Editorial Board
Parallel deep prediction with covariance intersection fusion on non-stationary time series
Learning Bayesian networks based on order graph with ancestral constraints
InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification
A three-way density peak clustering method based on evidence theory
Topic sensitive hybrid expertise retrieval system in community question answering services
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems
Attentive capsule network for click-through rate and conversion rate prediction in online advertising
Probabilistic analysis of trust based decision making in hostile environments
Preaching-inspired swarm intelligence algorithm and its applications
Spatio-temporal trajectory estimation based on incomplete Wi-Fi probe data in urban rail transit network
Channel and spatial attention based deep object co-segmentation
Neural Attentive Travel package Recommendation via exploiting long-term and short-term behaviors
Structural fragmentation in scene graphs
Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis
DTDR–ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models
Multi-issue negotiation with deep reinforcement learning
Outlier-robust multi-view clustering for uncertain data
Mining non-redundant distinguishing subsequence for trip destination forecasting
A surrogate-ensemble assisted expensive many-objective optimization
AISE: Attending to Intent and Slots Explicitly for better spoken language understanding
Business process variant analysis: Survey and classification
Adaptive robust learning framework for twin support vector machine classification
Attentive Meta-graph Embedding for item Recommendation in heterogeneous information networks
A deep learning based algorithm for multi-criteria recommender systems
Using machine learning techniques for rising star prediction in basketball
Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs
BEPO: A novel binary emperor penguin optimizer for automatic feature selection
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
A novel framework for detecting social bots with deep neural networks and active learning
Evolutionary game theoretical on-line event detection over tweet streams
Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions
Deep face clustering using residual graph convolutional network
Duplex adversarial networks for multiple-source domain adaptation
Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning
