Few-shot learning (FSL) presents immense potential in enhancing model generalization and practicality for medical image classification with limited training data;however, it still faces the challenge of severe overfit...
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Traditional text representation techniques will produce high-dimensional and sparse vectors for short texts since they have fewer words, which increases the likelihood of noise interference and lowers the accuracy of ...
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Aiming at the problem of insufficient accuracy of existing models in the process of air quality index prediction, an air quality index (AQI) prediction model (CALSTM) incorporating a multi-head self-attention mechanis...
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Exploration and mapping unknown environments have placed elevated demands on the spatial intelligence perception capabilities of unmanned systems. Traditional single unmanned systems suffer from issues such as low exp...
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Our team developed EchoVest, an assistive device that addresses the needs of over 1.5 billion people worldwide with hearing impairments. EchoVest increases environmental awareness using transcutaneous electric nerve s...
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作者:
Su, LishaYan, RongCollege of Computer Science
Inner Mongolia University Inner Mongolia Key Laboratory of Multilingual Artificial Intelligence Technology National & Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian Hohhot010021 China
Joint extraction of entities and relations is an essential task in information extraction. Recently, tagging-based models have gained attention but with poor performance on overlapping triplets, which confronted the i...
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This paper introduces an innovative approach to classification called Credal Deep Ensembles (CreDEs), namely, ensembles of novel Credal-Set Neural Networks (CreNets). CreNets are trained to predict a lower and an uppe...
The extensive application of smart contract technology in the blockchain domain has positioned it as a key component of the digital economy. However, as the application scope of smart contracts expands, security issue...
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Multiple Sclerosis (MS), an autoimmune disorder impacting the central nervous system, is increasingly prevalent. In this context, automated tools for MS lesions segmentation could aid healthcare professionals accelera...
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In recent years, the extensive utilization of electronic medical records has led to the preservation of a large amount of historical patient information, culminating in the formation of Electronic Health Record (EHR) ...
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