For a complete list of my publications, please visit my Google Scholar profile.
Improving Machine Learning Models of Land Cover Change Using Spatial Sample Weights Based on Patch‐Level Landscape Metrics.
Alysha van Duynhoven, Suzana Dragićević, Christopher Bone
Transactions in GIS, 2026
Spatial sample weighted machine learning for multitemporal land cover change modeling with imbalanced datasets.
Alysha van Duynhoven, Suzana Dragićević
Big Earth Data, 2025
Machine Learning for Criteria Weighting in GIS-Based Multi-Criteria Evaluation: A Case Study of Urban Suitability Analysis.
Lan Qing Zhao, Alysha van Duynhoven, Suzana Dragićević
Land, 2024
The Geographic Automata Tool: A New General-Purpose Geosimulation Extension for ArcGIS Pro.
Applied Sciences, 2024
A landscape metrics-based sample weighting approach for forecasting land cover change with deep learning models.
Geocarto International, 2023
Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes.
ISPRS International Journal of Geo-Information, 2022
Assessing the Impact of Neighborhood Size on Temporal Convolutional Networks for Modeling Land Cover Change.
Remote Sensing, 2022
Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change.
Land, 2021
Cloudmaskgan: A Content-Aware Unpaired Image-To-Image Translation Algorithm for Remote Sensing Imagery.
Sorour Mohajerani, Reza Asad, Kumar Abhishek, Neha Sharma, Alysha van Duynhoven, Parvaneh Saeedi
2019 IEEE International Conference on Image Processing (ICIP), 2019
Spatially exploring the intersection of socioeconomic status and Canadian cancer-related medical crowdfunding campaigns.
Alysha van Duynhoven, Anthony Lee, Ross Michel, Jeremy Snyder, Valorie Crooks, Peter Chow-White, Nadine Schuurman
BMJ Open, 2019
Analyzing the Effects of Temporal Resolution and Classification Confidence for Modeling Land Cover Change with Long Short-Term Memory Networks.
Remote Sensing, 2019