Maryam Tabar

19 papers A* 5A 2B 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
A Comparative Study of Data Augmentation Methods for Improving Cybersickness Prediction.
AIxVR
Purnata Saha, Jyotirmay Nag Setu, Anjan Dev, Rifatul Islam, Maryam Tabar, John Quarles
2026 — conf
Prediction of Cybersickness Symptoms in Virtual Reality Using Prototypical Networks.
AIxVR
Anjan Kumar Dev, John Quarles, Maryam Tabar
2025 J jnl
A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression.
CoRR
Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
2025 — conf
A New Lens on Homelessness: Daily Tent Monitoring with 311 Calls and Street Images.
SBP-BRiMS
Wooyong Jung, Sola Kim, Dongwook Kim, Maryam Tabar, Dongwon Lee
2025 J jnl
A New Lens on Homelessness: Daily Tent Monitoring with 311 Calls and Street Images.
CoRR
Wooyong Jung, Sola Kim, Dongwook Kim, Maryam Tabar, Dongwon Lee
2025 — conf
Investigating the Potential of Multi-Task Learning for Enhancing SSQ Prediction.
VR Workshops
Anjan Kumar Dev, Purnata Saha, Jyotirmay Nag Setu, Samuel Ang, John Quarles, Maryam Tabar
2025 J jnl
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises.
CoRR
Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
2025 A conf
Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records.
WSDM
Maryam Tabar, Anusha Abdulla, J. Andrew Petersen, Dongwon Lee
2024 J jnl
Generative AI Disproportionately Harms Long Tail Users.
Computer
Barani Maung Maung, Keegan McBride, Jason Samuel Lucas, Maryam Tabar, Dongwon Lee
2024 B conf
Hotspots of Eviction: Guiding Dual-Track Policy Intervention with Spatial Analysis.
IEEE Big Data
Wooyong Jung, Maryam Tabar, Dongwon Lee
2024 J jnl
Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent.
CoRR
Fatemeh Haji, Mazal Bethany, Maryam Tabar, Jason Cho-Yu Chiang, Anthony Rios, Peyman Najafirad
2024 J jnl
On the Consistency of Fairness Measurement Methods for Regression Tasks.
CoRR
Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
2024 J jnl
The Longtail Impact of Generative AI on Disinformation: Harmonizing Dichotomous Perspectives.
IEEE Intell. Syst.
Jason Samuel Lucas, Barani Maung Maung, Maryam Tabar, Keegan McBride, Dongwon Lee
2022 A* conf
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy.
IJCAI
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
2022 A* conf
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors.
AAAI
Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav
2022 A conf
WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records.
CIKM
Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
2021 A* conf
A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting.
KDD
Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav
2020 A* conf
DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.
KDD
Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
2020 A* conf
Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers.
KDD
Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav