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CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning
Few-shot text classification has extensive application where the sample collection is expensive or complicated. When the penalty for …
Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani عبدالعزيز الهمداني, Fanglan Chen, Bei Xiao, Chang-Tien Lu
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CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning
MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter
Metro systems are vital to our daily lives, but they face safety or reliability challenges, such as criminal activities or …
Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani عبدالعزيز الهمداني, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li
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MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets
Social media platforms have become an easy method of communication for many users. Content posted on social media can influence those …
Lulwah Alkulaib, Abdulaziz Alhamadani عبدالعزيز الهمداني, Shailik Sarkar, Chang-Tien Lu
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HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties
Ever since the COVID-19 outbreak, various works have focused on using multitude of different static and dynamic features to aid the …
Shailik Sarkar, Abdulaziz Alhamadani عبدالعزيز الهمداني, Chang-Tien Lu
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Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties
Predicting Depression and Anxiety on Reddit: A Multi-task Learning Approach
One of the strongest indicators of a mental health crisis is how people interact with each other or express them-selves. Hence, social …
Shailik Sarkar, Abdulaziz Alhamadani عبدالعزيز الهمداني, Lulwah Alkulaib, Chang-Tien Lu
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Predicting Depression and Anxiety on Reddit: A Multi-task Learning Approach
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data
Drug overdose deaths are a dreadful crisis that leads to substantial societal impairments. Its harmful impact directly affects families …
Abdulaziz Alhamadani عبدالعزيز الهمداني, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
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DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit
The drug abuse epidemic has been on the rise in the past few years, particularly after the start of COVID-19 pandemic. Our preliminary …
Abdulaziz Alhamadani عبدالعزيز الهمداني, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
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PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit
Forecasting high-risk areas of covid-19 infection through socioeconomic and static spatial analysis
Existing COVID-19 prediction models focus on studying the dynamic nature of the virus spread by using pandemic-related temporal data. …
Abdulaziz Alhamadani عبدالعزيز الهمداني, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu
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Forecasting high-risk areas of covid-19 infection through socioeconomic and static spatial analysis
Supporting embodied and remote collaboration in shared virtual environments
The COVID-19 pandemic has had a tremendous impact on businesses, educational institutions, and other organizations that require …
Mark Manuel, Poorvesh Dongre, Abdulaziz Alhamadani عبدالعزيز الهمداني, Denis Gračanin
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Supporting embodied and remote collaboration in shared virtual environments
Towards more accurate uncertainty estimation in text classification
The uncertainty measurement of classified results is especially important in areas requiring limited human resources for higher …
Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani عبدالعزيز الهمداني, Bei Xiao, ChangTien Lu
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Towards more accurate uncertainty estimation in text classification