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Publications from Imageomics groups (Methods in Ecology and Evolution format)

  1. Leipzig, J., Bakis, Y., Wang, X., Elhamod, M., Diamond, K., Dahdul, W., Karpatne, A., Maga, M., Mabee, P., Bart, H. L., & Greenberg, J. (2021). Biodiversity Image Quality Metadata Augments Convolutional Neural Network Classification of Fish Species. In E. Garoufallou & M.-A. Ovalle-Perandones (Eds.), Metadata and Semantic Research (pp. 3–12). Springer International Publishing. https://doi.org/10.1007/978-3-030-71903-6_1
  2. Diamond, K. M., Rolfe, S. M., Kwon, R. Y., & Maga, A. M. (2022). Computational anatomy and geometric shape analysis enables analysis of complex craniofacial phenotypes in zebrafish. Biology Open, 11(2), bio058948. https://doi.org/10.1242/bio.058948
  3. Elhamod, M., Diamond, K. M., Maga, A. M., Bakis, Y., Bart Jr., H. L., Mabee, P., Dahdul, W., Leipzig, J., Greenberg, J., Avants, B., & Karpatne, A. (2022). Hierarchy-guided neural network for species classification. Methods in Ecology and Evolution, 13(3), 642–652. https://doi.org/10.1111/2041-210X.13768
  4. Song, C. H., Kil, J., Pan, T.-Y., Sadler, B. M., Chao, W.-L., & Su, Y. (2022). One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. arXiv [cs.AI]. Retrieved from http://arxiv.org/abs/2202.07028

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