Daniël Reichman

Predicting human decisions with behavioral theories and machine learning

Ori Plonsky, Reut Apel, Eyal Ert et al. · arXiv (Cornell University) · 2019 · 60 citations · Full text

Computing, Computer Science, Economics +16

Some good practices for applying convolutional neural networks to buried threat detection in Ground Penetrating Radar

Daniël Reichman, Leslie M. Collins, Jordan M. Malof · 2017 · 55 citations

Computing, Computer Science, Computer Vision +15

Improving convolutional neural networks for buried target detection in ground penetrating radar using transfer learning via pretraining

John Bralich, Daniël Reichman, Leslie M. Collins et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017 · 43 citations

Computing, Computer Science, Computer Vision +16

Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

Bohao Huang, Daniël Reichman, Leslie M. Collins et al. · arXiv (Cornell University) · 2018 · 30 citations · Full text

Computing, Computer Science, Computer Vision +16

On Choosing Training and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection

Daniël Reichman, Leslie M. Collins, Jordan M. Malof · IEEE Transactions on Geoscience and Remote Sensing · 2017 · 26 citations

Computing, Computer Science, Computer Vision +13