Rebecca A. Hutchinson

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 10

Top Topics

Link Prediction

Social And Information Networks

Geospatial Data

Top Venues

Int. J. Appl. Earth Obs. Geoinformation

Publications

Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo
Under-Counted Tensor Completion with Neural Incorporation of Attributes. CoRR (2023)
Jing Wang, Laurel Hopkins, Tyler A. Hallman, W. Douglas Robinson, Rebecca A. Hutchinson
Cross-validation for Geospatial Data: Estimating Generalization Performance in Geostatistical Problems. Trans. Mach. Learn. Res. 2023 (2023)
Shahana Ibrahim, Xiao Fu, Rebecca A. Hutchinson, Eugene Seo
Under-Counted Tensor Completion with Neural Incorporation of Attributes. ICML (2023)
Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. CoRR (2021)
Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. IEEE Trans. Knowl. Data Eng. 33 (8) (2021)
Chunxue Xu, Perry Hystad, Rui Chen, Jamon Van Den Hoek, Rebecca A. Hutchinson, Steve Hankey, Robert Kennedy
Application of training data affects success in broad-scale local climate zone mapping. Int. J. Appl. Earth Obs. Geoinformation 103 (2021)
Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. AAAI (2021)
Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson
Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. CoRR (2019)
Eugene Seo, Rebecca A. Hutchinson
Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback. AAAI (2018)
Rebecca A. Hutchinson, Liqiang He, Sarah C. Emerson
Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise. AAAI (2017)
Jun Yu, Rebecca A. Hutchinson, Weng-Keen Wong
A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists. AAAI (2014)
Thomas G. Dietterich, Ethan W. Dereszynski, Rebecca A. Hutchinson, Daniel R. Sheldon
Machine learning for computational sustainability. IGCC (2012)
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich
Incorporating Boosted Regression Trees into Ecological Latent Variable Models. AAAI (2011)
Jun Yu, Weng-Keen Wong, Rebecca A. Hutchinson
Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling. ICDM (2010)
Rebecca A. Hutchinson, Radu Stefan Niculescu, Timothy A. Keller, Indrayana Rustandi, Tom M. Mitchell
Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models. NeuroImage 46 (1) (2009)
Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi
Hidden process models. ICML (2006)
Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman
Learning to Decode Cognitive States from Brain Images. Mach. Learn. 57 (1-2) (2004)
Tom M. Mitchell, Rebecca A. Hutchinson, Marcel Adam Just, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang
Classifying Instantaneous Cognitive States from fMRI Data. AMIA (2003)
Xuerui Wang, Rebecca A. Hutchinson, Tom M. Mitchell
Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects. NIPS (2003)