Editorial Board
Fractional means based method for multi-oriented keyword spotting in video/scene/license plate images
A k-means based co-clustering (kCC) algorithm for sparse, high dimensional data
DCDG-EA: Dynamic convergence–diversity guided evolutionary algorithm for many-objective optimization
Applying mutual information for discretization to support the discovery of rare-unusual association rule in cerebrovascular examination dataset
Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees
Improving lexical coverage of text simplification systems for Spanish
Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging
Fuzzy classifier based on clustering with pairs of ε-hyperballs and its application to support fetal state assessment
An artificial neural network for mixed frequency data
Approximate Dantzig–Wolfe decomposition to solve a class of variational inequality problems with an illustrative application to electricity market models
TCFACO: Trust-aware collaborative filtering method based on ant colony optimization
Queuing theory guided intelligent traffic scheduling through video analysis using Dirichlet process mixture model
Ear recognition using local binary patterns: A comparative experimental study
Subjects identification using EEG-recorded imagined speech
FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding
Optimized Multi-Algorithm Voting: Increasing objectivity in clustering
T-shaped grouping: Expert finding models to agile software teams retrieval
The arms race: Adversarial search defeats entropy used to detect malware
Multi-modal matrix factorization with side information for recommending massive open online courses
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
Specifics of medical data mining for diagnosis aid: A survey
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
A local random walk model for complex networks based on discriminative feature combinations
An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural
Tree-structured multi-stage principal component analysis (TMPCA): Theory and applications
Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem
A stock market trading system based on foreign and domestic information
An image-based segmentation recommender using crowdsourcing and transfer learning for skin lesion extraction
A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity
Developing a Twitter-based traffic event detection model using deep learning architectures
Constraint guided search for aircraft sequencing
Multi-attribute decision making methods based on reference ideal theory with probabilistic hesitant information
Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning
A hybrid route planning approach for logistics with pickup and delivery
The human behaviour indicator: A measure of behavioural evolution
Optimal learning group formation: A multi-objective heuristic search strategy for enhancing inter-group homogeneity and intra-group heterogeneity
A framework for event classification in tweets based on hybrid semantic enrichment
A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer
Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test
Joint modeling of users, questions and answers for answer selection in CQA
APL: Adversarial Pairwise Learning for Recommender Systems
Fuzzy Quantile Linear Regression Model Adopted with a Semi-Parametric Technique based on Fuzzy Predictors and Fuzzy Responses
Fully automated multi-parametric brain tumour segmentation using superpixel based classification
An indoor trajectory frequent pattern mining algorithm based on vague grid sequence
A local Zernike moment-based unbiased nonlocal means fuzzy C-Means algorithm for segmentation of brain magnetic resonance images
