Publications


  • [PDF] Deborah Weeks and Samuel Rivera (2021). “Domain Adaptation by Topology Regularization”, Proc. SPIE 11729, Automatic Target Recognition XXXI, 117290C (21 April 2021); https://doi.org/10.1117/12.2585705

  • [PDF] Benitez-Quiroz, C.F., Rivera, S., Gotardo, P., & Martinez, A. (2014). Salient and Non-Salient Fiducial Detection using a Probabilistic Graphical Model. Pattern Recognition, 47 (1), 208-215.

  • [PDF] Samuel Rivera and Aleix M. Martinez (2012). Learning Deformable Shape Manifolds. Pattern Recognition, 45 (4), 1792-1801.

  • [PDF] Rivera, S., Best, C., Yim, H., Martinez, A., Sloutsky, V., & Walther, D. (2012). Automatic selection of eye tracking variables in visual categorization for adults and infants. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 2240-2245). Austin, TX: Cognitive Science Society.

Journal Papers

  • Barnhart, W., Rivera, S., & Robinson, C.W. (2018). Effects of Linguistic Labels on Visual Attention in Children and Young Adults. Frontiers in Psychology, Mar. Vol. 9, Number 358.

  • Barnhart, W., Rivera, S., & Robinson, C.W. (2018). Different patterns of modality dominance across development. Acta Psychologica, Jan. 182, pp. 154-165.

  • Dunifon, C.M., Rivera, S., & Robinson C.W. (2016). Auditory stimuli automatically grab attention: Evidence from eye tracking and attentional manipulations. Journal of Experimental Psychology Human Perception & Performance, 42 (12), 1947-1958.

  • [PDF] Benitez-Quiroz, C.F., Rivera, S., Gotardo, P., & Martinez, A. (2014). Salient and Non-Salient Fiducial Detection using a Probabilistic Graphical Model. Pattern Recognition, 47 (1), 208-215.

  • [PDF] Samuel Rivera and Aleix M. Martinez (2012). Learning Deformable Shape Manifolds. Pattern Recognition, 45 (4), 1792-1801.

Conference Papers and Chapters

  • [PDF] Deborah Weeks and Samuel Rivera (2021). “Domain Adaptation by Topology Regularization”, Proc. SPIE 11729, Automatic Target Recognition XXXI, 117290C (21 April 2021); https://doi.org/10.1117/12.2585705

  • [PDF] Samuel Rivera, Joel Klipfel, and Deborah Weeks (2020). “Flexible deep transfer learning by separate feature embeddings and manifold alignment”, Proc. SPIE 11394, Automatic Target Recognition XXX, 113940O (24 April 2020); https://doi.org/10.1117/12.2557063

  • [PDF] Samuel Rivera, Olga Mendoza-Schrock, and Ashley Diehl (2019). “Transfer learning for aided target recognition: comparing deep learning to other machine learning approaches”, Proc. SPIE 10988, Automatic Target Recognition XXIX, 109880T (14 May 2019); https://doi.org/10.1117/12.2514753

  • [PDF] Rivera, S. & Sloutsky, V. (2016). Salience versus prior knowledge - how do children learn rules?. Proceedings of the 38th Annual Conference of the Cognitive Science Society.

  • Rivera, S. & Robinson, C.W. (2016). Learning in the wild - how labels influence what we learn. Proceedings of the 38th Annual Conference of the Cognitive Science Society.

  • Rivera, S., & Martinez, A. (2014). Precise Fiducial Detection. In S. Z. Li & A. K. Jain (Eds.), Encyclopedia of Biometrics (pp. 1–5). Springer US.

  • Rivera, S. & Sloutsky, V. (2015). Development of selective attention in category learning. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 2003-2008). Austin, TX: Cognitive Science Society.

  • Robinson, C.W., Barnhart, W, & Rivera, S. (2015). Auditory stimuli slow down responses and first fixations: Support for auditory dominance in adults. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 2009-2014). Austin, TX: Cognitive Science Society.

  • [PDF] Rivera, S., Best, C., Yim, H., Martinez, A., Sloutsky, V., & Walther, D. (2012). Automatic selection of eye tracking variables in visual categorization for adults and infants. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 2240-2245). Austin, TX: Cognitive Science Society.