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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

SN computer science, 2021, Vol.2 (6), p.420-420, Article 420

Sarker, Iqbal H.

2021

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Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset

SN computer science, 2021-02, Vol.2 (1), p.11-11, Article 11

2021

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Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients’ Recovery

SN computer science, 2020, Vol.1 (4), p.206-206, Article 206

2020

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A survey on Bayesian network structure learning from data

Progress in artificial intelligence, 2019-12, Vol.8 (4), p.425-439

2019

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Heart Disease Prediction using Machine Learning Techniques

SN computer science, 2020-11, Vol.1 (6), p.345, Article 345

2020

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A new approach for the vanishing gradient problem on sigmoid activation

Progress in artificial intelligence, 2020-12, Vol.9 (4), p.351-360

2020

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Gradient Boosted Decision Tree Algorithms for Medicare Fraud Detection

SN computer science, 2021-07, Vol.2 (4), p.268, Article 268

2021

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A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings

Progress in artificial intelligence, 2019-12, Vol.8 (4), p.401-424

2019

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A chaotic and hybrid gray wolf-whale algorithm for solving continuous optimization problems

Progress in artificial intelligence, 2021-09, Vol.10 (3), p.349-374

2021

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Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review

SN computer science, 2022, Vol.3 (1), p.74-74, Article 74

2022

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Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey

SN computer science, 2022-01, Vol.3 (4), p.286-286, Article 286

2022

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A survey on the vulnerability of deep neural networks against adversarial attacks

Progress in artificial intelligence, 2022-06, Vol.11 (2), p.131-141

2022

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Combining Deep Learning with Good Old-Fashioned Machine Learning

SN computer science, 2023-01, Vol.4 (1), p.85, Article 85

Sipper, Moshe

2023

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A Review of Feature Extraction and Classification Techniques in Speech Recognition

SN computer science, 2023-11, Vol.4 (6), p.777, Article 777

2023

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A New Lane-Changing Model with Consideration of Driving Style

International journal of ITS research, 2019-09, Vol.17 (3), p.181-189

2019

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Challenges and Emerging Trends for Machine Reading of the Mind from Facial Expressions

SN computer science, 2024-01, Vol.5 (1), p.103, Article 103

Ghazouani, Haythem

2024

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Predictive Supervised Machine Learning Models for Diabetes Mellitus

SN computer science, 2020, Vol.1 (5), p.240-240, Article 240

2020

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Supervision system of english online teaching based on machine learning

Progress in artificial intelligence, 2023-06, Vol.12 (2), p.187-198

2023

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An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images

SN computer science, 2022, Vol.3 (1), p.13-13, Article 13

2022

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Facial Landmark-Based Human Emotion Recognition Technique for Oriented Viewpoints in the Presence of Facial Attributes

SN computer science, 2023-05, Vol.4 (3), p.273, Article 273

2023

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Enhancing Intrusion Detection Systems with Reinforcement Learning: A Comprehensive Survey of RL-based Approaches and Techniques

SN computer science, 2024-06, Vol.5 (6), p.665, Article 665

2024

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Machine Learning for Unmanned Aerial Vehicles Navigation: An Overview

SN computer science, 2024-02, Vol.5 (2), p.256, Article 256

2024

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Hybrid Deep Learning Model for Paediatric Cardiac Anomaly Detection and Classification

SN computer science, 2024-06, Vol.5 (5), p.642, Article 642

2024

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A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations

Progress in artificial intelligence, 2019-04, Vol.8 (1), p.1-14

2019

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Application of Deep Learning for Code Smell Detection: Challenges and Opportunities

SN computer science, 2024-06, Vol.5 (5), p.614, Article 614

2024

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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset

Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients’ Recovery

A survey on Bayesian network structure learning from data

Heart Disease Prediction using Machine Learning Techniques

A new approach for the vanishing gradient problem on sigmoid activation

Gradient Boosted Decision Tree Algorithms for Medicare Fraud Detection

A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings

A chaotic and hybrid gray wolf-whale algorithm for solving continuous optimization problems

Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review

Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey

A survey on the vulnerability of deep neural networks against adversarial attacks

Combining Deep Learning with Good Old-Fashioned Machine Learning

A Review of Feature Extraction and Classification Techniques in Speech Recognition

A New Lane-Changing Model with Consideration of Driving Style

Challenges and Emerging Trends for Machine Reading of the Mind from Facial Expressions

Predictive Supervised Machine Learning Models for Diabetes Mellitus

Supervision system of english online teaching based on machine learning

An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images

Facial Landmark-Based Human Emotion Recognition Technique for Oriented Viewpoints in the Presence of Facial Attributes

Enhancing Intrusion Detection Systems with Reinforcement Learning: A Comprehensive Survey of RL-based Approaches and Techniques

Machine Learning for Unmanned Aerial Vehicles Navigation: An Overview

Hybrid Deep Learning Model for Paediatric Cardiac Anomaly Detection and Classification

A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations

Application of Deep Learning for Code Smell Detection: Challenges and Opportunities

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