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Intelligent Systems: 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I - Softcover

 
9783031216879: Intelligent Systems: 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I

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 ytics approach for performance evaluation of swarms of robots in the surveillance task.- Ulysses-RFSQ: a novel method to improve 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 ysis 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.- ysis 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.

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