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Kirita-Rose Escott

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2020 – today

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2024
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  - journals/datascience/BrownWWEBRLTKK24
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Paul T. Brown, Daniel Wilson, Kiri West, Kirita-Rose Escott, Kiya Basabas, Ben Ritchie, Danielle Lucas, Ivy Taia, Natalie Kusabs, Te Taka Keegan:
Māori Algorithmic Sovereignty: Idea, Principles, and Use. Data Sci. J. 23 (2024)
2023
[c5]
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  - conf/evoW/EscottMC23
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Kirita-Rose Escott, Hui Ma, Gang Chen:
Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing. EvoCOP 2023: 146-161
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Fintan O'Sullivan, Kirita-Rose Escott, Rachael C. Shaw, Andrew Lensen:
Feature-based Image Matching for Identifying Individual Kākā. CoRR abs/2301.06678 (2023)
[i1]
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  - journals/corr/abs-2311-15473
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Paul T. Brown, Daniel Wilson, Kiri West, Kirita-Rose Escott, Kiya Basabas, Ben Ritchie, Danielle Lucas, Ivy Taia, Natalie Kusabs, Te Taka Keegan:
Māori algorithmic sovereignty: idea, principles, and use. CoRR abs/2311.15473 (2023)
2022
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  - conf/ausai/EscottMC22
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Kirita-Rose Escott, Hui Ma, Gang Chen:
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing. AI 2022: 440-451
2020
[c3]
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Kirita-Rose Escott, Hui Ma, Gang Chen:
Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud. DEXA (2) 2020: 76-90
[c2]
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Kirita-Rose Escott, Hui Ma, Gang Chen:
A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud. SSCI 2020: 3141-3148

2010 – 2019

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2019
[c1]
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Kirita-Rose Escott, James Noble:
Design patterns for angular hotdraw. EuroPLoP 2019: 35:1-35:13

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