A Sequential Recommender System with Embeddings Based on GraphSage Aggregators -- Least-Squares Linear Dilation-Erosion Regressor trained using a Convex-Concave Procedure -- Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study -- BoVW-CAM: Visual Explanation from Bag of Visual Words -- Using BERT to predict the Brazilian Stock Market -- Human Action Recognition Based in 2D Poses and Skeleton Joints -- Self-learning methodology based on degradation estimation for underwater image enhancement -- When Less May Be More: Exploring Similarity to Improve Experience Replay -- Human Identification Based on Gait and Soft Biometrics -- Training Aware Sigmoidal Optimization -- Combining Convolutional and Attention Networks and a Color Classifier for Fire Detection -- A Study of Emergency Siren Recognition on Resource-Constrained Devices -- A probabilistically-oriented analysis of theperformance of ASR systems for Brazilian radios and tvs -- A Reward Function using Image Processing for a Deep Reinforcement Learning Approach Applied to The Sonic The Hedgehog Game -- Predicting Failures in HDDs with Deep NN and Irregularly-Sampled Data -- Protein Molecular Function Annotation based on Transformer Embeddings -- Event detection in therapy sessions for children with Autism -- On Social Consensus Mechanisms for Federated Learning Aggregation -- MegaLite-PT: A Corpus of Literature in Portuguese for NLP -- A Survey of Recent Advances on Two-Step 3D Human Pose Estimation -- Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets -- A comparative study of federated versus centralized learning for time series prediction in IoT -- A Hybrid System with Nonlinear Combination for Wind Speed Forecasting -- Detecting malicious HTTP requests without Log Parser using RequestBERT-BiLSTM -- Aiding glaucoma diagnosis from the automated classification and segmentation of fundus images -- Offline and online neural network learning in the context of smart homes and fog computing -- Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes -- Augmenting a Physics-Informed Neural Network for the 2D Burgers equation by addition of solution data points -- Impact of Morphological Segmentation on Pre-trained Language Models -- Learning Global Optimization by Deep Reinforcement Learning -- A frequency learning approach based on the Hartley transform for texture classification -- How Resilient are Imitation Learning Methods to Sub-Optimal Experts? -- To Answer or not to Answer? Filtering Questions for QA Systems -- Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts -- Interact2Vec: Neural item and user embedding for collaborative filtering -- Deep Learning-Based COVID-19 Screening using Photographs of Chest X-Rays Displayed in Computer Monitors -- Artificial neural networks to analyze energy consumption and temperature of uav on-board computers executing algorithms for object detection -- FastContext: handling out-of-vocabulary words using the word structure and context -- Wrapper Approach for Video Anomaly Detection applying Light Gradient Boosting Machine in a Multiple Instance Learning Setting -- PAN RAM Bootstrapping Regressor - A new RAM-based architecture for regression problems -- ConveXplainer for graph neural networks -- Extreme Learning Machine to Graph Convolutional Networks -- Sequence Labeling Algorithms for Punctuation Restoration in Brazilian Portuguese Texts -- Neural architecture search applied to hybrid morphological neural networks -- Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-ValuedNeural Networks.

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.