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+ | ====== Winners of the PSSI Award for the Best Ph. D. Dissertation in Artificial Intelligence in 2013 ====== | ||
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+ | ===== 2013 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence ===== | ||
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+ | **Dr. Tomasz Kajdanowicz**, | ||
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+ | Supervisor: **Prof. Przemysław Kazienko.** | ||
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+ | This dissertation concerns a problem of multi-label classification. Multi-label classification allows mapping of multiple class labels assigned at the same time to a single data instance. In order to face common problems in multi-label classification based on problem transformation, | ||
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+ | ===== Honourable mention in the competition for the 2013 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence ===== | ||
+ | **Dr. Piotr Bigaj**, Systems Research Institute, Polish Academy of Sciences \\ | ||
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+ | Supervisor: **Prof. Janusz Kacprzyk** | ||
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+ | The paper presents an innovative solution to one of the most important problems of mobile robotics which is global path planning (Global Path Planning GPP). This issue concerns solving the optimization problem with constraints. Constraints are associated with a set of rules for path planning including traffic restrictions imposed by non-holonomicity of the robot, while the optimization aspect is reflected in the fact that the search focuses on the shortest, most " | ||
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+ | ===== Honourable mention in the competition for the 2013 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence ===== | ||
+ | **Dr. Michał Lech**, Gdańsk University of Technology \\ | ||
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+ | Supervisor: **Prof. Bożena Kostek** | ||
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+ | In the scope of the dissertation the novel sound mixing system enabling a user to mix via hand gestures recognized in the varying image displayed by the multimedia projector has been developed. The gesture recognition model has been based on comparative analysis of the video stream displayed by the projector and video stream captured from the camera. The model employs fuzzy logic, support vector machines and author’s image processing method, which ensures high efficacy of gesture recognition without using devices such as infrared sensors and emitters. | ||
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+ | ===== Honourable mention in the competition for the 2013 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence ===== | ||
+ | **Dr. Krystyna Napierała**, | ||
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+ | Supervisor: **Prof. Jerzy Stefanowski** | ||
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+ | The dissertation concerns rule learning from imbalanced data, in which one of the classes contains much fewer examples than the other classes. Class imbalance, often observed in medicine, banking and technical diagnostics, | ||
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