Publications by Antonie, Maria-Luiza
In Journal (refereed)
1. | M. Antonie, O. Zaiane, A. Coman. "Associative Classifiers for Medical Images". Lecture Notes in Artificial Intelligence, 2797, pp 68-83, January 2003. |
In Conference (refereed)
2. | A. Srivastava, O. Zaiane, M. Antonie. "Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification". International Database Engineering and Applications Symposium, Banff, Canada, pp 141-148, September 2007. |
3. | O. Zaiane, M. Antonie. "On Pruning and Tuning Rules for Associative Classifiers". International Conference on Knowledge-Based Intelligence Information , Melbourne, Australia, pp 966-973, September 2005. |
4. | R. Rak, W. Stach, O. Zaiane, M. Antonie. "Considering Re-occurring Features in Associative Classifiers". Proceeding of the Pacific Asia Conference on Knowledge Discovery and Data Mining, pp 240-248, May 2005. |
5. | M. Antonie, O. Zaiane. "Mining Positive and Negative Association Rules: An Approach for Confined Rules". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Pisa, Italy, (ed: J. G. Carbonell, J. Siekmann), pp 27-38, September 2004. |
6. | M. Antonie, O. Zaiane. "Text Document Categorization by Term Association". IEEE International Conference on Data Mining (ICDM), pp 19-26, December 2002. |
7. | O. Zaiane, M. Antonie. "Classifying text documents by associating terms with text categories". Australasian Database Conference, Melbourne, Australia, pp 215-222, February 2002. |
In Workshop
8. | M. Antonie, O. Zaiane. "An Associative Classifier Based on Positive and Negative Rules". Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD), ACM, pp 64-69, June 2004. |
9. | O. Zaiane, M. Antonie, A. Coman. "Mammography Classification by an Association Rule-Based Classifier". International ACM SIGKDD Workshop on Multimedia Data Mining, Springer Verlag, pp 62-69, July 2002. |
10. | M. Antonie, O. Zaiane, A. Coman. "Application of Data Mining Techniques for Medical Image Classification". International ACM SIGKDD Workshop on Multimedia Data Mining, pp 94-101, August 2001. |