yusuke1997/dblp-id-title huggingface dataset:
An Efficient Over-sampling Approach Based on Mean Square Error Back-propagation for Dealing with the Multi-class Imbalance Problem
Convergence Analysis of Non-Negative Matrix Factorization for BSS Algorithm
A Comparison: Different DCNN Models for Intelligent Object Detection in Remote Sensing Images
TCSOM: Clustering Transactions Using Self-Organizing Map
NFU-Net: An Automated Framework for the Detection of Neurotrophic Foot Ulcer Using Deep Convolutional Neural Network
A Correlation-Redundancy Guided Evolutionary Algorithm and Its Application to High-Dimensional Feature Selection in Classification
A Soft Sensing Scheme of Gas Utilization Ratio Prediction for Blast Furnace Via Improved Extreme Learning Machine
SSPS: A Semi-Supervised Pattern Shift for Classification
CAFNET: Cross-Attention Fusion Network for Infrared and Low Illumination Visible-Light Image
Depth Enhanced Cross-Modal Cascaded Network for RGB-D Salient Object Detection
A Chaotic Feature Extracting BAM and Its Application in Implementing Memory Search
A Resource Aware MapReduce Based Parallel SVM for Large Scale Image Classifications
Online Text Prediction with Recurrent Neural Networks
Visual Sentiment Prediction with Attribute Augmentation and Multi-attention Mechanism
Finite-Time and Fixed-Time Non-chattering Control for Inertial Neural Networks with Discontinuous Activations and Proportional Delay
A Short Term Memory for Neural Networks Which Allows Recognition and Reproduction of Complex Sequences of Integers with the Minimum Number of Weights
Dental Material Detection based on Faster Regional Convolutional Neural Networks and Shape Features
Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions
Pairwise Generalization Network for Cross-Domain Image Recognition
Stability Properties of Cerebellar Neural Networks: The {P}urkinje Cell Climbing Fiber Dynamic Module
Input-to-State Stability for Stochastic Delay Neural Networks with Markovian Switching
Video Synchronization Based on Projective-Invariant Descriptor
Fast Learning Network with Parallel Layer Perceptrons
Cerebrum Tumor Segmentation of High Resolution Magnetic Resonance Images Using 2D-Convolutional Network with Skull Stripping
Finite-Time Synchronization for Coupled Heterogeneous Complex Networks via Differential Inequality Way
Concept Drift Adaptation for Time Series Anomaly Detection via Transformer
A Human Auditory Perception Loss Function Using Modified Bark Spectral Distortion for Speech Enhancement
FDNet: A Novel Image Focus Discriminative Network for Enhancing Camera Autofocus
Fixed-Time Anti-synchronization and Preassigned-Time Synchronization of Discontinuous Fuzzy Inertial Neural Networks with Bounded Distributed Time-Varying Delays
Ensemble of Independent Factor Analyzers with Application to Natural Image Analysis
Pseudo Almost Periodic Solutions for CNNs with Continuously Distributed Leakage Delays
AI Assisted Attention Mechanism for Hybrid Neural Model to Assess Online Attitudes About COVID-19
Neural Network Architecture Selection: Can Function Complexity Help?
A Lamarckian Approach for Neural Network Training
A Novel Weightless Artificial Neural Based Multi-Classifier for Complex Classifications
PBGN: Phased Bidirectional Generation Network in Text-to-Image Synthesis
An Improved Crow Search Algorithm for Test Data Generation Using Search-Based Mutation Testing
Stepanov-Like Almost Periodic Dynamics of Clifford-Valued Stochastic Fuzzy Neural Networks with Time-Varying Delays
Research on Visual Question Answering Based on GAT Relational Reasoning
Quantized Iterative Learning Bipartite Containment Tracking Control for Unknown Nonlinear Multi-agent Systems
Integrating Machine Learning Techniques in Semantic Fake News Detection
Siamese Pre-Trained Transformer Encoder for Knowledge Base Completion
An Enhanced Extreme Learning Machine Based on Square-Root Lasso Method
Gated Recurrent Fusion UNet for Depth Completion
Image Retrieval Using Multi-layer Orientation Histograms
Special Issue on Quantum Inspired Neural Networks for Engineering Optimization
An Edge-Preserving Image Denoising Framework by Adaptive Thresholding-Based DWT and Modified Deep Structured Architecture
Refocused Attention: Long Short-Term Rewards Guided Video Captioning
Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering
T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network Based on Tensor T-product Operator
An Enhancement of Generalization Ability in Cascade Correlation Algorithm by Avoidance of Overfitting/Overtraining Problem
Use of Modular Architectures for Time Series Prediction
Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning
Breaking Time Invariance: Assorted-Time Normalization for RNNs
Bifurcation Mechanisation of a Fractional-Order Neural Network with Unequal Delays
Training Artificial Neural Network with a Cultural Algorithm
Mean-field Theory and Synchronization in Random Recurrent Neural Networks
Feature Correlation Transformer for Estimating Ambiguous Optical Flow
RGBT Tracking via Multi-stage Matching Guidance and Context integration
Transformer-Based Cross-Modal Information Fusion Network for Semantic Segmentation
A New Framework for Multiscale Saliency Detection Based on Image Patches
Dynamic Optimization of Neuron Systems with Leakage Delay and Distributed Delay via Hybrid Control
The Equivalence of Support Vector Machine and Regularization Neural Networks
A neural method for geographical continuous field estimation
Saliency Transfer Learning and Central-Cropping Network for Prostate Cancer Classification
Breast Cancer Semantic Segmentation for Accurate Breast Cancer Detection with an Ensemble Deep Neural Network
Synchronization of a Class of Improved Neural Networks Based on Periodic Intermittent Control
Deep Neural Networks for Wind and Solar Energy Prediction
First-order Layer in Artificial Pain Pathway
Stability Analysis of Fractional Order Hopfield Neural Networks with Optimal Discontinuous Control
On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Sources Using Second Order Statistics
Unified and Coupled Self-Stabilizing Algorithms for Minor and Principal Eigen-pairs Extraction
Robust Mittag-Leffler Synchronization for Uncertain Fractional-Order Discontinuous Neural Networks via Non-fragile Control Strategy
A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection
Double Graph Attention Networks for Visual Semantic Navigation
A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD)
A Transformer-Based Hierarchical Hybrid Encoder Network for Semantic Segmentation
Adaptive Graph Embedding Discriminant Projections
Impulsive Synchronization of Stochastic Neural Networks via Controlling Partial States
Global Exponential Synchronization of Complex-Valued Neural Networks with Time Delays via Matrix Measure Method
A Comparison between the Tikhonov and the Bayesian Approaches to Calculate Regularisation Matrices
Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
The Epochal Sawtooth Phenomenon: Unveiling Training Loss Oscillations in Adam and Other Optimizers
An advanced Hybrid Algorithm for Engineering Design Optimization
Fuzzy SVM with a New Fuzzy Membership Function to Solve the Two-Class Problems
Visual-Motor Coordination Using a Quantum Clustering Based Neural Control Scheme
Mean Square Asymptotic Stability of Discrete-Time Fractional Order Stochastic Neural Networks with Multiple Time-Varying Delays
A Time-Series-Based Sample Amplification Model for Data Stream with Sparse Samples
Two-Stage Training of Graph Neural Networks for Graph Classification
Improved Recognition Results of Medieval Handwritten Gurmukhi Manuscripts Using Boosting and Bagging Methodologies
Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications
A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Functions
Semi-supervised Learning Algorithm Based on Linear Lie Group for Imbalanced Multi-class Classification
An Efficient Model for Forecasting Renewable Energy Using Ensemble LSTM Based Hybrid Chaotic Atom Search Optimization
An Iterative Method for Deciding SVM and Single Layer Neural Network Structures
Stacked Pyramid Attention Network for Object Detection
A Neural Network Based System for Efficient Semantic Segmentation of Radar Point Clouds
Pruning the Ensemble of ANN Based on Decision Tree Induction
3D Reconstruction of Indoor Scenes via Image Registration
Selecting the Color Space for Self-Organizing Map Based Foreground Detection in Video
Synchronization Control of Coupled Memristor-Based Neural Networks with Mixed Delays and Stochastic Perturbations
On Finite-Time Stability for Fractional-Order Neural Networks with Proportional Delays
COVID-19 Variants and Transfer Learning for the Emerging Stringency Indices
Exponential Synchronization of Complex-Valued Neural Networks Via Average Impulsive Interval Strategy
Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis
Combined Finite-Time State Feedback Design for Discrete-Time Neural Networks with Time-Varying Delays and Disturbances
Relationships Self-Learning Based Gender-Aware Age Estimation
Combining the Perceptron Algorithm with Logarithmic Simulated Annealing
Discriminative Subspace Alignment for Unsupervised Visual Domain Adaptation
Developer Activity Motivated Bug Triaging: Via Convolutional Neural Network
A Resampling Test for the Total Independence of Stationary Time Series: Application to the Performance Evaluation of ICA Algorithms
Increment Learning and Rapid Retrieval of Visual Information Based on Pattern Association Memory
Weighted Pseudo Almost Periodic Solutions for Cellular Neural Networks with Multi-proportional Delays
Detection of Drug Abuse Using Rough Set and Neural Network-Based Elevated Mathematical Predictive Modelling
A Sensitivity Analysis of the Self Organizing Maps as an Adaptive One-pass Non-stationary Clustering Algorithm: the Case of Color Quantization of Image Sequences
Tuning Parameter Selection Based on Blocked 3˟ 2 Cross-Validation for High-Dimensional Linear Regression Model
On the Design of Robust Linear Pattern Classifiers Based on M-Estimators
Neighbor-Augmented Knowledge Graph Attention Network for Recommendation
Real-Time Detection Network SI-SSD for Weak Targets in Complex Traffic Scenarios
Joint Feature Selection with Dynamic Spectral Clustering
A Complete Review on Image Denoising Techniques for Medical Images
Influence of Review Properties in the Usefulness Analysis of Consumer Reviews: A Review-Based Recommender System for Rating Prediction
Convolutional Feature Frequency Adaptive Fusion Object Detection Network
Pseudo Almost Periodic Solutions for MAMs with an Oscillating Coefficient and Distributed Delays
Progressive Transfer Learning Approach for Identifying the Leaf Type by Optimizing Network Parameters
Developmental Network: An Internal Emergent Object Feature Learning
Integral Sliding Mode Exponential Synchronization of Inertial Memristive Neural Networks with Time Varying Delays
Adaptive Evolutionary Reinforcement Learning with Policy Direction
Improving Span-Based Aspect Sentiment Triplet Extraction with Abundant Syntax Knowledge
Two Is Better Than One: A Diploid Genotype for Neural Networks
An End-to-End Heart Rate Estimation Scheme Using Divided Space-Time Attention
Self-organizing Map (SOM) Based Data Navigation for Identifying Shape Similarities of Graphic Logos
Application of Meta-learning Framework Based on Multiple-Capsule Intelligent Neural Systems in Image Classification
Augmented Online Sequential Quaternion Extreme Learning Machine
Robust Output Feedback Stabilization for Uncertain Discrete-Time Stochastic Neural Networks with Time-Varying Delay
A Entity Relation Extraction Model with Enhanced Position Attention in Food Domain
Adaptive Neural Fixed-time Sliding Mode Control of Uncertain Robotic Manipulators with Input Saturation and Prescribed Constraints
Feature Selection and Extraction Methods for Power Systems Transient Stability Assessment Employing Computational Intelligence Techniques
Segmentation and Edge Detection Based on Spiking Neural Network Model
Robust Handwritten Character Recognition with Features Inspired by Visual Ventral Stream
Stability Analysis in a Class of Markov Switched Stochastic Hopfield Neural Networks
Semantic Image Segmentation with Improved Position Attention and Feature Fusion
Quantized Neural Modeling: Hybrid Quantized Architecture in Elman Networks
A Novel Twin Support Vector Machine for Binary Classification Problems
On Impulsive Synchronization Control for Coupled Inertial Neural Networks with Pinning Control
Two Outlier-Sensitive Measures for Semi-supervised Dynamic Ensemble Anomaly Detection Models
Neural Network for Optimal {Steiner} Tree Computation
Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering
Multimodal Machine Learning for Natural Language Processing: Disambiguating Prepositional Phrase Attachments with Images
Retraction Note: A City Monitoring System Based on Real-Time Communication Interaction Module and Intelligent Visual Information Collection System
Pinning Group Consensus of Multi-agent Systems Under DoS Attacks
Data-Driven Deep Learning for The Multi-Hump Solitons and Parameters Discovery in NLS Equations with Generalized PT -Scarf-II Potentials
Discrete Analogue for a Class of Impulsive Cohen-Grossberg Neural Networks with Asynchronous Time-Varying Delays
Passivity-based Bipartite Synchronization of Coupled Delayed Inertial Neural Networks via Non-reduced Order Method
Classification and Enumeration of Linearly Separable Boolean Functions Based on Optimal Separation System
Edge Weight Updating Neural Network for Named Entity Normalization
On the Choice of Inter-Class Distance Maximization Term in Siamese Neural Networks
Hysteresis Identification Using Extended Preisach Neural Network
Hysteretic HNN MAI-Cancellation for CDMA Signals in Multipath Fading Channels
Hyperbolic Tangent-Type Variant-Parameter and Robust ZNN Solutions for Resolving Time-Variant Sylvester Equation in Preassigned-Time
Partial-Neurons-Based H ∞ State Estimation for Time-Varying Neural Networks Subject to Randomly Occurring Time Delays under Variance Constraint
Control of an Industrial PA10-7CE Robot Arm Based on Decentralized Neural Backstepping Approach
A Delay-Dependent Approach to Passivity Analysis for Uncertain Neural Networks with Time-varying Delay
Multilayer Radial Basis Function Neural Network for Symbol Timing Recovery
An Artificial Neural Network Classifier Design Based-on Variable Kernel and Non-Parametric Density Estimation
A Novel Spatio-Temporal Network of Multi-channel CNN and GCN for Human Activity Recognition Based on BAN
Locality Preserving Collaborative Representation for Face Recognition
Retraction Note: Brain Tumor Segmentation Using Deep Learning and Fuzzy K-Means Clustering for Magnetic Resonance Images
Global Optimization of Binary Quadratic Programming: A Neural Network Based Algorithm and Its FPGA Implementation
Aircraft Classification and Acoustic Impact Estimation Based on Real-Time Take-off Noise Measurements
The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis
A Modified Memory-Based Reinforcement Learning Method for Solving POMDP Problems
Correction to: Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review
Learning to Rank with Extreme Learning Machine
Modular Neuro-Chip with On-Chip Learning and Adjustable Learning Parameters
Semantically Smooth Bilingual Phrase Embeddings Based on Recursive Autoencoders
Image Deblurring Using Feedback Mechanism and Dual Gated Attention Network
Neural Model Approach to the Basic Law of Psychophysics
Energy-Guided Feature Fusion for Zero-Shot Sketch-Based Image Retrieval
Double-Key Secure for N-1-N Sound Record Data (SRD) by the Drive-Response of BAM NNs
Parameter by Parameter Algorithm for Multilayer Perceptrons
Text Retrieval Using Self Organized Document Maps
Mittag-Leffler Stability and Global Asymptotically ω -Periodicity of Fractional-Order BAM Neural Networks with Time-Varying Delays
Supervised Distance Preserving Projections
A Transfer Learning Algorithm Based on Support Vector Machine
Hierarchical Incremental Class Learning with Reduced Pattern Training
SNRNet: A Deep Learning-Based Network for Banknote Serial Number Recognition
Mini-batch Dynamic Geometric Embedding for Unsupervised Domain Adaptation
New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays
FEASE: Feature Selection and Enhancement Networks for Action Recognition
Transfusion Cost Containment for Abdominal Surgery with Neural Networks
New Criteria on Delay-Dependent Robust Stability for Uncertain Markovian Stochastic Delayed Neural Networks
A Hybrid Method Using Ensembles of Neural Network and Text Mining for Learner Satisfaction Analysis from Big Datasets in Online Learning Platform
Prediction of SO 2 Concentration Based on AR-LSTM Neural Network
Besicovitch Almost Anti-periodic Solution of Octonion-Valued Cohen-Grossberg Neural Networks with Delays on Time Scales
H ∞ Secure Consensus of Two-Time-Scale Markov Jump Multi-agent Systems with Partially Unknown Transition Rates Against Hybrid Cyber-Attacks
On the Impact of Using Utilities Rather than Costs for Graph Matching
A Neural Network Approach for Solving Optimal Control Problems with Inequality Constraints and Some Applications
Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks
On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes
3D Surface Reconstruction of Noisy Point Clouds Using Growing Neural Gas: 3D Object/Scene Reconstruction
A Support Vector Based Hybrid Forecasting Model for Chaotic Time Series: Spare Part Consumption Prediction
Discovery of Interesting Itemsets for Web Service Composition Using Hybrid Genetic Algorithm
Asymptotically Almost Automorphic Solutions for Impulsive Quaternion-Valued Neural Networks with Mixed Delays
Latent-MVCNN: 3D Shape Recognition Using Multiple Views from Pre-defined or Random Viewpoints
The Self-Organizing Map of Trees
Fuzzy Local Mean Discriminant Analysis for Dimensionality Reduction
Multi-object Tracking Method Based on Efficient Channel Attention and Switchable Atrous Convolution
PSSA: Polar Coordinate Salp Swarm Algorithm for Curve Design Problems
Conditional Variational Autoencoder Networks for Autonomous Vehicle Path Prediction
Correction to: An Energy-Aware Trust and Opportunity Based Routing Algorithm in Wireless Sensor Networks Using Multipath Routes Technique
Bifurcations Induced by Self-connection Delay in High-Order Fractional Neural Networks
On a Hopfield Net Arising in the Modelling and Control of Over-Saturated Signalized Intersections
Trajectory Association for Person Re-identification
Semi-Supervised Clustering for Financial Risk Analysis
Sequential Enhancement for Compressed Video Using Deep Convolutional Generative Adversarial Network
Pedestrian Detection Based on Light-Weighted Separable Convolution for Advanced Driver Assistance Systems
Finite-Time and Fixed-Time Synchronization of Complex Networks with Discontinuous Nodes via Quantized Control
Research on Robot Motion Planning Based on RRT Algorithm with Nonholonomic Constraints
Landslide Deformation Prediction Based on Recurrent Neural Network
Classifying Chart Based on Structural Dissimilarities using Improved Regularized Loss Function
An Effective Microscopic Detection Method for Automated Silicon-Substrate Ultra-microtome (ASUM)
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
Neuronal spatial learning
A neural network technique of generating empirical bivariate distribution functions
A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection
Mixing Approach for Text Data Augmentation Based on an Ensemble of Explainable Artificial Intelligence Methods
Robust Biometrics from Motion Wearable Sensors Using a D-vector Approach
New Results on Global Exponential Stability of Genetic Regulatory Networks with Diffusion Effect and Time-Varying Hybrid Delays
Gudermannian Neural Networks for Two-Point Nonlinear Singular Model Arising in the Thermal-Explosion Theory
Designing Efficient and Lightweight Deep Learning Models for Healthcare Analysis
Global Context-Aware Feature Extraction and Visible Feature Enhancement for Occlusion-Invariant Pedestrian Detection in Crowded Scenes
Convergence of Neutral Type Fuzzy Cellular Neural Networks with D Operator
Variance-Constrained Resilient H ∞ State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability
Vision-Aware Language Reasoning for Referring Image Segmentation
Collaborative Representation Based Discriminant Local Preserving Projection
Existence and Exponential Stability of Anti-periodic Solutions for a High-Order Delayed Cohen-Grossberg Neural Networks with Impulsive Effects
CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images
Robust Extreme Learning Machines with Different Loss Functions
Multilayer Perceptrons Combination Applied to Handwritten Character Recognition
End-to-End Trained Sparse Coding Network with Spatial Pyramid Pooling for Image Classification
Further Results on Fixed-Time Cluster Synchronization of Coupled Neural Networks
Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification
The Spatial Complexity of Inhomogeneous Multi-layer Neural Networks
Image Generation: A Review
Robust Stability in Cohen-Grossberg Neural Network with both Time-Varying and Distributed Delays
Complex Valued Deep Neural Networks for Nonlinear System Modeling
Neighborhood Correlation Analysis for Semi-paired Two-View Data
Multi-speaker DoA Estimation Using Audio and Visual Modality
A New Optimization Model for MLP Hyperparameter Tuning: Modeling and Resolution by Real-Coded Genetic Algorithm
Contrasting Explanations for Understanding and Regularizing Model Adaptations
Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex
Consensus of multi-agent systems with randomly occurring nonlinearities via uncertain pinning control under switching topologies
Reinforcement Learning Using the Stochastic Fuzzy Min-Max Neural Network
Composite Function Wavelet Neural Networks with Differential Evolution and Extreme Learning Machine
Multi-layer Representation Learning and Its Application to Electronic Health Records
Bifurcation Analysis for Simplified Five-Neuron Bidirectional Associative Memory Neural Networks with Four Delays
Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition
ReLP: Reinforcement Learning Pruning Method Based on Prior Knowledge
Capturing Temporal Structures for Video Captioning by Spatio-temporal Contexts and Channel Attention Mechanism
Automorphism Partitioning with Neural Networks
Supervised Discriminant Projection with Its Application to Face Recognition
The Exponential Synchronization and Asymptotic Synchronization of Quaternion-Valued Memristor-Based Cohen-Grossberg Neural Networks with Time-Varying Delays
Cervical Cancer Classification Using Deep Learning Approach Using Colposcopy Images
Exponential Synchronization of Complex Dynamic Networks with Time Delay and Uncertainty via Adaptive Event-Triggered Control
WACSO: Wolf Crow Search Optimizer for Convolutional Neural Network Hyperparameter Optimization
Adaptive Denoising Using a Modified Sparse Coding Shrinkage Method
Combining RBF Networks Trained by Different Clustering Techniques
Stability of Stochastic $$\theta $$ -Methods for Stochastic Delay Hopfield Neural Networks Under Regime Switching
Residual Contextual Hourglass Network for Single-Image Deraining
Multimedia Imaging Model of Information System Based on Self-Organizing Capsule Neural Network and Game Theory