Editorial Board
Constraint handling technique based on Lebesgue measure for constrained multiobjective particle swarm optimization algorithm
A novel hybrid feature selection method considering feature interaction in neighborhood rough set
Adaptive graph-based generalized regression model for unsupervised feature selection
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity
Metric learning for novel motion rejection in high-density myoelectric pattern recognition
Discriminative information preservation: A general framework for unsupervised visual Domain Adaptation
Finger vein recognition system with template protection based on convolutional neural network
Exploiting spatio-temporal representation for 3D human action recognition from depth map sequences
Deep learning in ECG diagnosis: A review
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue
See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization
Dual-view hypergraph neural networks for attributed graph learning
Soft subspace clustering of interval-valued data with regularizations
Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks
ADCF: Attentive representation learning and deep collaborative filtering model
An Adaptive Machine Learning System for predicting recurrence of child maltreatment: A routine activity theory perspective
Kernel multi-attention neural network for knowledge graph embedding
Apparatus and methods for mouse behavior recognition on foot contact features
A robust and fast multispectral pedestrian detection deep network
A hybrid deep generative neural model for financial report generation
Global EM-driven optimization of multi-band antennas using knowledge-based inverse response-feature surrogates
An improved gravity model to identify influential nodes in complex networks based on k-shell method
A novel network with multiple attention mechanisms for aspect-level sentiment analysis
Multi-task analysis discriminative dictionary learning for one-class learning
Domain Invariant and Agnostic Adaptation
Ensemble dimension reduction based on spectral disturbance for subspace clustering
Development of Deer Hunting linked Earthworm Optimization Algorithm for solving large scale Traveling Salesman Problem
Zero-shot domain adaptation for natural language inference by projecting superficial words out
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times
CS-BPSO: Hybrid feature selection based on chi-square and binary PSO algorithm for Arabic email authorship analysis
A robust multiobjective Harris’ Hawks Optimization algorithm for the binary classification problem
Multi-modal Knowledge-aware Reinforcement Learning Network for Explainable Recommendation
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification
Multi-fidelity global optimization using a data-mining strategy for computationally intensive black-box problems
Fusion of linear base classifiers in geometric space
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification
No Free Lunch in imbalanced learning
Evolving data-adaptive support vector machines for binary classification
Image generation from text with entity information fusion
How does that name sound? Name representation learning using accent-specific speech generation
K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm
Noise label learning through label confidence statistical inference
Enhancement of a multi-dialectal sentiment analysis system by the detection of the implied sarcastic features
Deep transfer learning for conditional shift in regression
Orthogonal Nonnegative Matrix Factorization using a novel deep Autoencoder Network
Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set
Robust transfer learning based on Geometric Mean Metric Learning
Social influence minimization based on context-aware multiple influences diffusion model
Multi-source information fusion for safety risk assessment in underground tunnels
Oblique predictive clustering trees
A condense-then-select strategy for text summarization
A practical knowledge-based ranking approach to identify critical circuit breakers in large power systems
Automatic orientation detection of abstract painting
Practical and high-quality partitioning algorithm for large-scale and time-evolving graphs
Inductive and irregular dynamic network representation based on ordinary differential equations
A multi-measure feature selection algorithm for efficacious intrusion detection
Robust multiple kernel subspace clustering with block diagonal representation and low-rank consensus kernel
On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III
Word-level emotion distribution with two schemas for short text emotion classification
Sentiment Lossless Summarization
A commonsense reasoning framework for explanatory emotion attribution, generation and re-classification
Knowledge-enabled BERT for aspect-based sentiment analysis
A constrained optimization approach for cross-domain emotion distribution learning
Model order selection for approximate Boolean matrix factorization problem
MöbiusE: Knowledge Graph Embedding on Möbius Ring
