Titlebook: Advances in Artificial Intelligence; 19th Conference of t Enrique Alba,Gabriel Luque,Rodrigo Gil-Merino Conference proceedings 2021 Springe

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The Age-Dependent Process: Markov Case,and basic animal conducts, while keeping behaviors of the organisms interrelated. Multiple relations between different species were observed on the generated organisms. Furthermore, the performance of the organisms was comparable to that of a human player.

CROAK

Conference proceedings 2021ancelled due to the COVID-19 pandemic, amalgamated with CAEPIA 2021, and held in Malaga, Spain, during September 2021..The 25 full papers presented were carefully selected from 40 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to r

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/146720.jpg

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Advances in Artificial Intelligence978-3-030-85713-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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The Process of Mutant Ancestors,es allows ophthalmologists to early detect and diagnose this disease; however, the manual interpretation of images is a time-consuming task. In spite of the existence of several computer vision tools for analysing retinal fundus images, they are mainly focused on the diagnosis of diabetic retinopath

Indebted

https://doi.org/10.1007/978-3-642-51536-1lt to adopt these techniques due to several reasons. First of all, using detection models requires some knowledge about the library employed to built them; and, in general, it is not usually possible to interact with the predictions produced by the models. In addition, training custom models is also

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https://doi.org/10.1007/978-3-319-31641-3h scenarios with tight time restrictions, such as online execution systems. We have trained this architecture on a video game environment used as a standard testbed for intelligent systems applications. We experiment with different values of the discount rate . and show the importance of long-term t

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煩人

Coalescence in Branching Processesfollow a natural order relationship between them. In this context, a well-known approach for time series nominal classification was previously used: the Shapelet Transform (ST). The exploitation of the ordinal information was included in two steps of the ST algorithm: 1) by using the Pearson’s deter