Journals / Book Chapters:
Dror, G., Lemaire, V., Silver, D., Taylor, G. and Aha, D. Analysis of
the IJCNN 2011 UTL Challenge, Special Issue of Neural Networks,
Elsevier, Feb, 2012.
Silver, D. and Spooner, I. and Gaudette, L. 2009. Inductive
Transfer Applied to Modeling River Discharge in Nova Scotia, Atlantic
Geology: Journal of the Atlantic Geoscience Society, (45) 191–203.
Silver, D. and Poirier, R. and Currie, D. 2008. Inductive Transfer with
Context-Sensitive Neural Networks. Machine Learning - Special Issue on
Inductive Transfer, Springer, 73(3): 313-336.
Ma, Z. and Silver, D. and Shakshuki, E. 2005. Business Agent
Framework for User Profile Management in Enterprise Networks. Special
issue (Business Agents and the Semantic Web) The Journal of Business
and Technology, Oct, 2005, p.32-41.
Silver, D. The Knowledge
Management Cycle. 2003. Competitive Intelligence: A Framework for
Web-Based Analysis and Decision Making, Conor Vibert (Editor), Mason,
Ohio: Thomson South-Western, November, 2003, Chapter 11.
Silver, D. and Hurwitz, G.
1998. The predictive and explanatory power of inductive decision trees:
A comparison with artificial neural network learning as applied to the
non-invasive diagnosis of coronary artery disease. The 1998 Yearbook of
Medical Informatics, Schattaur, Germany, p.458-467. Originally
published in the Journal of Investigative Medicine, Feb 1996,
Refereed Conference Proceedings:
Machine Lifelong Learning: Challenges and Benefits for Artificial
General Intelligence, Advances in Artificial Intelligence, Fourth
Conference on Artificial General Intelligence, Mountain View,
California, USA, August, 2011, J.Schmidhuber, K.R.Thorisson and M.Looks
(Eds.), Springer, LNAI 6830, pp. 370-375.
Fowler, B. and Silver, D. 2011, Consolidation using Context-Sensitive
Multiple Task Learning, Advances in Artificial Intelligence, 24th
Conference of the Canadian Artificial Intelligence Association (AI
2011), St. John’s, Nfld, May, 2011, P. Lingras (Ed.), Springer,
LNAI 6657, pp. 128-139.
Martell, C. and Silver, D. and Trudel, A. M2Cal: An Intelligent
Interface Agent That Captures Calendar Events from Email, The
International Conference on Ambient Systems, Networks and Technologies,
November 8-10, 2010, Paris, France.
Tu, L. and Fowler B. and Silver, D. 2010. csMTL MLP for Weka: Neural
Network Learning with Inductive Transfer, Proceedings of the
Twenty-Third International FLAIRS Conference (FLAIRS-23), May, 2010,
Daytona Beach, FL, pp.128-133.
Silver, D and Tu, L. 2008. Image Transformation: Inductive Transfer
between Multiple Tasks having Multiple Outputs. Advances in
Artificial Intelligence, 21st Conference of the Canadian Society for
Computational Studies of Intelligence (AI 2008), London, Ontario, May,
2008, S. Bergler (Ed.), Springer, LNAI 5032, pp. 296–307.
Hussain, S. and Peters, R. and Silver, D. 2008. Using Received Signal
Strength Variation for Surveillance In Residential Areas, SPIE
Proceedings on Data Mining, Intrusion Detection, Information Assurance,
and Data Networks Security, Orlando, Florida,, Mar 17-18, 2008, Editor
Belur V. Dasarathy, vol. 6973, p. 6973OL.1-6.
Silver, D. and Gaudette, L. and Spooner, I. 2007. Inductive Transfer
Applied to Stream Discharge Modeling. Proceedings of the 2007 IEEE
International Conference on Systems, Man and Cybernetics, Montreal, Oct
Silver, D. and Mercer, R. 2007. The Sequential Transfer of Knowledge
for Coronary Artery Disease Diagnosis. Proceedings of the
International Joint Conference on Neural Networks (IJCNN-07), Orlando,
FA, August, 2007. IEEE Press, paper 1687. [Nominated for special
issue of Neural Networks, the official journal of the INNS.]
Peng, X. and Silver, D. 2007. Interface Adaptation based on User
Expectation. 2007 IEEE International Symposium on Ubiquitous
Computing and Intelligence (UCI-07) in Proceedings of the Advanced
Information Networking and Applications (AINA-07) Niagara Falls,
Canada, May 21-23, 2007. IEEE CS Press.
Silver, D. and MacDonald, R. 2007. Recommendations Based on Modeling
User Trajectories through a Web Space. 2007 IEEE International
Symposium on Data Mining and Information Retrieval (DMIR-07) in
Proceedings of the Advanced Information Networking and Applications
(AINA-07) Niagara Falls, Canada, May 21-23, 2007. IEEE CS Press.
Silver, D. and Poirier, R. 2007. Context-sensitive MTL Networks
for Machine Lifelong Learning, Proceedings of the 20th Florida
Artificial Intelligence Research Society Conference (FLAIRS’07), Key
West, Florida, May 7-9, 2007, AAAI Press.
Silver, D. and MacNeil, R. and Joyce, M. 2006. Application of
Data Mining to Health Economics Forecasting, Proceedings of the
Eleventh International Symposium on Health Information Management
Research (iSHIMR 2006), Halifax, Nova Scotia, July 14-16, 2006. p. 1-11.
Silver, D. and Biggs, A. 2006. Keystroke and Eye-Tracking Biometrics for User Identification
Proceedings of The International Conference on Artificial Intelligence
(ICAI'06), June 26 through 29, 2006, Las Vegas, Nevada, USA, p. 344-348.
O’Quinn, R. and Silver, D. and Poirier, R. 2005. Continued
Practice and Consolidation of a Learning Task. Proceedings of the
Meta-Learning Workshop, 22nd International Conference on Machine
Learning (ICML 2005), Bonn, Germany, 7-11 August, 2005, p. 60-67..
Fu, C-L. and Silver, D and Bluestein, J. 2005. Chronological Sampling
for Email Filtering. Proceedings of the Workshop on Machine
Learning for User Modeling: Challenges, 10th International Conference
on User Modeling (UM'2005), July 24-29, 2005.
Peng, X. and Silver, D. 2005. User Control over User Adaptation: A Case
Study. Proceeding s of the 10th International Conference on User
Modeling (UM’ 2005), Edinburgh, Scotland, July 24-29, 2005. Lecture
Notes in Computer Science, Springer, Vol 3538/2005, p. 443.
Silver, D. and Alisch, R. 2005. A Measure of Relatedness for Selecting
Consolidated Task Knowledge. Proceedings of the 18th Florida Artificial
Intelligence Research Society Conference (FLAIRS’05), May 16-18, 2005.
AAAI Press. p.399-404.
Silver, D and Poirier, R. 2004. The Sequential Consolidation of Learned
Task Knowledge. Advances in Artificial Intelligence, 17th
Conference of the Canadian Society for Computational Studies of
Intelligence (AI 2004), London, Ontario, May, 2004, Ahmed Y. Tawfik,
Scott D. Goodwin (Eds.). Lecture Notes in Artificial Intelligence,
Springer, Vol 3060/2004, p. 217-232.
Silver, D. and McCracken, P. 2003. The Consolidation of Neural Network
Task Knowledge. Proceedings of the International Conference on Machine
Learning and Applications ICLMA’03, Los Angles, June 23-24, 2003, ICMLA
Silver, D. and McCracken, P. 2003. Selective Transfer of Task Knowledge
Using Stochastic Noise, Advances in Artificial Intelligence, 16th
Conference of the Canadian Society for Computational Studies of
Intelligence (AI 2003), Halifax, Canada, June 11-13, 2003, Yang Xiang
and Brahim Chaib-draa (Eds.). Lecture Notes in Computer Science,
Springer-Verlag, 2003, p.190-205.
Silver, D. and
MacNeil, R. and Joyce, M. The Application of Artificial Neural Networks to
Health Economics Forecasting,
e-Health 2003 international conference, Toronto, May 24-27,
MacDonald, R. and
Silver, D. 2002. Web-based User Profiling Using a Recurrent Neural
Network. Proceedings of the IASTED International Conference on
Artificial Intelligence and Soft Computing (ASC2002), Banff, Alberta,
July, 2002, H. Leung (Ed.), ACTA Press, p.472-477.
Silver, D. and Shakshuki, E. 2002. Knowledge Management:
Integrating Perspectives. Proceedings of I-KNOW'02 the 2nd
International Conference on Knowledge Management, Graz, Austria, July
11-12, 2002, Kluas Tochtremann, Herman Mauer (Eds.). Special Issue of
J.UCS, 2002, p.254-259.
Silver, D. and Mercer, R. 2002. The Task Rehearsal Method of Life-Long
Learning: Overcoming Impoverished Data, Advances in Artificial
Intelligence, 15th Conference of the Canadian Society for Computational
Studies of Intelligence (AI 2002), Calgary, Canada, May 27-29, 2002,
Robin Cohen, Bruce Spencer (Eds.). Lecture Notes in Computer Science,
Springer-Verlag, 2002, 2338:90-101.
Silver, D. Inductive Transfer and
Lifelong Learning with Context-sensitive Neural Networks. Department of
Computer Science invited talk, Harbin Institute of Technology, Harbin
China, November 20, 2010.
Silver, D. Inductive Transfer and Lifelong Learning with
Context-sensitive Neural Networks. Text Analysis and Machine Learning
(TAMALE) invited talk, School of Information Technology and
Engineering, University of Ottawa, June 3, 2010.
Silver, D. Getting a Machine to Learn, University of
Electronic Science and Technology of China (UESTC), Zhongshan
Institute, Zhongshan, China, Nov 13, 2009.
Silver, D. Inductive Transfer and Lifelong Learning with Context
Sensitive Neural Networks, NRC Machine Learning and Data Mining
seminar & workshop, NRC Fredericton, June 7-8, 2007.
Silver, D. Data Mining: An Overview, iDLab Breakfast Series. Faculty of Engineering, Dalhousie University, May 26, 2006.
Silver, D. Life-long Learning: Selective Inductive Bias and Knowledge
Consolidation, Department of Psychology, McGill, May 21, 2004.
Silver, D. User Modeling, Identification and Adaptive Interfaces,
Quarterly meeting of the Ottawa Chapter of IEEE Computer Society, May
Silver, D. Knowledge Discovery and Data Mining: An Introduction.
Invited presentation, ITWorks!98, St.John, New Brunswick, May, 1998.
Silver, D. 1999,
Business Intelligence through Data Mining,
Canadian Information Processing Society, Invited Speaker, Halifax, Jan 27, 1999
Silver, D. Data Mining with
Artificial Neural Networks. Invited talk, Maritime Direct
Marketing Association Annual Conference, Halifax, May, 1998.
Silver, D. Knowledge Discovery and Data Mining: An
Introduction. Invited lecture, Lawson Research Institute, London
Health Sciences Centre, London, Ontario, April, 1998.