Paul Hollensen

Publication Activity (10 Years)

Years Active: 2011-2019
Publications (10 Years): 2

Top Topics

Hierarchical Representation

Cell Segmentation

Minimax Probability Machine

Feature Selection

Top Venues

Neural Networks

Canadian Conference on AI

IEEE Trans. Neural Networks Learn. Syst.

ICLR (Workshop)

Publications

Junliang Luo, Sageev Oore, Paul Hollensen, Alan Fine, Thomas P. Trappenberg
Self-training for Cell Segmentation and Counting. Canadian Conference on AI (2019)
Farzaneh Sheikhnezhad Fard, Paul Hollensen, Stuart McIlroy, Thomas P. Trappenberg
Impact of biased mislabeling on learning with deep networks. IJCNN (2017)
Pitoyo Hartono, Paul Hollensen, Thomas P. Trappenberg
Classifier with Hierarchical Topographical Maps as Internal Representation. ICLR (Workshop) (2015)
Farzaneh Sheikhnezhad Fard, Paul Hollensen, Dietmar Heinke, Thomas P. Trappenberg
Modeling human target reaching with an adaptive observer implemented with dynamic neural fields. Neural Networks 72 (2015)
Patrick C. Connor, Paul Hollensen, Olav E. Krigolson, Thomas P. Trappenberg
A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO. Neural Networks 67 (2015)
Pitoyo Hartono, Paul Hollensen, Thomas P. Trappenberg
Learning-Regulated Context Relevant Topographical Map. IEEE Trans. Neural Networks Learn. Syst. 26 (10) (2015)
Pitoyo Hartono, Paul Hollensen, Thomas P. Trappenberg
Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. ICANN (2014)
Paul Hollensen, Warren A. Connors, Thomas P. Trappenberg
Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images. Canadian Conference on AI (2011)