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Publication search results
found 8 matches
- 2019
- Junliang Luo, Sageev Oore, Paul Hollensen, Alan Fine, Thomas Trappenberg:
Self-training for Cell Segmentation and Counting. Canadian AI 2019: 406-412 - 2017
- Farzaneh Sheikhnezhad Fard, Paul Hollensen, Stuart McIlroy, Thomas Trappenberg:
Impact of biased mislabeling on learning with deep networks. IJCNN 2017: 2652-2657 - 2015
- Patrick C. Connor, Paul Hollensen, Olav E. Krigolson, Thomas Trappenberg:
A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO. Neural Networks 67: 121-130 (2015) - Farzaneh Sheikhnezhad Fard, Paul Hollensen, Dietmar Heinke, Thomas Trappenberg:
Modeling human target reaching with an adaptive observer implemented with dynamic neural fields. Neural Networks 72: 13-30 (2015) - Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg:
Learning-Regulated Context Relevant Topographical Map. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2323-2335 (2015) - Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg:
Classifier with Hierarchical Topographical Maps as Internal Representation. ICLR (Workshop) 2015 - 2014
- Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg:
Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. ICANN 2014: 339-346 - 2011
- Paul Hollensen, Warren A. Connors, Thomas Trappenberg:
Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images. Canadian AI 2011: 174-185
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