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Emma E. H. Doyle

Emma Hudson-Doyle

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2020 – today

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2023
[j2]
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  dblp key:
  - journals/snam/AlgiriyagePSDJ23
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  - https://dblp.org/rec/journals/snam/AlgiriyagePSDJ23
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]
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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]
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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]
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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]
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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]
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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

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2019
[c1]
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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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