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Human and Machines: Philosophical Thinking of Artificial Intelligence

1, 2022

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Wiki-Health: From Quantified Self to Self-Understanding

Future generation computer systems, 2016-03, Vol.56, p.333-359

2016

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Multiple Detection Model Fusion Framework for Printed Circuit Board Defect Detection

Shanghai jiao tong da xue xue bao, 2023-12, Vol.28 (6), p.717-727

2023

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Mathematical Research for Blockchain Economy: 3rd International Conference MARBLE 2022, Vilamoura, Portugal

1st ed. 2023., 2023

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Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part I

1, 2022

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Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II

1, 2022

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Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, 2022, Proceedings, Part IV

1, 2022

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Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part III

1, 2022

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Collaborative Defense with Multiple USVs and UAVs Based on Swarm Intelligence

Shanghai jiao tong da xue xue bao, 2020-02, Vol.25 (1), p.51-56

2020

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Mathematical Research for Blockchain Economy: 2nd International Conference MARBLE 2020, Vilamoura, Portugal

1st Edition 2020, 2020

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Correction to: Sputum ACE2, TMPRSS2 and FURIN gene expression in severe neutrophilic asthma

Respiratory research, 2021-02, Vol.22 (1), p.47-47, Article 47

2021

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The fair value of a token: How do markets price cryptocurrencies?

Research in international business and finance, 2020-04, Vol.52, p.101108, Article 101108

2020

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Mathematical Research for Blockchain Economy: 1st International Conference MARBLE 2019, Santorini, Greece

1st ed. 2020., 2020

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Efficient deep data assimilation with sparse observations and time-varying sensors

Journal of computational physics, 2024-01, Vol.496, p.112581, Article 112581

2024

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Efficient deep data assimilation with sparse observations and time-varying sensors

Journal of computational physics, 2023-10

2023

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Obesity-Associated Severe Asthma Represents a Distinct Clinical Phenotype

Chest, , Vol.143 (2), p.406-414

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Building a cloud-based platform for personal health sensor data management

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2014, p.223-226

2014

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Conflict-aware multilingual knowledge graph completion

Knowledge-based systems, 2023-12, Vol.281, p.111070, Article 111070

2023

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Correction to "Eight times acceleration of geospatial data archiving and distribution on the grids"

IEEE transactions on geoscience and remote sensing, 2009-08, Vol.47 (8), p.2988-2988

2009

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IEEE_Xplore

Brain Informatics and Health: 8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings

1, 2015

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An Ensemble Clusterer of Multiple Fuzzy [Formula Omitted]-Means Clusterings to Recognize Arbitrarily Shaped Clusters

IEEE transactions on fuzzy systems, 2018-12, Vol.26 (6), p.3524

2018

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Cloud-VAE: Variational autoencoder with concepts embedded

Pattern recognition, 2023-08, Vol.140, p.109530, Article 109530

2023

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AI to characterize patients with lung or ovarian cancer and those with cachexia for discovery of undiagnosed, misdiagnosed, and miscoded patients at scale in a privacy-preserving manner

Journal of clinical oncology, 2023-06, Vol.41 (16_suppl), p.10627-10627

2023

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Automatic identification of oncology patients with unsupervised phenotyping and AutoML

Journal of clinical oncology, 2022-06, Vol.40 (16_suppl), p.e13547-e13547

2022

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Improving Disentanglement in Variational Auto-Encoders via Feature Imbalance-Informed Dimension Weighting

Knowledge-based systems, Article 111818

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Human and Machines: Philosophical Thinking of Artificial Intelligence

Wiki-Health: From Quantified Self to Self-Understanding

Multiple Detection Model Fusion Framework for Printed Circuit Board Defect Detection

Mathematical Research for Blockchain Economy: 3rd International Conference MARBLE 2022, Vilamoura, Portugal

Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part I

Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II

Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, 2022, Proceedings, Part IV

Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part III

Collaborative Defense with Multiple USVs and UAVs Based on Swarm Intelligence

Mathematical Research for Blockchain Economy: 2nd International Conference MARBLE 2020, Vilamoura, Portugal

Correction to: Sputum ACE2, TMPRSS2 and FURIN gene expression in severe neutrophilic asthma

The fair value of a token: How do markets price cryptocurrencies?

Mathematical Research for Blockchain Economy: 1st International Conference MARBLE 2019, Santorini, Greece

Efficient deep data assimilation with sparse observations and time-varying sensors

Efficient deep data assimilation with sparse observations and time-varying sensors

Obesity-Associated Severe Asthma Represents a Distinct Clinical Phenotype

Building a cloud-based platform for personal health sensor data management

Conflict-aware multilingual knowledge graph completion

Correction to "Eight times acceleration of geospatial data archiving and distribution on the grids"

Brain Informatics and Health: 8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings

An Ensemble Clusterer of Multiple Fuzzy [Formula Omitted]-Means Clusterings to Recognize Arbitrarily Shaped Clusters

Cloud-VAE: Variational autoencoder with concepts embedded

AI to characterize patients with lung or ovarian cancer and those with cachexia for discovery of undiagnosed, misdiagnosed, and miscoded patients at scale in a privacy-preserving manner

Automatic identification of oncology patients with unsupervised phenotyping and AutoML

Improving Disentanglement in Variational Auto-Encoders via Feature Imbalance-Informed Dimension Weighting

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