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Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction

IEEE access, 2021, Vol.9, p.103737-103757

2021

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Iterative Robust Semi-Supervised Missing Data Imputation

IEEE access, 2020, Vol.8, p.90555-90569

2020

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Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets

IEEE access, 2020, Vol.8, p.2122-2133

2020

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Self-Trained LMT for Semisupervised Learning

Computational Intelligence and Neuroscience, 2016-01, Vol.2016, p.3057481-13

2016

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Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme

Entropy (Basel, Switzerland), 2019-10, Vol.21 (10), p.988

2019

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A Semisupervised Cascade Classification Algorithm

Applied Computational Intelligence and Soft Computing, 2016-01, Vol.2016, p.1-14

2016

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A multi-scheme semi-supervised regression approach

Pattern recognition letters, 2019-07, Vol.125, p.758-765

2019

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Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database

Learning and Intelligent Optimization, 2021, Vol.12931, p.113-120

2021

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An active learning ensemble method for regression tasks

Intelligent data analysis, 2020-01, Vol.24 (3), p.607-623, Article 607

2020

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Self-trained Rotation Forest for semi-supervised learning

Journal of intelligent & fuzzy systems, 2017, Vol.32 (1), p.711-722

2017

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Locally application of naive Bayes for self-training

Evolving systems, 2017-03, Vol.8 (1), p.3-18

2017

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Speech Recognition Combining MFCCs and Image Features

Speech and Computer, p.651-658

Volltextzugriff (PDF)

Speaker Identification Using Semi-supervised Learning

Speech and Computer, p.389-396

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Optimized Active Learning Strategy for Audiovisual Speaker Recognition

Speech and Computer, 2018, Vol.11096, p.281-290

2018

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Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data

2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA), 2021, p.1-4

2021

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Sedentary workers recognition based on machine learning

Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2020, p.1-2

2020

Volltextzugriff (PDF)

Self-trained eXtreme Gradient Boosting Trees

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019, p.1-6

2019

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Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019, p.1-4

2019

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A Semi-supervised regressor based on model trees

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018, p.1-7

2018

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Combining Active Learning with Self-train algorithm for classification of multimodal problems

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019, p.1-8

2019

Volltextzugriff (PDF)

Effectiveness of semi-supervised learning in bankruptcy prediction

2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA), 2016, p.1-6

2016

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An incremental self-trained ensemble algorithm

2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2018, p.1-8

2018

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Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme

Artificial Intelligence Applications and Innovations, p.37-49

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Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification

2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA), 2016, p.1-6

2016

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Semi-supervised forecasting of fraudulent financial statements

Proceedings of the 20th Pan-Hellenic Conference on Informatics, 2016, p.1-6

2016

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Machine Learning Tools for Long-Term Type 2 Diabetes Risk Prediction

Iterative Robust Semi-Supervised Missing Data Imputation

Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets

Self-Trained LMT for Semisupervised Learning

Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme

A Semisupervised Cascade Classification Algorithm

A multi-scheme semi-supervised regression approach

Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database

An active learning ensemble method for regression tasks

Self-trained Rotation Forest for semi-supervised learning

Locally application of naive Bayes for self-training

Speech Recognition Combining MFCCs and Image Features

Speaker Identification Using Semi-supervised Learning

Optimized Active Learning Strategy for Audiovisual Speaker Recognition

Optimal Team Pairing of Elder Office Employees with Machine Learning on Synthetic Data

Sedentary workers recognition based on machine learning

Self-trained eXtreme Gradient Boosting Trees

Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance

A Semi-supervised regressor based on model trees

Combining Active Learning with Self-train algorithm for classification of multimodal problems

Effectiveness of semi-supervised learning in bankruptcy prediction

An incremental self-trained ensemble algorithm

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme

Self-labeled Hidden Naive Bayes algorithm for semi-supervised classification

Semi-supervised forecasting of fraudulent financial statements

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