Lulwah AlKulaib
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    • Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction
    • Hypergraph Text Classification for Mental Health Misleading Advice
    • Analyzing Prediction of Depression and Anxiety on Reddit: a Multi-task Learning Approach through GMMTL
    • Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification
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    • DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data
    • HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets
    • Predicting depression and anxiety on reddit: a multi-task learning approach
    • PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit
    • Twitter bot identification: An anomaly detection approach
    • Forecasting high-risk areas of covid-19 infection through socioeconomic and static spatial analysis
    • Collect Ethically: Reduce Bias in Twitter Datasets
    • Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate
    • NYT coverage of our "Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate" paper.
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Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction

Jan 1, 2024·
Lulwah Ahmad KH Alkulaib
· 0 min read
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Journal article
Last updated on Jan 1, 2024
Hypergraph Text Classification for Mental Health Misleading Advice Nov 6, 2023 →

© 2024 Lulwah AlKulaib. This work is licensed under CC BY NC ND 4.0