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Self-supervised learning has emerged as a powerful paradigm for training deep neural networks, particularly in medical imaging where labeled data is scarce. While current approaches typically rely on synthetic augmentations of single images, we propo...
Supervised learning is limited both by the quantity and quality of the labeled data. In the field of medical record tagging, writing styles between hospitals vary drastically. The knowledge learned from one hospital might not transfer well to another...
Web tool to publish thesaurus and controlled vocabularies in the web. PortalThes use TemaTres web services to expose data and services based on vocabularies (⭐ 9)
Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting, TITS 2019 (⭐ 9)
Image-based visual-language (I-VL) pre-training has shown great success for learning joint visual-textual representations from large-scale web data, revealing remarkable ability for zero-shot generalisation. This paper presents a simple but strong ba...
724+111 −156 ly. In 2020, new observational data from the space-based Solar Mass Ejection Imager aboard the Coriolis satellite and three different modeling
Nov 12, 2024 · Learn how to update SharePoint list items using Power Automate. Step-by-step guide with examples to modify data automatically and streamline your workflows.
Hyperspectral images are data cubes with two spatial dimensions and a third spectral dimension, providing a spectrum for each pixel, and thus allow the mapping of extended sources' physical properties. In this article, we present the Semi-blind Unmix...
The GOLF resonant scattering spectrophotometer aboard SoHO has now provided 15 years of continuous high precision Sun-as-a-star radial-velocity measurements. This length of time series provides very high resolution in the frequency domain and is comb...
By adding utm campaign parameters to the destination URLs you use in referral links and ad campaigns, you can view which campaigns refer traffic. When a user clicks a referral link, the …
By adding utm campaign parameters to the destination URLs you use in referral links and ad campaigns, you can view which campaigns refer traffic. When a user clicks a referral link, the URL …
The sensitivity of loss reserving techniques to outliers in the data or deviations from model assumptions is a well known challenge. It has been shown that the popular chain-ladder reserving approach is at significant risk to such aberrant observatio...
Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED) (⭐ 1124)
In this paper, we study the multi-armed bandit problem in the batched setting where the employed policy must split data into a small number of batches. While the minimax regret for the two-armed stochastic bandits has been completely characterized in...
In molecular biology, a batch effect occurs when non-biological factors in an experiment cause changes in the data produced by the experiment. Such effects
Shortcut learning is a phenomenon where machine learning models prioritize learning simple, potentially misleading cues from data that do not generalize well beyond the training set. While existing research primarily investigates this in the realm of...
This study examines whether income distribution in Thailand has a property of scale invariance or self-similarity across years. By using the data on income shares by quintile and by decile of Thailand from 1988 to 2021, the results from 306-pairwise...
The use of registers has been increasingly popular in the field of population census because of its advantages over the traditional census. While the traditional census requires a large amount of fieldwork and data collection, the registered-based ce...
The problem of the re-entry predictions of GOCE has been deeply investigated in the literature, due to the large amount of data, mainly radar and GPS, available until re-entry. The accurate GPS and attitude measurements are used to compute a precise...