Kevin B. Flores

According to our database1, Kevin B. Flores authored at least 15 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

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Bibliography

2023
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa.
CoRR, 2023

2022
Multitask neural networks for predicting bladder pressure with time series data.
Biomed. Signal Process. Control., 2022

2021
Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis.
PLoS Comput. Biol., 2021

Deep learning and regression approaches to forecasting blood glucose levels for type 1 diabetes.
Biomed. Signal Process. Control., 2021

2020
Biologically-informed neural networks guide mechanistic modeling from sparse experimental data.
PLoS Comput. Biol., 2020

Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation.
CoRR, 2020

2019
A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018
Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Hybrid modeling and prediction of dynamical systems.
PLoS Comput. Biol., 2017

Statistical error model comparison for logistic growth of green algae (Raphidocelis subcapitata).
Appl. Math. Lett., 2017

2016
On analytical and numerical approaches to division and label structured population models.
Appl. Math. Lett., 2016

2015
Estimation of time-varying mortality rates using continuous models for Daphnia magna.
Appl. Math. Lett., 2015

Optimal design of non-equilibrium experiments for genetic network interrogation.
Appl. Math. Lett., 2015

2014
Uncertainty quantification for a model of HIV-1 patient response to antiretroviral therapy interruptions.
Proceedings of the American Control Conference, 2014

2013
A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data.
Appl. Math. Lett., 2013


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