Recent Journal Articles                       **Access full papers at my ResearchGate page**

Silver, D., Guyon, I., Taylor, G., Dror, G., Lemaire, V. 2012. Introduction - ICML2011 Unsupervised and Transfer Learning Workshop, JMLR Workshops and Conference Proceedings, Elsevier, 27:1-16, June, 2012.

Guyon, I., Dror, G., Lemaire, V., Silver, D., Taylor, G. and Aha, D. 2001. Analysis of the IJCNN 2011 UTL Challenge, Special Issue of Neural Networks, Elsevier, Feb, 2012.

Ma, Z., Silver, D. and Shakshuki, E. 2010. User Profile Management: Reference Model and Web Services Implementation, International Journal of Web and Grid Services (IJWGS), 6(1), p.1-34.

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.

Silver, D. and Bennett, K.  2008.  Guest Editorial: Inductive Transfer Learning, Machine Learning - Special Issue on Inductive Transfer, Springer, 73(3): 215-220.

Shakshuki, E., Koo, H, Benoit, D., Silver, D. 2007, A Distributed Multi-agent Meeting Scheduler, J. of Computer and System Sciences (JCSS), 74(2):279-29.

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.

Books

Silver D., Guyon I., Dror G., Lemaire V.,and Taylor G. (editors). 2013. Unsupervised and Transfer Learning (UTL), Challenges in Machine Learning, Volume 7
, Microtome Publishing, Mass, USA, ISBN-13: 978-0-9719777-7-8.

Recent Published Proceedings of Refereed Conferences

Silver, D. and Mason, G. and Eljabu, L. 2015, Consolidation using Sweep Task Rehearsal: Overcoming the Stability-Plasticity Problem. Advances in Artificial Intelligence, 28th Conference of the Canadian Artificial Intelligence Association (AI 2015), Evanglos Milios and Denilson Barbosa (Ed.) , Halifax, NS, June, 2015, Springer, LNAI 9091, pp 307-324.

Wang.T and Silver,D. 2015, Learning Paired-associate Images with An Unsupervised Deep Learning Architecture. Advances in Artificial Intelligence, 28th Conference of the Canadian Artificial Intelligence Association (AI 2015), Halifax, NS, June, 2015, Evanglos Milios and Denilson Barbosa (Ed.), Springer, LNAI 9091, pp 250-263.

Gomes, J. and Silver,D. 2015, Learning to Reason in A Probably Approximately Correct Manner. Proceeding of the IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE 2014), Halifax, NS, May 2015, IEEE Press, pp. 1475-8.

Artur D 'avila Garcez, Tarek R Besold, Luc De Raedt, Peter Földiak, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luis C Lamb, Risto Miikkulainen, Daniel L Silver. Neural-Symbolic Learning and Reasoning: Contributions and Challenges. Proceedings of the AAAI Spring Symposium on Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches, Stanford University, Palo Alto, CA, AAAI, March, 2015, in press.

Wang, T. Iqbal, M.S., Silver, D. An Unsupervised Deep-Learning Architecture that Can Reconstruct Paired Images. Proceedings of the Joint Rough Set Symposium (JRS 2013) , Halifax, Oct 11-4, 2013, LNCS 8170, pp 388-396.

Silver, D. The Consolidation of Task Knowledge for Lifelong Machine Learning. Proceedings of the AAAI Spring Symposium on Lifelong Machine Learning, , Stanford University, CA, AAAI, March, 2013, pp 46–48.

Silver, D. Yang, Q. and Li, L. Lifelong machine learning systems: Beyond learning algorithms. Proceedings of the AAAI Spring Symposium on Lifelong Machine Learning , Stanford University, CA, AAAI, March, 2013, pp 49–55.

Silver, D. and Tu, L. Image Morphing: Transfer Learning between Tasks that have Multiple Outputs. Advances in Artificial Intelligence, 25th Conference of the Canadian Artificial Intelligence Association (AI 2012), Toronto, ON, May, 2012, Leila Kosseim and Diana Inkpen (Ed.), Springer, LNAI 7310, pp. 194-205.

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, submitted to 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.

Hu, F. and Silver, D. and Trudel, A. 2007. LonelyDog@home. 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology – WI-IAT Workshop, Nov 2-5, 2007, Silicon Valley, pp. 333-337.

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.]

Silver, D. and Poirier, R. 2007. Requirements for Machine Lifelong Learning, 2nd International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC 2007) in Springer Lecture Notes on Computer Science Series Vol. 4527 (in press, Murcia, Spain, June 18-21, 2007

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, in 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, in press.

Trudel, A. and Silver, D. 2007. A guide for establishing and managing a computer science industrial advisory board, Proceedings of the 2007 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FEC2007), Las Vegas, Nevada, USA, June 25-28, 2007, in 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, in press.

Silver, D. and MacNeil, R. and Joyce, M. 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. Keystroke and Eye-Tracking Biometrics for User Identification, The International Conference on Artificial Intelligence (ICAI'06), June 26 through 29, 2006, Las Vegas, Nevada, USA, p. 344-348.

Blustein, J. and Silver, D. and Fu, C-L. 2005. Information Visualization for Intrusion Detection, Proceedings of the  Third Annual Conference on Privacy, Security and Trust (PST’05), St. Andrews, New Brunswick, October 12-14, 2005. IEEE Transactions, p. 63-70.

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.

Poirier, R. and Silver, D. 2005. Effect of Curriculum on the Consolidation of Neural Network Task Knowledge. Proc. of IEEE International Joint Conf. on Neural Networks (IJCNN 05),  Montréal, July 31-August 4, 2005, IEEE Transactions on Neural Networks (in press).

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.

D. Silver, and A. Trudel. 2005, Establishing and Managing a Computer Science Industrial Advisory Board. The 2005 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'05), June 20-23, Las Vegas, USA.

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, p. 217-232.

Fu, C-L. and Silver, D. 2004.  Time-Sensitive Sampling for Spam Filtering.  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-Verlag, p.551-553

Ma, Z., Silver, D. and Shakshuki, E. 2003. User Profile Framework for Agent-based Grid Computing. Proceedings of the Knowledge Grid and Grid Intelligence Workshop. In conjunction with 2003 IEEE/WIC International Conference on Web Intelligence / Intelligent Agent Technology, October 13-16, 2003, Halifax, Canada, p.82-91.

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.

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.

Shakshuki, E. and Silver, D.  2002. Agent-Oriented System Architecture for Knowledge Management . Proceedings of the International Conference on Information and Knowledge Engineering IKE’02, Los Vegas, June 24-27, 2002, Hamid R. Arabnia, Youngsong Mun, Bhanu Prasad (Eds.), CSREA Press, p.229-233.

Silver, D. and Mercer, R. 2002. Life-long Learning through Task Rehearsal and Selective Transfer. Proceedings of the International Conference on Machine Learning and Applications ICLMA’02, Los Vegas, June 24-27, 2002, Hamid R. Arabnia, Youngsong Mun, Bhanu Prasad (Eds.), CSREA Press, 2002, p.173-179.

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. and Mercer, R. 2001. The Task Rehearsal Method of Sequential Learning, Proceedings of  International Meeting of Psychometric Society (IMPS-2001), Osaka, Japan, July, 2001.

Silver, D. and Mercer, R. 2001. Selective Functional Transfer: Inductive Bias from Related Tasks.  Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing (ASC2001), Cancun, Mexico, May, 2001, M.H. Hamza (Ed.), ACTA Press, p.182-189.

Theses and Technical Reports

Patrick Drane and Daniel L. Silver, 2010. Inductive Transfer Applied to Ground Water Levels, Technical Report for a National Research Council project and Technical Report TR-2010-001, Acadia University, February, 2010.

Liangliang Tu, Ben Fowler, and Daniel L. Silver, 2009, csMTL MLP for Weka: Neural Network Learning with Inductive Transfer, Jodrey School of Computer Science Technical Report, TR-2009-001, Acadia University, April, 2009.

Silver, D. and Poirier, R. 2005. Requirements for Machine Lifelong Learning. JSOCS Technical Report TR-2005-009, Acadia University, November, 2005.

Fu, C-L. and Blustein, J. and Silver, D. 2005.  Information Visualization for an Intrusion Detection System. Dalhousie Faculty of Computer Science Technical Report TR-CS-2005-10, August 10, 2005.

Silver, D. and Trudel, A. 2005. Establishing and Managing a Computer Science Industrial Advisory Board. JSOCS Technical Report #TBA, Acadia University, April, 2005.

Silver, D.  2000. Selective Transfer of Neural Network Task Knowledge (PostScript) or (PDF), Ph.D. Thesis, University of Western Ontario.

Silver, D. and Mercer, R. 1998. The Task Rehearsal Method of Sequential Learning (zipped). Technical Report #517, Department of Computer Science, University of Western Ontario.

Silver, D. and Mercer, R. and Hurwitz, G. 1997. The Functional Transfer of Knowledge for Coronary Artery Disease Diagnosis.  Technical Report #513, Department of Computer Science, University of Western Ontario.

Chapters in Books

Silver, D. and Mercer, R. 2009. Life-long Learning Through Task Rehearsal and Selective Knowledge Transfer. Theory and Novel Applications of Machine Learning, Editor: Meng Joo Er and Yi Zhou, IN-Tech Education and Pub.

Silver, D.  and Poirier, R. 2007. Requirements for Machine Lifelong Learning. Meta-learning in Computational Intelligence, Editors: Włodzisław Duch, Krzysztof Grąbczewski, Norbert Jankowski. Springer Verlag, Series: Studies in Computational Intelligence, in press. *

Silver, D. The Knowledge Management Cycle. 2003. Working the Web in Competitive Intelligence: Analytic Frameworks for Management Action Strategies, Conor Vibert (Editor), Mason, Ohio: Southwest Thomson, November, 2003, Chapter 11.

Silver, D. and Mercer, R. 1998. The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness.  Learning to Learn,  Sebsatian Thrun and Lorian Pratt (Editors), Kluwer Academic Publishers, Boston, p.213-233.