Paul Hollensen

11 papers B 2C 1Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Masked strategies for images with small objects. IJCNN Martin Gillis, Ming Hill, Paul Hollensen, Alan Fine, Thomas Trappenberg
2025	J	`jnl`	Masked strategies for images with small objects. CoRR Martin Gillis, Ming Hill, Paul Hollensen, Alan Fine, Thomas Trappenberg
2025	J	`jnl`	Platelet enumeration in dense aggregates. CoRR Martin Gillis, Yogeshwar Shendye, Paul Hollensen, Alan Fine, Thomas Trappenberg
2019	—	`conf`	Self-training for Cell Segmentation and Counting. Canadian AI Junliang Luo, Sageev Oore, Paul Hollensen, Alan Fine, Thomas Trappenberg
2017	B	`conf`	Impact of biased mislabeling on learning with deep networks. IJCNN Farzaneh Sheikhnezhad Fard, Paul Hollensen, Stuart McIlroy, Thomas Trappenberg
2015	J	`jnl`	A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO. Neural Networks Patrick C. Connor, Paul Hollensen, Olav E. Krigolson, Thomas Trappenberg
2015	—	`conf`	Classifier with Hierarchical Topographical Maps as Internal Representation. ICLR (Workshop) Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg
2015	J	`jnl`	Learning-Regulated Context Relevant Topographical Map. IEEE Trans. Neural Networks Learn. Syst. Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg
2015	J	`jnl`	Modeling human target reaching with an adaptive observer implemented with dynamic neural fields. Neural Networks Farzaneh Sheikhnezhad Fard, Paul Hollensen, Dietmar Heinke, Thomas Trappenberg
2014	C	`conf`	Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. ICANN Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg
2011	—	`conf`	Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images. Canadian AI Paul Hollensen, Warren A. Connors, Thomas Trappenberg