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Titlebook: Advances in Artificial Intelligence-Empowered Decision Support Systems; Papers in Honour of George A. Tsihrintzis,Maria Virvou,Lakhmi C. J

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楼主: 笔记
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Classification of H&E Stained Liver Histopathology Images Using Ensemble Learning Techniques for Deter used for model development and evaluation. Four pre-trained CNN models AlexNet, VGG16, Inception-v3, and ResNet50 that follow transfer learning approaches are used to build the ensemble model. The proposed ensemble model outperforms the state-of-the-art CNN architectures in terms of sensitivity,
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A Care Oriented Decision Support System Based on Ensemble Methodsated to the oncological therapies of these patients, with the information of success/failure of the therapy. The proposed DSS is realised within the framework Oncological Advanced Therapy Management (OATM) project, whose aim is to improve the quality of care for oncology patients through solutions t
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Clustering Analysis of Spain at the Regional Level for the Life Insurance Sectorible and clearly divided clustering. (iii) The interpretation of the clustering with the full selection of data allows us to discuss and rank regions according to two dimensions: ‘Lifestyle, Health, and Environment’, and ‘Economic stress, unemployment, and mortality and morbidity’. These rankings pr
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Knowledge-Based Commercial Real Estate Recommender Systemng information on popular Russian real estate rental sites, the processing of these data and a knowledge-based model. Also database has been created, as well as web service, the output of which is a Google map with markers of different colors that indicate the degree of recommendation offered to the
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Sensor Functional Clustering for Data Reducing at Making Robot Control Decisionsprocess data on functional clusters, using data bundling. The proposed method of forming functional clusters and minimizing the amount of data generated by the devices of the sensor system is based on reducing the operating time of the sensor and actuators selected in the cluster to solve the target
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