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A Comprehensive Survey on Graph Neural Networks [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2019
Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding.
Zonghan Wu +5 more
semanticscholar +1 more source

A Comprehensive Survey on Transfer Learning [PDF]

Proceedings of the IEEE, 2019
Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different but related source domains.
Fuzhen Zhuang +7 more
semanticscholar +1 more source

Diffusion Models in Vision: A Survey [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Denoising diffusion models represent a recent emerging topic in computer vision, demonstrating remarkable results in the area of generative modeling. A diffusion model is a deep generative model that is based on two stages, a forward diffusion stage and ...
Florinel-Alin Croitoru +3 more
semanticscholar +1 more source

Gaia Data Release 2. Summary of the contents and survey properties [PDF]

, 2018
We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability, for sources brighter than magnitude 21.
A. Brown +452 more
semanticscholar +1 more source

A survey on Image Data Augmentation for Deep Learning

Journal of Big Data, 2019
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a function with very
Connor Shorten, T. Khoshgoftaar
semanticscholar +1 more source

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

IEEE Access, 2018
At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the shift towards a more algorithmic society.
Amina Adadi, M. Berrada
semanticscholar +1 more source

Attention mechanisms in computer vision: A survey [PDF]

Computational Visual Media, 2021
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system.
Meng-Hao Guo +9 more
semanticscholar +1 more source

Survey incentives, survey effort, and survey costs [PDF]

Finance and Economics Discussion Series, 2014
This paper uses the 2007 and 2010 waves of the Survey of Consumer Finances (SCF) to investigate how monetary incentives affect the time and effort that interviewers expend during the survey field period, and how these incentives affect effort expended by the survey respondent.
openaire +1 more source

Discrimination of topsoil environments in a karst landscape: an outcome of a geochemical mapping campaign

Geochemical Transactions, 2020
The study presented in this work emerged as a result of a multiyear regional geochemical survey based on low-density topsoil sampling and the ensuing geochemical atlas of Croatia.
Ozren Hasan +6 more
doaj +1 more source

Data Report: Molecular and Isotopic Compositions of the Extracted Gas from China’s First Offshore Natural Gas Hydrate Production Test in South China Sea

Energies, 2018
Three hundred gas samples recovered from SHSC-4 during China’s first gas hydrate production test in the South China Sea were examined for gas component and isotopic composition. According to the gas chromatography analysis, all the gas samples from
Jianliang Ye +10 more
doaj +1 more source

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