research
∙
09/14/2022
Use case-focused metrics to evaluate machine learning for diseases involving parasite loads
Communal hill-climbing, via comparison of algorithm performances, can gr...
share
research
∙
11/12/2021
PySINDy: A comprehensive Python package for robust sparse system identification
Automated data-driven modeling, the process of directly discovering the ...
research
∙
11/08/2021
A toolkit for data-driven discovery of governing equations in high-noise regimes
We consider the data-driven discovery of governing equations from time-s...
research
∙
08/05/2019
Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information
Malaria is a life-threatening disease affecting millions. Microscopy-bas...
research
∙
01/26/2019
Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy
Softmax is a standard final layer used in Neural Nets (NNs) to summarize...
research
∙
08/23/2018
Insect cyborgs: Biological feature generators improve machine learning accuracy on limited data
Despite many successes, machine learning (ML) methods such as neural net...
research
∙
02/15/2018
Putting a bug in ML: The moth olfactory network learns to read MNIST
We seek to (i) characterize the learning architectures exploited in biol...
research
∙
02/08/2018