A decision-support framework for data anonymization with application to machine learning processes
A finite time discrete distributed learning algorithm using stochastic configuration network
Compound adversarial examples in deep neural networks
Similarity attributed knowledge graph embedding enhancement for item recommendation
Game current-state opacity formulation in probabilistic resource automata
Attribute reduction with personalized information granularity of nearest mutual neighbors
XRRF: An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems
Profiling users and bots in Twitter through social media analysis
KDCTime: Knowledge distillation with calibration on InceptionTime for time-series classification
Finding top-K solutions for the decision-maker in multiobjective optimization
Certificateless encryption scheme with provable security in the standard model suitable for mobile devices
Fuzzy hypergraph network for recommending top-K profitable stocks
Multilayer graph contrastive clustering network
Model-based hybrid dynamic event-triggered control for systems subject to DoS attacks: A hybrid system approach
Collaborative granular sieving: A deterministic multievolutionary algorithm for multimodal optimization problems
Distributed model-free adaptive control for multi-agent systems with external disturbances and DoS attacks
Improvements on Non-Interactive Zero-Knowledge Proof Systems Related to Quadratic Residuosity Languages
Multiple kernel learning for label relation and class imbalance in multi-label learning
Causality detection with matrix-based transfer entropy
Many-objective approach based on problem-aware mutation operators for protein encoding
Individual-based self-learning prediction method for dynamic multi-objective optimization
Robust fuzzy regression functions approaches
HAPGNN: Hop-wise attentive PageRank-Based graph neural network
On the lattice of conceptual measurements
Neighborhood-based differential evolution algorithm with direction induced strategy for the large-scale combined heat and power economic dispatch problem
Double-coupling learning for multi-task data stream classification
Hierarchical graph representation learning for the prediction of drug-target binding affinity
Optimal strategies and profit allocation for three-echelon food supply chain in view of cooperative games with cycle communication structure
Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction
Hierarchical knowledge amalgamation with dual discriminative feature alignment
H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis
A benchmark generator for online dynamic single-objective and multi-objective optimization problems
Distributed adaptive fuzzy control for multi-agent systems with full state constraints and unmeasured states
Primitively visually meaningful image encryption: A new paradigm
Optimized adaptive consensus control for multi-agent systems with prescribed performance
Negative samples selecting strategy for graph contrastive learning
Three-way decision with ranking and reference tuple on information tables
GreedyFool: Multi-factor imperceptibility and its application to designing a black-box adversarial attack
Multi-view representation learning for data stream clustering
Finite-time stabilization of quaternion-valued neural networks with time delays: An implicit function method
Data-driven prediction of Air Traffic Controllers reactions to resolving conflicts.
Soft and hard hybrid balanced clustering with innovative qualitative balancing approach
Quantized output feedback for continuous-time switched systems with time-delay
Distributionally robust portfolio optimization with second-order stochastic dominance based on wasserstein metric
