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TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning

Neural processing letters, 2024-08, Vol.56 (3), p.167

2024

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Kidney Tumor Classification on CT Images Using Self-Supervised Learning

Computers in biology and medicine, 2024-06, Vol.176, p.108554-108554, Article 108554

2024

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Online continual streaming learning for embedded space applications

Journal of real-time image processing, 2024-05, Vol.21 (3), p.68

2024

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AI-based disease category prediction model using symptoms from low-resource Ethiopian language: Afaan Oromo text

Scientific reports, 2024-05, Vol.14 (1), p.11233-11233

2024

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BC-QNet: A quantum-infused ELM model for breast cancer diagnosis

Computers in biology and medicine, 2024-06, Vol.175, p.108483-108483, Article 108483

2024

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A Critical Analysis of Deep Semi-Supervised Learning Approaches for Enhanced Medical Image Classification

Information (Basel), 2024-05, Vol.15 (5), p.246

2024

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Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart Education

Information (Basel), 2024-05, Vol.15 (5), p.277

2024

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Artificial intelligence in paleontology

Earth-science reviews, 2024-05, Vol.252, Article 104765

2024

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CerviLearnNet: Advancing cervical cancer diagnosis with reinforcement learning-enhanced convolutional networks

Heliyon, 2024-05, Vol.10 (9), p.e29913-e29913, Article e29913

2024

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Precise detection of awareness in disorders of consciousness using deep learning framework

NeuroImage (Orlando, Fla.), 2024-04, Vol.290, p.120580-120580, Article 120580

2024

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A Novel Classification Method: Neighborhood-Based Positive Unlabeled Learning Using Decision Tree (NPULUD)

Entropy (Basel, Switzerland), 2024-05, Vol.26 (5), p.403

2024

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A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems

Scientific reports, 2024-05, Vol.14 (1), p.10280-10280

2024

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A novel breast cancer image classification model based on multiscale texture feature analysis and dynamic learning

Scientific reports, 2024-03, Vol.14 (1), p.7216-7216

2024

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Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting

Algorithms, 2024-03, Vol.17 (3), p.106

2024

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Migraine headache (MH) classification using machine learning methods with data augmentation

Scientific reports, 2024-03, Vol.14 (1), p.5180-5180

2024

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A computationally efficient speech emotion recognition system employing machine learning classifiers and ensemble learning

International journal of speech technology, 2024, Vol.27 (1), p.239-254

2024

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A New Machine-Learning-Driven Grade-Point Average Prediction Approach for College Students Incorporating Psychological Evaluations in the Post-COVID-19 Era

Electronics (Basel), 2024-05, Vol.13 (10), p.1928

2024

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Multi-level relation learning for cross-domain few-shot hyperspectral image classification

Applied intelligence (Dordrecht, Netherlands), 2024-03, Vol.54 (5), p.4392-4410

2024

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A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification

Applied intelligence (Dordrecht, Netherlands), 2024-02, Vol.54 (4), p.3448-3463

2024

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Enhanced Modulation Recognition Through Deep Transfer Learning in Hybrid Graph Convolutional Networks

IEEE access, 2024, Vol.12, p.54536-54549

2024

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Quantum Vision Transformers for Quark–Gluon Classification

Axioms, 2024-05, Vol.13 (5), p.323

2024

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Deep learning and machine learning approaches to classify stomach distant metastatic tumors using DNA methylation profiles

Computers in biology and medicine, 2024-06, Vol.175, p.108496-108496, Article 108496

2024

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Hybrid Blended Deep Learning Approach for Milk Quality Analysis

IEEE transactions on emerging topics in computational intelligence, 2024, Vol.8 (3), p.2253-2268

2024

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Detection of Inter-Turn Short Circuits in Induction Motors Using the Current Space Vector and Machine Learning Classifiers

Energies (Basel), 2024-05, Vol.17 (10), p.2241

2024

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A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes

Computers in biology and medicine, 2024-05, Vol.173, p.108306-108306, Article 108306

2024

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TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning

Kidney Tumor Classification on CT Images Using Self-Supervised Learning

Online continual streaming learning for embedded space applications

AI-based disease category prediction model using symptoms from low-resource Ethiopian language: Afaan Oromo text

BC-QNet: A quantum-infused ELM model for breast cancer diagnosis

A Critical Analysis of Deep Semi-Supervised Learning Approaches for Enhanced Medical Image Classification

Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart Education

Artificial intelligence in paleontology

CerviLearnNet: Advancing cervical cancer diagnosis with reinforcement learning-enhanced convolutional networks

Precise detection of awareness in disorders of consciousness using deep learning framework

A Novel Classification Method: Neighborhood-Based Positive Unlabeled Learning Using Decision Tree (NPULUD)

A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems

A novel breast cancer image classification model based on multiscale texture feature analysis and dynamic learning

Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting

Migraine headache (MH) classification using machine learning methods with data augmentation

A computationally efficient speech emotion recognition system employing machine learning classifiers and ensemble learning

A New Machine-Learning-Driven Grade-Point Average Prediction Approach for College Students Incorporating Psychological Evaluations in the Post-COVID-19 Era

Multi-level relation learning for cross-domain few-shot hyperspectral image classification

A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification

Enhanced Modulation Recognition Through Deep Transfer Learning in Hybrid Graph Convolutional Networks

Quantum Vision Transformers for Quark–Gluon Classification

Deep learning and machine learning approaches to classify stomach distant metastatic tumors using DNA methylation profiles

Hybrid Blended Deep Learning Approach for Milk Quality Analysis

Detection of Inter-Turn Short Circuits in Induction Motors Using the Current Space Vector and Machine Learning Classifiers

A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes

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