2CS: Correlation-guided Split Candidate Selection in Hoeffding Tree Regressors
A computational tool for automated detection ofgenetic syndrome using facial images
A deep learning approach for pulmonary lesion identification in chest radiographs
A Differential Evolution Algorithm for Contrast Optimization
A Distance-weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods
A Fuzzy Approach For Classification and Novelty Detection in Data Streams Under Intermediate Latency
A Fuzzy Reasoning Method based on ensembles of generalizations of the Choquet integral
A new hybridization of evolutionary algorithms, GRASP and set-partitioning formulation for the Capacitated Vehicle Routing Problem (CVRP)
A Pipelined Approach to Deal with Image Distortion in Computer Vision
A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits
A Robust Automatic License Plate Recognition System for Embedded Devices
A Study on the Impact of Intradomain Finetuning of Deep Language Models for Legal Named Entity Recognition in Portuguese
A Useful Tool to Support the Ontology Alignment Repair
Active Learning embedded in incremental decision trees
AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-Agent Systems
Aggregation with Weak, Axiological and Strong Sufficientarian Functions
An alternative to Power Measure for Fuzzy Rule-Based Classification Systems
An Approach to the Multi-Level Semantics of Agent Societies
An Argumentation-based Approach for Explaining Goals Selection in Intelligent Agents
An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers
An Evolutionary Analytic Center Classifier
An Online Pyramidal Embedding Technique for High Dimensional Big Data Visualization
Application-Level Load Balancing for Reactive Wireless Sensor Networks: An Approach Based on Constraint Optimization Problems
Applying Dynamic Evolutionary Optimization to the Multiobjective Knapsack Problem
Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Environments
Authorship attribution of Brazilian literary texts through machine learning techniques
Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clustering
BERTimbau: pretrained BERT models for Brazilian Portuguese
Comparative study of Fast Stacking Ensembles families algorithms
Cooperative Observation of Smart Target Agents
Data Streams are Time Series: Challenging Assumptions
Decoding machine learning benchmarks
Deep learning models for representing out-of-vocabulary words
DeepBT and NLP Data Augmentation Techniques: a new proposal and a comprehensive study
Dense Captioning using Abstract Meaning Representation
Diagnosis of Apple Fruit Diseases in the Wild with Mask R-CNN
Does Twitter data can be used to estimate Reality Show outcomes?
Domain Adaptation of Transformers for English Word Segmentation
Dynamic Software Project Scheduling Problem with PSO and Dynamic Strategies Based on Memory
Ensemble of algorithms for multifocal cervical image segmentation
Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories
Entropy-Based Filter Selection in CNNs Applied to Text Classification
Evaluating a new approach to data fusion in wearable physiological sensors for stress monitoring
Evaluation of metaheuristics in the optimization of Laguerre-Volterra Networks for nonlinear dynamic system identification
EvoLogic: Intelligent Tutoring System to Teach Logic
Exceptional Survival Model Mining
Financial time series forecasting via CEEMDAN-LSTM with exogenous features
Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning
FT-BlinGui: a fuzzy-based wearable device system to avoid visually impaired collision in real time
Genetic Learning Analysis of Fuzzy Rule-Based Classification Systems considering Data Reduction
Identifying fine-grained opinion and classifying polarity on coronavirus pandemic
Impact of Text Specificity and Size on Word Embeddings Performance: an Empirical Evaluation in Brazilian Legal Domain
Impacts of Multiple Solutions on the Lackadaisical Quantum Walk Search Algorithm
Improved Multilevel Algorithm to Detect Communities in Flight Networks
Improving Face Recognition Accuracy for Brazilian Faces in a Criminal Investigation Department
Improving FIFA Player Agents Decision-Making Architectures based on Convolutional Neural Networks through Evolutionary Techniques
Intelligent Classifiers on the Construction of Pollution Biosensors Based on Bivalves Behavior
KNN applied to PDG for source code similarity classification
Link prediction in social networks: an edge creation history retrieval-based method that combines topological and contextual data
Machine learning for suicidal ideation identification on Twitter for the Portuguese language
Measuring instance hardness using data complexity measures
Multi-objective Quadratic Assignment Problem: An Approach using Hyper-Heuristic and Choice Function
Neural Architecture Search in Graph Neural Networks
New Fast Morphological Geodesic Active Contour Method for Segmentation of Hemorrhagic Stroke in computed tomography image
On Improving the Efficiency of Majorization-Minorization for the Inference of Rank Aggregation Models
On the Multiple Possible Adaptive Mechanisms of the Continuous Ant Colony Optimization
On the Performance of Planning through Backpropagation
PARALLEL MONTE CARLO TREE SEARCH IN GENERAL VIDEO GAME PLAYING
Particle Competition for Unbalanced Community Detection in Complex Networks
People Identification Based on Soft Biometrics Features Obtained from 2D Poses
Photovoltaic Generation Forecast: model training and adversarial attack aspects
Pre-trained Data Augmentation for Text Classification
Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes
Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network
Quantifying Temporal Novelty in Social Networks using Time-Varying Graphs and Concept Drift Detection
Risk Sensitive Stochastic Shortest Path and LogSumExp: from theory to practice
Robust Ranking of Brazilian Supreme Court Decisions
Semantically Inspired AMR Alignment for the Portuguese language
Semi-Supervised Sentiment Analysis of Portuguese Tweets with Random Walk in Feature Sample Networks
Simulating Complexity Measures on Imbalanced Datasets
Solving Multi-Agent Pickup and Delivery Problems Using a Genetic Algorithm
SSL-C4.5: Implementation of a classification algorithm for semi-supervised learning based on C4.5
Stocks Clustering Based on Textual Embeddings for Price Forecasting
Testing Multiagent Systems under Organizational Model Moise using a Test Adequacy Criterion based on State Transition Path
Texture analysis based on structural co-occurrence matrix improves the colorectal tissue characterization
The use of machine learning in the classification of electronic lawsuits: an application in the Court of Justice of Minas Gerais
Towards a Free, Forced Phonetic Aligner for Brazilian Portuguese Using Kaldi Tools.
Towards a Theory of Hyperntensional Belief Change
Towards an Instance-Level Meta-Learning-Based Ensemble for Time Series Classification
Twitter Moral Stance Classification using Long Short-Term Memory Networks
Unsupervised Learning Method for Encoder-Decoder-Based Image Restoration
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