Brian Caffo

Research activity per year

Filter

2023
PROSPECTIVE LEARNING: PRINCIPLED EXTRAPOLATION TO THE FUTURE
De Silva, A., Ramesh, R., Ungar, L., Shuler, M. H., Cowan, N. J., Platt, M., Li, C., Isik, L., Roh, S. E., Charles, A., Venkataraman, A., Caffo, B., How, J. J., Kebschull, J. M., Krakauer, J. W., Bichuch, M., Kinfu, K. A., Yezerets, E., Jayaraman, D. & Shin, J. M. & 22 others, Villar, S., Phillips, I., Priebe, C. E., Hartung, T., Miller, M. I., Dey, J., Huang, N. T., Eaton, E., Etienne-Cummings, R., Ogburn, E. L., Burns, R., Osuagwu, O., Mensh, B., Muotri, A. R., Brown, J., White, C., Yang, W., Rusu, A. A., Verstynen, T., Kording, K. P., Chaudhari, P. & Vogelstein, J. T., 2023, In: Proceedings of Machine Learning Research. 232, p. 347-357 11 p.
Research output: Contribution to journal › Conference article › peer-review
2015
Robust portfolio optimization
Qiu, H., Han, F., Liu, H. & Caffo, B., 2015, In: Advances in Neural Information Processing Systems. 2015-January, p. 46-54 9 p.
Research output: Contribution to journal › Conference article › peer-review
9 Scopus citations
2011
Assessment of bias for MRI diffusion tensor imaging using SIMEX
Lauzon, C. B., Asman, A. J., Crainiceanu, C., Caffo, B. C. & Landman, B. A., 2011, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6892 LNCS, PART 2, p. 107-115 9 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access
4 Scopus citations

Research output