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Paper Citation Record · LEDGER

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data

As of 8 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2506.04479.

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

pith.paper-citation-record.v1
2506.04479 v1

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measured 76 of 76 reference resolution

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Reference resolution

76 of 76 outbound references displayed

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Outbound references

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This paper cites Application of Artificial Intelligence for Diagnosing Tumors in the Female Reproductive System: A Systematic Review.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Application of Artificial Intelligence for Diagnosing Tumors in the Female Reproductive System: A Systematic Review

Reference 1

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This paper cites Automated quantification of vesicoureteral reflux using machine learning with advancing diagnostic precision.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Automated quantification of vesicoureteral reflux using machine learning with advancing diagnostic precision

Reference 2

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This paper cites Guardians of the Web: Harnessing Machine Learning to Combat Phishing Attacks.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Guardians of the Web: Harnessing Machine Learning to Combat Phishing Attacks

Reference 3

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This paper cites From Complexity to Clarity: Data and Metadata.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data From Complexity to Clarity: Data and Metadata

Reference 4

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This paper cites Phishing Website Detection Using Machine Learning.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Phishing Website Detection Using Machine Learning

Reference 5

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This paper cites Optimizing Resource Discovery in Grid Computing: A Hierarchical and Weighted Approach with Behavioral Modeling.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Optimizing Resource Discovery in Grid Computing: A Hierarchical and Weighted Approach with Behavioral Modeling

Reference 6

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Observation 6739ecbe-bb6a-486e-9279-c887c4474eba · outbound

This paper cites Real-Time UAV Recognition Through Advanced Machine Learning for Enhanced Military Surveillance.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Real-Time UAV Recognition Through Advanced Machine Learning for Enhanced Military Surveillance

Reference 7

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Observation 3f54ea9e-19aa-47f2-8592-1fbbfc7faf87 · outbound

This paper cites AI Rx: Revolutionizing Healthcare Through Intelligence, Innovation, and Ethics.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data AI Rx: Revolutionizing Healthcare Through Intelligence, Innovation, and Ethics

Reference 8

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This paper cites Application of Artificial Intelligence for Diagnosing Tumors in the Female Reproductive System: A Systematic Review.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Application of Artificial Intelligence for Diagnosing Tumors in the Female Reproductive System: A Systematic Review

Reference 9

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This paper cites Evaluating AI and Machine Learning Models in Breast Cancer Detection: A Review of Convolutional Neural Networks (CNN) and Global Research Trends.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Evaluating AI and Machine Learning Models in Breast Cancer Detection: A Review of Convolutional Neural Networks (CNN) and Global Research Trends

Reference 10

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This paper cites Comparative Study of Classification Mechanisms of Machine Learning on Multiple Data Mining Tool Kits.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Comparative Study of Classification Mechanisms of Machine Learning on Multiple Data Mining Tool Kits

Reference 11

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Observation cd2f81e8-6e42-494e-848c-fa8f197bbd83 · outbound

This paper cites AI in the Sky: Developing Real-Time UAV Recognition Systems to Enhance Military Security.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data AI in the Sky: Developing Real-Time UAV Recognition Systems to Enhance Military Security

Reference 12

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Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Skywatch: Advanced Machine Learning Techniques for Distinguishing UAVs from Birds in Airspace Security

Reference 13

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This paper cites Automating Web Data Collection: Challenges, Solutions, and Python-Based Strategies for Effective Web Scraping.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Automating Web Data Collection: Challenges, Solutions, and Python-Based Strategies for Effective Web Scraping

Reference 19

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This paper cites Comparative Analysis of Advanced Data Mining Methods for Enhancing Medical Diagnosis and Prognosis.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Comparative Analysis of Advanced Data Mining Methods for Enhancing Medical Diagnosis and Prognosis

Reference 20

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This paper cites Enhancing Internet-based Resource Discovery: The Efficacy of Distributed Quadtree Overlay.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Enhancing Internet-based Resource Discovery: The Efficacy of Distributed Quadtree Overlay

Reference 21

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Observation fd6c61c7-0ac4-4610-b517-2e0fbf78556a · outbound

This paper cites Enhanced Resource Discovery Algorithm for Efficient Grid Computing.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Enhanced Resource Discovery Algorithm for Efficient Grid Computing

Reference 22

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Observation edbabfaa-bcb2-4fbe-8aa2-6df9c994d231 · outbound

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Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Advanced Landslide Detection Using Machine Learning and Remote Sensing Data

Reference 23

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Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Advanced ensemble machine learning techniques for optimizing diabetes mellitus prognostication: A detailed examination of hospital data

Reference 24

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Observation 867c02c3-24a9-4124-8837-f25406813a20 · outbound

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Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Enhancing Image Cryptography Performance with Block Left Rotation Operations

Reference 25

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This paper cites Harnessing Machine Learning for Quantifying Vesicoureteral Reflux: A Promising Approach for Objective Assessment.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Harnessing Machine Learning for Quantifying Vesicoureteral Reflux: A Promising Approach for Objective Assessment

Reference 26

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Observation dd5cfd7b-3330-47b4-93e1-b6d83676d408 · outbound

This paper cites An artificial intelligence system using machine- learning for automatic detection and classification of dental restorations in panoramic radiography.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data An artificial intelligence system using machine- learning for automatic detection and classification of dental restorations in panoramic radiography

Reference 27

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Observation bcf75eec-640e-4238-bd9a-0eb474501d4b · outbound

This paper cites A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System

Reference 28

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Observation 6b17ef21-78a9-4e57-a025-1f1b044028a9 · outbound

This paper cites Advancements in Dental Diagnostics: YOLOv3-Powered Machine Learning for Automated Teeth Problem Detection.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Advancements in Dental Diagnostics: YOLOv3-Powered Machine Learning for Automated Teeth Problem Detection

Reference 29

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Observation 252cbe31-2754-46f5-a2fd-3694d37efc8c · outbound

This paper cites Trajectories of Dental Caries From Childhood to Young Adulthood: Unsupervised Machine Learning Approach.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Trajectories of Dental Caries From Childhood to Young Adulthood: Unsupervised Machine Learning Approach

Reference 30

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Observation b246d5f6-2406-48fd-b54d-ef423c755639 · outbound

This paper cites Forecasting of the Dental Workforce with Machine Learning Models.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Forecasting of the Dental Workforce with Machine Learning Models

Reference 31

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Observation ea5b7063-c300-4351-80f8-0fec0c436fce · outbound

This paper cites A Machine Learning Approach for Determination of Gender of Sri Lankan People by Using the Dental Arch Dimensions.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data A Machine Learning Approach for Determination of Gender of Sri Lankan People by Using the Dental Arch Dimensions

Reference 32

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Observation fac1d90b-7eca-4c54-a0d3-bc87682ea489 · outbound

This paper cites Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Data and Metadata.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Data and Metadata

Reference 33

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Observation c4d808cb-c14e-4021-90ab-a4ca68dccc90 · outbound

This paper cites Automated machine learning for image-based detection of dental plaque on permanent teeth.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Automated machine learning for image-based detection of dental plaque on permanent teeth

Reference 34

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Observation f00b8885-992b-410c-ba27-ccab764ab3fc · outbound

This paper cites Model Proposal for Equity Production in Access to Dental Specialty Centers.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Model Proposal for Equity Production in Access to Dental Specialty Centers

Reference 35

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Observation acef8126-36ff-4168-a863-0de0407e2480 · outbound

This paper cites Dental Age Estimation in Northern Chinese Han Children and Adolescents Using Demirjian’s Method Combined with Machine Learning Algorithms.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Dental Age Estimation in Northern Chinese Han Children and Adolescents Using Demirjian’s Method Combined with Machine Learning Algorithms

Reference 36

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Observation a5314d7e-bfe6-4fda-a582-46dba5c5b712 · outbound

This paper cites Study on Detecting the Teeth and Classifying the Teeth Structure using Machine Learning and CNN.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Study on Detecting the Teeth and Classifying the Teeth Structure using Machine Learning and CNN

Reference 37

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Observation fc756481-2e5d-44b5-a106-36f5b9318bd8 · outbound

This paper cites Using a machine learning algorithm to predict the likelihood of presence of dental caries among children aged 2 to 7.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Using a machine learning algorithm to predict the likelihood of presence of dental caries among children aged 2 to 7

Reference 38

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Observation 94bbf370-02c9-4760-bea2-dd1fe5072989 · outbound

This paper cites Application of Machine Learning For Prediction Dental Material Wear.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Application of Machine Learning For Prediction Dental Material Wear

Reference 39

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Observation 5fcde1b9-0500-4947-b968-1264d1b1a563 · outbound

This paper cites Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods

Reference 40

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Observation dfd1e44e-5fae-4634-8cfb-5bada293e009 · outbound

This paper cites Novel applications of artificial intelligence, machine learning, and deep learning-based modalities in dental traumatology: An overview of evidence-based literature.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Novel applications of artificial intelligence, machine learning, and deep learning-based modalities in dental traumatology: An overview of evidence-based literature

Reference 41

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Observation 953848e4-2ab5-4e97-b5b4-43e455966cdd · outbound

This paper cites Advancing Medical Image Analysis: The Role of Adaptive Optimization Techniques in Enhancing COVID-19 Detection, Lung Infection, and Tumor Segmentation.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Advancing Medical Image Analysis: The Role of Adaptive Optimization Techniques in Enhancing COVID-19 Detection, Lung Infection, and Tumor Segmentation

Reference 42

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Observation 37a8ea51-3ce7-40d4-8cdb-3d1732c07f2b · outbound

This paper cites Doctor Adam Talib’s Public Relations Strategy in Improving the Quality of Patient Service.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Doctor Adam Talib’s Public Relations Strategy in Improving the Quality of Patient Service

Reference 43

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Observation ed89eeba-fec6-4010-b449-02f13357cfd4 · outbound

This paper cites Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals

Reference 44

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Observation 948084b7-2f52-41d4-acbb-53ae1200400a · outbound

This paper cites Prostate Cancer Detection and Analysis using Advanced Machine Learning.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Prostate Cancer Detection and Analysis using Advanced Machine Learning

Reference 45

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Observation df81e5fa-5f61-4cbe-a911-ad4542f2a4a8 · outbound

This paper cites The Two Sides of AI in Cybersecurity: Opportunities and Challenges.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data The Two Sides of AI in Cybersecurity: Opportunities and Challenges

Reference 46

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Observation ea63ab71-36da-4cb3-8d4f-ae1ac67b8333 · outbound

This paper cites A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes

Reference 47

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Observation 75f89ebc-ffe0-4877-ba17-7c3cca8984df · outbound

This paper cites A Comparative Study of Machine Learning Techniques for Early Prediction of Prostate Cancer.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data A Comparative Study of Machine Learning Techniques for Early Prediction of Prostate Cancer

Reference 48

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Observation 00656fdc-0cd1-42c2-93b4-ec44e439d099 · outbound

This paper cites Early Diagnosis of Diabetes: A Comparison of Machine Learning Methods.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Early Diagnosis of Diabetes: A Comparison of Machine Learning Methods

Reference 50

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Observation dcf09104-7f09-4e4f-b50e-3c57d9fd9799 · outbound

This paper cites Pushing the Envelope: Investigating the Potential and Limitations of ChatGPT and Artificial Intelligence in Advancing Computer Science Research.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Pushing the Envelope: Investigating the Potential and Limitations of ChatGPT and Artificial Intelligence in Advancing Computer Science Research

Reference 51

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Observation e0078fbd-dcf8-479b-9a56-f276d7917720 · outbound

This paper cites Survey on Patient Health Monitoring System Based on Internet of Things.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Survey on Patient Health Monitoring System Based on Internet of Things

Reference 52

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Observation c9574dea-2a1e-4a8d-aaf1-d48e51a8643e · outbound

This paper cites Semantic Text Analysis on Social Networks and Data Processing: Review and Future Directions.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Semantic Text Analysis on Social Networks and Data Processing: Review and Future Directions

Reference 53

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Observation daa82e7a-2dce-4f68-9017-7780a97eda71 · outbound

This paper cites Nodexl Tool for Social Network Analysis.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Nodexl Tool for Social Network Analysis

Reference 54

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Observation ef68c9ee-ecff-4e15-9798-d4725207a2a5 · outbound

This paper cites Enhanced logistics information service systems performance: using theoretical model and cybernetics’ principles.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Enhanced logistics information service systems performance: using theoretical model and cybernetics’ principles

Reference 55

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Observation cb2af677-d07a-45a3-b54a-35d00a8d2e02 · outbound

This paper cites A novel adaptive schema to facilitates playback switching technique for video delivery in dense LTE cellular heterogeneous network environments.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data A novel adaptive schema to facilitates playback switching technique for video delivery in dense LTE cellular heterogeneous network environments

Reference 56

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Observation c3e7eeff-69fd-4584-91b1-c842613f4ff1 · outbound

This paper cites Toward achieving self-resource discovery in distributed systems based on distributed quadtree.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Toward achieving self-resource discovery in distributed systems based on distributed quadtree

Reference 57

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Observation cb2d36ae-5097-4b3e-b43c-51a4ae62a7e8 · outbound

This paper cites Resource discovery mechanisms in shared computing infrastructure: A survey.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Resource discovery mechanisms in shared computing infrastructure: A survey

Reference 58

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Observation 86864c9c-9e45-419d-a703-c6dc9893b3eb · outbound

This paper cites Evaluation of knowledge quality in the E -learning system.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Evaluation of knowledge quality in the E -learning system

Reference 59

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Observation 1a84f41d-987e-4552-863b-2827e3df3669 · outbound

This paper cites An Effective Self-Adaptive Policy for Optimal Video Quality over Heterogeneous Mobile Devices and Network Discovery Services.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data An Effective Self-Adaptive Policy for Optimal Video Quality over Heterogeneous Mobile Devices and Network Discovery Services

Reference 60

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Observation d815e4d9-1ecc-48b9-80b5-7eb228292dff · outbound

This paper cites An advanced emergency warning message scheme based on vehicles speed and traffic densities.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data An advanced emergency warning message scheme based on vehicles speed and traffic densities

Reference 61

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Observation 5dea9325-0009-49c3-b927-92ac907775dd · outbound

This paper cites Internet of things between reality or a wishing - list : a survey.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Internet of things between reality or a wishing - list : a survey

Reference 62

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Observation 38828753-64c2-4a4a-8984-9af9a5206cdc · outbound

This paper cites Gene Microarray Cancer classification using correlation based feature selection algorithm and rules classifiers.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Gene Microarray Cancer classification using correlation based feature selection algorithm and rules classifiers

Reference 63

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Observation b498aa75-527f-42ec-b73f-c15151522342 · outbound

This paper cites The modern hosting computing systems for small and medium businesses.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data The modern hosting computing systems for small and medium businesses

Reference 64

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Observation 19d187fe-77f9-4008-8d84-01f461c87373 · outbound

This paper cites an unresolved cited work.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Unresolved cited work

Reference 65

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Observation a00c71a1-4df3-4143-b6a0-6caaf56ef1c5 · outbound

This paper cites Distributed quadtree overlay for resource discovery in shared computing infrastructure.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Distributed quadtree overlay for resource discovery in shared computing infrastructure

Reference 66

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Observation 502b1060-511e-4e0b-ad97-45276f908a9b · outbound

This paper cites Dynamic network topology for resource discovery in shared computing infrastructure.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Dynamic network topology for resource discovery in shared computing infrastructure

Reference 67

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Observation 70dfbe6f-c99e-4ffe-b7d7-1aac372ce51c · outbound

This paper cites Mahmuddin ASCA.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Mahmuddin ASCA

Reference 68

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Observation 4d314ca3-0989-4181-9acd-130337df1eb2 · outbound

This paper cites Towards autonomic overlay self-load balancing.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Towards autonomic overlay self-load balancing

Reference 69

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Observation 379cb08f-394f-4975-b3b8-1b650f751723 · outbound

This paper cites Diabetes Prediction and Management Using Machine Learning Approaches.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Diabetes Prediction and Management Using Machine Learning Approaches

Reference 70

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Observation 3dd10d14-1703-40e8-b58c-3d33e94d100d · outbound

This paper cites Echoes in the Genome: Smoking’s Epigenetic Fingerprints and Bidirectional Neurobiological Pathways in Addiction and Disease.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Echoes in the Genome: Smoking’s Epigenetic Fingerprints and Bidirectional Neurobiological Pathways in Addiction and Disease

Reference 71

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Observation 710baab0-04b6-421c-883f-1637f99265a9 · outbound

This paper cites Ranked features selection with MSBRG algorithm and rules classifiers for cervical cancer.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Ranked features selection with MSBRG algorithm and rules classifiers for cervical cancer

Reference 72

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Observation 51ef57f4-a50b-4f66-9943-81745c63194c · outbound

This paper cites Integrating the principal component analysis with partial decision tree in microarray gene data.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Integrating the principal component analysis with partial decision tree in microarray gene data

Reference 73

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Observation 270fe8cd-4d1c-4de0-bff8-b9342bddfddb · outbound

This paper cites Peer to Peer Resource Discovery Mechanisms in Grid Computing : A Critical Review.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Peer to Peer Resource Discovery Mechanisms in Grid Computing : A Critical Review

Reference 74

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Observation 055193e9-f0dd-4b3d-b3a5-04d5ba8066b2 · outbound

This paper cites An improved binary crow-JAYA optimisation system with various evolution operators, such as mutation for finding the max clique in the dense graph.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data An improved binary crow-JAYA optimisation system with various evolution operators, such as mutation for finding the max clique in the dense graph

Reference 75

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Observation 3ecf60c1-cb4f-4c87-9ab3-d4f767a402de · outbound

This paper cites An improved discreet Jaya optimisation algorithm with mutation operator and opposition-based learning to solve the 0-1 knapsack problem.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data An improved discreet Jaya optimisation algorithm with mutation operator and opposition-based learning to solve the 0-1 knapsack problem

Reference 76

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Observation 8c58e03d-3c6f-4416-ac8c-e673b31282b7 · outbound

This paper cites From Puffs to Predictions: Leveraging AI, Wearables, and Biomolecular Signatures to Decode Smoking’s Multidimensional Impact on Cardiovascular Health.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data From Puffs to Predictions: Leveraging AI, Wearables, and Biomolecular Signatures to Decode Smoking’s Multidimensional Impact on Cardiovascular Health

Reference 77

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This paper cites Testing the probability of heart disease using classification and regression tree model.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Testing the probability of heart disease using classification and regression tree model

Reference 78

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Observation af4b8513-62fc-47da-ac16-5d622fbb6c99 · outbound

This paper cites Towards self-resource discovery and selection models in grid computing.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Towards self-resource discovery and selection models in grid computing

Reference 79

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Observation 633ee3ff-a40d-478b-8efe-dcb6fa51ca11 · outbound

This paper cites A Comparative Study on Deep Learning and Machine Learning Models for Human Action Recognition in Aerial Videos.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data A Comparative Study on Deep Learning and Machine Learning Models for Human Action Recognition in Aerial Videos

Reference 80

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Observation 056688a4-a8e8-46b0-ad18-f726d525c26c · outbound

This paper cites Modified recursive least squares algorithm to train the hybrid multilayered perceptron (HMLP) network.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Modified recursive least squares algorithm to train the hybrid multilayered perceptron (HMLP) network

Reference 81

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Observation 65fd2910-643c-4cf9-8a66-dcf81a6bd5a4 · outbound

This paper cites Towards Self-Organizing Infrastructure : A New Architecture for Autonomic Green Cloud Data Centers.

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data Towards Self-Organizing Infrastructure : A New Architecture for Autonomic Green Cloud Data Centers

Reference 82

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Pith citing papers

No inbound Pith citation observations are available.