Editorial Board
Position-aware hierarchical transfer model for aspect-level sentiment classification
3DACN: 3D Augmented convolutional network for time series data
(fI,ω)-implications and distributivity of implications on L over t-representable t-norms: The case of strict and nilpotent t-norms
Data-driven software defined network attack detection : State-of-the-art and perspectives
Mildip: An energy efficient code offloading framework in mobile cloudlets
A service recommendation algorithm with the transfer learning based matrix factorization to improve cloud security
Image representation of pose-transition feature for 3D skeleton-based action recognition
Community detection based on modularity and k-plexes
Evolutionary many-objective assembly of cloud services via angle and adversarial direction driven search
H∞ leader-following consensus of nonlinear multi-agent systems under semi-Markovian switching topologies with partially unknown transition rates
Ternary reversible number-conserving cellular automata are trivial
Robust subspace clustering based on non-convex low-rank approximation and adaptive kernel
Design of an interval Type-2 fuzzy model with justifiable uncertainty
ProUM: Projection-based utility mining on sequence data
Dispatched attention with multi-task learning for nested mention recognition
CAOM: A community-based approach to tackle opinion maximization for social networks
Distributed nonlinear Kalman filter with communication protocol
An efficient variable interdependency-identification and decomposition by minimizing redundant computations for large-scale global optimization
Efficient temporal core maintenance of massive graphs
Virtual linguistic trust degree-based evidential reasoning approach and its application to emergency response assessment of railway station
Block change learning for knowledge distillation
A spatiotemporal attention mechanism-based model for multi-step citywide passenger demand prediction
A hybrid deep learning model for efficient intrusion detection in big data environment
The data richness estimation framework for federated data warehouse integration
Applying landmarks to enhance memory-based collaborative filtering
Data imbalance in classification: Experimental evaluation
Semantics-aware influence maximization in social networks
An uncertainty-aware computational trust model considering the co-existence of trust and distrust in social networks
Multi-modal medical image segmentation based on vector-valued active contour models
Stochastic incremental H∞ control for discrete-time switched systems with disturbance dependent noise
NoteSum: An integrated note summarization system by using text mining algorithms
A smart fault-detection approach with feature production and extraction processes
Adaptive robust H∞ control for double support balance systems
Robust principal component analysis: A factorization-based approach with linear complexity
Deep and broad URL feature mining for android malware detection
Multi-objective optimization for location-based and preferences-aware recommendation
