Embracing data irregularities in multivariate time series with Recurrent and Graph Neural Networks -- Regulation and Ethics of Facial Recognition Systems: an analysis of cases in the Court of Appeal in the State of São Paulo -- A combinatorial optimization model and polynomial time heuristic for a problem of finding specific structural patterns in networks -- Efficient Density-Based Models for Multiple Machine Learning Solutions over Large Datasets -- Exploring Text Decoding Methods for Portuguese Legal Text Generation -- Community Detection for Multi-Label Classification -- A Monte Carlo Algorithm for Time-Constrained General Game Playing -- Alpha-MCMP: trade-offs between probability and cost in SSPs with the MCMP criterion -- Specifying Preferences over Policies using Branching Time Temporal Logic -- Logic-based Explanations for Linear Support Vector Classifiers with Reject Option -- The Multi-Attribute Fairer Cover Problem -- A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem -- Allocating Dynamic and Finite Resources to a Set of Known Tasks -- A Multi-algorithm approach to the optimization of thermal power plants operation -- An incremental MaxSAT-based model to learn interpretable and balanced classification rules -- d-CC Integrals: generalizing CC-integrals by restricted dissimilarity functions with applications to fuzzy-rule based systems -- FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction -- Hierarchical Time-aware Approach for Video Summarization -- Analyzing college student dropout risk prediction in real data using walk-forward validation -- The artificial intelligence as a technological resource in the application of tasks for the development of joint attention in children with autism -- Machine teaching: an explainable machine learning model for individualized education -- BLUEX: a benchmark based on Brazilian Leading Universities Entrance eXams -- Towards Generating P-Contrastive Explanations for Goal Selection in extended-BDI Agents -- Applying Theory of Mind to Multi-Agent Systems: A Systematic Literature Review -- A Spin-off Version of Jason for IoT and Embedded Multiagent Systems -- Hybrid Multilevel Explanation: A new approach for explaining regression models -- Explainability of COVID-19 Classification Models using Dimensionality Reduction of SHAP values -- An explainable model to support the decision about the appropriate therapy protocol for AML -- Bayes and Laplace versus the world: A new label attack approach in federated environments based on Bayesian Neural Networks -- MAT-Tree: A Tree-based Method for Multiple Aspect Trajectory Clustering.