Editorial Board
A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis
ArchCam: Real time expert system for suspicious behaviour detection in ATM site
A multilevel block building algorithm for fast modeling generalized separable systems
Reverse image search for scientific data within and beyond the visible spectrum
An improved semi-supervised dimensionality reduction using feature weighting: Application to sentiment analysis
Machine learning-based multi-documents sentiment-oriented summarization using linguistic treatment
Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction
Heuristics for the min–max arc crossing problem in graphs
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning
Move acceptance in local search metaheuristics for cross-domain search
A network-based classification framework for predicting treatment response of schizophrenia patients
Evolving dynamic fitness measures for genetic programming
Synthesis of event-triggered dynamic quantizers for networked control systems
Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study