Behzad Vahedi

13 papers C 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning.
CoRR
Aaron Bell, Amit Aides, Amr Helmy, Arbaaz Muslim, Aviad Barzilai, Aviv Slobodkin, Bolous Jaber, David Schottlander, George Leifman, Joydeep Paul, Mimi Sun, Nadav Sherman, Natalie Williams, Per Bjornsson, Roy Lee, Ruth Alcantara, Thomas Turnbull, Tomer Shekel, Vered Silverman, Yotam Gigi, Adam Boulanger, Alex Ottenwess, Ali Ahmadalipour, Anna Carter, Behzad Vahedi, Charles Elliott, David Andre, Elad Aharoni, Gia Jung, Hassler Thurston, Jacob Bien, Jamie McPike, Juliet Rothenberg, Kartik Hegde, Kel Markert, Kim Philipp Jablonski, Luc Houriez, Monica Bharel, Phing VanLee, Reuven Sayag, Sebastian Pilarski, Shelley Cazares, Shlomi Pasternak, Siduo Jiang, Thomas Colthurst, Yang Chen, Yehonathan Refael, Yochai Blau, Yuval Carny, Yael Maguire, Avinatan Hassidim, James Manyika, Tim Thelin, Genady Beryozkin, Gautam Prasad, Luke Barrington, Yossi Matias, Niv Efron, Shravya Shetty
2025 J jnl
Investigating the Effect of Spatial Context on Multi-Task Sea Ice Segmentation.
CoRR
Behzad Vahedi, Rafael Pires de Lima, Sepideh Jalayer, Walter N. Meier, Andrew P. Barrett, Morteza Karimzadeh
2025 J jnl
Scalable Geospatial Data Generation Using AlphaEarth Foundations Model.
CoRR
Luc Houriez, Sebastian Pilarski, Behzad Vahedi, Ali Ahmadalipour, Teo Honda Scully, Nicholas Aflitto, David Andre, Caroline Jaffe, Martha Wedner, Rich Mazzola, Josh Jeffery, Ben Messinger, Sage McGinley-Smith, Sarah Russell
2024 J jnl
Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Behzad Vahedi, Benjamin Lucas, Farnoush Banaei Kashani, Andrew P. Barrett, Walter N. Meier, Siri Jodha Singh Khalsa, Morteza Karimzadeh
2024 J jnl
Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts.
CoRR
Behzad Vahedi, Benjamin Lucas, Farnoush Banaei Kashani, Andrew P. Barrett, Walter N. Meier, Siri Jodha S. Khalsa, Morteza Karimzadeh
2023 J jnl
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA.
Int. J. Data Sci. Anal.
Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
2023 C conf
Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type Segmentation.
IGARSS
Rafael Pires de Lima, Behzad Vahedi, Morteza Karimzadeh
2023 J jnl
Comparison of Cross-Entropy, Dice, and Focal Loss for Sea Ice Type Segmentation.
CoRR
Rafael Pires de Lima, Behzad Vahedi, Morteza Karimzadeh
2023 J jnl
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions.
CoRR
Rafael Pires de Lima, Behzad Vahedi, Nick Hughes, Andrew P. Barrett, Walter N. Meier, Morteza Karimzadeh
2021 J jnl
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States.
CoRR
Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
2020 J jnl
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.
Int. J. Medical Informatics
Abolfazl Mollalo, Behrooz Vahedi, Shreejana Bhattarai, Laura C. Hopkins, Swagata Banik, Behzad Vahedi
2016 — conf
Exploring the Notion of Spatial Lenses.
GIScience
Christopher Allen, Thomas Hervey, Sara Lafia, Daniel W. Phillips, Behzad Vahedi, Werner Kuhn
2016 — conf
Question-Based Spatial Computing - A Case Study.
AGILE Conf.
Behzad Vahedi, Werner Kuhn, Andrea Ballatore