Editorial Board
GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation
A comparative study of machine learning methods for ordinal classification with absolute and relative information
Bio-inspired heuristic dynamic programming for high-precision real-time flow control in a multi-tributary river system
On improving GARCH volatility forecasts for Bitcoin via a meta-learning approach
Hierarchical diagnosis of bearing faults using branch convolutional neural network considering noise interference and variable working conditions
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes
Discovering entity inheritance relationships in document stores
Simulating real profiles for shilling attacks: A generative approach
An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand
Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients
Exploiting textual and relationship information for fine-grained financial sentiment analysis
KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation
Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data
New results on synchronization for second-order fuzzy memristive neural networks with time-varying and infinite distributed delays
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
KVL-BERT: Knowledge Enhanced Visual-and-Linguistic BERT for visual commonsense reasoning
Multi-class feature selection by exploring reliable class correlation
Finite-time stabilization of memristor-based inertial neural networks with time-varying delays combined with interval matrix method
Hierarchical Social Similarity-guided Model with Dual-mode Attention for session-based recommendation
Learning graph-level representation from local-structural distribution with Graph Neural Networks
Explainable link prediction based on multi-granularity relation-embedded representation