Jesse Johnson

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 6

Top Topics

Protein Function Prediction

Multilayer Perceptron

Global Image Statistics

Top Venues

Ann. Pure Appl. Log.

Frontiers Big Data

Publications

Kellen Donahue, John S. Kimball, Jinyang Du, Fredrick Bunt, Andreas Colliander, Mahta Moghaddam, Jesse Johnson, Youngwook Kim, Michael A. Rawlins
Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations. Frontiers Big Data 6 (2023)
Youngwook Kim, Hotaek Park, John S. Kimball, Andreas Colliander, Jesse Johnson
Estimating Global Evapotranspiration Using Smap Surface and Root-Zone Moisture Content. IGARSS (2020)
Jesse Johnson
Deep, Skinny Neural Networks are not Universal Approximators. ICLR (Poster) (2019)
Marzyeh Ghassemi, Mahima Pushkarna, James Wexler, Jesse Johnson, Paul Varghese
ClinicalVis: Supporting Clinical Task-Focused Design Evaluation. CoRR (2018)
Jesse Johnson
Deep, Skinny Neural Networks are not Universal Approximators. CoRR (2018)
Ryan Blair, Marion Campisi, Jesse Johnson, Scott A. Taylor, Maggy Tomova
Neighbors of Knots in the Gordian Graph. Am. Math. Mon. 124 (1) (2017)
R. Sean Bowman, Douglas R. Heisterkamp, Jesse Johnson, Danielle O'Donnol
An application of topological graph clustering to protein function prediction. CoRR (2014)
Jesse Johnson
. Ann. Pure Appl. Log. 165 (7-8) (2014)
Jesse Johnson, Julia F. Knight, V. Ocasio, S. VanDenDriessche
An example related to Gregory's Theorem. Arch. Math. Log. 52 (3-4) (2013)
Jacob Carson, Jesse Johnson, Julia F. Knight, Karen M. Lange, Charles F. D. McCoy, John Wallbaum
. Comput. 2 (2) (2013)
Douglas R. Heisterkamp, Jesse Johnson
Pinch Ratio Clustering from a Topologically Intrinsic Lexicographic Ordering. SDM (2013)
Jesse Johnson
Topological graph clustering with thin position CoRR (2012)