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Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

Computer methods and programs in biomedicine, 2020-04, Vol.187, p.105242-105242, Article 105242

2020

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A Survey on Machine Learning Techniques for Cyber Security in the Last Decade

IEEE access, 2020, Vol.8, p.222310-222354

2020

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Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity

Energies (Basel), 2020-05, Vol.13 (10), p.2509

2020

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The emerging role of artificial intelligence in multiple sclerosis imaging

Multiple Sclerosis Journal, 2022-05, Vol.28 (6), p.849-858

2022

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A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data

IEEE access, 2021, Vol.9, p.109960-109975

2021

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A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.1902

2023

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A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection

Information (Basel), 2022-12, Vol.13 (12), p.576

2022

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An Investigation of Credit Card Default Prediction in the Imbalanced Datasets

IEEE access, 2020, Vol.8, p.201173-201198

2020

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Computer-Aided Diagnosis of Coal Workers' Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review

International journal of environmental research and public health, 2022-05, Vol.19 (11), p.6439

2022

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A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure

IEEE access, 2020-01, Vol.8, p.133377-133402

2020

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Does Context Matter? Effective Deep Learning Approaches to Curb Fake News Dissemination on Social Media

Applied sciences, 2023-03, Vol.13 (5), p.3345

2023

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Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network

Applied sciences, 2024-05, Vol.14 (9), p.3928

2024

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Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors

PloS one, 2011-07, Vol.6 (7), p.e21896-e21896

2011

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The Power of Context: A Novel Hybrid Context-Aware Fake News Detection Approach

Information (Basel), 2024-03, Vol.15 (3), p.122

2024

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Cross-Domain Fake News Detection Using a Prompt-Based Approach

Future internet, 2024-08, Vol.16 (8), p.286

2024

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What is Core and What Future Holds for Blockchain Technologies and Cryptocurrencies: A Bibliometric Analysis

IEEE access, 2021, Vol.9, p.989-1004

2021

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Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

Machine learning and knowledge extraction, 2024-02, Vol.6 (1), p.464-505

2024

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An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset

Diagnostics (Basel), 2022-08, Vol.12 (9), p.2115

2022

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A Novel Method for Performance Measurement of Public Educational Institutions Using Machine Learning Models

Applied sciences, 2021-10, Vol.11 (19), p.9296

2021

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Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography

Journal of clinical medicine, 2022-09, Vol.11 (18), p.5342

2022

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Trends and Directions of Financial Technology (Fintech) in Society and Environment: A Bibliometric Study

Applied sciences, 2021-11, Vol.11 (21), p.10353

2021

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A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning

Plants (Basel), 2022-07, Vol.11 (15), p.1925

2022

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Hierarchical affective content analysis in arousal and valence dimensions

Signal processing, 2013-08, Vol.93 (8), p.2140-2150

2013

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3D Face Reconstruction From Single 2D Image Using Distinctive Features

IEEE access, 2020, Vol.8, p.180681-180689

2020

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A novel deep learning-based approach for malware detection

Engineering applications of artificial intelligence, 2023-06, Vol.122, p.106030, Article 106030

2023

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Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

A Survey on Machine Learning Techniques for Cyber Security in the Last Decade

Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity

The emerging role of artificial intelligence in multiple sclerosis imaging

A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data

A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models

A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection

An Investigation of Credit Card Default Prediction in the Imbalanced Datasets

Computer-Aided Diagnosis of Coal Workers' Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review

A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure

Does Context Matter? Effective Deep Learning Approaches to Curb Fake News Dissemination on Social Media

Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network

Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors

The Power of Context: A Novel Hybrid Context-Aware Fake News Detection Approach

Cross-Domain Fake News Detection Using a Prompt-Based Approach

What is Core and What Future Holds for Blockchain Technologies and Cryptocurrencies: A Bibliometric Analysis

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset

A Novel Method for Performance Measurement of Public Educational Institutions Using Machine Learning Models

Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography

Trends and Directions of Financial Technology (Fintech) in Society and Environment: A Bibliometric Study

A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning

Hierarchical affective content analysis in arousal and valence dimensions

3D Face Reconstruction From Single 2D Image Using Distinctive Features

A novel deep learning-based approach for malware detection

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