Editorial Board
To regularize or not: Revisiting SGD with simple algorithms and experimental studies
G3MD: Mining frequent opcode sub-graphs for metamorphic malware detection of existing families
Latent association rule cluster based model to extract topics for classification and recommendation applications
Integrated staff scheduling at a medical emergency service: An optimisation approach
A wavelet-based approach to emotion classification using EDA signals
Predicting process behavior meets factorization machines
Random forest for label ranking
Identifying typical approaches and errors in Prolog programming with argument-based machine learning
Fall detection without people: A simulation approach tackling video data scarcity
Brain-computer interface for workload estimation: Assessment of mental efforts in learning processes
A unified framework for detecting author spamicity by modeling review deviation
Improved grasshopper optimization algorithm using opposition-based learning
User action and facial expression recognition for error detection system in an ambient assisted environment
Model checking of timed compatibility for mediation-aided web service composition: A three stage approach
A secure blind discrete wavelet transform based watermarking scheme using two-level singular value decomposition
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures
Predicting short-term stock prices using ensemble methods and online data sources
Probabilistic frequent itemset mining over uncertain data streams
A multi-phase semi-automatic approach for multisequence brain tumor image segmentation
Resource2Vec: Linked Data distributed representations for term discovery in automatic speech recognition
Optimization approaches to support the planning and analysis of travel itineraries
Combination of learning from non-optimal demonstrations and feedbacks using inverse reinforcement learning and Bayesian policy improvement
Intelligent conversation system using multiple classification ripple down rules and conversational context
Forecasting stock market crisis events using deep and statistical machine learning techniques
A systematic mapping study on open information extraction
Corrigendum to “Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives” [Expert Systems with Applications, Vol. 107 (2018) 15-31]
Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique
