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Shailik Sarkar
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2020 – today
- 2023
- [c10]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 - [c9]Lulwah Alkulaib
, Abdulaziz Alhamadani
, Shailik Sarkar
, Chang-Tien Lu
:
Hypergraph Text Classification for Mental Health Misleading Advice. ASONAM 2023: 522-529 - [c8]Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. IEEE Big Data 2023: 5014-5023 - 2022
- [c7]Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib
, Chang-Tien Lu:
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM 2022: 427-435 - [c6]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib
, Chang-Tien Lu:
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM 2022: 444-453 - [c5]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 - [c4]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 - [c3]Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. IEEE Big Data 2022: 5338-5345 - 2021
- [c2]Padmaksha Roy, Shailik Sarkar, Subhodip Biswas
, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan
, Chang-Tien Lu
:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM 2021: 168-175 - [c1]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 - [i1]Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR abs/2111.05199 (2021)
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