Transformer Model for Fault Detection From Brazilian Pre-Salt Seismic Data -- Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders -- Dog Face Recognition Using Vision Transformer -- Convolutional neural networks for the molecular detection of Covid-19 -- Hierarchical Graph Convolutional Networks for Image Classification -- Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach -- Enhancing Stock Market Predictions through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-Market Analysis -- Ensemble architectures and efficient fusion techniques for Convolutional Neural Networks: an analysis on resource optimization strategies -- Dog Face Recognition using Deep Feature Embeddings -- Clinical oncology textual notes analysis using machine learning and deep learning -- EfficientDeepLab For Automated Trachea Segmentation On Medical Images -- Multi-Label Classification of Pathologies in Chest Radiograph Images Using DenseNet -- Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers -- Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence -- Deep Reinforcement Learning for Voltage Control in Power Systems -- Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging -- Occluded Face In-painting Using Generative Adversarial Networks - A Review Classification of facial images to assist in the diagnosis of Autism Spectrum Disorder: a study on the effect of face detection and landmark identification algorithms -- Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design -- AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification -- Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset -- Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification -- A Feature-based Out-of-Distribution Detection Approach in Skin Lesion Classification -- A framework for characterizing what makes an instance hard to classify -- Physicochemical Properties for Promoter Classification -- Critical analysis of AI indicators in terms of weighting and aggregation approaches -- Estimating Code Running Time Complexity with Machine Learning The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.