Zadrozny, Bianca

Transforming classifier scores into accurate multiclass probability estimates

Zadrozny, B., & Elkan, C. (2002) · Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 1,280

Learning and evaluating classifiers under sample selection bias

Zadrozny, B. (2004) · Twenty-first international conference on Machine learning - ICML '04

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 800

Cost-sensitive learning by cost-proportionate example weighting

Zadrozny, B., Langford, J., & Abe, N. (2004) · Third IEEE International Conference on Data Mining

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 680

Foundation Models for Generalist Geospatial Artificial Intelligence

Jakubik, J., Roy, S., Phillips, C. E., Fraccaro, P., Godwin, D., Zadrozny, B., Szwarcman, D., Gomes, C., Nyirjesy, G., Edwards, B., et al. (2023) · arXiv

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 157

Prithvi-EO-2.0: A Versatile Multitemporal Foundation Model for Earth Observation Applications

Szwarcman, D., Roy, S., Fraccaro, P., Gislason, T. E., Blumenstiel, B., Ghosal, R., de Oliveira, P. H., de Sousa Almeida, J. L., Sedona, R., Kang, Y., et al. (2026) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 100

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications

Szwarcman, D., Roy, S., Fraccaro, P., Gíslason, Þ. E., Blumenstiel, B., Ghosal, R., de Oliveira, P. H., Almeida, J. L. D. S., Sedona, R., Kang, Y., et al. (2024) · arXiv

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 99