Matwin Stan
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
1982 …2023

Research activity per year

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  • 2023

    Conclusions

    Matwin, S., Milios, A., Prałat, P., Soares, A. & Théberge, F., 2023, SpringerBriefs in Computer Science. Springer, p. 67 1 p. (SpringerBriefs in Computer Science; vol. Part F824).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
  • Introduction

    Matwin, S., Milios, A., Prałat, P., Soares, A. & Théberge, F., 2023, SpringerBriefs in Computer Science. Springer, p. 83-84 2 p. (SpringerBriefs in Computer Science; vol. Part F824).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Open Access
  • Methods for Text Generation in NLP

    Matwin, S., Milios, A., Prałat, P., Soares, A. & Théberge, F., 2023, SpringerBriefs in Computer Science. Springer, p. 13-33 21 p. (SpringerBriefs in Computer Science; vol. Part F824).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Mining and Modelling Complex Networks

    Matwin, S., Milios, A., Prałat, P., Soares, A. & Théberge, F., 2023, SpringerBriefs in Computer Science. Springer, p. 47-65 19 p. (SpringerBriefs in Computer Science; vol. Part F824).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Ontologies and Data Models for Cross-platform Social Media Data

    Matwin, S., Milios, A., Prałat, P., Soares, A. & Théberge, F., 2023, SpringerBriefs in Computer Science. Springer, p. 3-11 9 p. (SpringerBriefs in Computer Science; vol. Part F824).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Topic and Sentiment Modelling for Social Media

    Matwin, S., Milios, A., Prałat, P., Soares, A. & Théberge, F., 2023, SpringerBriefs in Computer Science. Springer, p. 35-46 12 p. (SpringerBriefs in Computer Science; vol. Part F824).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2020

    An encryption methodology for enabling the use of data warehouses on the cloud

    Lopes, C. C., Cesário-Times, V., Matwin, S., de Aguiar Ciferri, C. D. & Ciferri, R. R., Nov 27 2020, Research Anthology on Artificial Intelligence Applications in Security. IGI Global, Vol. 1-4. p. 528-559 32 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2015

    Personal privacy protection in time of big data

    Sokolova, M. & Matwin, S., Jul 7 2015, Challenges in Computational Statistics and Data Mining. Springer International Publishing, Vol. 605. p. 365-380 16 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    3 Citations (Scopus)
  • 2014

    A study of personal health information posted online: Using machine learning to validate the importance of the terms detected by MedDRA and SNOMED in revealing health information in social media

    Ghazinour, K., Sokolova, M. & Matwin, S., Jan 1 2014, Text Mining of Web-Based Medical Content. Walter de Gruyter GmbH, p. 107-132 26 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2013

    Privacy-Preserving data mining techniques: Survey and challenges

    Matwin, S., 2013, Studies in Applied Philosophy, Epistemology and Rational Ethics. Springer International Publishing, p. 209-221 13 p. (Studies in Applied Philosophy, Epistemology and Rational Ethics; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    34 Citations (Scopus)
  • 2010

    Data privacy: From technology to economics

    Matwin, S. & Szapiro, T., 2010, Advances in Machine Learning II: Dedicated to the Memory of Professor Ryszard S.Michalski. Koronacki, J., Wierzchon, S., Ras, Z. & Kacprzyk, J. (eds.). p. 43-74 32 p. (Studies in Computational Intelligence; vol. 263).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    2 Citations (Scopus)
  • 2008

    How to prevent private data from being disclosed to a malicious attacker

    Zhan, J., Chang, L. W. & Matwin, S., 2008, Data Mining: Foundations and Practice. p. 517-528 12 p. (Studies in Computational Intelligence; vol. 118).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    2 Citations (Scopus)
  • Privacy-preserving naive Bayesian classification over horizontally partitioned data

    Zhan, J., Matwin, S. & Chang, L. W., 2008, Data Mining: Foundations and Practice. p. 529-538 10 p. (Studies in Computational Intelligence; vol. 118).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    7 Citations (Scopus)
  • 2006

    Modeling relevance relations using machine learning techniques

    Shirabad, J. S., Lethbridge, T. C. & Matwin, S., 2006, Advances in Machine Learning Applications in Software Engineering. IGI Global, p. 168-207 40 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

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