By Professor Claude Sammut

Journal articles

Amin A; Sammut C; Sum KC, 1996, 'Learning to recognize hand-printed Chinese characters using inductive logic programming', International Journal of Pattern Recognition and Artificial Intelligence, 10, pp. 829 - 847, http://dx.doi.org/10.1142/S0218001496000487

Sammut CA, 1996, 'Automatic construction of reactive control systems using symbolic machine learning', Knowledge Engineering Review, 11, pp. 27 - 42

Mulholland M; Hibbert DB; Haddad P; Sammut CA, 1995, 'application of the C4.5 classifier to building and expert system for on chromatography', Chemometrics and intelligent laboratory systems, pp. 95 - 104

Hauser T; Kraegen EW; Campbell LV; Compton PJ; Sammut C; Chisholm DJ, 1992, 'Assessment of experts' approach to insulin therapy and development of a simulator for diabetes insulin adjustment', Diabetes Care, 15, pp. 221 - 231

Hauser T; Kraegen EW; Campbell LV; Compton PJ; Sammut C; Chisholm DJ, 1992, 'Erratum: Assessment of experts' approach to insulin therapy and development of a simulator for diabetes insulin adjustment (Diabetes Care (February 1992) 15 (221-231))', Diabetes Care, 15, pp. 733

Sammut C; Michie D, 1991, 'Controlling a ’Black-Box’ Simulation of a Spacecraft', AI Magazine, 12, pp. 56 - 63

Sammut CA, 1985, 'Concept Development for Expert System Knowledge Bases', Australian Computer Journal, 17, pp. 49 - 55

Sammut RA; Sammut CA, 1983, 'PROLOG: A Tutorial Introduction', Australian Computer Journal, 15

Sammut CA; Sammut RA, 1983, 'The Implementation of UNSW Prolog', Australian Computer Journal, 15

Cohen B; Sammut C, 1982, 'Object recognition and concept learning with CONFUCIUS', Pattern Recognition, 15, pp. 309 - 316, http://dx.doi.org/10.1016/0031-3203(82)90033-4

Cohen B; Sammut C, 1980, 'Learning Concepts in Complex Environments', Australian Computer Science Communications, 2, pp. 13 - 23

Cohen BL; Sammut CA, 1979, 'PATTERN RECOGNITION AND LEARNING WITH A STRUCTURAL DESCRIPTION LANGUAGE.', , pp. 394 - 397

Cohen BL; Sammut CA, 1978, 'CONFUCIUS: A Structural Concept Learning System', Australian Computer Journal, 10, pp. 138 - 144

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