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 | 55 | 2019 |
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 | 16 | 2019 |
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 | 15 | 2019 |
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 | 3 | 2022 |
Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change A van Duynhoven, S Dragićević Land 10 (3), 282, 2021 | 3 | 2021 |
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 | 2 | 2022 |
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 |