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Improve the translational distance models for knowledge graph embedding

Journal of intelligent information systems, 2020-12, Vol.55 (3), p.445-467

2020

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Composition-driven symptom phrase recognition for Chinese medical consultation corpora

BMC medical informatics and decision making, 2021-12, Vol.21 (1), p.363-363, Article 363

2021

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Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings

Frontiers in Marine Science, 2024-02, Vol.11

2024

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Spatial-temporal transformer network for multi-year ENSO prediction

Frontiers in Marine Science, 2023-03, Vol.10

2023

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Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks

IEEE journal of biomedical and health informatics, 2020-05, Vol.24 (5), p.1321-1332

2020

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SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities

Neurocomputing (Amsterdam), 2022-06, Vol.491, p.186-196

2022

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Structural feature-based event clustering for short text streams

2016 23rd International Conference on Pattern Recognition (ICPR), 2016, p.3252-3257

2016

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Improving fraud detection via hierarchical attention-based Graph Neural Network

Journal of information security and applications, 2023-02, Vol.72, p.103399, Article 103399

2023

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l0-norm based structural sparse least square regression for feature selection

Pattern recognition, 2015-12, Vol.48 (12), p.3927-3940

2015

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Multi-task Character-Level Attentional Networks for Medical Concept Normalization

Neural processing letters, 2019-06, Vol.49 (3), p.1239-1256

2019

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Enhancing knowledge graph embedding with relational constraints

Neurocomputing (Amsterdam), 2021-03, Vol.429, p.77-88

2021

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Selecting feature subset with sparsity and low redundancy for unsupervised learning

Knowledge-based systems, 2015-09, Vol.86, p.210-223

2015

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Multi-level semantic fusion network for Chinese medical named entity recognition

Journal of biomedical informatics, 2022-09, Vol.133, p.104144-104144, Article 104144

2022

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Leveraging semantic property for temporal knowledge graph completion

Applied intelligence (Dordrecht, Netherlands), 2023-04, Vol.53 (8), p.9247-9260

2023

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Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D Image-Based 3D Shape Retrieval

IEEE transactions on circuits and systems for video technology, 2022-12, Vol.32 (12), p.8809-8821

2022

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Dynamic graphs attention for ocean variable forecasting

Engineering applications of artificial intelligence, 2024-07, Vol.133, Article 108187

2024

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Rare-aware attention network for image–text matching

Information processing & management, 2023-05, Vol.60 (3), p.103280, Article 103280

2023

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Discriminative structure learning of sum–product networks for data stream classification

Neural networks, 2020-03, Vol.123, p.163-175

2020

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Scalable learning and inference in Markov logic networks

International journal of approximate reasoning, 2017-03, Vol.82, p.39-55

2017

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Hierarchical Multilabel Classification with Optimal Path Prediction

Neural processing letters, 2017-02, Vol.45 (1), p.263-277

2017

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Enhancing Knowledge Graph Completion with Positive Unlabeled Learning

2018 24th International Conference on Pattern Recognition (ICPR), 2018, p.296-301

2018

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Generic subset ranking using binary classifiers

Theoretical computer science, 2012-10, Vol.456, p.89-99

2012

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Meta-Path based Nonnegative Matrix Factorization for clustering on multi-type relational data

2015 International Joint Conference on Neural Networks (IJCNN), 2015, p.1-8

2015

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Seamlessly Integrating Effective Links with Attributes for Networked Data Classification

Advances in Knowledge Discovery and Data Mining, p.473-484

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Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems

IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 2012-02, Vol.42 (1), p.140-149

2012

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Improve the translational distance models for knowledge graph embedding

Composition-driven symptom phrase recognition for Chinese medical consultation corpora

Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings

Spatial-temporal transformer network for multi-year ENSO prediction

Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks

SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities

Structural feature-based event clustering for short text streams

Improving fraud detection via hierarchical attention-based Graph Neural Network

l0-norm based structural sparse least square regression for feature selection

Multi-task Character-Level Attentional Networks for Medical Concept Normalization

Enhancing knowledge graph embedding with relational constraints

Selecting feature subset with sparsity and low redundancy for unsupervised learning

Multi-level semantic fusion network for Chinese medical named entity recognition

Leveraging semantic property for temporal knowledge graph completion

Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D Image-Based 3D Shape Retrieval

Dynamic graphs attention for ocean variable forecasting

Rare-aware attention network for image–text matching

Discriminative structure learning of sum–product networks for data stream classification

Scalable learning and inference in Markov logic networks

Hierarchical Multilabel Classification with Optimal Path Prediction

Enhancing Knowledge Graph Completion with Positive Unlabeled Learning

Generic subset ranking using binary classifiers

Meta-Path based Nonnegative Matrix Factorization for clustering on multi-type relational data

Seamlessly Integrating Effective Links with Attributes for Networked Data Classification

Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems

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