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Intelligent Systems : 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I / edited by João Carlos Xavier-Junior, Ricardo Araújo Rios.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13653
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 13653
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer networks.
- Data mining.
- Education-Data processing.
- Social sciences-Data processing.
- Artificial Intelligence.
- Computer Communication Networks.
- Data Mining and Knowledge Discovery.
- Computers and Education.
- Computer Application in Social and Behavioral Sciences.
- Local Subjects:
- Artificial Intelligence.
- Computer Communication Networks.
- Data Mining and Knowledge Discovery.
- Computers and Education.
- Computer Application in Social and Behavioral Sciences.
- Physical Description:
- 1 online resource (XXIII, 660 pages) : 174 illustrations, 137 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-21686-2
- 9783031216862
- Access Restriction:
- Restricted for use by site license.
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