Titlebook: Intelligent Systems; 11th Brazilian Confe João Carlos Xavier-Junior,Ricardo Araújo Rios Conference proceedings 2022 The Editor(s) (if appli

magnanimity

Mutation Rate Analysis Using a Self-Adaptive Genetic Algorithm on the OneMax Problem,xperiments were conducted on the OneMax problem, analyzing aspects such as: convergence, quality of the solution, the diversity of the population, and the number of individuals evaluated. Obtained results and their impacts are presented in this paper.

infantile

0302-9743 ed from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence..978-3-031-21685-5978-3-031-21686-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

Aerophagia

Conference proceedings 2022ch took place in Campinas, Brazil, in November/December 2022. .The 89 papers presented in the proceedings were carefully reviewed and selected from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence..

慢慢冲刷

An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Envirimprove the whole data stream process. An empirical analysis is conducted using real and synthetic datasets. The proposed approach achieved better results than the original one and some state-of-art drift detection methods.

BORE

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0302-9743 2022, which took place in Campinas, Brazil, in November/December 2022. .The 89 papers presented in the proceedings were carefully reviewed and selected from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence..978-3-031-21685-

离开可分裂

Mortality Risk Evaluation: A Proposal for Intensive Care Units Patients Exploring Machine Learning developing a system that analyzes large amounts of raw data, which human specialists can neglect. Quantifying a patient’s condition to support the definition and adjustment of clinical treatment and predict future outcomes is a significant research problem in intensive care. This work’s main object

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Requirements Elicitation Techniques and Tools in the Context of Artificial Intelligence,on phase. In this phase, developers alongside stakeholders make use of various techniques, methodologies, and tools available to elicit software requirements. Problem: The need of understanding which techniques, methodologies, and tools are suitable in requirements elicitation in the context of AI,

anthesis

An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Envirantee that all data is labelled. Consequently, semi-supervised learning (SSL) becomes an efficient attempt to build an effective model in this context. Dynamic Data Stream Learning (DyDaSL) is a framework that uses a SSL algorithm to build a model able to classify instances in a data stream context.

填满

The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic,ach can increase the robustness of an optimization system. In this work, we investigate the use of a reinforcement learning technique as the selection mechanism of a hyper-heuristic algorithm. Specifically, we use the approximate Q-learning using an Artificial Neural Network as function approximatio