Question-Based Spatial Computing - A Case Study. - Behzad Vahedi; Werner Kuhn; Andrea Ballatore (AGILE Conf., 2016)

Exploring the Notion of Spatial Lenses. - Christopher Allen; Thomas Hervey; Sara Lafia; Daniel W. Phillips; Behzad Vahedi; Werner Kuhn (GIScience, 2016)

Predicting the hotspots of age-adjusted mortality rates of lower respiratory infection across the continental United States: Integration of GIS, spatial statistics and machine learning algorithms. - Abolfazl Mollalo; Behrooz Vahedi; Shreejana Bhattarai; Laura C. Hopkins; Swagata Banik; Behzad Vahedi (Int. J. Medical Informatics, 2020)

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States. - Benjamin Lucas; Behzad Vahedi; Morteza Karimzadeh (CoRR, 2021)

Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type Segmentation. - Rafael Pires de Lima; Behzad Vahedi; Morteza Karimzadeh (IGARSS, 2023)

Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions. - Rafael Pires de Lima; Behzad Vahedi; Nick Hughes; Andrew P. Barrett; Walter N. Meier; Morteza Karimzadeh (CoRR, 2023)

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA. - Benjamin Lucas; Behzad Vahedi; Morteza Karimzadeh (Int. J. Data Sci. Anal., 2023)

Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts. - Behzad Vahedi; Benjamin Lucas; Farnoush Banaei Kashani; Andrew P. Barrett; Walter N. Meier; Siri Jodha Singh Khalsa; Morteza Karimzadeh (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Investigating the Effect of Spatial Context on Multi-Task Sea Ice Segmentation. - Behzad Vahedi; Rafael Pires de Lima; Sepideh Jalayer; Walter N. Meier; Andrew P. Barrett; Morteza Karimzadeh (CoRR, 2025)