An efficient approach for mining weighted uncertain interesting patterns
A reinforcement learning approach for single redundant view co-training text classification
Three-way reduction for formal decision contexts
Dynamic consensus of large group emergency decision-making under dual-trust relationship-based social network
Building siamese attention-augmented recurrent convolutional neural networks for document similarity scoring
A new algorithm for computing priority vector of pairwise comparisons matrix with fuzzy elements
Protocol-based fault detection for discrete-time memristive neural networks with quantization effect
Adversarially regularized joint structured clustering network
An improved decision tree algorithm based on variable precision neighborhood similarity
Differential privacy protection scheme based on community density aggregation and matrix perturbation
Value function factorization with dynamic weighting for deep multi-agent reinforcement learning
One-step incomplete multiview clustering with low-rank tensor graph learning
Surrogate ensemble assisted large-scale expensive optimization with random grouping
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
Variable precision multi-granulation composite rough sets with multi-decision and their applications to medical diagnosis
A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization
Recursive filtering for complex networks with time-correlated fading channels: An outlier-resistant approach
A linear algorithm for semi-external cutnode computation
Feature selection for label distribution learning using dual-similarity based neighborhood fuzzy entropy
OM-TCN: A dynamic and agile opponent modeling approach for competitive games
A constrained multiobjective evolutionary algorithm with the two-archive weak cooperation
An enhanced kernel learning data-driven method for multiple fault detection and identification in industrial systems
A hybrid feature selection approach for Microarray datasets using graph theoretic-based method
LESSL: Can LEGO sampling and collaborative optimization contribute to self-supervised learning?
A fuzzy integral sliding-mode parallel control approach for nonlinear descriptor systems
Development of prospect theory in decision making with different types of fuzzy sets: A state-of-the-art literature review
Integrating the sentiments of multiple news providers for stock market index movement prediction: A deep learning approach based on evidential reasoning rule
A dual-population and multi-stage based constrained multi-objective evolutionary
Synchronous solution of the parity problem on cyclic configurations, with elementary cellular automaton rule 150, over a family of directed, non-circulant, regular graphs
Improved spherical search with local distribution induced self-adaptation for hard non-convex optimization with and without constraints
Mining relevant partial periodic pattern of multi-source time series data
In-context annotation of topic-oriented datasets of fake news: A case study on the notre-dame fire event
Empirical prior based probabilistic inference neural network for policy learning
A multistage decision-making method with quantum-guided expert state transition based on normal cloud models
Interval order relationships based on automorphisms and their application to interval optimization
Distributed optimization in predefined-time for multi-agent systems over a directed network
