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.

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.