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Department: Any ÅAU / Department of Information Technologies UTU / Department of Information Technology UTU / Department of Mathematics and Statistics UTU / Turku School of Economics, Institute of Information Systems Sciences

Research Unit: Any Algorithmics and Computational Intelligence Group (ACI) Biomathematics Research Unit (BIOMATH) Communication Systems (ComSys) Computational Biomodeling Laboratory (Combio Lab) Data Mining and Knowledge Management Laboratory Distributed Systems Laboratory (DS Lab) Embedded Computer and Electronic Systems (ECES) Embedded Systems Laboratory (ESLAB) FUNDIM, Fundamentals of Computing and Discrete Mathematics Institute for Advanced Management Systems Research (IAMSR) Learning and Reasoning Lab Software Construction Laboratorium Software Development Laboratory (SwDev) Software Engineering Laboratory (SE Lab) Turku BioNLP Group Turku Optimization Group (TOpGroup) UTU Information Systems Science (ISS)

Publication type: Any Monographs Edited books Edited special issues of journals Edited proceedings Articles in journals Articles in proceedings Chapters in edited books Ph.D. thesis Lic. thesis Technical reports

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Articles in proceedings (3):

• Mehran Gomari, Timo Järvi, Bayesian Model Comparison versus Generalization Ability of Neural Networks. In: Proceedings of the International Conference on Artificial Intelligence 1999 (IC-AI99), 2, 537--541, CSREA Press, 1999.
• Mehran Gomari, Patrik Finne, Timo Järvi, Ulf-Håkan Stenman, Jonas Hugosson, Learning Vector Quantization, Multilayer Perceptron, Neurofuzzy Network and Logistic Regression in the Diagnosis of Prostate Cancer. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'98, 1, 516 - 525, CSREA, 1998.
• Mehran Gomari, Artificial Neural Networks in the Diagnosis of Prostate Cancer. In: Proceedings of TOOLMET'97 - Tool Environments and Development Methods for Intelligent Systems, 144 - 149, Oulun Yliopistopaino, 1997.

Ph.D. thesis (1):

• Mehran Gomari, On the Generalization Ability of Bayesian Neural Networks. TUCS Dissertations 71. Turku Centre for Computer Science, 2005.