Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach

Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models

Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift

Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments

Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking

Boosting scalability for large-scale multiobjective optimization via transfer weights

Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data

Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations

Exploring Color Invariance through Image-Level Ensemble Learning

Cross-Modality Perturbation Synergy Attack for Person Re-identification

Transformer-based network with temporal depthwise convolutions for sEMG recognition

Dynamic Graph-Driven Heat Diffusion: Enhancing Industrial Semantic Segmentation

Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy

Learning-Based Directional Improvement Prediction for Dynamic Multiobjective Optimization

Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations

Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance

Boosting Scalability for Large-Scale Multiobjective Optimization Via Transfer Weights

Learning to estimate optical flow using dual-frequency paradigm

Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search

Group-preserving label-specific feature selection for multi-label learning

Cross-Modality Average Precision Optimization for Visible Thermal Person Re-Identification

An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection

Learning to estimate optical flow using dual-frequency paradigm

Solving Continual Learning with Noisy Labels by Sample Selection and Replay

Dual-Stream Transformer With Distribution Alignment for Visible-Infrared Person Re-Identification

Considering spatiotemporal evolutionary information in dynamic multi-objective optimisation

A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm

Two-Layer Optimization Scheduling Algorithm for ICU Resources

Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs

An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection

WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks

Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism

Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model

Solving large-scale multiobjective optimization via the probabilistic prediction model

Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism

Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization

The design of evolutionary feature selection operator for the micro-expression recognition

Preface

Online Multiple Object Tracking Algorithm Based on Heat Map Propagation

Preface

Preface

AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem

Efficient Estimation of Time-Dependent Shortest Paths Based on Shortcuts

Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization

Smoke Segmentation based on Weakly Supervised Semantic Segmentation

A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization

Hybrid Estimation of Distribution Based on Knowledge Transfer for Flexible Job-shop Scheduling Problem

Knowledge transfer for Object Detection with Evolution architecture search

Individual-Based Transfer Learning for Dynamic Multiobjective Optimization

A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning

Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization

Evolutionary Transfer Optimization-A New Frontier in Evolutionary Computation Research

Monodirectional Tissue P Systems With Promoters

Graph-Based Class-Imbalance Learning With Label Enhancement

Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model

Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks

An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization

Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization

A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization

On the Computational Power of Asynchronous Axon Membrane Systems

A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization

Improving Deep Learning based Optical Character Recognition via Neural Architecture Search

Knee Points based Transfer Dynamic Multi-objective optimization Evolutionary Algorithm

Approach to recognizing SSVEP by combining CCA with artificial neural network

Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection

Droplet-Transmitted Infection Risk Ranking Based on Close Proximity Interaction

2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection

Multi-label feature selection via global relevance and redundancy optimization

Knee Points based Transfer Dynamic Multi-objective Optimization Evolutionary Algorithm

Improving Deep Learning based Optical Character Recognition via Neural Architecture Search

A Method for SSVEP Recognition Based on Weighted Canonical Correlation Analysis

Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning

Online Bagging for Anytime Transfer Learning

Gene Mutation Classification Using CNN and BiGRU Network

Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine

An SSVEP recognition method by combining individual template with CCA

A Many-Objective Particle Swarm Optimization Based on Virtual Pareto Front

Towards portable SSVEP-based brain-computer interface using Emotiv EPOC and mobile phone

Combing Gibbs-sampling with adaptive particle swarm for large scale global optimization

Solving dynamic multi-objective optimization problems via support vector machine

Dynamic Multi-objective Estimation of Distribution Algorithm based on Domain Adaptation and Nonparametric Estimation

Electroencephalogram-based brain-computer interface for the Chinese spelling system: a survey

Motion Generation of Multi-Legged Robot in Complex Terrains by using Estimation of Distribution Algorithm

A Parallel Workflow Pattern Modelling Using Spiking Neural P Systems with Colored Spikes

On String Languages Generated by Spiking Neural P Systems with Structural Plasticity

Towards Low-Cost P300-Based BCI Using Emotiv Epoc Headset

Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network

Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus

Social Network Rumor Diffusion Predication based on Equal Responsibility Game Model

Transfer Learning based Dynamic Multiobjective Optimization Algorithms

Spiking Neural P systems with Scheduled Synapses

Guest Editorial Special Issue on Human-Like Intelligence and Robotics

Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction

Exploiting Correlation Subspace to Predict Heterogeneous Cross-Project Defects

Advancement in the EEG-based Chinese spelling systems

Heterogeneous defect prediction via exploiting correlation subspace

An NP-complete fragment of fibring logic

A developmental approach to mobile robotic reaching

A developmental approach to robotic pointing via human-robot interaction

Integrate Classifier Diversity Evaluation to Feature Selection Based Classifier Ensemble Reduction

A Reduced Classifier Ensemble Approach to Human Gesture Classification for Robotic Chinese Handwriting

Robotic Free Writing of Chinese Characters via Human-Robot Interactions

An Infant Development-inspired Approach to Robot Hand-eye Coordination

Improving Machine Vision via Incorporating Expectation-Maximization into Deep Spatio-Temporal Learning

Learning robotic hand-eye coordination through a developmental constraint driven approach

OpenPsi: A novel computational affective model and its application in video games

A Connectionist Model for 2-Dimensional Modal Logic

A human-like learning approach to developmental robotic reaching

Dynamics of a computational affective model inspired by D枚rner's PSI theory

Fuzzy neural network based dynamic path planning

Graded BDI models for agent architectures based on Lukasiewicz logic and propositional dynamic logic

An Algorithm for Computing Attribute Reducts Based on Graph Search Strategy

A Developmental Approach to Robotic 3D Hand-Eye Coordination

Integration of Brain-like Computational Structure and Infant Behaviorial Pattern for Robotic Hand-eye Coordination

A Developmental Constraint Driven Approach to Developmental Robotic Hand-eye Coordination

A hybrid approach for chinese word similarity computing based on hownet

Robotic 3D Reaching through a Development-Driven Double Neural Network Architecture

Embodied concept formation and reasoning via neural-symbolic integration

Uncertain formal concept based on 3-valued lukasiewicz logic

Reasoning on constrained epistemic default logic

B method based framework for correct software development

The China-brain project report on the first six months

A CSP-based approach for solving parity game

Interpretation, transformation and model checking of semi-formal diagram notations

Concerning about trust of platform hardware

Task-based language teaching: From the practical perspective