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 the performance 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-Valued Neural Networks.