Shawn D. Taylor

Orcid: 0000-0002-6178-6903

Affiliations:
  • New Mexico State University, Las Cruces, NM, USA
  • University of Florida Gainesville, FL, USA (PhD 2019)


According to our database1, Shawn D. Taylor authored at least 252 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025







2024


































portalcasting: Supporting automated forecasting of rodent populations.
Dataset, January, 2024

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, January, 2024

2023
portalcasting: Supporting automated forecasting of rodent populations.
Dataset, December, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, December, 2023



portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2023






portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2023




portalcasting: Supporting automated forecasting of rodent populations.
Dataset, March, 2023






portalcasting: Supporting automated forecasting of rodent populations.
Dataset, February, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, February, 2023

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, February, 2023





portalcasting: Supporting automated forecasting of rodent populations.
Dataset, January, 2023

2022










portalcasting: Supporting automated forecasting of rodent populations.
Dataset, November, 2022




portalcasting: Supporting automated forecasting of rodent populations.
Dataset, October, 2022



















portalcasting: Supporting automated forecasting of rodent populations.
Dataset, June, 2022






portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, May, 2022





portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, April, 2022






portalcasting: Supporting automated forecasting of rodent populations.
Dataset, March, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, March, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, March, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, March, 2022






portalcasting: Supporting automated forecasting of rodent populations.
Dataset, January, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, January, 2022

portalcasting: Supporting automated forecasting of rodent populations.
Dataset, January, 2022

Classification of Daily Crop Phenology in PhenoCams Using Deep Learning and Hidden Markov Models.
Remote. Sens., 2022

portalcasting: Supporting automated forecasting of rodent populations.
J. Open Source Softw., 2022

2021





















































Rdataretriever: R Interface to the Data Retriever.
J. Open Source Softw., 2021

2020


















Functions Used in Predicting Portal Rodent Dynamics.
Dataset, January, 2020

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, January, 2020

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, January, 2020

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, January, 2020

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, January, 2020

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, January, 2020

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, January, 2020

2019

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, December, 2019

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, December, 2019

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, December, 2019

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, October, 2019

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, October, 2019

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, September, 2019

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, September, 2019

Functions Used in Predicting Portal Rodent Dynamics.
Dataset, September, 2019




Functions Used in Predicting Portal Rodent Dynamics.
Dataset, July, 2019



portalr: an R package for summarizing and using the Portal Project Data.
J. Open Source Softw., 2019

2018


pyPhenology: A python framework for plant phenology modelling.
J. Open Source Softw., 2018


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