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Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey

Applied sciences, 2019-10, Vol.9 (20), p.4396

2019

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Practice Promotes Learning: Analyzing Students’ Acceptance of a Learning-by-Doing Online Programming Learning Tool

Applied sciences, 2022-12, Vol.12 (24), p.12613

2022

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Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study

Applied sciences, 2021, Vol.11 (9), p.3986

2021

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Brain Tumor Analysis Using Deep Learning and VGG-16 Ensembling Learning Approaches

Applied sciences, 2022-07, Vol.12 (14), p.7282

2022

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Scaling-Up Social Learning in Small Groups with Robot Supported Collaborative Learning (RSCL): Effects of Learners’ Prior Experience in the Case Study of Planning Poker with the Robot NAO

Applied sciences, 2023-03, Vol.13 (7), p.4106

Buchem, Ilona

2023

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Smart Learning

Applied sciences, 2020-10, Vol.10 (19), p.6964

2020

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Deep Residual Learning for Image Recognition: A Survey

Applied sciences, 2022-09, Vol.12 (18), p.8972

2022

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An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges

Applied sciences, 2023-02, Vol.13 (3), p.1956

2023

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Predicting Students Success in Blended Learning—Evaluating Different Interactions Inside Learning Management Systems

Applied sciences, 2019-12, Vol.9 (24), p.5523

2019

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Multi-Agent Reinforcement Learning: A Review of Challenges and Applications

Applied sciences, 2021-06, Vol.11 (11), p.4948

2021

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Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray

Applied sciences, 2020-05, Vol.10 (9), p.3233

2020

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Deep Learning for Intelligent Human–Computer Interaction

Applied sciences, 2022-11, Vol.12 (22), p.11457

2022

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Local Contrast Learning for One-Shot Learning

Applied sciences, 2024-06, Vol.14 (12), p.5217

2024

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Reinforcement Learning and Physics

Applied sciences, 2021-09, Vol.11 (18), p.8589

2021

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Load Forecasting with Machine Learning and Deep Learning Methods

Applied sciences, 2023-07, Vol.13 (13), p.7933

2023

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Crop Prediction Model Using Machine Learning Algorithms

Applied sciences, 2023-08, Vol.13 (16), p.9288

2023

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A Review of Machine Learning and Deep Learning Techniques for Anomaly Detection in IoT Data

Applied sciences, 2021-06, Vol.11 (12), p.5320

2021

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Identifying Engineering Undergraduates’ Learning Style Profiles Using Machine Learning Techniques

Applied sciences, 2021-11, Vol.11 (22), p.10505

2021

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A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

Applied sciences, 2020-01, Vol.10 (2), p.559

2020

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A Review of Deep Learning Based Speech Synthesis

Applied sciences, 2019-10, Vol.9 (19), p.4050

2019

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Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review

Applied sciences, 2020-02, Vol.10 (3), p.1042

2020

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Mobile Learning Technologies for Education: Benefits and Pending Issues

Applied sciences, 2021-05, Vol.11 (9), p.4111

2021

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Deep Learning Application to Ensemble Learning—The Simple, but Effective, Approach to Sentiment Classifying

Applied sciences, 2019-07, Vol.9 (13), p.2760

2019

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Privacy-Preserving Federated Learning Using Homomorphic Encryption

Applied sciences, 2022-01, Vol.12 (2), p.734

2022

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Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers

Applied sciences, 2021-07, Vol.11 (14), p.6622

2021

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Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey

Practice Promotes Learning: Analyzing Students’ Acceptance of a Learning-by-Doing Online Programming Learning Tool

Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study

Brain Tumor Analysis Using Deep Learning and VGG-16 Ensembling Learning Approaches

Scaling-Up Social Learning in Small Groups with Robot Supported Collaborative Learning (RSCL): Effects of Learners’ Prior Experience in the Case Study of Planning Poker with the Robot NAO

Smart Learning

Deep Residual Learning for Image Recognition: A Survey

An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges

Predicting Students Success in Blended Learning—Evaluating Different Interactions Inside Learning Management Systems

Multi-Agent Reinforcement Learning: A Review of Challenges and Applications

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray

Deep Learning for Intelligent Human–Computer Interaction

Local Contrast Learning for One-Shot Learning

Reinforcement Learning and Physics

Load Forecasting with Machine Learning and Deep Learning Methods

Crop Prediction Model Using Machine Learning Algorithms

A Review of Machine Learning and Deep Learning Techniques for Anomaly Detection in IoT Data

Identifying Engineering Undergraduates’ Learning Style Profiles Using Machine Learning Techniques

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

A Review of Deep Learning Based Speech Synthesis

Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review

Mobile Learning Technologies for Education: Benefits and Pending Issues

Deep Learning Application to Ensemble Learning—The Simple, but Effective, Approach to Sentiment Classifying

Privacy-Preserving Federated Learning Using Homomorphic Encryption

Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers

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