-learning framework for fraud detection in electric power consumption data

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Monkeypox skin lesion detection with mobilenetv2 and vggnet models

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This paper cites Can artificial intelligence detect monkeypox from digital skin images? bioRxiv, 2022.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Can artificial intelligence detect monkeypox from digital skin images? bioRxiv, 2022

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Machine learning-based modeling of the environmental degradation, institutional quality, and economic growth

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm The image classification method with cnn-xgboost model based on adaptive particle swarm optimization

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Svm and pca based fault classification approaches for complicated industrial process

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (xgboost)

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm A survey of feature selection and feature extraction techniques in machine learning

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Koenig, Christian K

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Gendelman, and Siddappa N

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm An overview of mixing augmentation methods and augmentation strategies

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm High-spatiotemporal-resolution dynamic water monitoring using lightgbm model and sentinel-2 msi data

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm On feature normalization and data augmentation

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Analysis and visualization of accidents severity based on lightgbm-tpe

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Reynolds, Zach Braden, Darin S

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An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Myszczynska, Poojitha N

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This paper cites S, and Shashikiran Umakanth.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm S, and Shashikiran Umakanth

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.321717Z

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Observation 29cb4ded-497a-4f1e-8e95-8f7a59e0ca8c · outbound

This paper cites Rajendra Acharya.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Rajendra Acharya

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.326651Z

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Observation acd5cfed-0a4f-4f1d-b7b7-d0147ec0e03e · outbound

This paper cites Bansal, and Ranjan K.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Bansal, and Ranjan K

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.331628Z

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Observation d4806a27-ad4d-480a-a0ea-91688a267346 · outbound

This paper cites Image normalization for pattern recognition.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Image normalization for pattern recognition

Reference 52

Resolution: verified exact; doi, observed 2026-08-16T10:41:21.584509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a075ac2-34f8-4330-9afe-5dbfc72295fc · outbound

This paper cites Discriminative ridge machine: A classifier for high-dimensional data or imbalanced data.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Discriminative ridge machine: A classifier for high-dimensional data or imbalanced data

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.342291Z

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Observation e3e2f340-5b72-4036-ba0a-56cfd741b61e · outbound

This paper cites Human monkeypox.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Human monkeypox

Reference 54

Resolution: verified exact; doi, observed 2026-08-16T10:41:21.568577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c283d97-3e20-4db3-9901-9ae96e2c9fb6 · outbound

This paper cites Monkeypox detection from skin lesion images using an amalgamation of cnn models aided with beta function-based normalization scheme.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Monkeypox detection from skin lesion images using an amalgamation of cnn models aided with beta function-based normalization scheme

Reference 55

Resolution: verified exact; doi, observed 2026-08-16T10:41:21.552468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8336e5f-21b7-4b6b-bfa4-4c0188f67db5 · outbound

This paper cites Puschnik, Amrita Kumar, Cynthia Goldsmith, Jillybeth Burgado, Suryaprakash Sambhara, Victoria A.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Puschnik, Amrita Kumar, Cynthia Goldsmith, Jillybeth Burgado, Suryaprakash Sambhara, Victoria A

Reference 56

Resolution: verified exact; doi, observed 2026-08-16T10:41:21.535688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 833807c1-0329-49d0-902c-d3bfa408300b · outbound

This paper cites Rizk, Giuseppe Lippi, Brandon M.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Rizk, Giuseppe Lippi, Brandon M

Reference 57

Resolution: verified exact; doi, observed 2026-08-16T10:41:21.520292Z

Source-reported events for the cited work

correction dated 2022-08-22. Source: crossref record 10.1007/s40265-022-01767-3->10.1007/s40265-022-01742-y:correction, observed 2026-07-11T02:56:49.965804+00:00. This notice travels one citation hop only.

Observation 5caeecb8-09dd-4242-b3ca-a6bcb9ddcb6c · outbound

This paper cites A Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm A Comparative Analysis of CNN-Based Pretrained Models for the Detection and Prediction of Monkeypox

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:41:22.352135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ff522a3-ac60-4e9c-8f1f-a66f43b070de · outbound

This paper cites Human monkeypox classification from skin lesion images with deep pre-trained network using mobile application.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Human monkeypox classification from skin lesion images with deep pre-trained network using mobile application

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.373312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b74a0585-af51-4ab1-9965-51992190e1d6 · outbound

This paper cites Ae-lgbm: Sequence-based novel approach to detect interacting protein pairs via ensemble of autoencoder and lightgbm.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Ae-lgbm: Sequence-based novel approach to detect interacting protein pairs via ensemble of autoencoder and lightgbm

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.378459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ac452a-5e8d-4472-8bd8-980d07afa3a2 · outbound

This paper cites Monkeypox virus detection using pre-trained deep learning-based approaches.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Monkeypox virus detection using pre-trained deep learning-based approaches

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.383442Z

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Unavailable: canonical work link unavailable.

Observation 1a9b9be5-a4c4-4ca3-81c8-3304849207c0 · outbound

This paper cites A hybrid improved whale optimization algorithm.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm A hybrid improved whale optimization algorithm

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.388656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc89aa40-74a3-4a31-8bc3-dd825b9b68c4 · outbound

This paper cites Monkeypox: A potential global threat? Journal of Medical Virology, 94: 0 4034--4036, 9 2022.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Monkeypox: A potential global threat? Journal of Medical Virology, 94: 0 4034--4036, 9 2022

Reference 63

Resolution: verified exact; doi, observed 2026-08-16T10:41:21.482305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e068ddee-8007-42c4-b16b-d6ceec462a74 · outbound

This paper cites Modified artificial gorilla troop optimization algorithm for solving constrained engineering optimization problems.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Modified artificial gorilla troop optimization algorithm for solving constrained engineering optimization problems

Reference 64

Resolution: verified exact; doi, observed 2026-08-16T10:41:21.464821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90378f56-d76d-4914-92f2-8ba709d2aa89 · outbound

This paper cites an unresolved cited work.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.405028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 429a82ba-63ba-48f2-bbc5-e3c27ff5ebbc · outbound

This paper cites Deep forest.

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm Deep forest

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:21.409929Z

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