George Potamias
Papers
1
Total Citations
4
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1
About
George Potamias is a leading researcher in artificial intelligence, with a particular focus on probabilistic modeling, data mining, and intelligent agent systems. His work bridges theoretical foundations and practical applications, notably advancing the use of stochastic Petri-nets and neural networks for planning under uncertainty, as well as exploring fractal-based approaches to data mining that reveal hidden patterns in complex datasets. Potamias has also made significant contributions to voice activity detection through the application of generalized gamma distributions, and to the development of intelligent virtual agents using mixture models and Markov random fields. His edited volume, *Advances in Artificial Intelligence* (2006), which compiles proceedings from the 4th Hellenic Conference on AI, remains a key reference in the field, with over 4 citations. Through this work, Potamias has helped shape modern AI methodologies, particularly in integrating statistical learning with symbolic reasoning. His research continues to influence both academic inquiry and practical system design, making him a notable figure in the European AI community.
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