Rebecca A. Hutchinson

According to our database1, Rebecca A. Hutchinson authored at least 13 papers between 2003 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling.
CoRR, 2021

2019
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks.
CoRR, 2019

2018
Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2014
A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012
Machine learning for computational sustainability.
Proceedings of the 2012 International Green Computing Conference, 2012

2011
Incorporating Boosted Regression Trees into Ecological Latent Variable Models.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling.
Proceedings of the ICDM 2010, 2010

2009
Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models.
NeuroImage, 2009

2006
Hidden process models.
Proceedings of the Machine Learning, 2006

2004
Learning to Decode Cognitive States from Brain Images.
Mach. Learn., 2004

2003
Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Classifying Instantaneous Cognitive States from fMRI Data.
Proceedings of the AMIA 2003, 2003


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