Intelligent Systems (eBook, PDF)

11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I
Redaktion: Xavier-Junior, João Carlos; Rios, Ricardo Araújo

• Format: PDF

Produktbeschreibung

The two-volume set LNAI 13653 and 13654 constitutes the refereed proceedings of the 11th Brazilian Conference on Intelligent Systems, BRACIS 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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 660
• Erscheinungstermin: 18. November 2022
• Englisch
• ISBN-13: 9783031216862
• Artikelnr.: 66451667

Inhaltsangabe

Mortality Risk Evaluation: a Proposal for Intensive Care Units Patients Exploring Machine Learning Methods.- Requirements Elicitation Techniques and Tools in the Context of Artificial Intelligence.- An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-Stationary Environments.- The impact of state representation on approximate Q-learning for a selection hyper-heuristic.- A network-based visual analytics approach for performance evaluation of swarms of robots in the surveillance task.- Ulysses-RFSQ: a novel method to improve Legal Information Retrieval based on Relevance Feedback.- Adaptive Fast XGBoost for Regression.- The Effects of Under and Over Sampling in Exoplanet Transit Identification with Low Signal-to-Noise Ratio Data.- Estimating Bone Mineral Density Based on Age.- Feature Extraction for a Genetic Programming-Based Brain-Computer Interface.- Selecting Optimal Trace Clustering Pipelines with Meta-Learning.- Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision.- Towards a better understanding of heuristic approaches applied to the biological motif discovery.- Mutation Rate Analysis Using a Self-Adaptive Genetic Algorithm on the OneMax Problem.- Application of the Sugeno Integral in Fuzzy Rule-Based Classification.- Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Enviroment.- Glomerulosclerosis identification using a modified Dense Convolutional Network.- Diffusion-based Approach to Style Modeling in Expressive TTS.- Automatic Rule Generation for Cellular Automata using Fuzzy Times Series Methods.- Explanation-by-Example Based on Item Response Theory.- Short-and-Long-Term Impact of Initialization Functions in NeuroEvolution.- Analysis of the influence of the MVDR filter parameters on the performance of SSVEP-based BCI.- A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration.- Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators.- Leveraging Textual Descriptions for House Price Valuation.- Measuring Ethics in AI with AI: A Methodology and Dataset Construction.- Time Robust Trees: Using Temporal Invariance to Improve Generalization.- Generating Diverse Clustering Datasets with Targeted Characteristics.- On AGM Belief Revision for Computational Tree Logic.- Hyperintensional Models and Belief Change.- A Multi-Population Schema designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems.- Answering Questions about COVID-19 Vaccines using ChatBot Technologies.- Analysis of the neutrality of AutoML Search Spaces with Local Optima Networks.- Dealing with inconsistencies in ASPIC+.- A Grammar-based Genetic Programming Hyper-Heuristic for Corridor Allocation Problem.- Generalising Semantics to Weighted Bipolar Argumentation Frameworks.- The use of multiple criteria decision aiding methods in recommender systems: a literature.- Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules review.- Artificial Intelligence: Algorithmic Transparency and Public Policies: The Case of Facial Recognition Technologies in the Public Transportation System of Large Brazilian Municipalities.- Resource Allocation Optimization in Business Processes Supported by Reinforcement Learning and Process Mining.- Exploitability Assessment with Genetically Tuned Interconnected Neural Networks.- Predicting Compatibility of Cultivars in Grafting Processes using Kernel Methods and Collaborative Filtering.- Cross-validation Strategies for Balanced and Imbalanced Datasets.- Geographic Context-Based Stacking Learning for Election Prediction from Socio-Economic Data.