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Titlebook: Artificial Intelligence and Soft Computing; 21st International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2023

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楼主: Garfield
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K-Medoids-Surv: A Patients Risk Stratification Algorithm Considering Censored Datat of censored data there may exist several sub-populations with various risk profiles or survival distributions, for which regular survival analysis approaches do not take into consideration. Consequently, there is a need for discovering such sub-populations with unambiguous risk profiles and surviv
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A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysisrovides tools and techniques for analyzing and enhancing business processes. However, these processes are usually dynamic and can change because of new regulations, emergencies, or other reasons; and these changes are named concept or process drifts. Detecting drifts allows managers to improve the p
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Tourism Stock Prices, Systemic Risk and Tourism Growth: A Kalman Filter with Prior Update DSGE-VAR Mlicies and monitor them. One of the objectives of creating these models is to explain and understand financial fluctuations through a consistent theoretical framework. In the tourism sector, stock price and systemic risk are key financial variables in the international transmission of business cycle
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Assessment of Semi-supervised Approaches Applied to Convolutional Neural Networkss kind of network demands a great volume of labeled samples to reach a good convergence during the training process. However, in real scenarios labeled samples are scarce because the labeling process is costly and time consuming. Moreover, it is highly susceptible to errors when accomplished by huma
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A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysisificant differences in the accuracy between the tools when performed using distinct parameter configurations. The findings indicate that the parameter configuration affects the accuracy of the detected drifts and the dataset configuration. Another contribution of this paper is the designed experimen
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Tourism Stock Prices, Systemic Risk and Tourism Growth: A Kalman Filter with Prior Update DSGE-VAR Mncrease the robustness of DSGE and VAR models built for small samples and with irregular data. Our results indicate that BKPU improves the estimation of these models in two aspects. Firstly, the accuracy levels of the computing of the Markov Chain Monte Carlo model are increased, and secondly, the c
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