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ORCIDLulwah Alkulaib
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Books and Theses
- 2024
[b1]Lulwah Alkulaib:
Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction. Virginia Tech, Blacksburg, VA, USA, 2024
Conference and Workshop Papers
- 2024
- [c15]Mariam Almutairi, Lulwah Alkulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, Chang-Tien Lu:
FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics. BCB 2024: 38:1-38:7 - [c14]Mariam Almutairi, Lulwah Alkulaib, Melike Yildiz Aktas, Sara A. Alsalamah, Chang-Tien Lu:
Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques. ArabicNLP 2024: 11-26 - 2023
- [c13]Abdulaziz Alhamadani
, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu:
From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. ASONAM 2023: 492-501 - [c12]Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
Hypergraph Text Classification for Mental Health Misleading Advice. ASONAM 2023: 522-529 - [c11]Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu:
UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. IEEE Big Data 2023: 5134-5139 - [c10]Lulwah Alkulaib, Chang-Tien Lu:
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. IEEE Big Data 2023: 5140-5145 - 2022
- [c9]Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu:
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM 2022: 427-435 - [c8]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM 2022: 444-453 - [c7]Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. IEEE Big Data 2022: 693-700 - [c6]Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu:
Twitter Bot Identification: An Anomaly Detection Approach. IEEE Big Data 2022: 3577-3585 - [c5]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. IEEE Big Data 2022: 5163-5172 - 2021
- [c4]Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu:
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. IEEE BigData 2021: 4313-4322 - 2019
- [c3]Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu:
Collect Ethically: Reduce Bias in Twitter Datasets. SIMBig 2019: 106-114 - 2018
- [c2]SiHua Qi, Lulwah Alkulaib, David A. Broniatowski:
Detecting and Characterizing Bot-Like Behavior on Twitter. SBP-BRiMS 2018: 228-232 - 2017
- [c1]Robert Pless, Rebecca Begtrup, Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski:
Recognizing Images of Eating Disorders in Social Media. SMM4H@AMIA 2017: 42
Coauthor Index
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