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Ashesh Mahidadia's Information Page

Ashesh Mahidadia

Lecturer

To update this page please go to myCSE.
Office:
K17 310
[PHOTO: Ashesh Mahidadia ]
Phone:
+61 2 9385 6556 (Internal: x56556)
Fax:
+61 2 9385 5995 (Internal: x55995)
Email:
ashesh AT cse.unsw.edu.au
Mail:
School of Computer Science and Engineering
The University of New South Wales
Sydney 2052, Australia
Research Areas
  • Artificial Intelligence
  • Machine Learning
  • Knowledge Acquisition
  • Data Mining
  • Knowledge Discovery
  • Bioinformatics
Publications
Knowledge Management In Data And Knowledge Intensive Environments
A Mahidadia, P Compton, Practical Aspects of Knowledge Management: 5th International Conference, PAKM 2004, Proceedings, D. Karagiannis, U. Reimer.
Springer-Verlag, Berlin, 2004, pp. 106 - 116
Feature Extraction For Learning To Classify Questions
Z Cheung, K Phan, A Mahidadia, A Hoffmann, AI 2004: Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence, G. Webb, X. Yu.
Springer-Verlag, Germany, 2004, pp. 1069 - 1075
Mining Patterns Of Dyspepsia Symptoms Across Time Points Using Constraint Assoication Rules
A Lau, S Ong, A Mahidadia, A Hoffmann, J Westbrook, T Zrimec, Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Confernece, PAKDD 2003, .
Springer, Germany, 2003, pp. 124 - 135
Assisting Model-Discovery In Neuroendocrinology
A Mahidadia, P Compton, Discovery Science : 4th International Conference ; proceedings / DS 2001, Klaus P. Jantke; Ayumi Shinohara.
Springer, Berlin, Heidelberg, New York, 2001, pp. 214 - 227
Ripple-Down Rationality: A Framework For Maintaining Psms
T Menzies, A Mahidadia, Workshop Proceedings on Problem Solving Methods for Knowledge-Based Systems, .
IJCAI, Nagoya Japan, 1997, pp. 75 - 88
Recognition Of Handprinted Chinese Characters Using Riplle-Down Rules
A Amin, M Bamford, A Hoffman, A Mahidadia, P Compton, Advances in Structural and Syntactical Pattern Recognition. 6th International Workshop, SSPR' 96, .
Springer-Verlag, Germany, 1996, pp. 371 - 380

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