Multi-objective Genetic Algorithms Applied to the Optimization of Expanded Genetic Codes -- Genetic Algorithms with Optimality Cuts to the Max-Cut Problem -- Assessment of robust multi-objective evolutionary algorithms on robust and noisy environments -- Binary Flying Squirrel Optimizer for Feature Selection -- Fitness Landscape Analysis of TPOT using Local Optima Network -- Optimization Strategies for BERT-based Named Entity Recognition -- FlexCon-CE: A Semi-supervised Method with an Ensemble-based Adaptive Confidence -- Single Image Super-Resolution Based on Capsule Neural Networks -- Development of a Deep Learning Model for the Classification of Mosquito Larvae Images -- A Simple and Low-cost Method for Leaf Surface Dimension Estimation Based on Digital Images -- Crop Row Line Detection with Auxiliary Segmentation Task -- Multiple object tracking in native bee hives: A case study with Jataí in the field -- An Open Source Eye Gaze Tracker system to perform remote user testing evaluations -- Who Killed the Winograd Schema Challenge? Sabiá: Portuguese Large Language Models -- Disambiguation of Universal Dependencies Part-of-Speech Tags of Closed Class Words in Portuguese -- Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain -- LegalBert-pt: A Pretrained Language Model for the Brazilian Portuguese Legal Domain -- A Framework for Controversial Political Topics Identification using Twitter Data -- Leveraging Sign Language Processing with Formal SignWriting and Deep Learning Architectures A clustering validation index based on semantic description -- Detecting Multiple Epidemic Sources in Network Epidemics using Graph Neural Networks -- Prediction of cancer-related miRNA targets using an integrative heterogeneous Graph Neural Network-based method -- Time series forecasting of COVID-19 cases in Brazil with GNN and mobility networks -- Federated Learning and Mel-spectrograms for Physical Violence Detection in Audio -- Police Report Similarity Search: a case study -- Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain -- A Tool for Measuring Energy Consumption in Data Stream Mining -- Improved Fuzzy Decision System for Energy Bill Reduction in the Context of the Brazilian White Tariff Scenario -- Exploring Artificial Intelligence methods for the automatic measurement of a new biomarker aiming at glaucoma diagnosis -- Investigation of deep Active Self-Learning algorithms applied to named entity recognition.