Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images. - Paul Hollensen; Warren A. Connors; Thomas Trappenberg (Canadian AI, 2011)

Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. - Pitoyo Hartono; Paul Hollensen; Thomas Trappenberg (ICANN, 2014)

Classifier with Hierarchical Topographical Maps as Internal Representation. - Pitoyo Hartono; Paul Hollensen; Thomas Trappenberg (ICLR (Workshop), 2015)

A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO. - Patrick C. Connor; Paul Hollensen; Olav E. Krigolson; Thomas Trappenberg (Neural Networks, 2015)

Modeling human target reaching with an adaptive observer implemented with dynamic neural fields. - Farzaneh Sheikhnezhad Fard; Paul Hollensen; Dietmar Heinke; Thomas Trappenberg (Neural Networks, 2015)

Learning-Regulated Context Relevant Topographical Map. - Pitoyo Hartono; Paul Hollensen; Thomas Trappenberg (IEEE Trans. Neural Networks Learn. Syst., 2015)

Impact of biased mislabeling on learning with deep networks. - Farzaneh Sheikhnezhad Fard; Paul Hollensen; Stuart McIlroy; Thomas Trappenberg (IJCNN, 2017)

Self-training for Cell Segmentation and Counting. - Junliang Luo; Sageev Oore; Paul Hollensen; Alan Fine; Thomas Trappenberg (Canadian AI, 2019)

Masked strategies for images with small objects. - Martin Gillis; Ming Hill; Paul Hollensen; Alan Fine; Thomas Trappenberg (CoRR, 2025)

Platelet enumeration in dense aggregates. - Martin Gillis; Yogeshwar Shendye; Paul Hollensen; Alan Fine; Thomas Trappenberg (CoRR, 2025)