Journals / Book Chapters:

Guyon, I., 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, 45(2):99-108.

Refereed Conference Proceedings:

Silver,D. 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 7-10, 2007.

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. http://www-connex.lip6.fr/~artieres/UM2005/Proceedings.pdf.

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 Proceedings, p.185-192.

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, 2003.

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.


Invited Talk:

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 23, 2002.

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.