Classifying Instantaneous Cognitive States from fMRI Data. - Tom M. Mitchell; Rebecca A. Hutchinson; Marcel Adam Just; Radu Stefan Niculescu; Francisco Pereira 001; Xuerui Wang (AMIA, 2003)

Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects. - Xuerui Wang; Rebecca A. Hutchinson; Tom M. Mitchell (NIPS, 2003)

Learning to Decode Cognitive States from Brain Images. - Tom M. Mitchell; Rebecca A. Hutchinson; Radu Stefan Niculescu; Francisco Pereira 001; Xuerui Wang; Marcel Adam Just; Sharlene D. Newman (Mach. Learn., 2004)

Hidden process models. - Rebecca A. Hutchinson; Tom M. Mitchell; Indrayana Rustandi (ICML, 2006)

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)

Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling. - Jun Yu; Weng-Keen Wong; Rebecca A. Hutchinson (ICDM, 2010)

Incorporating Boosted Regression Trees into Ecological Latent Variable Models. - Rebecca A. Hutchinson; Li-Ping Liu 001; Thomas G. Dietterich (AAAI, 2011)

Machine learning for computational sustainability. - Thomas G. Dietterich; Ethan W. Dereszynski; Rebecca A. Hutchinson; Dan Sheldon (IGCC, 2012)

A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists. - Jun Yu; Rebecca A. Hutchinson; Weng-Keen Wong (AAAI, 2014)

Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise. - Rebecca A. Hutchinson; Liqiang He; Sarah C. Emerson (AAAI, 2017)

Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback. - Eugene Seo 001; Rebecca A. Hutchinson (AAAI, 2018)

StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. - Eugene Seo 001; Rebecca A. Hutchinson; Xiao Fu 001; Chelsea Li; Tyler A. Hallman; John Kilbride; W. Douglas Robinson (AAAI, 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 E. Kennedy (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks. - Xiao Fu 001; Eugene Seo 001; Justin Clarke; Rebecca A. Hutchinson (IEEE Trans. Knowl. Data Eng., 2021)

Under-Counted Tensor Completion with Neural Incorporation of Attributes. - Shahana Ibrahim; Xiao Fu 001; Rebecca A. Hutchinson; Eugene Seo 001 (ICML, 2023)

Cross-validation for Geospatial Data: Estimating Generalization Performance in Geostatistical Problems. - Jing Wang; Laurel M. Hopkins; Tyler A. Hallman; W. Douglas Robinson; Rebecca A. Hutchinson (Trans. Mach. Learn. Res., 2023)

Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models. - Nahian Ahmed; Mark Roth; Tyler A. Hallman; W. Douglas Robinson; Rebecca A. Hutchinson (AAAI, 2025)

Data Augmentation Approaches for Satellite Imagery. - Laurel M. Hopkins; Weng-Keen Wong; Hannah Kerner; Fuxin Li; Rebecca A. Hutchinson (AAAI, 2025)

Under-Counted Matrix Completion Without Detection Features. - Tri Nguyen; Shahana Ibrahim; Rebecca A. Hutchinson; Xiao Fu 001 (ICASSP, 2025)