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Emma E. H. Doyle
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2020 – today
- 2023
- [j2]Nilani Algiriyage, Raj Prasanna, Kristin Stock, Emma E. H. Doyle, David Johnston:
DEES: a real-time system for event extraction from disaster-related web text. Soc. Netw. Anal. Min. 13(1): 6 (2023) - 2022
- [j1]Nilani Algiriyage
, Raj Prasanna, Kristin Stock, Emma E. H. Doyle, David Johnston:
Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review. SN Comput. Sci. 3(1): 92 (2022) - 2021
- [c5]Nilani Algiriyage, Raj Prasanna, Kristin Stock, Emma Hudson-Doyle, David Johnston, Minura Punchihewa, Santhoopa Jayawardhana:
Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage. ISCRAM 2021: 40-48 - [c4]Nilani Algiriyage, Rangana Sampath, Raj Prasanna, Kristin Stock, Emma Hudson-Doyle, David Johnston:
Identifying Disaster-related Tweets: A Large-Scale Detection Model Comparison. ISCRAM 2021: 731-743 - 2020
- [c3]Nilani Algiriyage, Raj Prasanna, Emma E. H. Doyle, Kristin Stock, David Johnston:
Traffic Flow Estimation based on Deep Learning for Emergency Traffic Management using CCTV Images. ISCRAM 2020: 100-109 - [c2]Marion Lara Tan, Sara Harrison, Julia S. Becker, Emma E. H. Doyle, Raj Prasanna:
Research Themes on Warnings in Information Systems Crisis Management Literature. ISCRAM 2020: 1085-1099
2010 – 2019
- 2019
- [c1]Marion Lara Tan, Raj Prasanna, Kristin Stock, Emma Hudson-Doyle, Graham Leonard, David Johnston:
Enhancing the usability of a disaster app: exploring the perspective of the public as users. ISCRAM 2019
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