Lulwah Alkulaib

Orcid: 0000-0001-9827-0882

According to our database1, Lulwah Alkulaib authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2018
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2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction.
PhD thesis, 2024

Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques.
Proceedings of The Second Arabic Natural Language Processing Conference, 2024

FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Enhancing School Success Prediction with FRC and Merged GNN.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

2023
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset.
Proceedings of the IEEE International Conference on Big Data, 2023

Hypergraph Text Classification for Mental Health Misleading Advice.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Twitter Bot Identification: An Anomaly Detection Approach.
Proceedings of the IEEE International Conference on Big Data, 2022

HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets.
Proceedings of the IEEE International Conference on Big Data, 2022

DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data.
Proceedings of the IEEE International Conference on Big Data, 2022

Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019
Collect Ethically: Reduce Bias in Twitter Datasets.
Proceedings of the Information Management and Big Data - 6th International Conference, 2019

2018
Detecting and Characterizing Bot-Like Behavior on Twitter.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

2017
Recognizing Images of Eating Disorders in Social Media.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017


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