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Publications

  1. Theses:
    • Hanan G. Ayad. Voting-Based Consensus of Data Partitions. PhD Thesis. University of Waterloo, August 2008.
      [URL]
    • Hanan G. Ayad. A Multi-Agent Approach to User Profile Learning. Masters Thesis. University of Waterloo, June 2001.


  2. Journal Papers:
    • Hanan G. Ayad and Mohamed S. Kamel. Cumulative Voting Consensus Method for Partitions with a Variable Number of Cluster, IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 30, No. 1, January 2008. Pages 160-173.
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    • Hanan G. Ayad and Mohamed S. Kamel. On Voting-Based Consensus of Cluster Ensembles. Pattern Recognition Journal. Accepted. Track Article


  3. Conference Papers:
    • Hanan G. Ayad and Mohamed S. Kamel. Clustering Learning Objects Collections Using Cluster Ensembles. The 3rd annual e-learning conference on Intelligent Interactive Learning Object Repositories (I2LOR 2006). November 2006, Montreal, Canada
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    • Hanan G. Ayad and Mohamed S. Kamel. Cluster-Based Cumulative Ensembles. N. Oza and R. Polikar (Eds.): Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings. Vol. LNCS 3541, Springer, pages 236-245.
      [PDF]
    • Hanan G. Ayad, Otman Basir, and Mohamed S. Kamel. A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles. F. Roli, J. Kittler, T. Windeatt (Eds.): Multiple Classifier Systems, 5th International Workshop, MCS 2004, Cagliari, Italy. June 9-11, 2004, Proceedings. Vol. LNCS 3077, Springer, pages 144-153.
      [PDF]
    • Hanan G. Ayad and Mohamed S. Kamel, Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings. M. R. Berthold, H. Lenz, E. Bradley, R. Kruse, C. Borgelt (Eds.): Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings. Vol. LNCS 2810, Springer, pages 307-318.
      [PDF]
    • Hanan G. Ayad and Mohamed S. Kamel, Finding Natural Clusters Using Multi-Clusterer Combiner Based on Shared Nearest Neighbors. Terry Windeatt, Fabio Roli (Eds.): Multiple Classifier Systems, 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings. Vol. LNCS 2709, Springer, pages 166-175.
      [PS]
    • Hanan G. Ayad and Mohamed S. Kamel. Topic Discovery from Text Using Aggregation of Different Clustering Methods. R. Cohen, B. Spencer, (Eds.): Advances in Artificial Intelligence, 15th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2002. Calgary, Canada, May 27-29, 2002. Proceedings, Vol. LNAI 2338, Springer, pages 161-175.

      • [URL].


  4. Posters:
    • Hanan G. Ayad and Mohamed S. Kamel. Consensus-Based Clustering Method for Summarizing Diverse Data Categorizations. The 4rd annual e-learning conference on Intelligent Interactive Learning Object Repositories (I2LOR 2007). November 2007, Montreal, Canada.
      [PPT].
      Poster Award.
    • Hanan G. Ayad, Rozita Dara, Yanmin Sun, and Mohamed Kamel. Ensemble Methods for Knowledge Discovery in LORNET Data. The 2nd Annual Scientific Conference – I2LOR 2005. November 14-18, 2005, Vancouver, Canada.


  5. Graduate-Course Projects:
    • Hanan G. Ayad. Statistical Learning of Text Data. STAT 841 - Computational Exploration of Data.
      [PDF].
    • Hanan G. Ayad. Bagging an Unsupervised Learner. SYDE 675 - Pattern Recognition.
      [PDF].
    • Hanan G. Ayad. New Information-Theoretic Framework for Combining Multiple Data Clusterings. SYDE 676 - Information Theory in Pattern Discovery and Synthesis.
      [PDF].