| 2024 | AI | Consolidation using Multiple Task Learning with Context Inputs and Replay of CVAE Generated Pseudo-Examples. | Quan Ngo, Daniel L. Silver |
| 2023 | NeSy | The Roles of Symbols in Neural-based AI: They are Not What You Think! | Daniel L. Silver, Tom M. Mitchell |
| 2022 | FlAIRS | Vehicle Traffic Estimation Using Deep Learning. | Meetkumar Patel, Daniel L. Silver |
| 2021 | AI | The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions. | Tao Yang, Daniel L. Silver |
| 2021 | NeSy | Learning Arithmetic from Handwritten Images with the Aid of Symbols. | Daniel L. Silver, Ahmed Galila |
| 2020 | CVPR | Generating Accurate Pseudo Examples for Continual Learning. | Daniel L. Silver, Sazia Mahfuz |
| 2019 | AI | In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning. | Daniel L. Silver, Tanya Monga |
| 2017 | ESANN | Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. | Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin |
| 2017 | IJCNN | Improving point-based AIS trajectory classification with partition-wise gated recurrent units. | Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin |
| 2016 | AI | Fishing Activity Detection from AIS Data Using Autoencoders. | Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin |
| 2016 | FlAIRS | A Scalable Unsupervised Deep Multimodal Learning System. | Mohammed Shameer Iqbal, Daniel L. Silver |
| 2016 | NeSy | A Proposal for Common Dataset in Neural-Symbolic Reasoning Studies. | zgr Yilmaz, Artur S. d'Avila Garcez, Daniel L. Silver |
| 2015 | AI | Consolidation Using Sweep Task Rehearsal: Overcoming the Stability-Plasticity Problem. | Daniel L. Silver, Geoffrey Mason, Lubna Eljabu |
| 2015 | AI | Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture. | Ti Wang, Daniel L. Silver |
| 2012 | AI | Image Morphing: Transfer Learning between Tasks That Have Multiple Outputs. | Daniel L. Silver, Liangliang Tu |
| 2012 | SIGITE | CS/IT outreach from a Canadian perspective. | Daryl H. Hepting, Gerry Donaldson, Peter R. King, Daniel L. Silver |
| 2011 | AI | Consolidation Using Context-Sensitive Multiple Task Learning. | Benjamin Fowler, Daniel L. Silver |
| 2010 | FlAIRS | CsMTL MLP For WEKA: Neural Network Learning with Inductive Transfer. | Liangliang Tu, Benjamin Fowler, Daniel L. Silver |
| 2008 | AI | Image Transformation: Inductive Transfer between Multiple Tasks Having Multiple Outputs. | Daniel L. Silver, Liangliang Tu |
| 2007 | AINA | Interface Adaptation Based on User Expectation. | Xiaoyan Peng, Daniel L. Silver |
| 2007 | FlAIRS | Context-Sensitive MTL Networks for Machine Lifelong Learning. | Daniel L. Silver, Ryan Poirier |
| 2007 | IJCNN | Sequential Inductive Transfer for Coronary Artery Disease Diagnosis. | Daniel L. Silver, Robert E. Mercer |
| 2007 | IWINAC | Requirements for Machine Lifelong Learning. | Daniel L. Silver, Ryan Poirier |
| 2007 | SMC | Inductive transfer applied to stream discharge modeling. | Daniel L. Silver, Lisa Gaudette, Ian Spooner |
| 2006 | AAAI | Machine Life-Long Learning with csMTL Networks. | Daniel L. Silver, Ryan Poirier |
| 2005 | FlAIRS | A Measure of Relatedness for Selecting Consolidated Task Knowledge. | Daniel L. Silver, Richard Alisch |
| 2005 | IJCNN | Effect of curriculum on the consolidation of neural network task knowledge. | Ryan Poirier, Daniel L. Silver |
| 2005 | PST | Information Visualization for Intrusion Detection. | James Blustein, Daniel L. Silver, Ching-Lung Fu |
| 2004 | AI | Time-Sensitive Sampling for Spam Filtering. | Ching-Lung Fu, Daniel L. Silver |
| 2004 | AI | Sequential Consolidation of Learned Task Knowledge. | Daniel L. Silver, Ryan Poirier |
| 2003 | AI | Selective Transfer of Task Knowledge Using Stochastic Noise. | Daniel L. Silver, Peter McCracken |
| 2003 | ICMLA | The Consolidation of Neural Network Task Knowledge. | Daniel L. Silver, Peter McCracken |
| 2002 | AI | The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data. | Daniel L. Silver, Robert E. Mercer |
| 2002 | ICMLA | Life-long Learning through Task Rehersal and Selective Transfer. | Daniel L. Silver, Robert E. Mercer |
| 1994 | ICDE | X-500 Directory Schema Management. | Daniel L. Silver, James W. Hong, Michael A. Bauer |