Maimuna S. Majumder

According to our database, Maimuna S. Majumder authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Self-Ensembling Vision-Language Models for Chart Data Extraction.

Thomas Berkane, Qianyi Wang, Maimuna S. Majumder

CoRR, May, 2026

EpiCurveBench: Evaluating VLMs on Epidemic Curve Digitization.

Thomas Berkane, Maimuna S. Majumder

CoRR, May, 2026

The AI Committee: A Multi-Agent Framework for Automated Validation and Remediation of Web-Sourced Data.

Sunith Vallabhaneni, Thomas Berkane, Maimuna S. Majumder

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Statistical vs. Deep Learning Models for Estimating Substance Overdose Excess Mortality in the US.

Sukanya Krishna, Marie-Laure Charpignon, Maimuna S. Majumder

CoRR, December, 2025

SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation.

Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer, Guilherme Espada, Leon Ingelse, Alcides Fonseca, Mikel Landajuela, Brenden K. Petersen, Ruben Glatt, T. Nathan Mundhenk, Chak Shing Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, Hengzhe Zhang, Grant Dick, Alessandro Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava

IEEE Trans. Evol. Comput., August, 2025

LLM-Based Web Data Collection for Research Dataset Creation.

Thomas Berkane, Marie-Laure Charpignon, Maimuna S. Majumder

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

What we should learn from pandemic publishing.

Satyaki Sikdar, Sara Venturini, Marie-Laure Charpignon, Sagar Kumar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato, Maimuna S. Majumder

CoRR, 2024

2023

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition.

Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer, Guilherme Espada, Leon Ingelse, Alcides Fonseca, Mikel Landajuela, Brenden K. Petersen, Ruben Glatt, T. Nathan Mundhenk, Chak Shing Lee, Jacob D. Hochhalter, David L. Randall, P. Kamienny, H. Zhang, Grant Dick, Alessandro Simon, Bogdan Burlacu, Jaan Kasak, Meera Vieira Machado, Casper Wilstrup, William G. La Cava

CoRR, 2023

2021

Tracking COVID-19 using online search.

Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry, Ingemar J. Cox

npj Digit. Medicine, 2021

2020

Real-time estimation of disease activity in emerging outbreaks using internet search information.

Emily L. Aiken, Sarah F. McGough, Maimuna S. Majumder, Gal Wachtel, André T. Nguyen, Cécile Viboud, Mauricio Santillana

PLoS Comput. Biol., 2020

Machine Learning Maps Research Needs in COVID-19 Literature.

Anhvinh Doanvo, Xiaolu Qian, Divya Ramjee, Helen Piontkivska, Angel Desai, Maimuna S. Majumder

Patterns, 2020

Tracking COVID-19 using online search.

Vasileios Lampos, Simon Moura, Elad Yom-Tov, Michael Edelstein, Maimuna S. Majumder, Rachel A. McKendry, Ingemar J. Cox

CoRR, 2020

2017

Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources.

Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan

CoRR, 2017

GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources.

Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017