| 2025 | IJCNN | Masked strategies for images with small objects. | Martin Gillis, Ming Hill, Paul Hollensen, Alan Fine, Thomas Trappenberg |
| 2025 | IJCNN | Position paper: Foundation models are not the brain. | Thomas Trappenberg |
| 2024 | IJCNN | Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery. | Isaac Xu, Benjamin Misiuk, Scott C. Lowe, Martin Gillis, Thomas Trappenberg, Craig J. Brown |
| 2020 | CVPR | On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. | Andr G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg, Sageev Oore, Renato A. Krohling |
| 2020 | IJCNN | Learning dynamic weights for an ensemble of deep models applied to medical imaging classification. | Andr G. C. Pacheco, Thomas Trappenberg, Renato A. Krohling |
| 2019 | AI | Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images. | Abder-Rahman Ali, Jingpeng Li, Thomas Trappenberg |
| 2019 | AI | Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples. | Yoshimasa Kubo, Thomas Trappenberg |
| 2019 | AI | Self-training for Cell Segmentation and Counting. | Junliang Luo, Sageev Oore, Paul Hollensen, Alan Fine, Thomas Trappenberg |
| 2019 | AI | Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study. | Francesco Usai, Thomas Trappenberg |
| 2019 | IJCNN | A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images. | Abder-Rahman Ali, Jingpeng Li, Sally Jane O'Shea, Guang Yang, Thomas Trappenberg, Xujiong Ye |
| 2019 | IJCNN | Learning Adaptive Weight Masking for Adversarial Examples. | Yoshimasa Kubo, Michael Traynor, Thomas Trappenberg, Sageev Oore |
| 2018 | IJCNN | Mixing Habits and Planning for Multi-Step Target Reaching Using Arbitrated Predictive Actor-Critic. | Farzaneh Sheikhnezhad Fard, Thomas Trappenberg |
| 2018 | IJCNN | Words Are Not Temporal Sequences of Characters. | Michael Traynor, Thomas Trappenberg |
| 2017 | IJCNN | Impact of biased mislabeling on learning with deep networks. | Farzaneh Sheikhnezhad Fard, Paul Hollensen, Stuart McIlroy, Thomas Trappenberg |
| 2017 | IJCNN | In vivo classification of inflammation in blood vessels with convolutional neural networks. | Stuart McIlroy, Yoshimasa Kubo, Thomas Trappenberg, James Toguri, Christian Lehmann |
| 2016 | KI | A Neural Field Approach to Obstacle Avoidance. | Chun Kwang Tan, Paul G. Plger, Thomas Trappenberg |
| 2014 | ICANN | Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. | Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg |
| 2013 | IJCNN | Biologically plausible feature selection through relative correlation. | Patrick C. Connor, Thomas Trappenberg |
| 2013 | IJCNN | Classificability-regulated self-organizing map using restricted RBF. | Pitoyo Hartono, Thomas Trappenberg |
| 2013 | IJCNN | Bubbles in the robot. | Thomas Trappenberg |
| 2011 | AI | Characterizing a Brain-Based Value-Function Approximator. | Patrick C. Connor, Thomas Trappenberg |
| 2011 | AI | Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images. | Paul Hollensen, Warren A. Connors, Thomas Trappenberg |
| 2011 | SMC | Internal topographical structure in training autonomous robot. | Pitoyo Hartono, Thomas Trappenberg |
| 2010 | AI | Detection of Mine-Like Objects Using Restricted Boltzmann Machines. | Warren A. Connors, Patrick C. Connor, Thomas Trappenberg |
| 2010 | AI | Overlap versus Imbalance. | Misha Denil, Thomas Trappenberg |
| 2010 | IJCNN | Selective attention improves self-organization of cortical maps with multiple inputs. | Thomas Trappenberg, Aya Saito, Pitoyo Hartono |
| 2009 | SMC | Learning Intialized by Topologically Correct Representation. | Pitoyo Hartono, Thomas Trappenberg |
| 2007 | IJCNN | The Trouble with Weight-Dependent STDP. | Dominic I. Standage, Thomas Trappenberg |
| 2006 | IJCNN | A Heuristic for Free Parameter Optimization with Support Vector Machines. | Matthew Boardman, Thomas Trappenberg |
| 2005 | ESANN | A multi-modular associator network for simple temporal sequence learning and generation. | Michael Lawrence, Thomas Trappenberg, Alan Fine |
| 2005 | ESANN | Coverage-performance estimation for classification with ambiguous data. | Thomas Trappenberg |
| 2005 | IJCNN | Motivational modulation of endogenous inputs to the superior colliculus. | Jason Satel, Thomas Trappenberg, Raymond M. Klein |
| 2005 | IJCNN | Differences in the subthreshold dynamics of leaky integrate-and-fire and Hodgkin-Huxley neuron models. | Dominic I. Standage, Thomas Trappenberg |
| 2005 | IJCNN | A continuous attractor neural network model of divided visual attention. | Dominic I. Standage, Thomas Trappenberg, Raymond M. Klein |
| 2000 | IJCNN | A Classification Scheme for Applications with Ambiguous Data. | Thomas Trappenberg, Andrew D. Back |
| 1999 | IJCNN | Input variable selection using independent component analysis. | Andrew D. Back, Thomas Trappenberg |
| 1999 | IJCNN | Modeling time-varying processes by unfolding the time domain. | Lars Kindermann, Thomas Trappenberg |
| 1998 | ICONIP | Dynamic Cooperation and Competition in a Network of Spiking Neurons. | Thomas Trappenberg |