Titlebook: Engineering Applications of Neural Networks; 14th International C Lazaros Iliadis,Harris Papadopoulos,Chrisina Jayne Conference proceedings

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Max H?fer (Bundesbahnoberrat i. R.)ctions) with accuracy 100%. The proposed ERP-signal classification method provides a promising tool to study observational-learning mechanisms in joint-action research and may foster the future development of systems capable of automatically detecting erroneous actions in human-human and human-artificial agent interactions.

Cardioplegia

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鎮(zhèn)壓

https://doi.org/10.1007/978-3-662-42327-1rformance compared to state-of-the-art techniques, it offers useful information regarding the geometrical features that could be used as biomarkers providing insight to the relationship between ductal tree topology and pathology of human breast.

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GRAVE

Classification of Event Related Potentials of Error-Related Observations Using Support Vector Machictions) with accuracy 100%. The proposed ERP-signal classification method provides a promising tool to study observational-learning mechanisms in joint-action research and may foster the future development of systems capable of automatically detecting erroneous actions in human-human and human-artificial agent interactions.

漸強

AppendicitisScan Tool: A New Tool for the Efficient Classification of Childhood Abdominal Pain Clinol which could be used in practice. For all these reasons, we developed and applied a new ensemble methodology which combines the results of three machine learning models: Artificial Neural Networks, Support Vector Machines and Random Forests. The implementation is available as a standalone tool named AppendicitisScan Tool.

MAOIS

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