A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor
Identifying ground truth in opinion spam: an empirical survey based on review psychology
Boundary-connection deletion strategy based method for community detection in complex networks
Reinforcement learning algorithm for non-stationary environments
In-depth exploration of attribute information for person re-identification
Anchor-free multi-orientation text detection in natural scene images
Uniform distribution driven adaptive differential evolution
Dynamic feature selection method with minimum redundancy information for linear data
Large margin classifiers to generate synthetic data for imbalanced datasets
Solving artificial ant problem using two artificial bee colony programming versions
A new parameter reduction algorithm for interval-valued fuzzy soft sets based on Pearson’s product moment coefficient
Designing an interval type-2 fuzzy disturbance observer for a class of nonlinear systems based on modified particle swarm optimization
A multi-objective algorithm for multi-label filter feature selection problem
Capped L1-norm distance metric-based fast robust twin extreme learning machine
Incrementally updating the high average-utility patterns with pre-large concept
A novel multi-classifier based on a density-dependent quantized binary tree LSSVM and the logistic global whale optimization algorithm
Gene selection of non-small cell lung cancer data for adjuvant chemotherapy decision using cell separation algorithm
A Dynamic multi-sensor data fusion approach based on evidence theory and WOWA operator
A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning
A deceptive detection model based on topic, sentiment, and sentence structure information
Using prior knowledge in the inference of gene association networks
Modeling learner’s dynamic knowledge construction procedure and cognitive item difficulty for knowledge tracing
A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19
Transient search optimization: a new meta-heuristic optimization algorithm
Multi-objective traveling salesman problem: an ABC approach
An adaptive GP-based memetic algorithm for symbolic regression
FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information
Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines
Content-aware web robot detection
Joint label-specific features and label correlation for multi-label learning with missing label
Asynchronous framework with Reptile+ algorithm to meta learn partially observable Markov decision process
An effective multi-level synchronization clustering method based on a linear weighted Vicsek model
Data-driven multi-attribute decision-making by combining probability distributions based on compatibility and entropy
NetDAP: (δ, γ) −approximate pattern matching with length constraints
An interpretable regression approach based on bi-sparse optimization
Correction to: Facial expression recognition sensing the complexity of testing samples
