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Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods

Expert systems with applications, 2024-05, Vol.241, p.122742, Article 122742

2024

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A Fuzzy Graph Convolutional Network Model for Sentence-Level Sentiment Analysis

IEEE transactions on fuzzy systems, 2024-05, Vol.32 (5), p.2953-2965

2024

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IEEE_Xplore

Real-Time Change Detection with Convolutional Density Approximation

Vietnam journal of computer science, 2024-04, p.1-36

2024

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Controlled Synthesis of Space–Time Modulated Metamaterial for Enhanced Nonreciprocity by Machine Learning

Advanced intelligent systems, 2024-04, Vol.6 (4), p.n/a

2024

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A heuristic node placement strategy for extending network lifetime and ensuring target coverage in mobile wireless sensor networks

Evolutionary intelligence, 2024-04

2024

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An efficient pruning method for mining inter-sequence patterns based on pseudo-IDList

Expert systems with applications, 2024-03, Vol.238, p.121738, Article 121738

2024

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Learning evolving relations for multivariate time series forecasting

Applied intelligence (Dordrecht, Netherlands), 2024-03, Vol.54 (5), p.3918-3932

2024

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Event-triggered finite-time dissipative control for fractional-order neural networks with uncertainties

Neural processing letters, 2024-02, Vol.56 (1), p.22, Article 22

2024

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A Study of Vietnamese Sentiment Classification with Ensemble Pre-Trained Language Models

Vietnam journal of computer science, 2024-02, Vol.11 (1), p.137-165

2024

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Sequential reversible jump MCMC for dynamic Bayesian neural networks

Neurocomputing (Amsterdam), 2024-01, Vol.564, p.126960, Article 126960

2024

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Ear-EEG Based-Driver Fatigue Detection System Augmented by Computer Vision

Intelligent Human Computer Interaction, p.99-105

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Cluster-Based Video Summarization with Temporal Context Awareness

Image and Video Technology, 2024, Vol.14403, p.15-28

2024

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Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam

Applied soft computing, 2024-01, Vol.150, p.111031, Article 111031

2024

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Online SARIMA applied for short-term electricity load forecasting

Applied intelligence (Dordrecht, Netherlands), 2024, Vol.54 (1), p.1003-1019

2024

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New Results on Robust Finite-Time Extended Dissipativity for Uncertain Fractional-Order Neural Networks

Neural processing letters, 2023-12, Vol.55 (7), p.9635-9650

2023

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NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro

Neurocomputing (Amsterdam), 2023-12, Vol.560, p.126838, Article 126838

2023

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Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition

Expert systems with applications, 2023-11, Vol.230, p.120608, Article 120608

2023

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Improving human–object interaction with auxiliary semantic information and enhanced instance representation

Pattern recognition letters, 2023-11, Vol.175, p.38-43

2023

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Grasp Configuration Synthesis from 3D Point Clouds with Attention Mechanism

Journal of intelligent & robotic systems, 2023-11, Vol.109 (3), p.71, Article 71

2023

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Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models

ACM transactions on autonomous and adaptive systems, 2023-10, Vol.18 (4), p.1-22, Article 15

2023

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Applying deep learning to wireless sensor networks for monitoring students’ emotion in high schools

Journal of intelligent & fuzzy systems, 2023-10, Vol.45 (4), p.6735-6749

2023

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Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters

Evolutionary intelligence, 2023-10, Vol.16 (5), p.1729-1746

2023

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Neuro-evolutionary for time series forecasting and its application in hourly energy consumption prediction

Neural computing & applications, 2023-10, Vol.35 (29), p.21697-21707

2023

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An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems

IEEE transactions on cybernetics, 2023-09, Vol.53 (9), p.6027-6040

2023

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IEEE_Xplore

Mining inter-sequence patterns with Itemset constraints

Applied intelligence (Dordrecht, Netherlands), 2023-09, Vol.53 (17), p.19827-19842

2023

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Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods

A Fuzzy Graph Convolutional Network Model for Sentence-Level Sentiment Analysis

Real-Time Change Detection with Convolutional Density Approximation

Controlled Synthesis of Space–Time Modulated Metamaterial for Enhanced Nonreciprocity by Machine Learning

A heuristic node placement strategy for extending network lifetime and ensuring target coverage in mobile wireless sensor networks

An efficient pruning method for mining inter-sequence patterns based on pseudo-IDList

Learning evolving relations for multivariate time series forecasting

Event-triggered finite-time dissipative control for fractional-order neural networks with uncertainties

A Study of Vietnamese Sentiment Classification with Ensemble Pre-Trained Language Models

Sequential reversible jump MCMC for dynamic Bayesian neural networks

Ear-EEG Based-Driver Fatigue Detection System Augmented by Computer Vision

Cluster-Based Video Summarization with Temporal Context Awareness

Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam

Online SARIMA applied for short-term electricity load forecasting

New Results on Robust Finite-Time Extended Dissipativity for Uncertain Fractional-Order Neural Networks

NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro

Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition

Improving human–object interaction with auxiliary semantic information and enhanced instance representation

Grasp Configuration Synthesis from 3D Point Clouds with Attention Mechanism

Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models

Applying deep learning to wireless sensor networks for monitoring students’ emotion in high schools

Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters

Neuro-evolutionary for time series forecasting and its application in hourly energy consumption prediction

An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems

Mining inter-sequence patterns with Itemset constraints

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