Publications

Peer-reviewed research.

A selection of 77+ publications in journals and international conference proceedings.

  1. 51

    Q. Yu, M. Rege, A. Bouguettaya, B. Medjahed and M. Ouzzani, “A Two-phase Framework for Quality-aware Web Service Selection”, in Service Oriented Computing and Applications Journal, Springer, 2010.

  2. 52

    X. Liu, C. Liu, M. Rege, and A. Bouguettaya, “Semantic Support for Adaptive Long Term Composed Services”, in Proceedings of IEEE International Conference on Web Services, 2010.

  3. 53

    Q. Yu and M. Rege, “On Service Community Learning: A Co-Clustering Approach”, in Proceedings of IEEE International Conference on Web Services, 2010.

  4. 54

    M. Rege, R. Bailey, and X. Liu, “Inferring Semantics with Object Feedback”, in Proceedings of International Conference on Data Mining and Intelligent Information Technology Applications, 2010.

  5. 55

    N. Green, M. Rege, and J. Noel-Storr, “Mining Family Learning Data: NASA Family Science Night Experiment”, in Proceedings of International Conference on Education and New Learning Technologies, 2010.

  6. 56

    M. Rege and R. Agrawal, “A Bayesian Framework for Feedback in region based Image Retrieval”, in Proceedings of International Conference on Advanced Topics in Artificial Intelligence, 2010.

  7. 57

    A. Donavalli, M. Rege, X. Liu, and K. Jafari-Khouzani, “Low-rank Matrix Factorization and Co-clustering Algorithms for Analyzing Large Data Sets”, in Proceedings of Workshop on Data Mining with Graphs and Matrices, Lecture Notes Computer Science, volume 6411, 2010.

  8. 58

    B. Desai, P. Andhale, M. Rege, and Q. Yu, “Biclustering and Feature Selection Techniques in Bioinformatics”, in Proceedings of Workshop on Data Mining with Graphs and Matrices, Lecture Notes Computer Science, volume 6411, 2010.

  9. 59

    Qi Yu and Manjeet Rege, “A Relational Approach for Efficient Service Selection”, in Proceedings of IEEE International Conference on Web Services, 2009.

  10. 60

    M. Rege and M. Dong, “A Graph Theoretic approach to Heterogeneous Data Clustering: New Research Directions and Some Results”, in VDM Verlag, 2009.

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