Editorial Board
Subjective data arrangement using clustering techniques for training expert systems
A Deep Active Survival Analysis approach for precision treatment recommendations: Application of prostate cancer
Emerging topic detection in twitter stream based on high utility pattern mining
A computational system based on ontologies to automate the mapping process of medical reports into structured databases
A novel and efficient data point neighborhood construction algorithm based on Apollonius circle
Missing value imputation using a novel grey based fuzzy c-means, mutual information based feature selection, and regression model
Group decision-making methods based on hesitant N-soft sets
Multi-objective multi-robot path planning in continuous environment using an enhanced genetic algorithm
Automatic driver sleepiness detection using EEG, EOG and contextual information
EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction
Balanced scorecard-based analysis about European energy investment policies: A hybrid hesitant fuzzy decision-making approach with Quality Function Deployment
Modeling human-like decision-making for inbound smart ships based on fuzzy decision trees
Quantum firefly swarms for multimodal dynamic optimization problems
Opinion leader detection: A methodological review
Evolutionary learning algorithm for reliable facility location under disruption
Combining elemental analysis of toenails and machine learning techniques as a non-invasive diagnostic tool for the robust classification of type-2 diabetes
Algorithmic sign prediction and covariate selection across eleven international stock markets
A text summarization method based on fuzzy rules and applicable to automated assessment
Vehicle engine classification using normalized tone-pitch indexing and neural computing on short remote vibration sensing data
Incremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update
Intelligent web-phishing detection and protection scheme using integrated features of Images, frames and text
Dynamic graph-based label propagation for density peaks clustering
A two-stage differential biogeography-based optimization algorithm and its performance analysis
Natural disaster topic extraction in Sina microblogging based on graph analysis
A generalized mean distance-based k-nearest neighbor classifier
A method based on the Levenshtein distance metric for the comparison of multiple movement patterns described by matrix sequences of different length
Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks
Merging plans with incomplete knowledge about actions and goals through an agent-based reputation system
A combined goal programming and inverse DEA method for target setting in mergers
A biased random-key genetic algorithm for the two-stage capacitated facility location problem
Boosting collaborative filtering with an ensemble of co-trained recommenders
A system for transformation of sentences from the enriched formalized Node of Knowledge record into relational database
A deep learning approach for real-time detection of atrial fibrillation
A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis
Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution
A new edge detection approach via neutrosophy based on maximum norm entropy
Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts
On an algorithm for human action recognition
Recommender system based on pairwise association rules
BIGOWL: Knowledge centered Big Data analytics
Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification
Seeded transfer learning for regression problems with deep learning
Detecting user attention to video segments using interval EEG features
Scent classification by K nearest neighbors using ion-mobility spectrometry measurements
A method for modelling operational risk with fuzzy cognitive maps and Bayesian belief networks
A two-phase method for multi-echelon location-routing problems in supply chains
Decision-making for financial trading: A fusion approach of machine learning and portfolio selection
A flexible transfer learning framework for Bayesian optimization with convergence guarantee
An ensemble learning approach to lip-based biometric verification, with a dynamic selection of classifiers
SURE: A method for decision-making under uncertainty
Recognizing white blood cells with local image descriptors
An integrated imputation-prediction scheme for prognostics of battery data with missing observations
