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Samuel Rivera
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2020 – today
- 2021
- [i3]Deborah Weeks, Samuel Rivera:
Domain Adaptation by Topology Regularization. CoRR abs/2101.12102 (2021) - 2020
- [i2]Samuel Rivera, Olga Mendoza-Schrock, Ashley Diehl:
Transfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches. CoRR abs/2011.12762 (2020) - [i1]Samuel Rivera, Joel Klipfel
, Deborah Weeks:
Flexible deep transfer learning by separate feature embeddings and manifold alignment. CoRR abs/2012.12302 (2020)
2010 – 2019
- 2016
- [c5]Samuel Rivera, Christopher W. Robinson:
Learning in the wild - how labels influence what we learn. CogSci 2016 - [c4]Samuel Rivera, Vladimir M. Sloutsky:
Salience versus prior knowledge - how do children learn rules? CogSci 2016 - 2015
- [c3]Samuel Rivera, Vladimir M. Sloutsky:
Development of selective attention in category learning. CogSci 2015 - [c2]Christopher W. Robinson, Wesley Barnhart, Samuel Rivera:
Auditory Stimuli Slow Down Responses and First Fixations: Support for Auditory Dominance in Adults. CogSci 2015 - [r1]Samuel Rivera
Precise Fiducial Detection. Encyclopedia of Biometrics 2015: 1268-1271 - 2014
- [j2]Carlos F. Benitez-Quiroz, Samuel Rivera, Paulo F. U. Gotardo, Aleix M. Martínez:
Salient and non-salient fiducial detection using a probabilistic graphical model. Pattern Recognit. 47(1): 208-215 (2014) - 2012
- [j1]Samuel Rivera
Learning deformable shape manifolds. Pattern Recognit. 45(4): 1792-1801 (2012) - [c1]Samuel Rivera, Catherine A. Best, Hyungwook Yim, Aleix M. Martínez, Vladimir M. Sloutsky, Dirk B. Walther:
Automatic selection of eye tracking variables in visual categorization for adults and infants. CogSci 2012
Coauthor Index
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