Rebecca A. Hutchinson

According to our database, Rebecca A. Hutchinson authored at least 17 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models.

Nahian Ahmed, Mark Roth, Tyler A. Hallman, W. Douglas Robinson, Rebecca A. Hutchinson

CoRR, 2024

2023

Cross-validation for Geospatial Data: Estimating Generalization Performance in Geostatistical Problems.

Jing Wang, Laurel Hopkins, Tyler A. Hallman, W. Douglas Robinson, Rebecca A. Hutchinson

Trans. Mach. Learn. Res., 2023

Under-Counted Tensor Completion with Neural Incorporation of Attributes.

Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo

Proceedings of the International Conference on Machine Learning, 2023

2021

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

Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson

IEEE Trans. Knowl. Data Eng., 2021

Application of training data affects success in broad-scale local climate zone mapping.

Chunxue Xu, Perry Hystad, Rui Chen, Jamon Van Den Hoek, Rebecca A. Hutchinson, Steve Hankey, Robert Kennedy

Int. J. Appl. Earth Obs. Geoinformation, 2021

StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling.

Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback.

Eugene Seo, Rebecca A. Hutchinson

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.

Rebecca A. Hutchinson, Liqiang He, Sarah C. Emerson

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.

Jun Yu, Rebecca A. Hutchinson, Weng-Keen Wong

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012

Machine learning for computational sustainability.

Thomas G. Dietterich, Ethan W. Dereszynski, Rebecca A. Hutchinson, Dan Sheldon

Proceedings of the 2012 International Green Computing Conference, 2012

2011

Incorporating Boosted Regression Trees into Ecological Latent Variable Models.

Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling.

Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson

Proceedings of the ICDM 2010, 2010

2009

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

Rebecca A. Hutchinson, Radu Stefan Niculescu, Timothy A. Keller, Indrayana Rustandi, Tom M. Mitchell

NeuroImage, 2009

2006

Hidden process models.

Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi

Proceedings of the Machine Learning, 2006

2004

Learning to Decode Cognitive States from Brain Images.

Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman

Mach. Learn., 2004

2003

Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects.

Xuerui Wang, Rebecca A. Hutchinson, Tom M. Mitchell

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Classifying Instantaneous Cognitive States from fMRI Data.

Tom M. Mitchell, Rebecca A. Hutchinson, Marcel Adam Just, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang

Proceedings of the AMIA 2003, 2003