Editorial Board & Publication Information
Run-time prediction of business process indicators using evolutionary decision rules
Multidimensional surrogate stability to detect data stream concept drift
Image segmentation by combining the global and local properties
Protecting the privacy of humans in video sequences using a computer vision-based de-identification pipeline
Liquefied natural gas importing security strategy considering multi-factor: A multi-objective programming approach
Discrete symbiotic organisms search algorithm for travelling salesman problem
Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer
FRAIPA: A fast recommendation approach with improved prediction accuracy
Modelling socially-influenced conditional preferences over feature values in recommender systems based on factorised collaborative filtering
Agent-based framework to individual tracking in unconstrained environments
A soft computing approach for benign and malicious web robot detection
Fault detection and explanation through big data analysis on sensor streams
Training soft margin support vector machines by simulated annealing: A dual approach
A Machine Learning-based system for berth scheduling at bulk terminals
Partial fingerprint matching using minutiae and ridge shape features for small fingerprint scanners
Designing the Content Analyzer of a Travel Recommender System
User trends modeling for a content-based recommender system
Detecting rapid eye movement sleep using a single EEG signal channel
Intelligent driving methods based on expert knowledge and online optimization for high-speed trains
An improved grey dynamic trend incidence model with application to factors causing smog weather
Image denoising feedback framework using split Bregman approach
An adaptive portfolio trading system: A risk-return portfolio optimization using recurrent reinforcement learning with expected maximum drawdown
Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders
Improving scalability of inductive logic programming via pruning and best-effort optimisation
Sensitive deep convolutional neural network for face recognition at large standoffs with small dataset
Towards a decision-aware declarative process modeling language for knowledge-intensive processes
An optimal color image multilevel thresholding technique using grey-level co-occurrence matrix
Hybrid functional networks for oil reservoir PVT characterisation
Smart health: Big data enabled health paradigm within smart cities
Effects of MRI scanner parameters on breast cancer radiomics
