Editorial Board & Publication Information
Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation
Differentially private random decision forests using smooth sensitivity
Optimization based on phylogram analysis
Multi-objective optimisation in inventory planning with supplier selection
Penalized nonnegative matrix tri-factorization for co-clustering
Stereo-based palmprint recognition in various 3D postures
Enhancing the reliability on data delivery and energy efficiency by combining swarm intelligence and community detection in large-scale WSNs
Rank aggregation methods dealing with ordinal uncertain preferences
A novel anomaly detection approach to identify intentional AIS on-off switching
Opinion summarization methods: Comparing and extending extractive and abstractive approaches
A parallel fuzzy clustering algorithm for large graphs using Pregel
The evaluation of data sources using multivariate entropy tools
A bibliometric-based survey on AHP and TOPSIS techniques
An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images
Alliance-based evidential reasoning approach with unknown evidence weights
A novel approach of multi-stage tracking for precise localization of target in video sequences
A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
Meaning preservation in Example-based Machine Translation with structural semantics
Mining human movement evolution for complex action recognition
A comparative study of machine learning classifiers for modeling travel mode choice
A bio-statistical mining approach for classifying multivariate clinical time series data observed at irregular intervals
Improvement of newborn screening using a fuzzy inference system
Sensing the city with Instagram: Clustering geolocated data for outlier detection
Fast marching subjected to a vector field–path planning method for mars rovers
A regression tree approach using mathematical programming
New framework that uses patterns and relations to understand terrorist behaviors
Insights from a machine learning model for predicting the hospital Length of Stay (LOS) at the time of admission
Hierarchically linked infinite hidden Markov model based trajectory analysis and semantic region retrieval in a trajectory dataset
A time-aware spatio-textual recommender system
