Editorial Board
GLIMG: Global and local item graphs for top-N recommender systems
Item-side ranking regularized distillation for recommender system
Facial expression recognition with grid-wise attention and visual transformer
Optimized data manipulation methods for intensive hesitant fuzzy set with applications to decision making
Inconsistency guided robust attribute reduction
The breaking of additively reciprocal property of fuzzy preference relations and its implication to decision making under uncertainty
Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels
Supporting features updating of apps by analyzing similar products in App stores
Risk spillover network structure learning for correlated financial assets: A directed acyclic graph approach
Using M-ary decomposition and virtual bits for visually meaningful image encryption
A rank-based framework through manifold learning for improved clustering tasks
OCEAn: Ordinal classification with an ensemble approach
Mean square exponential stability of discrete-time Markov switched stochastic neural networks with partially unstable subsystems and mixed delays
Improving the performance of bagging ensembles for data streams through mini-batching
Axiomatic characterizations of L-valued rough sets using a single axiom
Gradient temporal-difference learning for off-policy evaluation using emphatic weightings
A new prediction strategy for dynamic multi-objective optimization using Gaussian Mixture Model
Rumor knowledge embedding based data augmentation for imbalanced rumor detection
PD control of positive interval continuous-time systems with time-varying delay
Learning decomposed hierarchical feature for better transferability of deep models
An improved belief structure satisfaction to uncertain target values by considering the overlapping degree between events
Conflicting evidence combination from the perspective of networks
Modeling and control of heterogeneous field robots under partial observation
Type-based outlier removal framework for point clouds
A generic Bayesian-based framework for enhancing top-N recommender algorithms
Deep truth discovery for pattern-based fact extraction
Multi-view group representation learning for location-aware group recommendation
JKT: A joint graph convolutional network based Deep Knowledge Tracing
SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security
New uncertainty measurement for categorical data based on fuzzy information structures: An application in attribute reduction
Real time surveillance for low resolution and limited data scenarios: An image set classification approach
An instance-oriented performance measure for classification
An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints
Dissipativity analysis for singular Markovian jump systems with time-varying delays via improved state decomposition technique
A graph-based approach for positive and unlabeled learning
Type inference for hierarchical multiset structures in rule-based systems
On using dynamic programming for time warping in pattern recognition
Novel survival functions based on conditional aggregation operators
Adaptively and spatially constrained dual-level trimap generation from sparse inputs
Online multi-criteria portfolio analysis through compromise programming models built on the underlying principles of fuzzy outranking
Sliding-mode surface-based adaptive actor-critic optimal control for switched nonlinear systems with average dwell time
Finite-time passivity and synchronization of coupled complex-valued memristive neural networks
Kernelized distance learning for zero-shot recognition
Outlier detection from multiple data sources
Atomic cross-chain settlement model for central banks digital currency
Modeling and analysis of rumor propagation in social networks
Evolutionary multi-task optimization with hybrid knowledge transfer strategy
An approach for enforcing a class of GMECs on time Petri nets with uncontrollable transitions
Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network
Investigation on stability of delayed T-S fuzzy interconnected systems via decentralized memory-based sampled-data control and validation through interconnected power systems with DFIG-based wind turbines
