Lulwah Alkulaib

According to our database, Lulwah Alkulaib authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction.

Lulwah Alkulaib

PhD thesis, 2024

Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques.

Mariam Almutairi, Lulwah Alkulaib, Melike Yildiz Aktas, Sara A. Alsalamah, Chang-Tien Lu

Proceedings of The Second Arabic Natural Language Processing Conference, 2024

2023

Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification.

Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2023

UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset.

Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2023

Hypergraph Text Classification for Mental Health Misleading Advice.

Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

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.

Abdulaziz Alhamadani, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Twitter Bot Identification: An Anomaly Detection Approach.

Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets.

Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data.

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach.

Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu

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.

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu

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.

Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Collect Ethically: Reduce Bias in Twitter Datasets.

Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu

Proceedings of the Information Management and Big Data - 6th International Conference, 2019

2018

Detecting and Characterizing Bot-Like Behavior on Twitter.

SiHua Qi, Lulwah Alkulaib, David A. Broniatowski

Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

2017

Recognizing Images of Eating Disorders in Social Media.

Robert Pless, Rebecca Begtrup, Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski

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