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Alysha van Duynhoven
Alysha van Duynhoven
PhD Candidate at Simon Fraser University
Verified email at sfu.ca - Homepage
Title
Cited by
Cited by
Year
Spatially exploring the intersection of socioeconomic status and Canadian cancer-related medical crowdfunding campaigns
A van Duynhoven, A Lee, R Michel, J Snyder, V Crooks, P Chow-White, ...
BMJ Open 9 (6), e026365, 2019
572019
Analyzing the Effects of Temporal Resolution and Classification Confidence for Modeling Land Cover Change with Long Short-Term Memory Networks
A van Duynhoven, S Dragićević
Remote Sensing 11 (23), 2784, 2019
172019
Cloudmaskgan: A Content-Aware Unpaired Image-To-Image Translation Algorithm for Remote Sensing Imagery
S Mohajerani, R Asad, K Abhishek, N Sharma, A van Duynhoven, ...
2019 IEEE International Conference on Image Processing (ICIP), 1965-1969, 2019
152019
Assessing the Impact of Neighborhood Size on Temporal Convolutional Networks for Modeling Land Cover Change
A van Duynhoven, S Dragićević
Remote Sensing 14 (19), 4957, 2022
42022
Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes
A van Duynhoven, S Dragićević
ISPRS International Journal of Geo-Information 11 (12), 587, 2022
32022
Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change
A van Duynhoven, S Dragićević
Land 10 (3), 282, 2021
32021
Machine Learning for Criteria Weighting in GIS-Based Multi-Criteria Evaluation: A Case Study of Urban Suitability Analysis
LQ Zhao, A van Duynhoven, S Dragićević
Land 13 (8), 1288, 2024
12024
The Geographic Automata Tool: A New General-Purpose Geosimulation Extension for ArcGIS Pro
A van Duynhoven, S Dragićević
Applied Sciences 14 (15), 6530, 2024
12024
A landscape metrics-based sample weighting approach for forecasting land cover change with deep learning models
A van Duynhoven, S Dragićević
Geocarto International 38 (1), 2240283, 2023
2023
Evaluating long short-term memory networks for modeling land cover change
A van Duynhoven
Environment: Department of Geography, 2019
2019
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