Editorial Board
ETINE: Enhanced Textual Information Network Embedding
Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions
Analysis of the multi-objective release plan rescheduling problem
Latent Gaussian process for anomaly detection in categorical data
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization
Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification
A novel approach to attribute reduction based on weighted neighborhood rough sets
A stochastic configuration network based on chaotic sparrow search algorithm
Understanding the loss landscape of one-hidden-layer ReLU networks
Incremental concept cognitive learning based on three-way partial order structure
Automatic trend detection: Time-biased document clustering
A novel deep metric learning model for imbalanced fault diagnosis and toward open-set classification
Ensemble learning-based filter-centric hybrid feature selection framework for high-dimensional imbalanced data
Missed diagnoses detection by adversarial learning
An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications
Hybrid firefly algorithm with grouping attraction for constrained optimization problem
Stacking ensemble model of deep learning and its application to Persian/Arabic handwritten digits recognition
TPGN: A Time-Preference Gate Network for e-commerce purchase intention recognition
Towards effective learning for face super-resolution with shape and pose perturbations
Fuzzy Hierarchical Surrogate Assists Probabilistic Particle Swarm Optimization for expensive high dimensional problem
Deep sparse autoencoder prediction model based on adversarial learning for cross-domain recommendations
Efficient parallel computing on the game theory-aware robust influence maximization problem
A decision model for blockchain applicability into knowledge-based conversation system
Learning fused features with parallel training for person re-identification
A new multi-process collaborative architecture for time series classification
Memetic algorithm with non-smooth penalty for capacitated arc routing problem
Enhancing Transformer-based language models with commonsense representations for knowledge-driven machine comprehension
Optimized skill knowledge transfer model using hybrid Chicken Swarm plus Deer Hunting Optimization for human to robot interaction
Density based semi-automatic labeling on multi-feature representations for ground truth generation: Application to handwritten character recognition
An effective approach for the protection of user commodity viewing privacy in e-commerce website
Medical image segmentation based on active fusion-transduction of multi-stream features
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering
Conditioning of deep-learning surrogate models to image data with application to reservoir characterization
