Editorial Board
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis
Interpretable machine learning with an ensemble of gradient boosting machines
Continual learning via inter-task synaptic mapping
SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications
DCLNet: Dual Closed-loop Networks for face super-resolution
Augmentation of the reconstruction performance of Fuzzy C-Means with an optimized fuzzification factor vector
A hybrid intelligent approach to detect Android Botnet using Smart Self-Adaptive Learning-based PSO-SVM
Multi-objective PSO based online feature selection for multi-label classification
Fuzzy representational structures for trend based analysis of time series clustering and classification
On the use of passing network indicators to predict football outcomes
Hybrid agent-based methodology for testing response protocols
Remote sensing image recovery via enhanced residual learning and dual-luminance scheme
DP-GMM clustering-based ensemble learning prediction methodology for dam deformation considering spatiotemporal differentiation
HITS-based attentional neural model for abstractive summarization
Recurrent generative adversarial networks for unsupervised WCE video summarization
Human action recognition approaches with video datasets—A survey
A financial ticket image intelligent recognition system based on deep learning
Risk assessment modeling for knowledge based and startup projects based on feasibility studies: A Bayesian network approach
Fuzzy logic applied to opinion mining: A review
Hydro-power production capacity prediction based on machine learning regression techniques
Hard class rectification for domain adaptation
Enhanced review-based rating prediction by exploiting aside information and user influence
Multi-scale single-stage pose detection with adaptive sample training in the classroom scene
Self-organizing deep belief modular echo state network for time series prediction
An efficient Group Skip-Connecting Network for image super-resolution
Robust online rain removal for surveillance videos with dynamic rains
A novel model for chaotic complex time series with large of data forecasting
Learning flexible network representation via anonymous walks
Ethics and privacy of artificial intelligence: Understandings from bibliometrics
Regularizing deep networks with prior knowledge: A constraint-based approach
An energy-aware resource deployment algorithm for cloud data centers based on dynamic hybrid machine learning
Causal neural fuzzy inference modeling of missing data in implicit recommendation system
Seeded random walk for multi-view semi-supervised classification
Discriminative active learning for domain adaptation
Evolutionary multitasking network reconstruction from time series with online parameter estimation
