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To Combat Multiclass Imbalanced Problems by Aggregating Evolutionary Hierarchical Classifiers

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP

2024

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ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein–DNA Interaction Hotspots

Journal of chemical information and modeling, 2024-04, Vol.64 (8), p.3548-3557

2024

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Ijuice: integer JUstIfied counterfactual explanations

Machine learning, 2024

2024

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Predicting Elimination of Small-Molecule Drug Half-Life in Pharmacokinetics Using Ensemble and Consensus Machine Learning Methods

Journal of chemical information and modeling, 2024-04, Vol.64 (8), p.3080-3092

2024

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Design and analysis of quantum machine learning: a survey

Connection science, 2024-12, Vol.36 (1)

2024

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The improvement of ground truth annotation in public datasets for human detection

Machine vision and applications, 2024-05, Vol.35 (3), p.49

2024

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A machine learning based framework for IoT devices identification using web traffic

PeerJ. Computer science, 2024-03, Vol.10, p.e1834

2024

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Joint contrastive learning and belief rule base for named entity recognition in cybersecurity

Cybersecurity (Singapore), 2024-12, Vol.7 (1), p.19-14

2024

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Iterative and mixed-spaces image gradient inversion attack in federated learning

Cybersecurity (Singapore), 2024-12, Vol.7 (1), p.35-14

2024

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A review of deep learning algorithms for modeling drug interactions

Multimedia systems, 2024-06, Vol.30 (3)

2024

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An intelligent diabetes classification and perception framework based on ensemble and deep learning method

PeerJ. Computer science, 2024-03, Vol.10, p.e1914

2024

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Severity of lung infection identification and classification using optimization-enabled deep learning with IoT

Multimedia systems, 2024-04, Vol.30 (2)

2024

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Structural health monitoring of aircraft through prediction of delamination using machine learning

PeerJ. Computer science, 2024-03, Vol.10, p.e1955

2024

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DTA: distribution transform-based attack for query-limited scenario

Cybersecurity (Singapore), 2024-12, Vol.7 (1), p.8-18

2024

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Multi-person 3D pose estimation from unlabelled data

Machine vision and applications, 2024-05, Vol.35 (3), p.46

2024

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Tensor-guided learning for image denoising using anisotropic PDEs

Machine vision and applications, 2024-05, Vol.35 (3), p.48

2024

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Ensemble classifiers fed by functional connectivity during cognitive processing differentiate Parkinson’s disease even being under medication

Machine learning: science and technology, 2024-06, Vol.5 (2), p.025001

Emine Elif Tülay

2024

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Using test-time augmentation to investigate explainable AI: inconsistencies between method, model and human intuition

Journal of cheminformatics, 2024-04, Vol.16 (1), p.39-39

2024

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Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume

International journal of computational intelligence systems, 2024-04, Vol.17 (1), p.1-22

2024

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Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages

PeerJ. Computer science, 2024-03, Vol.10, p.e1974

2024

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Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique

PeerJ. Computer science, 2024-03, Vol.10, p.e1961

2024

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An efficient heuristic-aided adaptive autoencoder-based dilated DNN with attention mechanism for enhancing the performance of the MIMO system in 5G communication

Multimedia systems, 2024-06, Vol.30 (3)

2024

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Optimized models and deep learning methods for drug response prediction in cancer treatments: a review

PeerJ. Computer science, 2024-03, Vol.10, p.e1903

2024

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A novel reinforcement learning framework for disassembly sequence planning using Q-learning technique optimized using an enhanced simulated annealing algorithm

Artificial intelligence for engineering design, analysis and manufacturing, 2024-04, Vol.38

2024

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Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems

The Artificial intelligence review, 2024-04, Vol.57 (5), p.110

2024

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To Combat Multiclass Imbalanced Problems by Aggregating Evolutionary Hierarchical Classifiers

ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein–DNA Interaction Hotspots

Ijuice: integer JUstIfied counterfactual explanations

Predicting Elimination of Small-Molecule Drug Half-Life in Pharmacokinetics Using Ensemble and Consensus Machine Learning Methods

Design and analysis of quantum machine learning: a survey

The improvement of ground truth annotation in public datasets for human detection

A machine learning based framework for IoT devices identification using web traffic

Joint contrastive learning and belief rule base for named entity recognition in cybersecurity

Iterative and mixed-spaces image gradient inversion attack in federated learning

A review of deep learning algorithms for modeling drug interactions

An intelligent diabetes classification and perception framework based on ensemble and deep learning method

Severity of lung infection identification and classification using optimization-enabled deep learning with IoT

Structural health monitoring of aircraft through prediction of delamination using machine learning

DTA: distribution transform-based attack for query-limited scenario

Multi-person 3D pose estimation from unlabelled data

Tensor-guided learning for image denoising using anisotropic PDEs

Ensemble classifiers fed by functional connectivity during cognitive processing differentiate Parkinson’s disease even being under medication

Using test-time augmentation to investigate explainable AI: inconsistencies between method, model and human intuition

Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume

Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages

Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique

An efficient heuristic-aided adaptive autoencoder-based dilated DNN with attention mechanism for enhancing the performance of the MIMO system in 5G communication

Optimized models and deep learning methods for drug response prediction in cancer treatments: a review

A novel reinforcement learning framework for disassembly sequence planning using Q-learning technique optimized using an enhanced simulated annealing algorithm

Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems

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