Editorial Board
Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network
A bagging algorithm for the imputation of missing values in time series
Continuous-time reinforcement learning approach for portfolio management with time penalization
Hypotheses and their dynamics in legal argumentation
Survey of conversational agents in health
Multi-agent distributed model predictive control with fuzzy negotiation
A data sampling and attribute selection strategy for improving decision tree construction
The recommender canvas: A model for developing and documenting recommender system design
Real-value negative selection over-sampling for imbalanced data set learning
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
Face image manipulation detection based on a convolutional neural network
Framework for syntactic string similarity measures
Learning of complex event processing rules with genetic programming
SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders
Classification of potential fire outbreaks: A fuzzy modeling approach based on thermal images
An empirical comparison of classification techniques for next event prediction using business process event logs
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection
Enhanced sparse representation classifier for text classification
CNNpred: CNN-based stock market prediction using a diverse set of variables
Discriminative dictionary learning for local LV wall motion classification in cardiac MRI
A new data clustering algorithm based on critical distance methodology