Anh Nguyen
University of Queensland
Deep learningMachine learningInternal medicineArtificial intelligenceAntibodyCardiologyCode (cryptography)HemodynamicsPattern recognitionChemistryMaterials scienceProgramming languageNatural language processingHeart failureVentricular assist deviceHeart transplantationComputer scienceSource codeArtificial neural networkMedicineBiologyZoology
480Publications
60H-index
11.8kCitations
Publications 241
Newest
#1Hoang V. Le (University of the Sciences)H-Index: 3
#2Phuong T. Pham (University of Science and Technology of Hanoi)
Last. Phong D. Tran (University of Science and Technology of Hanoi)H-Index: 29
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Abstract WO3 is a potential material candidate for construction of photoanode for solar driven water splitting. In this work, μm-thick porous WO3 photoanode is prepared by depositing a stable ink made of WO3 nanoparticles and Aristoflex velvet polymer in water using the doctor blade technique, followed by a sintering in air. The nature of WO3 nanoparticles, its loading mass on F-doped tin oxide electrode as well as sintering temperature are examined in order to optimize the photocatalytic activi...
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#1Phi Hung Dao (VAST: Vietnam Academy of Science and Technology)H-Index: 5
#2Thuy Chinh Nguyen (VAST: Vietnam Academy of Science and Technology)H-Index: 3
Last. Hoang Thai (VAST: Vietnam Academy of Science and Technology)H-Index: 10
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This study presents the results of surface modification of zirconium dioxide (ZrO2) nanoparticles by 3-(trimethoxysilyl) propyl methacrylate silane coupling agent by assessing some characteristics and properties of modified ZrO2 nanoparticles by infrared spectroscopy, thermogravimetric analysis, size distribution, zeta potential, and field emission scanning electron microscopy methods. The modified and unmodified ZrO2 nanoparticles have been used as nanoadditives for organic coatings based on ac...
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#1Michael A. Alcorn (AU: Auburn University)H-Index: 4
#2Anh NguyenH-Index: 60
Order-agnostic autoregressive distribution estimation (OADE), i.e., autoregressive distribution estimation where the features can occur in an arbitrary order, is a challenging problem in generative machine learning. Prior work on OADE has encoded feature identity (e.g., pixel location) by assigning each feature to a distinct fixed position in an input vector. As a result, architectures built for these inputs must strategically mask either the input or model weights to learn the various condition...
#1Renán Rojas-Gómez (UIUC: University of Illinois at Urbana–Champaign)H-Index: 1
#2Raymond A. Yeh (UIUC: University of Illinois at Urbana–Champaign)H-Index: 13
Last. Anh NguyenH-Index: 60
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Recent research in adversarially robust classifiers suggests their representations tend to be aligned with human perception, which makes them attractive for image synthesis and restoration applications. Despite favorable empirical results on a few downstream tasks, their advantages are limited to slow and sensitive optimization-based techniques. Moreover, their use on generative models remains unexplored. This work proposes the use of robust representations as a perceptual primitive for feature ...
#5Anh NguyenH-Index: 60
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#1Rachel WoodH-Index: 28
Last. Anh NguyenH-Index: 60
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#1Cathy Liu (Royal Brisbane and Women's Hospital)H-Index: 3
#2Nicole Ho (Royal Brisbane and Women's Hospital)H-Index: 2
Last. Akwasi A. Amoako (Royal Brisbane and Women's Hospital)H-Index: 9
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AbstractObjective: Routine cervical length measurement in asymptomatic pregnant women to prevent preterm birth has not been universally adopted due to poor predictive accuracy. The purpose of our s...
2 CitationsSource
#1Giang T. NguyenH-Index: 23
#2Daeyoung Kim (KAIST)H-Index: 31
Last. Anh NguyenH-Index: 60
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Explaining the decisions of an Artificial Intelligence (AI) model is increasingly critical in many real-world, high-stake applications. Hundreds of papers have either proposed new feature attribution methods, discussed or harnessed these tools in their work. However, despite humans being the target end-users, most attribution methods were only evaluated on proxy automatic-evaluation metrics. In this paper, we conduct the first, large-scale user study on 320 lay and 11 expert users to shed light ...
#1Sho TsukamotoH-Index: 2
#2Anh NguyenH-Index: 60
Last. Katsuyuki EguchiH-Index: 8
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