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Classifier Learning from Difficult Data
Soft Confusion Matrix Classifier for Stream Classification
Some proposal of the high dimensional PU learning classification procedure
Classifying Functional Data from Orthogonal Projections
model, properties and fast implementation
Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters
Exact Searching for the Smallest Deterministic Automaton
Learning Invariance in Deep Neural Networks
Mimicking learning for 1-NN classifiers
Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task
Deep Embedding Features for Action Recognition on Raw Depth Maps
Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis
Multi-objective evolutionary undersampling algorithm for imbalanced data classification
Missing value imputation method using separate features nearest neighbors algorithm
On Validity of Extreme Value Theory-Based Parametric Models for Out-of-Distribution Detection
Clustering-based Ensemble Pruning in the Imbalanced Data Classification
Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class
Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data
A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones
Analysis of Semestral Progress in Higher Technical Education with HMM Models
Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
Grid-Based Concise Hash for Solar Images
Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x
Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network
Computational Analysis of Complex Social Systems
A Model for Urban Social Networks
Three-state opinion q-voter model with bounded confidence
The evolution of political views within the model with two binary opinions
How to reach consensus? Better disagree with your neighbor
Efficient calibration of a financial agent-based model using the method of simulated moments
Computational Collective Intelligence
A Method for Improving Word Representation Using Synonym Information
Fast Approximate String Search for Wikification
ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews
A Voice-based Travel Recommendation System Using Linked Open Data
Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection
Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing
The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems
Bagging and single decision tree approaches to dispersed data
An Intelligent Social Collective with Facebook-based Communication
Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management
Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks
How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory
Computational Health
Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy
Towards cost-e
Soft Confusion Matrix Classifier for Stream Classification
Some proposal of the high dimensional PU learning classification procedure
Classifying Functional Data from Orthogonal Projections
model, properties and fast implementation
Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters
Exact Searching for the Smallest Deterministic Automaton
Learning Invariance in Deep Neural Networks
Mimicking learning for 1-NN classifiers
Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task
Deep Embedding Features for Action Recognition on Raw Depth Maps
Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis
Multi-objective evolutionary undersampling algorithm for imbalanced data classification
Missing value imputation method using separate features nearest neighbors algorithm
On Validity of Extreme Value Theory-Based Parametric Models for Out-of-Distribution Detection
Clustering-based Ensemble Pruning in the Imbalanced Data Classification
Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class
Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data
A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones
Analysis of Semestral Progress in Higher Technical Education with HMM Models
Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
Grid-Based Concise Hash for Solar Images
Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x
Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network
Computational Analysis of Complex Social Systems
A Model for Urban Social Networks
Three-state opinion q-voter model with bounded confidence
The evolution of political views within the model with two binary opinions
How to reach consensus? Better disagree with your neighbor
Efficient calibration of a financial agent-based model using the method of simulated moments
Computational Collective Intelligence
A Method for Improving Word Representation Using Synonym Information
Fast Approximate String Search for Wikification
ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews
A Voice-based Travel Recommendation System Using Linked Open Data
Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection
Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing
The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems
Bagging and single decision tree approaches to dispersed data
An Intelligent Social Collective with Facebook-based Communication
Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management
Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks
How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory
Computational Health
Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy
Towards cost-e