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Learning with known operators reduces maximum error bounds

Nature machine intelligence, 2019-08, Vol.1 (8), p.373-380

2019

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“Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging

International journal for computer assisted radiology and surgery, 2021-06, Vol.16 (6), p.967-978

2021

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Novel utilization exploration for the dephosphorization waste of Ca–modified biochar: enhanced removal of heavy metal ions from water

Biochar (Online), 2024-09, Vol.6 (1), p.1-16, Article 77

2024

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Machine learning-driven prediction of phosphorus removal performance of metal-modified biochar and optimization of preparation processes considering water quality management objectives

Bioresource technology, 2024-07, Vol.403, p.130861-130861, Article 130861

2024

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Enhancing phosphate removal performance in water using La–Ca/Fe–LDH: La loading alleviates ineffective stacking of laminates and increases the number of active adsorption sites

Journal of cleaner production, 2023-02, Vol.388, p.135857, Article 135857

2023

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Green synthesis of CaxLa1-xMnO3 with modulation of mesoporous and vacancies for efficient low concentration phosphate adsorption

Journal of environmental management, 2024-02, Vol.351, p.119837-119837, Article 119837

2024

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Time Series Analysis in American Stock Market Recovering in Post COVID-19 Pandemic Period

Account and Financial Management Journal, 2023-02, Vol.8 (2)

2023

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B-site metal modulation of phosphate adsorption properties and mechanism of LaBO3 (B = Fe, Al and Mn) perovskites

Environmental science and pollution research international, 2023-05, Vol.30 (25), p.66638-66650

2023

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One-pot high-speed shear preparation of modified straw: An efficient, convenient, nontoxic, and green method with high adsorption capacity for nitrate removal from aqueous solution

Journal of environmental chemical engineering, 2023-12, Vol.11 (6), p.111459, Article 111459

2023

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Green synthesis of Ca x La 1-x MnO 3 with modulation of mesoporous and vacancies for efficient low concentration phosphate adsorption

Journal of environmental management, 2024-02, Vol.351, p.119837

2024

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A Divide-and-Conquer Approach Towards Understanding Deep Networks

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019, Vol.11764, p.183-191

2019

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Protection of Chinese traditional knowledge in the backdrop of the Na-goya Protocol: A case study on acid tea of the De'ang Minority

Sheng wu duo yang xing, 2018-06, Vol.26 (6), p.645-650

2018

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Learning with Known Operators reduces Maximum Training Error Bounds

Nature machine intelligence, 2019-08, Vol.1 (8), p.373-380

2019

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Bacterial resistance surveillance in China: a report from Mohnarin 2004–2005

European journal of clinical microbiology & infectious diseases, 2008-08, Vol.27 (8), p.697-708

2008

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Direct self-assembly of CTAB-capped Au nanotriangles

Nano research, 2016-11, Vol.9 (11), p.3247-3256

2016

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Towards Mouse Bone X-ray Microscopy Scan Simulation

Bildverarbeitung Für Die Medizin 2021, 2021, p.128-133

2021

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Novel Evaluation Metrics for Vascular Structure Segmentation

Bildverarbeitung für die Medizin 2021, 2021, p.80-85

2021

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Frangi-Net

Bildverarbeitung Für Die Medizin 2018, 2018, p.341-346

2018

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Form Follows Function Smart Network Design Enables Zero-shot Network Reuse

Bildverarbeitung Für Die Medizin 2022, 2022, p.121-126

2022

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Degenerating U-Net on Retinal Vessel Segmentation: What Do We Really Need?

Bildverarbeitung für die Medizin 2020, 2020, p.33-38

2020

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Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks

Bildverarbeitung für die Medizin 2020, 2020, p.313-313

2020

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Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach

Bildverarbeitung für die Medizin 2020, 2020, p.301-306

2020

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Modularization of Deep Networks Allows Cross-Modality Reuse: Lesson Learnt

Bildverarbeitung für die Medizin 2020, 2020, p.274-279

2020

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The formation and evolution of the East China Sea Shelf Basin: A new view

Earth-science reviews, 2019-03, Vol.190, p.89-111

2019

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High-resolution LA-ICP-MS mapping of deep-sea polymetallic micronodules and its implications on element mobility

Gondwana research, 2020-05, Vol.81, p.461-474

2020

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Learning with known operators reduces maximum error bounds

“Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging

Novel utilization exploration for the dephosphorization waste of Ca–modified biochar: enhanced removal of heavy metal ions from water

Machine learning-driven prediction of phosphorus removal performance of metal-modified biochar and optimization of preparation processes considering water quality management objectives

Enhancing phosphate removal performance in water using La–Ca/Fe–LDH: La loading alleviates ineffective stacking of laminates and increases the number of active adsorption sites

Green synthesis of CaxLa1-xMnO3 with modulation of mesoporous and vacancies for efficient low concentration phosphate adsorption

Time Series Analysis in American Stock Market Recovering in Post COVID-19 Pandemic Period

B-site metal modulation of phosphate adsorption properties and mechanism of LaBO3 (B = Fe, Al and Mn) perovskites

One-pot high-speed shear preparation of modified straw: An efficient, convenient, nontoxic, and green method with high adsorption capacity for nitrate removal from aqueous solution

Green synthesis of Ca x La 1-x MnO 3 with modulation of mesoporous and vacancies for efficient low concentration phosphate adsorption

A Divide-and-Conquer Approach Towards Understanding Deep Networks

Protection of Chinese traditional knowledge in the backdrop of the Na-goya Protocol: A case study on acid tea of the De'ang Minority

Learning with Known Operators reduces Maximum Training Error Bounds

Bacterial resistance surveillance in China: a report from Mohnarin 2004–2005

Direct self-assembly of CTAB-capped Au nanotriangles

Towards Mouse Bone X-ray Microscopy Scan Simulation

Novel Evaluation Metrics for Vascular Structure Segmentation

Frangi-Net

Form Follows Function Smart Network Design Enables Zero-shot Network Reuse

Degenerating U-Net on Retinal Vessel Segmentation: What Do We Really Need?

Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks

Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach

Modularization of Deep Networks Allows Cross-Modality Reuse: Lesson Learnt

The formation and evolution of the East China Sea Shelf Basin: A new view

High-resolution LA-ICP-MS mapping of deep-sea polymetallic micronodules and its implications on element mobility

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