Daniel L. Silver

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 21

Top Topics

Image Classification

Computational Neuroscience

Recurrent Neural Networks

Top Venues

Canadian Conference on AI

AAAI Spring Symposium: Lifelong Machine Learning

Publications

Daniel L. Silver, Rinda Digamarthi
Forecasting COVID-19 Case Counts Based on 2020 Ontario Data. CoRR (2023)
Daniel L. Silver, Tom M. Mitchell
The Roles of Symbols in Neural-based AI: They are Not What You Think! NeSy (2023)
Daniel L. Silver, Tom M. Mitchell
The Roles of Symbols in Neural-based AI: They are Not What You Think! CoRR (2023)
Meetkumar Patel, Daniel L. Silver
Vehicle Traffic Estimation Using Deep Learning. FLAIRS (2022)
Tao Yang, Daniel L. Silver
The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions. Canadian Conference on AI (2021)
Daniel L. Silver, Ahmed Galila
Learning Arithmetic from Handwritten Images with the Aid of Symbols. NeSy (2021)
Daniel L. Silver, Jabun Nasa
Estimating Grape Yield on the Vine from Multiple Images. CoRR (2020)
Daniel L. Silver, Sazia Mahfuz
Generating Accurate Pseudo Examples for Continual Learning. CVPR Workshops (2020)
Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang
AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR (2019)
Daniel L. Silver, Tanya Monga
In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning. Canadian Conference on AI (2019)
Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks. CoRR (2017)
Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin
Improving point-based AIS trajectory classification with partition-wise gated recurrent units. IJCNN (2017)
Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. ESANN (2017)
Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks. CASCON (2017)
Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin
Fishing Activity Detection from AIS Data Using Autoencoders. Canadian Conference on AI (2016)
Mohammed Shameer Iqbal, Daniel L. Silver
A Scalable Unsupervised Deep Multimodal Learning System. FLAIRS Conference (2016)
Özgür Yilmaz, Artur S. d'Avila Garcez, Daniel L. Silver
A Proposal for Common Dataset in Neural-Symbolic Reasoning Studies. NeSy@HLAI (2016)
Daniel L. Silver, Geoffrey Mason, Lubna Eljabu
Consolidation Using Sweep Task Rehearsal: Overcoming the Stability-Plasticity Problem. Canadian Conference on AI (2015)
Artur S. d'Avila Garcez, Tarek R. Besold, Luc De Raedt, Peter Földiák, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luís C. Lamb, Risto Miikkulainen, Daniel L. Silver
Neural-Symbolic Learning and Reasoning: Contributions and Challenges. AAAI Spring Symposia (2015)
Ti Wang, Daniel L. Silver
Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture. Canadian Conference on AI (2015)
Jane E. Gomes, Daniel L. Silver
Learning to reason in a Probably Approximately Correct manner. CCECE (2015)
Daniel L. Silver, Qiang Yang, Lianghao Li
Lifelong Machine Learning Systems: Beyond Learning Algorithms. AAAI Spring Symposium: Lifelong Machine Learning (2013)
Daniel L. Silver
The Consolidation of Task Knowledge for Lifelong Machine Learning. AAAI Spring Symposium: Lifelong Machine Learning (2013)
Ti Wang, Mohammed Shameer Iqbal, Daniel L. Silver
An Unsupervised Deep-Learning Architecture That Can Reconstruct Paired Images. RSFDGrC (2013)
Ti Wang, Daniel L. Silver
Learning Paired-associate Images with An Unsupervised Deep Learning Architecture. CoRR (2013)
Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha
Analysis of the IJCNN 2011 UTL challenge. Neural Networks 32 (2012)
Daniel L. Silver, Liangliang Tu
Image Morphing: Transfer Learning between Tasks That Have Multiple Outputs. Canadian Conference on AI (2012)
Daniel L. Silver, Isabelle Guyon, Graham W. Taylor, Gideon Dror, Vincent Lemaire
ICML2011 Unsupervised and Transfer Learning Workshop. ICML Unsupervised and Transfer Learning (2012)
Daryl H. Hepting, Gerry Donaldson, Peter R. King, Daniel L. Silver
CS/IT outreach from a Canadian perspective. SIGITE Conference (2012)
Daniel L. Silver
Machine Lifelong Learning: Challenges and Benefits for Artificial General Intelligence. AGI (2011)
Benjamin Fowler, Daniel L. Silver
Consolidation Using Context-Sensitive Multiple Task Learning. Canadian Conference on AI (2011)
Liangliang Tu, Benjamin Fowler, Daniel L. Silver
CsMTL MLP For WEKA: Neural Network Learning with Inductive Transfer. FLAIRS Conference (2010)
Zhongxu Ma, Daniel L. Silver, Elhadi M. Shakshuki
User profile management: reference model and web services implementation. Int. J. Web Grid Serv. 6 (1) (2010)
Daniel L. Silver, Liangliang Tu
Image Transformation: Inductive Transfer between Multiple Tasks Having Multiple Outputs. Canadian Conference on AI (2008)
Daniel L. Silver, Kristin P. Bennett
Guest editor's introduction: special issue on inductive transfer learning. Mach. Learn. 73 (3) (2008)
Daniel L. Silver, Ryan Poirier, Duane Currie
Inductive transfer with context-sensitive neural networks. Mach. Learn. 73 (3) (2008)
Sajid Hussain, Richard Peters, Daniel L. Silver
Using received signal strength variation for surveillance in residential areas. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2008)
Elhadi M. Shakshuki, Hsiang-Hwa Koo, Darcy G. Benoit, Daniel L. Silver
A distributed multi-agent meeting scheduler. J. Comput. Syst. Sci. 74 (2) (2008)
Daniel L. Silver, Ryan Poirier
Requirements for Machine Lifelong Learning. IWINAC (1) (2007)
F. Hu, Daniel L. Silver, André Trudel
LonelyDog@Home. Web Intelligence/IAT Workshops (2007)
Daniel L. Silver, Lisa Gaudette, Ian Spooner
Inductive transfer applied to stream discharge modeling. SMC (2007)
Daniel L. Silver, Robert E. Mercer
Sequential Inductive Transfer for Coronary Artery Disease Diagnosis. IJCNN (2007)
Xiaoyan Peng, Daniel L. Silver
Interface Adaptation Based on User Expectation. AINA Workshops (2) (2007)
André Trudel, Daniel L. Silver
A Guide for Establishing and Managing a Computer Science Industrial Advisory Board. FECS (2007)
Daniel L. Silver, Ryan Poirier
Context-Sensitive MTL Networks for Machine Lifelong Learning. FLAIRS Conference (2007)
Daniel L. Silver, Adam Biggs
Keystroke and Eye-Tracking Biometrics for User Identification. IC-AI (2006)
Daniel L. Silver, Ryan Poirier
Machine Life-Long Learning with csMTL Networks. AAAI (2006)
Daniel L. Silver, Richard Alisch
A Measure of Relatedness for Selecting Consolidated Task Knowledge. FLAIRS Conference (2005)
André Trudel, Daniel L. Silver
Establishing and Managing a Computer Science Industrial Advisory Board. FECS (2005)
Xiaoyan Peng, Daniel L. Silver
User Control over User Adaptation: A Case Study. User Modeling (2005)
James Blustein, Ching-Lung Fu, Daniel L. Silver
Information visualization for an intrusion detection system. Hypertext (2005)
James Blustein, Daniel L. Silver, Ching-Lung Fu
Information Visualization for Intrusion Detection. PST (2005)
Ching-Lung Fu, Daniel L. Silver
Time-Sensitive Sampling for Spam Filtering. Canadian Conference on AI (2004)
Daniel L. Silver, Ryan Poirier
Sequential Consolidation of Learned Task Knowledge. Canadian Conference on AI (2004)
Daniel L. Silver, Peter McCracken
The Consolidation of Neural Network Task Knowledge. ICMLA (2003)
Daniel L. Silver, Peter McCracken
Selective Transfer of Task Knowledge Using Stochastic Noise. Canadian Conference on AI (2003)
Daniel L. Silver, Robert E. Mercer
Life-long Learning through Task Rehersal and Selective Transfer. ICMLA (2002)
Daniel L. Silver, Robert E. Mercer
The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data. Canadian Conference on AI (2002)
Daniel L. Silver
The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness. Connect. Sci. 8 (2) (1996)
Daniel L. Silver, James W. Hong, Michael A. Bauer
X-500 Directory Schema Management. ICDE (1994)