| 2009 |
|---|
| 103 | | Stan Matwin:
Privacy and Data Mining: New Developments and Challenges.
EGC 2009: 1 |
| 2008 |
|---|
| 102 | | Aijun An,
Stan Matwin,
Zbigniew W. Ras,
Dominik Slezak:
Foundations of Intelligent Systems, 17th International Symposium, ISMIS 2008, Toronto, Canada, May 20-23, 2008, Proceedings
Springer 2008 |
| 101 | EE | Jin Huang,
Charles X. Ling,
Harry Zhang,
Stan Matwin:
Proper Model Selection with Significance Test.
ECML/PKDD (1) 2008: 536-547 |
| 100 | EE | Jiang Su,
Harry Zhang,
Charles X. Ling,
Stan Matwin:
Discriminative parameter learning for Bayesian networks.
ICML 2008: 1016-1023 |
| 99 | EE | Sylvain Létourneau,
Stan Matwin,
A. Fazel Famili:
Generation of Globally Relevant Continuous Features for Classification.
PAKDD 2008: 196-208 |
| 98 | EE | Justin Z. Zhan,
LiWu Chang,
Stan Matwin:
How to Prevent Private Data from being Disclosed to a Malicious Attacker.
Data Mining: Foundations and Practice 2008: 517-528 |
| 97 | EE | Justin Z. Zhan,
Stan Matwin,
LiWu Chang:
Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data.
Data Mining: Foundations and Practice 2008: 529-538 |
| 2007 |
|---|
| 96 | | Joost N. Kok,
Jacek Koronacki,
Ramon López de Mántaras,
Stan Matwin,
Dunja Mladenic,
Andrzej Skowron:
Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings
Springer 2007 |
| 95 | | Joost N. Kok,
Jacek Koronacki,
Ramon López de Mántaras,
Stan Matwin,
Dunja Mladenic,
Andrzej Skowron:
Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings
Springer 2007 |
| 94 | EE | Venanzio Capretta,
Bernard Stepien,
Amy P. Felty,
Stan Matwin:
Formal correctness of conflict detection for firewalls.
FMSE 2007: 22-30 |
| 93 | EE | Dympna O'Sullivan,
Ken Farion,
Stan Matwin,
Wojtek Michalowski,
Szymon Wilk:
A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care.
K4CARE 2007: 117-126 |
| 92 | EE | Dympna O'Sullivan,
William Elazmeh,
Szymon Wilk,
Ken Farion,
Stan Matwin,
Wojtek Michalowski,
Morvarid Sehatkar:
Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data.
MCD 2007: 238-251 |
| 91 | EE | Justin Z. Zhan,
Stan Matwin,
LiWu Chang:
Privacy-preserving multi-party decision tree induction.
IJBIDM 2(2): 197-212 (2007) |
| 90 | EE | Justin Z. Zhan,
Stan Matwin:
Privacy-preserving support vector machine classification.
IJIIDS 1(3/4): 356-385 (2007) |
| 89 | EE | Justin Z. Zhan,
Stan Matwin,
LiWu Chang:
Privacy-preserving collaborative association rule mining.
J. Network and Computer Applications 30(3): 1216-1227 (2007) |
| 2006 |
|---|
| 88 | EE | David Nadeau,
Peter D. Turney,
Stan Matwin:
Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity.
Canadian Conference on AI 2006: 266-277 |
| 87 | EE | Maria Fernanda Caropreso,
Stan Matwin:
Beyond the Bag of Words: A Text Representation for Sentence Selection.
Canadian Conference on AI 2006: 324-335 |
| 86 | EE | Svetlana Kiritchenko,
Stan Matwin,
Richard Nock,
A. Fazel Famili:
Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization.
Canadian Conference on AI 2006: 395-406 |
| 85 | EE | William Elazmeh,
Nathalie Japkowicz,
Stan Matwin:
Evaluating Misclassifications in Imbalanced Data.
ECML 2006: 126-137 |
| 84 | EE | Justin Z. Zhan,
Stan Matwin:
A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining.
ICDM Workshops 2006: 546-550 |
| 83 | EE | Justin Z. Zhan,
LiWu Chang,
Stan Matwin:
Privacy-Preserving Collaborative Data Mining.
Foundations and Novel Approaches in Data Mining 2006: 213-227 |
| 82 | EE | Jerffeson Teixeira de Souza,
Stan Matwin,
Nathalie Japkowicz:
Parallelizing Feature Selection.
Algorithmica 45(3): 433-456 (2006) |
| 81 | EE | Chris Drummond,
Stan Matwin,
Chad Gaffield:
Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census.
Applied Artificial Intelligence 20(1): 1-33 (2006) |
| 2005 |
|---|
| 80 | EE | Guillaume Dufay,
Amy P. Felty,
Stan Matwin:
Privacy-Sensitive Information Flow with JML.
CADE 2005: 116-130 |
| 79 | EE | Narjès Boufaden,
William Elazmeh,
Yimin Ma,
Stan Matwin,
Nour El-Kadri,
Nathalie Japkowicz:
PEEP- An Information Extraction base approach for Privacy Protection in Email.
CEAS 2005 |
| 78 | EE | Quintin Armour,
William Elazmeh,
Nour El-Kadri,
Nathalie Japkowicz,
Stan Matwin:
Privacy Compliance Enforcement in Email.
Canadian Conference on AI 2005: 194-204 |
| 77 | EE | Justin Z. Zhan,
Stan Matwin,
LiWu Chang:
Privacy-Preserving Collaborative Association Rule Mining.
DBSec 2005: 153-165 |
| 76 | EE | Justin Z. Zhan,
LiWu Chang,
Stan Matwin:
Building k-nearest neighbor classifiers on vertically partitioned private data.
GrC 2005: 708-711 |
| 75 | EE | Justin Z. Zhan,
Stan Matwin,
LiWu Chang:
Private Mining of Association Rules.
ISI 2005: 72-80 |
| 74 | EE | Jerffeson Teixeira de Souza,
Nathalie Japkowicz,
Stan Matwin:
STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process.
PKDD 2005: 667-674 |
| 73 | EE | Narjès Boufaden,
William Elazmeh,
Stan Matwin,
Nathalie Japkowicz:
PEEP- Privacy Enforcement in Email Project.
PST 2005 |
| 72 | EE | Stan Matwin,
Amy P. Felty,
István T. Hernádvölgyi,
Venanzio Capretta:
Privacy in Data Mining Using Formal Methods.
TLCA 2005: 278-292 |
| 2004 |
|---|
| 71 | | Justin Z. Zhan,
LiWu Chang,
Stan Matwin:
Privacy-Preserving Multi-Party Decision Tree Induction.
DBSec 2004: 341-355 |
| 70 | | Justin Z. Zhan,
LiWu Chang,
Stan Matwin:
Bayesian Network Induction With Incomplete Private Data.
ICEB 2004: 1119-1124 |
| 69 | | Justin Z. Zhan,
Stan Matwin,
Nathalie Japkowicz,
LiWu Chang:
Privacy-Preserving Collaborative Association Rule Mining.
ICEB 2004: 1172-1178 |
| 68 | | Justin Z. Zhan,
Stan Matwin:
Privacy-Preserving Data Mining in Electronic Surveys.
ICEB 2004: 1179-1185 |
| 67 | | Svetlana Kiritchenko,
Stan Matwin,
Suhayya Abu-Hakima:
Email Classification with Temporal Features.
Intelligent Information Systems 2004: 523-533 |
| 66 | EE | Jelber Sayyad-Shirabad,
Stan Matwin,
Timothy C. Lethbridge:
Predictive Software Models.
STEP 2004: 10-22 |
| 65 | EE | M. Ouerd,
B. John Oommen,
Stan Matwin:
A formal approach to using data distributions for building causal polytree structures.
Inf. Sci. 168(1-4): 111-132 (2004) |
| 64 | EE | Érick Alphonse,
Stan Matwin:
Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning.
J. Intell. Inf. Syst. 22(1): 23-40 (2004) |
| 63 | EE | Stan Matwin:
Guest Editorial.
Machine Learning 57(3): 203-204 (2004) |
| 2003 |
|---|
| 62 | | Stan Matwin,
Claude Sammut:
Inductive Logic Programming, 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers
Springer 2003 |
| 61 | EE | Jelber Sayyad-Shirabad,
Timothy C. Lethbridge,
Stan Matwin:
Applying data mining to software maintenance records.
CASCON 2003: 253-265 |
| 60 | EE | Marvin Zaluski,
Nathalie Japkowicz,
Stan Matwin:
Case Authoring from Text and Historical Experiences.
Canadian Conference on AI 2003: 222-236 |
| 59 | EE | Ouerd Messaouda,
B. John Oommen,
Stan Matwin:
Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations.
Canadian Conference on AI 2003: 498-504 |
| 58 | EE | Jelber Sayyad-Shirabad,
Timothy Lethbridge,
Stan Matwin:
Mining the Maintenance History of a Legacy Software System.
ICSM 2003: 95-104 |
| 2002 |
|---|
| 57 | | Svetlana Kiritchenko,
Stan Matwin:
Generalized Features: Their Application to Classification.
AAAI/IAAI 2002: 985 |
| 56 | | Érick Alphonse,
Stan Matwin:
Feature Subset Selection and Inductive Logic Programming.
ICML 2002: 11-18 |
| 55 | EE | Érick Alphonse,
Stan Matwin:
A Dynamic Approach to Dimensionality Reduction in Relational Learning.
ISMIS 2002: 255-264 |
| 54 | EE | Amy P. Felty,
Stan Matwin:
Privacy-Oriented Data Mining by Proof Checking.
PKDD 2002: 138-149 |
| 2001 |
|---|
| 53 | | Eleni Stroulia,
Stan Matwin:
Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings
Springer 2001 |
| 52 | EE | Svetlana Kiritchenko,
Stan Matwin:
Email classification with co-training.
CASCON 2001: 8 |
| 51 | EE | J. Shirabad,
Timothy Lethbridge,
Stan Matwin:
Supporting Software Maintenance by Mining Software Update Records.
ICSM 2001: 22-31 |
| 50 | | Johanne Morin,
Stan Matwin:
GENEX: a tool for testing in ILP.
Softw., Pract. Exper. 31(10): 1003-1023 (2001) |
| 2000 |
|---|
| 49 | EE | Jelber Sayyad-Shirabad,
Timothy C. Lethbridge,
Stan Matwin:
Supporting maintenance of legacy software with data mining techniques.
CASCON 2000: 11 |
| 48 | EE | Johanne Morin,
Stan Matwin:
Relational Learning with Transfer of Knowledge Between Domains.
Canadian Conference on AI 2000: 379-388 |
| 47 | EE | Gregory E. Kersten,
Stan Matwin,
Sunil J. Noronha,
Mik Kersten:
The Software for Cultures and the Cultures in Software.
ECIS 2000 |
| 46 | EE | Johanne Morin,
Stan Matwin:
Learning Relational Clichés with Contextual LGG.
ISMIS 2000: 274-282 |
| 45 | EE | M. Ouerd,
B. John Oommen,
Stan Matwin:
A Formalism for Building Causal Polytree Structures Using Data Distributions.
ISMIS 2000: 629-637 |
| 1999 |
|---|
| 44 | | Sam Scott,
Stan Matwin:
Feature Engineering for Text Classification.
ICML 1999: 379-388 |
| 43 | | Mauricio Amaral de Almeida,
Stan Matwin:
Machine Learning Method for Software Quality Model Building.
ISMIS 1999: 565-573 |
| 1998 |
|---|
| 42 | | Sylvain Delisle,
Sylvain Létourneau,
Stan Matwin:
Experiments with Learning Parsing Heuristics.
COLING-ACL 1998: 307-314 |
| 41 | | Riverson Rios,
Stan Matwin:
Predicate Invention from a Few Examples.
Canadian Conference on AI 1998: 455-466 |
| 40 | | Sylvain Létourneau,
Stan Matwin,
Fazel Famili:
A Normalization Method for Contextual Data: Experience from a Large-Scale Application.
ECML 1998: 49-54 |
| 39 | | Miroslav Kubat,
Robert C. Holte,
Stan Matwin:
Machine Learning for the Detection of Oil Spills in Satellite Radar Images.
Machine Learning 30(2-3): 195-215 (1998) |
| 1997 |
|---|
| 38 | | Miroslav Kubat,
Robert C. Holte,
Stan Matwin:
Learning When Negative Examples Abound.
ECML 1997: 146-153 |
| 37 | | Miroslav Kubat,
Stan Matwin:
Addressing the Curse of Imbalanced Training Sets: One-Sided Selection.
ICML 1997: 179-186 |
| 36 | | Peter Clark,
Cao Feng,
Stan Matwin,
Ko Fung:
Improving Image Classification by Combining Statistical, Case-Based and Model Based Prediction Methods.
Fundam. Inform. 30(3/4): 227-240 (1997) |
| 1996 |
|---|
| 35 | | Daniel Charlebois,
David G. Goodenough,
Stan Matwin,
A. S. (Pal) Bhogal,
Hugh Barclay:
Planning and Learning in a Natural Resource Information System.
Canadian Conference on AI 1996: 187-199 |
| 34 | | Riverson Rios,
Stan Matwin:
Efficient Induction of Recursive Prolog Definitons.
Canadian Conference on AI 1996: 240-248 |
| 1995 |
|---|
| 33 | | Xiaobin Li,
Stan Szpakowicz,
Stan Matwin:
A WordNet-based Algorithm for Word Sense Disambiguation.
IJCAI 1995: 1368-1374 |
| 32 | EE | Cindy L. Mason,
Stan Matwin:
Guest Editors' Introduction: Environmental Applications of AI.
IEEE Expert 10(6): 12-13 (1995) |
| 31 | EE | Stan Matwin,
Daniel Charlebois,
David G. Goodenough,
A. S. (Pal) Bhogal:
Machine Learning and Planning for Data Management in Forestry.
IEEE Expert 10(6): 35-40 (1995) |
| 1994 |
|---|
| 30 | | David W. Aha,
Stephane Lapointe,
Charles X. Ling,
Stan Matwin:
Inverting Implication with Small Training Sets.
ECML 1994: 31-48 |
| 29 | | David W. Aha,
Stephane Lapointe,
Charles X. Ling,
Stan Matwin:
Learning Recursive Relations with Randomly Selected Small Training Sets.
ICML 1994: 12-18 |
| 28 | | Stan Matwin,
Affa Ahmad:
Reuse of Modular Software with Automated Comment Analysis.
ICSM 1994: 222-231 |
| 1993 |
|---|
| 27 | | Peter Clark,
Stan Matwin:
Learning Domain Theories using Abstract Beckground Knowledge.
ECML 1993: 360-365 |
| 26 | | Peter Clark,
Stan Matwin:
Using Qualitative Models to Guide Inductive Learning.
ICML 1993: 49-56 |
| 25 | | R. Jetzelsperger,
Stan Matwin,
Franz Oppacher:
Enhancing Reuse of Smalltalk Methods by Conceptual Clustering.
ICTAI 1993: 108-112 |
| 24 | | Stephane Lapointe,
Charles X. Ling,
Stan Matwin:
Constructive Inductive Logic Programming.
IJCAI 1993: 1030-1036 |
| 23 | | Gilles Fouqué,
Stan Matwin:
A Case-Based Approach to Software Reuse.
J. Intell. Inf. Syst. 2(2): 165-197 (1993) |
| 1992 |
|---|
| 22 | | Stephane Lapointe,
Stan Matwin:
Sub-unification: A Tool for Efficient Induction of Recursive Programs.
ML 1992: 273-281 |
| 1991 |
|---|
| 21 | | Sylvain Delisle,
Stan Matwin,
Lionel Zupan:
Integrating EBL with automatic Text Analysis.
EWSL 1991: 347 |
| 20 | | Sylvain Delisle,
Stan Matwin,
Jiandong Wang,
Lionel Zupan:
Explanation-based Learning Helps Acquire Knowledge from Natural Language Texts.
ISMIS 1991: 326-337 |
| 19 | | Mary Gick,
Stan Matwin:
The Importance of Causal Structure and Facts in Evaluating Explanations.
ML 1991: 51-54 |
| 1990 |
|---|
| 18 | | Jean Genest,
Stan Matwin,
Boris Plante:
Explanation-Based Learning with Incomplete Theories: A Three-step Approach.
ML 1990: 286-294 |
| 17 | EE | C. Geldrez,
Stan Matwin,
Johanne Morin,
Robert L. Probert:
An Application of Explanation-Based Learning to Protocol Conformance Testing.
IEEE Expert 5(5): 45-60 (1990) |
| 16 | EE | Patrick Constant,
Stan Matwin,
Franz Oppacher:
LEW: Learning by Watching.
IEEE Trans. Pattern Anal. Mach. Intell. 12(3): 294-308 (1990) |
| 1989 |
|---|
| 15 | | Stan Matwin,
Stan Szpakowicz,
Zbig Koperczak:
NEGOPLAN: An Inference-Based Negotiation Support Tool.
IFIP Congress 1989: 679-685 |
| 14 | | Stan Matwin,
Johanne Morin:
Learning Procedural Knowledge in the EBG Context.
ML 1989: 197-199 |
| 13 | | Stan Matwin,
Franz Oppacher,
Patrick Constant:
Knowledge acquisition by incremental learning from problem-solution pairs.
Computational Intelligence 5: 58-66 (1989) |
| 1988 |
|---|
| 12 | | Francesco Bergadano,
Stan Matwin,
Ryszard S. Michalski,
Jianping Zhang:
Measuring Quality of Concept Descriptions.
EWSL 1988: 1-14 |
| 11 | | Francesco Bergadano,
Stan Matwin,
Ryszard S. Michalski,
Jianping Zhang:
Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems.
ISMIS 1988: 270-280 |
| 10 | | Stan Matwin,
Franz Oppacher:
Learning by Watching: An Incremental Machine Learning Method that Acquires Rules by Conceptual Clustering.
ISMIS 1988: 363-373 |
| 1987 |
|---|
| 9 | | Stan Matwin,
Stan Szpakowicz,
Gregory E. Kersten,
Wojtek Michalowski,
Zbig Koperczak:
A Logic-Based Tools for Negotiation Support.
SLP 1987: 499-506 |
| 1986 |
|---|
| 8 | | Kenneth Forsythe,
Stan Matwin:
Copying of Dynamic Structures in a Pascal Environment.
Softw., Pract. Exper. 16(4): 335-340 (1986) |
| 1985 |
|---|
| 7 | | Stan Matwin,
Tomasz Pietrzykowski:
Prograph: A Preliminary Report.
Comput. Lang. 10(2): 91-126 (1985) |
| 6 | | Douglas R. Skuce,
Stan Matwin,
Branka Tauzovich,
Franz Oppacher,
Stan Szpakowicz:
A Logic-Based Knowledge Source System for Natural Language Document.
Data Knowl. Eng. 1(3): 201-231 (1985) |
| 1984 |
|---|
| 5 | | Kenneth Forsythe,
Stan Matwin:
Implementation Strategies for Plan-Based Deduction.
CADE 1984: 426-444 |
| 1982 |
|---|
| 4 | | Tomasz Pietrzykowski,
Stan Matwin:
Exponential Improvement of Efficient Backtracking: A Strategy for Plan-Based Deduction.
CADE 1982: 223-239 |
| 3 | | Stan Matwin,
Tomasz Pietrzykowski:
Exponential Improvement of Efficient Backtracking: data Structure and Implementation.
CADE 1982: 240-259 |
| 1977 |
|---|
| 2 | | Stan Matwin:
On the Completeness of a Set of Transformations Optimizing Linear Programs.
Inf. Process. Lett. 6(5): 165-167 (1977) |
| 1 | | Stan Matwin:
An Experimental Investigation of Geschke's Method of Global Program Optimization.
Inf. Process. Lett. 6(6): 177-179 (1977) |
