C. Raina MacIntyre

According to our database, C. Raina MacIntyre authored at least 12 papers between 2017 and 2025.

Collaborative distances:

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

2025

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models.

Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David J. Heslop, Andreas Züfle, C. Raina MacIntyre, Flora Salim

CoRR, June, 2025

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting.

Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Züfle, C. Raina MacIntyre, Flora D. Salim

CoRR, May, 2025

Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare.

Yonchanok Khaokaew, Flora D. Salim, Andreas Züfle, Hao Xue, Taylor Anderson, C. Raina MacIntyre, Matthew Scotch, David J. Heslop

CoRR, April, 2025

2024

Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread.

Andreas Züfle, Flora D. Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David J. Heslop, Hye-Young Paik, C. Raina MacIntyre

ACM Trans. Spatial Algorithms Syst., June, 2024

2023

Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance.

Jaeff Hong, Duong Dung, Danielle Hutchinson, Zubair Akhtar, Rosalie Chen, Rebecca Dawson, Aditya Joshi, Samsung Lim, C. Raina MacIntyre, Deepti Gurdasani

CoRR, 2023

2020

Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

ACM Comput. Surv., 2020

'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia.

Brian Jin, Aditya Joshi, Ross Sparks, Stephen Wan, Cécile Paris, C. Raina MacIntyre

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

CoRR, 2019

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection.

Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

2017

ZikaHack 2016: A digital disease detection competition.

Dillon C. Adam, Jitendra Jonnagaddala, Daniel Han-Chen, Sean Batongbacal, Luan Almeida, Jing Z. Zhu, Jenny J. Yang, Jumail M. Mundekkat, Steven Badman, Abrar Chughtai, C. Raina MacIntyre

Proceedings of the International Workshop on Digital Disease Detection using Social Media, 2017