Kyle Hasenstab

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 4

Top Topics

Unsupervised Feature Learning

Weakly Supervised

Restricted Boltzmann Machine

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Kyle Hasenstab, Justin Huynh, Samira Masoudi, Guilherme M. Cunha, Michael J. Pazzani, Albert Hsiao
Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features. IEEE Access 11 (2023)
Justin Huynh, Samira Masoudi, Abraham Noorbakhsh, Kyle Hasenstab, Michael J. Pazzani, Albert Hsiao
Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers. MIDL (2022)
Justin Huynh, Samira Masoudi, Abraham Noorbakhsh, Amin Mahmoodi, Seth Kligerman, Andrew Yen, Kathleen Jacobs, Lewis Hahn, Kyle Hasenstab, Michael J. Pazzani, Albert Hsiao
Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers. IEEE Access 10 (2022)
Kristen Hansen, Kyle Hasenstab, Armin Schwartzman
Estimating Mountain Glacier Flowlines by Local Linear Regression Gradient Descent. IEEE Trans. Geosci. Remote. Sens. 59 (12) (2021)