Editorial Board
The incremental Fourier classifier: Leveraging the discrete Fourier transform for classifying high speed data streams
Handling adversarial concept drift in streaming data
Disease spreading in complex networks: A numerical study with Principal Component Analysis
A graph based keyword extraction model using collective node weight
A novel data-driven stock price trend prediction system
Sequencing of items in personalized recommendations using multiple recommendation techniques
Categorizing paintings in art styles based on qualitative color descriptors, quantitative global features and machine learning (QArt-Learn)
Secure and robust digital image watermarking scheme using logistic and RSA encryption
Relational calculi in a deductive system
Spatio-contextual Gaussian mixture model for local change detection in underwater video
Fast incremental learning of logistic model tree using least angle regression
Market basket analysis: Complementing association rules with minimum spanning trees
Document-specific keyphrase candidate search and ranking
The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression
Multi-mode resource leveling in projects with mode-dependent generalized precedence relations
The use of machine learning algorithms in recommender systems: A systematic review
Increasing diversity in random forest learning algorithm via imprecise probabilities
Case-based reasoning for identifying knowledge leader within online community
A scenario-based modeling method for controlling ECM performance
Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning
A novel dynamic timed fuzzy Petri nets modeling method with applications to industrial processes
Biogeography-based optimization based on population competition strategy for solving the substation location problem
Design and implementation of a multibiometric system based on hand’s traits
An architecture for emergency event prediction using LSTM recurrent neural networks
Intensity population based unsupervised hemorrhage segmentation from brain CT images
A Binary Social Spider Optimization algorithm for unsupervised band selection in compressed hyperspectral images
A machine learning approach to synchronization of automata
MSIM: A change detection framework for damage assessment in natural disasters
Local homogeneous consistent safe semi-supervised clustering
Interpretable regression trees using conformal prediction
A detection framework for semantic code clones and obfuscated code
GMM posterior features for improving online handwriting recognition
