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Automated visual inspection in the semiconductor industry: A survey

Computers in industry, 2015-01, Vol.66, p.1-10

2015

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Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI

IEEE transactions on medical imaging, 2009-10, Vol.28 (10), p.1595-1605

2009

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SOChain: A Privacy-Preserving DDoS Data Exchange Service Over SOC Consortium Blockchain

IEEE transactions on engineering management, 2020-11, Vol.67 (4), p.1487-1500

2020

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Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning

Neural computing & applications, 2022-02, Vol.34 (4), p.3097-3115

2022

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Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism

IEEE access, 2021, Vol.9, p.55244-55259

2021

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Interpretable Stock Anomaly Detection Based on Spatio-Temporal Relation Networks With Genetic Algorithm

IEEE access, 2021, Vol.9, p.68302-68319

2021

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Novel Deep Reinforcement Algorithm With Adaptive Sampling Strategy for Continuous Portfolio Optimization

IEEE access, 2021, Vol.9, p.77371-77385

2021

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Improving Generalization in Reinforcement Learning-Based Trading by Using a Generative Adversarial Market Model

IEEE access, 2021, Vol.9, p.50738-50754

2021

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Sentiment-influenced trading system based on multimodal deep reinforcement learning

Applied soft computing, 2021-11, Vol.112, p.107788, Article 107788

2021

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Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering

Expert systems with applications, 2022-04, Vol.192, p.116311, Article 116311

2022

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Adversarial Attacks Against Reinforcement Learning-Based Portfolio Management Strategy

IEEE access, 2021, Vol.9, p.50667-50685

2021

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Explainable mutual fund recommendation system developed based on knowledge graph embeddings

Applied intelligence (Dordrecht, Netherlands), 2022-07, Vol.52 (9), p.10779-10804

2022

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A multi-agent virtual market model for generalization in reinforcement learning based trading strategies

Applied soft computing, 2023-02, Vol.134, p.109985, Article 109985

2023

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Knowledge distillation for portfolio management using multi-agent reinforcement learning

Advanced engineering informatics, 2023-08, Vol.57, p.102096, Article 102096

2023

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Poisoning attacks on face authentication systems by using the generative deformation model

Multimedia tools and applications, 2023-08, Vol.82 (19), p.29457-29476

2023

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Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning

Applied intelligence (Dordrecht, Netherlands), 2022-10, Vol.52 (13), p.15529-15546

2022

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Design customization of respiratory mask based on 3D face anthropometric data

International journal of precision engineering and manufacturing, 2015-03, Vol.16 (3), p.487-494

2015

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Evaluating the effect of interactions between appearance-related product designs and facial characteristics on social affectivity

International journal of industrial ergonomics, 2015-02, Vol.45, p.35-47

2015

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Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs

Applied intelligence (Dordrecht, Netherlands), 2024-03, Vol.54 (5), p.4189-4209

2024

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Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System

ACM transactions on intelligent systems and technology, 2024-03, Vol.15 (2), p.1-26, Article 33

2024

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Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning

ACM transactions on intelligent systems and technology, 2024-03, Vol.15 (2), p.1-29, Article 35

2024

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Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation

ACM transactions on knowledge discovery from data, 2023-12, Vol.18 (3), p.1-34, Article 57

2023

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Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation

ACM transactions on knowledge discovery from data, 2023-02, Vol.17 (1), p.1-28, Article 1

2023

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Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation

ACM transactions on intelligent systems and technology, 2023-05, Vol.14 (3), p.1-25, Article 57

2023

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Hierarchical Reinforcement Learning for Conversational Recommendation With Knowledge Graph Reasoning and Heterogeneous Questions

IEEE transactions on services computing, 2023-09, Vol.16 (5), p.1-14

2023

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Automated visual inspection in the semiconductor industry: A survey

Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI

SOChain: A Privacy-Preserving DDoS Data Exchange Service Over SOC Consortium Blockchain

Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning

Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism

Interpretable Stock Anomaly Detection Based on Spatio-Temporal Relation Networks With Genetic Algorithm

Novel Deep Reinforcement Algorithm With Adaptive Sampling Strategy for Continuous Portfolio Optimization

Improving Generalization in Reinforcement Learning-Based Trading by Using a Generative Adversarial Market Model

Sentiment-influenced trading system based on multimodal deep reinforcement learning

Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering

Adversarial Attacks Against Reinforcement Learning-Based Portfolio Management Strategy

Explainable mutual fund recommendation system developed based on knowledge graph embeddings

A multi-agent virtual market model for generalization in reinforcement learning based trading strategies

Knowledge distillation for portfolio management using multi-agent reinforcement learning

Poisoning attacks on face authentication systems by using the generative deformation model

Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning

Design customization of respiratory mask based on 3D face anthropometric data

Evaluating the effect of interactions between appearance-related product designs and facial characteristics on social affectivity

Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs

Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System

Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning

Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation

Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation

Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation

Hierarchical Reinforcement Learning for Conversational Recommendation With Knowledge Graph Reasoning and Heterogeneous Questions

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