Maryam Tabar

According to our database, Maryam Tabar authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

A New Lens on Homelessness: Daily Tent Monitoring with 311 Calls and Street Images.

Wooyong Jung, Sola Kim, Dongwook Kim, Maryam Tabar, Dongwon Lee

CoRR, August, 2025

Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises.

Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad

CoRR, May, 2025

Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records.

Maryam Tabar, Anusha Abdulla, J. Andrew Petersen, Dongwon Lee

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Investigating the Potential of Multi-Task Learning for Enhancing SSQ Prediction.

Anjan Kumar Dev, Purnata Saha, Jyotirmay Nag Setu, Samuel Ang, John Quarles, Maryam Tabar

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2025

2024

Generative AI Disproportionately Harms Long Tail Users.

Barani Maung Maung, Keegan McBride, Jason Samuel Lucas, Maryam Tabar, Dongwon Lee

Computer, November, 2024

The Longtail Impact of Generative AI on Disinformation: Harmonizing Dichotomous Perspectives.

Jason Samuel Lucas, Barani Maung Maung, Maryam Tabar, Keegan McBride, Dongwon Lee

IEEE Intell. Syst., 2024

Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent.

Fatemeh Haji, Mazal Bethany, Maryam Tabar, Jason Cho-Yu Chiang, Anthony Rios, Peyman Najafirad

CoRR, 2024

On the Consistency of Fairness Measurement Methods for Regression Tasks.

Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad

CoRR, 2024

Hotspots of Eviction: Guiding Dual-Track Policy Intervention with Spatial Analysis.

Wooyong Jung, Maryam Tabar, Dongwon Lee

Proceedings of the IEEE International Conference on Big Data, 2024

2022

Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy.

Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records.

Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors.

Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting.

Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers.

Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.

Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020