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Embracing data irregularities in multivariate time series with Recurrent and Graph Neural Networks
Regulation and Ethics of Facial Recognition Systems: an analysis of cases in the Court of Appeal in the State of Sô Paulo
A combinatorial optimization model and polynomial time heuristic for a problem of finding specific structural patterns in networks
Efficient Density-Based Models for Multiple Machine Learning Solutions over Large Datasets
Exploring Text Decoding Methods for Portuguese Legal Text Generation
Community Detection for Multi-Label Classification
A Monte Carlo Algorithm for Time-Constrained General Game Playing
Alpha-MCMP: trade-offs between probability and cost in SSPs with the MCMP criterion
Specifying Preferences over Policies using Branching Time Temporal Logic
Logic-based Explanations for Linear Support Vector Classifiers with Reject Option
The Multi-Attribute Fairer Cover Problem
A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem
Allocating Dynamic and Finite Resources to a Set of Known Tasks
A Multi-algorithm approach to the optimization of thermal power plants operation
An incremental MaxSAT-based model to learn interpretable and balanced classification rules
d-CC Integrals: generalizing CC-integrals by restricted dissimilarity functions with applications to fuzzy-rule based systems
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction
Hierarchical Time-aware Approach for Video Summarization
Analyzing college student dropout risk prediction in real data using walk-forward validation
The artificial intelligence as a technological resource in the application of tasks for the development of joint attention in children with autism
Machine teaching: an explainable machine learning model for individualized education
BLUEX: a benchmark based on Brazilian Leading Universities Entrance eXams
Towards Generating P-Contrastive Explanations for Goal Selection in extended-BDI Agents
Applying Theory of Mind to Multi-Agent Systems: A Systematic Literature Review
A Spin-off Version of Jason for IoT and Embedded Multiagent Systems
Hybrid Multilevel Explanation: A new approach for explaining regression models
Explainability of COVID-19 Classification Models using Dimensionality Reduction of SHAP values
An explainable model to support the decision about the appropriate therapy protocol for AML
Bayes and Laplace versus the world: A new label attack approach in federated environments based on Bayesian Neural Networks
MAT-Tree: A Tree-based Method for Multiple Aspect Trajectory Clustering.
Regulation and Ethics of Facial Recognition Systems: an analysis of cases in the Court of Appeal in the State of Sô Paulo
A combinatorial optimization model and polynomial time heuristic for a problem of finding specific structural patterns in networks
Efficient Density-Based Models for Multiple Machine Learning Solutions over Large Datasets
Exploring Text Decoding Methods for Portuguese Legal Text Generation
Community Detection for Multi-Label Classification
A Monte Carlo Algorithm for Time-Constrained General Game Playing
Alpha-MCMP: trade-offs between probability and cost in SSPs with the MCMP criterion
Specifying Preferences over Policies using Branching Time Temporal Logic
Logic-based Explanations for Linear Support Vector Classifiers with Reject Option
The Multi-Attribute Fairer Cover Problem
A Custom Bio-Inspired Algorithm for the Molecular Distance Geometry Problem
Allocating Dynamic and Finite Resources to a Set of Known Tasks
A Multi-algorithm approach to the optimization of thermal power plants operation
An incremental MaxSAT-based model to learn interpretable and balanced classification rules
d-CC Integrals: generalizing CC-integrals by restricted dissimilarity functions with applications to fuzzy-rule based systems
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction
Hierarchical Time-aware Approach for Video Summarization
Analyzing college student dropout risk prediction in real data using walk-forward validation
The artificial intelligence as a technological resource in the application of tasks for the development of joint attention in children with autism
Machine teaching: an explainable machine learning model for individualized education
BLUEX: a benchmark based on Brazilian Leading Universities Entrance eXams
Towards Generating P-Contrastive Explanations for Goal Selection in extended-BDI Agents
Applying Theory of Mind to Multi-Agent Systems: A Systematic Literature Review
A Spin-off Version of Jason for IoT and Embedded Multiagent Systems
Hybrid Multilevel Explanation: A new approach for explaining regression models
Explainability of COVID-19 Classification Models using Dimensionality Reduction of SHAP values
An explainable model to support the decision about the appropriate therapy protocol for AML
Bayes and Laplace versus the world: A new label attack approach in federated environments based on Bayesian Neural Networks
MAT-Tree: A Tree-based Method for Multiple Aspect Trajectory Clustering.