Home

 | Research & Interests

 | Courses 

 |  SITE

 |  CSCSI

 |  UofO AI Group

 |  Intelligent Data Analysis Journal

 

Research & Interests


I am a member of the Text Analysis and MAchine LEarning (TAMALE ) laboratory. My research focuses on machine learning, data mining and their applications.

The main current research interests are:

Privacy-Sensitive Information flow with JML
Guillaume Dufay, Amy Felty and Stan Matwin
Full text

Privacy in Data Mining Using Formal Methods
Stan Matwin, Amy Felty, Istvan Hernadvolgyi and Venanzio Capretta
Full text

Privacy-oriented Data Mining by Proof Checking
Amy Felty and Stan Matwin
Full text (.ps)

PEEP - An Information Extraction based approach for Privacy Protection in Email
N. Boufaden, W. Elazmeh, Stan Matwin, N. Japkowicz and N. Elkadri
Full text

Privacy - Preserving Collaborative Association Rule Mining
J. Zhan, Stan Matwin and L. Chang
Full text (.PDF)

Privately Mining Association Rules
Justin Zhan, Stan Matwin and LiWu Chang
Full text (.PDF)

Privacy Compliance Enforcement in Email
Quintin Armour, William Elazmeh, Nour Elkadri, Nathalie Japkowicz and Stan Matwin
Full text (.PDF)

Mining Software Change Repository of a Legacy Telephony System
J. Sayyad Shirabad, T. Lethbridge and Stan Matwin
Full text (.PDF)

Applying data mining to software maintenance records
J. Sayyad Shirabad, T. Lethbridge and Stan Matwin
Full text

Supporting Software Maintenance by Mining Software Update Records
J. Sayyad Shirabad, T. Lethbridge and Stan Matwin
Full text (.ps)

Machine learning method for software quality model building
M.A. de Almeida and Stan Matwin

Abstract (html)
Full text (.PDF)

E-mail Classification with Temporal Features
S. Kiritchenko, Stan Matwin and S. Abu-Hakima
Full text

Case Authoring from Text and Historical Experiences
M. M. Zaluski, N. Japkowicz and Stan Matwin
Full text

Email Classification with Co-Training
S. Kiritchenko and Stan Matwin
Full text (.PDF)

Feature Engineering for Text Classification
S. Scott and Stan Matwin

Abstract (html)
Full text (.PDF)

A Dynamic Approach to Dimensionality Reduction in Relational Learning
E. Alphonse and Stan Matwin
Full text

Feature Selection and Inductive Logic Programming
E. Alphonse and Stan Matwin
Full text (.ps)

Inferring and revising theories with confidence data mining the 1901 Canadian census
C. Drummond and Stan Matwin
Full text (.ps)

Functional Annotation of Genes Using Hierarchical Text Categorization
Svetlana Kiritchenko, Stan Matwin and A. Fazel Famili
Full text

Hierarchical Text Categorization as a Tool of Associating Genes with Gene Ontology Codes
Svetlana Kiritchenko, Stan Matwin and Fazel Famili
Full text

Functional genomics by means of hierarchical text categorization
S.  Kiritchenko, F. Famili and Stan Matwin
Full text

A formal approach to using data distributions for building causal Polytree structures
M.Ouerd, B. J. Oommen and Stan Matwin
Full text

A Dynamic Approach to Dimensionality Reduction in Relational Learning
E. Alphonse and Stan Matwin
Full text

Data Mining for Prediction of Aircraft Component Failure
S. Létourneau, S. Famili and Stan Matwin
Abstract (html)

Full text (.PDF)

Machine Learning for the Detection of Oil Spills in Satellite Radar Images
M. Kubat, R. Holte and Stan Matwin

Abstract (html)
Full text (.PDF)

The Software for Cultures and the Cultures in Software
G. Kersten, M. Kersten, Stan Matwin and S. Noronha

Abstract (html)
Full text (.PDF)

Experiments with learning Parsing Heuristics
S. Delisle, S. Létourneau and Stan Matwin

Abstract (html)
Full text (.PDF)