yusuke1997/dblp-id-title huggingface dataset:
Rethinking Image Forgery Detection and Localization via Regression Perspective
TSK Fuzzy System Optimization for High-Dimensional Regression Problems
Unifying Global-Local Representations in Salient Object Detection With Transformers
A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification
Textual Graph Representation With Syntactic Weighting for Implicit Sentiment Analysis
Automatic Programming of VST Sound Synthesizers Using Deep Networks and Other Techniques
A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing
Cross-Modal Learning via Adversarial Loss and Covariate Shift for Enhanced Liver Segmentation
Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images
Learning Automata Based Competition Scheme to Train Deep Neural Networks
Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing
TANSA: Task Allocation Using Nomadic Soft Agents for Multirobot Systems
Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks
ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging
Data Augmentation for Radio Frequency Fingerprinting via Pseudo-Random Integration
Feature Selection Using Generalized Multi-Granulation Dominance Neighborhood Rough Set Based on Weight Partition
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification
Towards Simple and Accurate Human Pose Estimation With Stair Network
Multi-Medium Image Enhancement With Attentive Deformable Transformers
A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots
Photobomb Defusal Expert: Automatically Remove Distracting People From Photos
Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses
Unsupervised Feature Selection Using Iterative Shrinking and Expansion Algorithm
End-to-End Detection-Segmentation System for Face Labeling
Evolving Fuzzy Prediction Intervals in Nonstationary Environments
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning
Differentiable Collaborative Patches for Neural Scene Representations
MaNSGA-II: Many-Objective NSGA-II
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels
Decentralized Online Learning Methods Based on Weight-Balancing Over Time-Varying Digraphs
Person Re-Identification Based on Heterogeneous Part-Based Deep Network in Camera Networks
Sparse Graph Tensor Learning for Multi-View Spectral Clustering
Neural Network Ensemble With Evolutionary Algorithm for Highly Imbalanced Classification
Multilevel Joint Association Networks for Diverse Human Motion Prediction
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification
A Weighted Vertex Cover-Based Intensification Tabu Search for the Capacitated Dispersion Problem
Compactness Preserving Community Computation Via a Network Generative Process
V-PCC Projection Based Blind Point Cloud Quality Assessment for Compression Distortion
The Double-Accelerated Stochastic Method for Regularized Empirical Risk Minimization
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression
Multimodal Sentiment Recognition With Multi-Task Learning
RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification
Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing
Adaptive Trust Model for Multi-Agent Teaming Based on Reinforcement-Learning-Based Fusion
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process
VFFG: Verifiable Privacy-Enhanced Federated Fine-Tuning for GPT Service
Network-Based Heterogeneous Particle Swarm Optimization and Its Application in UAV Communication Coverage
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
Adversarial Attention Networks for Early Action Recognition
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
Guest Editorial: Special Issue on Emerging Computational Intelligence Techniques to Address Challenges in Biomedical Data and Imaging
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss
Impact of Strategic Sampling and Supervision Policies on Semi-Supervised Learning
Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks
CenterNet-Auto: A Multi-object Visual Detection Algorithm for Autonomous Driving Scenes Based on Improved CenterNet
A Natural Scene Recognition Learning Based on Label Correlation
$L$-Fuzzy Multiset Recognizer: Determinization and Minimization
An Intelligent Type-2 Fuzzy Stabilization of Multi-DC Nano Power Grids
Adaptive Constrained IVAMGGMM: Application to Mental Disorders Detection
Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids
Efficient Search and Lookup in Unstructured P2P Overlay Networks Inspired by Swarm Intelligence
A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks
A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems
Multi-View Adjacency-Constrained Hierarchical Clustering
Search-Based Energy Optimization of Some Ubiquitous Algorithms
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification
In Vivo Computational Strategy for Tumor Targeting in Co-Associated Biological Landscapes
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
NeuronsGym: A Hybrid Framework and Benchmark for Robot Navigation With Sim2Real Policy Learning
Node Classification in Weighted Complex Networks Using Neighborhood Feature Similarity
Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions
Generative Network Correction to Promote Incremental Learning
VFL+: Low-Coupling Vertical Federated Learning With Privileged Information Paradigm
Event-Triggered Adaptive Fuzzy PI Control of Uncertain Fractional-Order Nonlinear Systems With Full-State Constraints
Unsupervised Feature Selection via Collaborative Embedding Learning
Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization
Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception
RSCDNet: A Robust Deep Learning Architecture for Change Detection From Bi-Temporal High Resolution Remote Sensing Images
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning
Global Cross-Attention Network for Single-Sensor Multispectral Imaging
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement
Learning From Demonstrations: A Computationally Efficient Inverse Reinforcement Learning Approach With Simplified Implementation
New Shades of the Vehicle Routing Problem: Emerging Problem Formulations and Computational Intelligence Solution Methods
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps
Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games
A Comprehensive Review of Shepherding as a Bio-Inspired Swarm-Robotics Guidance Approach
Semi-Fragile Neural Network Watermarking Based on Adversarial Examples
Hierarchical Coordination Multi-Agent Reinforcement Learning With Spatio-Temporal Abstraction
Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering
Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations
A Novel Projection Neural Network for Sparse Optimization With ${L_\mathrm{{1}}}$-Minimization Problem
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images
Fuzzy-Logic-Based Integration of Web Contextual Linguistic Structures for Enriching Conceptual Visual Representations
A Robust Non-Integer Controller Design for Load Frequency Control in Modern Marine Power Grids
A Dynamic Task Allocation Method for Unmanned Aerial Vehicle Swarm Based on Wolf Pack Labor Division Model
Content-Aware Caching at the Mobile Edge Network Using Federated Learning
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures
Event Causal Relation Extraction in Brain Connectomics: A Model Utilizing Weighted Joint Constrained Learning
Gaussian Transfer Convolutional Neural Networks
SCA2: Novel Efficient Swarm Clustering Algorithm
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment
3DMM-GAN: Multi-Modal Alignment With Adversarial Learning for Compositional 3D Human Image Synthesis
CycleFusion: Automatic Annotation and Graph-to-Graph Transaction Based Cycle-Consistent Adversarial Network for Infrared and Visible Image Fusion
Furnace-Grouping Problem Modeling and Multi-Objective Optimization for Special Aluminum
The Segmentation Method of Road Surface Covering Objects Based on CBAM UNET++
Visual to Text: Survey of Image and Video Captioning
Taking Away Both Model and Data: Remember Training Data by Parameter Combinations
Computational Intelligence in Automatic Face Age Estimation: A Survey
Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale
A Fixed-Time Robust ZNN Model With Adaptive Parameters for Redundancy Resolution of Manipulators
Computational Intelligence in Music Composition: A Survey
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data
Multi-Hop Reasoning With Relation Based Node Quality Evaluation for Sparse Medical Knowledge Graph
ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data
SIDNet: Learning Shading-Aware Illumination Descriptor for Image Harmonization
Deep Gradual-Conversion and Cycle Network for Single-View Synthesis
Tensor-Based Traffic Recovery of Industrial Network by BCD-Inspired Neural Approximation to Latent Nonlinearity and Sparsity
Community Preserving Network Embedding Based on Memetic Algorithm
A Time-Varying Fuzzy Parameter Zeroing Neural Network for the Synchronization of Chaotic Systems
A Survey on Neural Network Interpretability
Light Gated Recurrent Units for Speech Recognition
Guest Editorial Special Issue on Computational Intelligence in Big Graph Data Management
Corrections to "Guest Editorial: Special Issue on Human-Machine Symbiosis"
Collaborative Neural Solution for Time-Varying Nonconvex Optimization With Noise Rejection
Prompt-Based Out-of-Distribution Intent Detection
Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons
Fine-Grained Graph Learning for Multi-View Subspace Clustering
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling
Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks
Multiplierless Implementation of Fitz-Hugh Nagumo (FHN) Modeling Using CORDIC Approach
Enhance the Performance of Network Computation by a Tunable Weighting Strategy
PurifyFL: Non-Interactive Privacy-Preserving Federated Learning Against Poisoning Attacks Based on Single Server
A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Performance Indicators Based on Adversarial Network
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method
Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow
Reconfigurable Digital FPGA Implementations for Neuromorphic Computing: A Survey on Recent Advances and Future Directions
Contrastive Learning-Based Agent Modeling for Deep Reinforcement Learning
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling
Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms
AE-Net: Appearance-Enriched Neural Network With Foreground Enhancement for Person Re-Identification
A Consensus-Based Distributed Computational Intelligence Technique for Real-Time Optimal Control in Smart Distribution Grids
Hybrid Blended Deep Learning Approach for Milk Quality Analysis
FeaMix: Feature Mix With Memory Batch Based on Self-Consistency Learning for Code Generation and Code Translation
Design and Optimisations of Metal-Oxide Artificial Synaptic Device Based Machine Learning Model
Multi-Label Feature Selection via Positive or Negative Correlation
A Novel Attention-Based Dynamic Multi-Graph Spatial-Temporal Graph Neural Network Model for Traffic Prediction
Complex-Valued Neural Networks With Nonparametric Activation Functions
KGCNA: Knowledge Graph Collaborative Neighbor Awareness Network for Recommendation
Dual-Branch Semantic Enhancement Network Joint With Iterative Self-Matching Training Strategy for Semi-Supervised Semantic Segmentation
Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data
Unsupervised MRI Super Resolution Using Deep External Learning and Guided Residual Dense Network With Multimodal Image Priors
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation
Hierarchical Encoding Method for Retinal Segmentation Evolutionary Architecture Search
ACENet: Auxiliary Context-Information Enhancement Network for RGB-D Indoor Scene Semantic Segmentation
Multi-Reference Evaluation of Dynamic Video Summaries Using Granule-Aware F-Measure
A Facile Approach To Represent Neural Network With Less Storage Space
Recognition of Sleep-Wake Stages by Deep Takagi-Sugeno-Kang Fuzzy Classifier with Random Rule Heritage
Blockchain and Computational Intelligence Inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation
Generative Model Predictive Control: Approximating MPC Law With Generative Models
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors
Estimating Depth and Global Atmospheric Light for Image Dehazing Using Type-2 Fuzzy Approach
MA-MFCNet: Mixed Attention-Based Multi-Scale Feature Calibration Network for Image Dehazing
D-FRI-Honeypot: A Secure Sting Operation for Hacking the Hackers Using Dynamic Fuzzy Rule Interpolation
Robust Low-Rank Tensor Constrained Orthogonal Symmetric Non-Negative Matrix Factorization for Multi-Layer Networks Community Detection
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data
SCGAN: Sampling and Clustering-Based Neural Architecture Search for GANs
Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model
A System-Driven Taxonomy of Attacks and Defenses in Adversarial Machine Learning
Intelligent Spectrum Resource Allocation Based on Joint Optimization in Heterogeneous Cognitive Radio
Distributed Heavy-Ball Over Time-Varying Digraphs With Barzilai-Borwein Step Sizes
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution
APR-Net Tracker: Attention Pyramidal Residual Network for Visual Object Tracking
A Continuous Neural Network Adaptive Controller for Consensus of Uncertain Multi-Agent Systems
SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection
Robust Image Hashing in Encrypted Domain
Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation
Guest Editorial: Special Issue on Emergent Topics in Artificial Immune Systems
Analysis of Oplegnathus Punctatus Body Parameters Using Underwater Stereo Vision
Soil PH Measurement Based on Compressive Sensing and Deep Image Prior
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach
CCO: A Cluster Core-Based Oversampling Technique for Improved Class-Imbalanced Learning
Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data
Semi-Supervised Contrastive Learning for Time Series Classification in Healthcare
MS-CLS: An Effective Partitioning and Placement Metaheuristic for Wafer-Scale Physics Modeling
Attributes Guided Feature Learning for Vehicle Re-Identification
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification
Guest Editorial Special Issue on Privacy and Security in Computational Intelligence
Early Time Series Anomaly Prediction With Multi-Objective Optimization
A Tunable Framework for Joint Trade-Off Between Accuracy and Multi-Norm Robustness
Exploring the Horizons of Meta-Learning in Neural Networks: A Survey of the State-of-the-Art
Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification
Discrete Multiplierless Implementation of Fractional Order Hindmarsh-Rose Model
Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation
Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement
Efficient Spectral Graph Convolutional Network Deployment on Memristive Crossbars
Automatic Microstructure Defect Detection of Ti-6Al-4V Titanium Alloy by Regions-Based Graph
Model-Data Jointly Driven Method for Airborne Particulate Matter Monitoring
EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning
Can Graph Neural Networks Go Deeper Without Over-Smoothing? Yes, With a Randomized Path Exploration!
A Novel Evolutionary Algorithm Based on Judgment-Rule Evolution Strategy for Structural Balance in Signed Social Networks
Anomaly Detection in Resource Constrained Environments With Streaming Data
A Novel Test Case Generation Approach for Adaptive Random Testing of Object-Oriented Software Using K-Means Clustering Technique
A Reduced Variable Neighbourhood Search for the Beam Angle Optimisation Problem
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis
Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism
A Deep Learning Approach to Network Intrusion Detection
StreamSoNGv2: Online Classification of Data Streams Using Growing Neural Gas
Digging the Underlying Layers of Intelligent Transportation System Networks by Mobile Crowdsourcing
Improving Exploration in Deep Reinforcement Learning for Incomplete Information Competition Environments
RSAC: A Robust Deep Reinforcement Learning Strategy for Dimensionality Perturbation
Convex-Concave Programming: An Effective Alternative for Optimizing Shallow Neural Networks
Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids
A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random
Deep COLA: A Deep COmpetitive Learning Algorithm for Future Home Energy Management Systems
Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection
Fractional-Order Echo State Network Backstepping Control of Fractional-Order Nonlinear Systems
Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial Segmentation
Simultaneously Learning Deep Quaternion Reconstruction and Noise Convolutional Dictionary for Color Image Denoising
Selective Transfer Classification Learning With Classification-Error-Based Consensus Regularization
Memetic Differential Evolution With Adaptive Niching Selection and Diversity-Driven Strategies for Multimodal Optimization
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks
An Automatic Paper-Reviewer Recommendation Algorithm Based on Depth and Breadth
AdaFML: Adaptive Federated Meta Learning With Multi-Objectives and Context-Awareness in Dynamic Heterogeneous Networks
Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments
Optimal Fuzzy Intensification System for Contrast Distorted Medical Images
Network-Based Computational Techniques to Determine the Risk Drivers of Bank Failures During a Systemic Banking Crisis
PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features
Resilient and Sustainable Tie-Line Bias Control for a Power System in Uncertain Environments
Differential Evolution With a Variable Population Size for Deployment Optimization in a UAV-Assisted IoT Data Collection System
RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis
A Game-Based Evolutionary Clustering With Historical Information Aggregation for Personal Recommendation
An Intelligent Fuzzy System Based on the Optimization of Ecological Agriculture Areas
A Surrogate-Assisted Evolutionary Algorithm for Seeking Multiple Solutions of Expensive Multimodal Optimization Problems
Brain-Inspired Spiking Neural Network Using Superconducting Devices
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions
Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach
S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization
Diffusion-Based Radiotherapy Dose Prediction Guided by Inter-Slice Aware Structure Encoding
Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets
Adaptive Non-Homogeneous Granulation-Aided Density-Based Deep Feature Clustering for Far Infrared Sign Language Images
Verifiable Privacy-Preserving Image Retrieval in Multi-Owner Multi-User Settings
AIR 5 : Five Pillars of Artificial Intelligence Research
Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks
Tactful Networking: Humans in the Communication Loop
Preference Neural Network
Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search
Enhanced Protein Secondary Structure Prediction Through Multi-View Multi-Feature Evolutionary Deep Fusion Method
Evolutionary Architectural Search for Generative Adversarial Networks
A Three-Layer Privacy Preserving Cloud Storage Scheme Based on Computational Intelligence in Fog Computing
Improving Adversarial Neural Machine Translation for Morphologically Rich Language
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning
Neural Network Training for Uncertainty Quantification Over Time-Range
A Community Division-Based Evolutionary Algorithm for Large-Scale Multi-Objective Recommendations
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting
Pharmaceutical Foreign Particle Detection: An Efficient Method Based on Adaptive Convolution and Multiscale Attention
Video Dynamics Detection Using Deep Neural Networks
Active Learning-Based Backtracking Attack Against Source Location Privacy of Cyber-Physical System
Dempster-Shafer Approach to Temporal Uncertainty
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-Sampling From a Single Image
An Evolutionary Constraint-Handling Technique for Parametric Optimization of a Cancer Immunotherapy Model
Self-Adaptive Deep Asymmetric Network for Imbalanced Recommendation
Resource Offload Consolidation Based on Deep-Reinforcement Learning Approach in Cyber-Physical Systems
A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems
Symmetric Regularized Sequential Latent Variable Models With Adversarial Neural Networks