yusuke1997/dblp-id-title huggingface dataset:
State Estimation for Markovian Coupled Neural Networks with Multiple Time Delays Via Event-Triggered Mechanism
A Novel Model Predictive Runge-Kutta Neural Network Controller for Nonlinear MIMO Systems
Super-Resolution Based Automatic Diagnosis of Retinal Disease Detection for Clinical Applications
Extracting Classification Rules from Artificial Neural Network Trained with Discretized Inputs
Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane
A Symmetric Probabilistic Encryption Scheme Based On CHNN Without Data Expansion
Person Re-Identification Based on Graph Relation Learning
A Neural Network-Based Poisson Solver for Fluid Simulation
A Safe Semi-supervised Classification Algorithm Using Multiple Classifiers Ensemble
Cluster Synchronization in a Heterogeneous Network with Mixed Coupling via Event-Triggered and Optimizing Pinning control
Exponential Synchronization of Stochastic Memristive Neural Networks with Time-Varying Delays
Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction
New Routes from Minimal Approximation Error to Principal Components
A Hybrid Training Algorithm for Feedforward Neural Networks
A Novel BSO Algorithm for Three-Layer Neural Network Optimization Applied to UAV Edge Control
Perceptual Monocular Depth Estimation
Correction to: Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems
Pseudo S-Asymptotically ømega-Antiperiodic Solutions for SICNNs with Mixed Delays
Semi-supervised Multi-view Clustering Based on Non-negative Matrix Factorization and Low-Rank Tensor Representation
Real-Time Lossy Audio Signal Reconstruction Using Novel Sliding Based Multi-instance Linear Regression/Random Forest and Enhanced CGPANN
Scale-Insensitive Object Detection via Attention Feature Pyramid Transformer Network
Constraints Satisfaction through Recursive Neural Networks with Mixed Penalties: a Case Study
Fixed-Time Pinning Synchronization of Intermittently Coupled Complex Network via Economical Controller
Out-of-Vocabulary Rejection based on Selective Attention Model
Weight Initialization for Simultaneous Recurrent Neural Network Trained with a Fixed point Learning Algorithm
Improved MS_CMAC Neural Networks by Integrating a Simplified UFN Model
Multi-information Constraint Learning for Unsupervised Domain Adaptive Person Re-identification
Approximate Feedback Linearisation Using Multilayer Neural Networks
Named Entity Recognition by Using XLNet-BiLSTM-CRF
Learning Robust Weighted Group Sparse Graph for Discriminant Visual Analysis
Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data
Enhancing and Relaxing Competitive Units for Feature Discovery
Finite-time Stability of Fractional-order Complex-valued Neural Networks with Time Delays
FCPFNet: Feature Complementation Network with Pyramid Fusion for Semantic Segmentation
Simplification of English and Bengali Sentences for Improving Quality of Machine Translation
Semi-supervised One-Pass Multi-view Learning with Variable Features and Views
Advanced Image Processing Techniques for Ultrasound Images using Multiscale Self Attention CNN
Extended Dissipative Synchronization of Reaction-Diffusion Genetic Regulatory Networks Based on Sampled-data Control
Adaptive Prompt Learning-Based Few-Shot Sentiment Analysis
Consensus Affinity Graph Learning via Structure Graph Fusion and Block Diagonal Representation for Multiview Clustering
Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications
Super-Resolution Reconstruction of Single Image Combining Bionic Eagle-Eye and Multi-scale
Enhancing Face Recognition from Massive Weakly Labeled Data of New Domains
Passivity and Synchronization of Coupled Reaction-Diffusion Cohen-Grossberg Neural Networks with Fixed and Switching Topologies
Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
Research on Solving Flexible Job Shop Scheduling Problem Based on Improved GWO Algorithm SS-GWO
Constrained Self Organizing Maps for Data Clusters Visualization
Synchronization for Nonlinear Complex Spatio-Temporal Networks with Multiple Time-Invariant Delays and Multiple Time-Varying Delays
ℋ ∞ Synchronization and Robust ℋ ∞ Synchronization of Coupled Neural Networks with Non-identical Nodes
Online State-Space Modeling Using Recurrent Multilayer Perceptrons with Unscented Kalman Filter
Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition
Dunhuang Mural Line Drawing Based on Multi-scale Feature Fusion and Sharp Edge Learning
Synchronization of Discrete-Time Switched 2-D Systems with Markovian Topology via Fault Quantized Output Control
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization
IGJO: An Improved Golden Jackel Optimization Algorithm Using Local Escaping Operator for Feature Selection Problems
Kernel Optimization for Reducing Core Vector Machine Classification Error
Precise Correspondence Enhanced GAN for Person Image Generation
A New Weight Initialization Method for the MLP with the BP in Multiclass Classification Problems
Time Series Prediction Method Based on Variant LSTM Recurrent Neural Network
Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression
Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics
Generalized Twin Support Vector Machines
Large-Scale Clustering on 100 M-Scale Datasets Using a Single T4 GPU via Recall KNN and Subgraph Segmentation
Fast Pedestrian Detection Based on the Selective Window Differential Filter
Energy Aware Optimal Virtual Machine Scheduling in Cloud Environment Using Hybridized Egret Swarm with Sea Lion Optimization Algorithm
Switching-Like Event-Triggered State Estimation for Reaction-Diffusion Neural Networks Against DoS Attacks
A Stochastic Neural Model for Fast Identification of Spatiotemporal Sequences
Content-Aware Summarization of Broadcast Sports Videos: An Audio-Visual Feature Extraction Approach
Improved SMOTE Algorithm to Deal with Imbalanced Activity Classes in Smart Homes
A New Method for Separating EMI Signal Based on CEEMDAN and ICA
ROCM: A Rolling Iteration Clustering Model Via Extracting Data Features
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
Face Detection Using Mixture of MLP Experts
Graph Neural Network for Context-Aware Recommendation
Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously
First-Order Sensitivity Analysis for Hidden Neuron Selection in Layer-Wise Training of Networks
Stable Neural Attractors Formation: Learning Rules and Network Dynamics
Classification of Alzheimer's Disease Using Deep Convolutional Spiking Neural Network
An Interpretive Adversarial Attack Method: Attacking Softmax Gradient Layer-Wise Relevance Propagation Based on Cosine Similarity Constraint and TS-Invariant
Extraction of Product Evaluation Factors with a Convolutional Neural Network and Transfer Learning
Automatic Model Selection by Cross-Validation for Probabilistic PCA
Mixed Radial Basis Function Neural Network Training Using Genetic Algorithm
Pseudo Almost Periodic Solutions for SICNNs with Oscillating Leakage Coefficients and Complex Deviating Arguments
Retraction Note: Application of Meta-Learning Framework Based on Multiple-Capsule Intelligent Neural Systems in Image Classification
Hierarchical Parallel Genetic Optimization Fuzzy ARTMAP Ensemble
Proposal-Based Graph Attention Networks for Workflow Detection
Time Analysis in Human Activity Recognition
Neural Network for a Novel Disturbance Optimal Control Model for Inventory and Production Planning in a Four-Echelon Supply Chain with Reverse Logistic
Semi-supervised Fuzzy Min-Max Neural Network for Data Classification
Weighted Channel-Wise Decomposed Convolutional Neural Networks
A Family of Canonical Correlation Networks
Analysis of a Plurality Voting-based Combination of Classifiers
RETRACTED ARTICLE: Recurrent Neural Network for Genome Sequencing for Personalized Cancer Treatment in Precision Healthcare
Recursive Particle Filter-Based RBF Network on Time Series Prediction of Measurement Data
ADCB: Adaptive Dynamic Clustering of Bandits for Online Recommendation System
Stability Analysis of Distributed Fusion Estimation Algorithm for Complex Networked Systems
Detection-Oriented Backbone Trained from Near Scratch and Local Feature Refinement for Small Object Detection
Ensemble Multiple-Kernel Based Manifold Regularization
Global Asymptotic Stability of Fuzzy Cellular Neural Networks with Unbounded Distributed Delays
Parallel Chaos Search Based Incremental Extreme Learning Machine
Eye Tracking in Image Sequences by Competitive Neural Networks
Scalable Affine Multi-view Subspace Clustering
Classification of Gait Patterns Using Kinematic and Kinetic Features, Gait Dynamics and Neural Networks in Patients with Unilateral Anterior Cruciate Ligament Deficiency
Formal Derivation of Mesh Neural Networks with Their Forward-Only Gradient Propagation
Robust Passivity and Stability Analysis of Uncertain Complex-Valued Impulsive Neural Networks with Time-Varying Delays
RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets
Hopf Bifurcation Analysis of a Delayed Fractional BAM Neural Network Model with Incommensurate Orders
CNN-EFF: CNN Based Edge Feature Fusion in Semantic Image Labelling and Parsing
Knowledge Reverse Distillation Based Confidence Calibration for Deep Neural Networks
Distributed Multi-Feature Recognition Scheme for Greyscale Images
State Estimation for Genetic Regulatory Networks with Two Delay Components by Using Second-Order Reciprocally Convex Approach
Application of the Self-Organizing Feature Map Algorithm in Facial Image Morphing
Learning Unoccluded Face Texture Completion from Single Image in the Wild
COMAX: A Cooperative Method for Determining the Position of the Maxima
Measuring Distribution in Distributed Representations
Weakly Supervised Segmentation Loss Based on Graph Cuts and Superpixel Algorithm
Bifurcation Mechanism for Fractional-Order Three-Triangle Multi-delayed Neural Networks
Spatial Rough Intuitionistic Fuzzy C-Means Clustering for MRI Segmentation
The Boundedness and the Global Mittag-Leffler Synchronization of Fractional-Order Inertial Cohen-Grossberg Neural Networks with Time Delays
Complexity Pursuit for Unifying Model
A Dialogues Summarization Algorithm Based on Multi-task Learning
CBR: An Effective Clustering Approach for Time Series Events
Modified Newton Integration Neural Algorithm for Solving Time-Varying Yang-Baxter-Like Matrix Equation
A Statistical Test Based Separability Measure for Internal Cluster Validation
Navigation Satellite Clock Error Prediction Based on Functional Network
Attention Refined Network for Human Pose Estimation
Progressive Adversarial Learning for Multi-target Domain Adaptation
CFDepthNet: Monocular Depth Estimation Introducing Coordinate Attention and Texture Features
SFCC: Data Augmentation with Stratified Fourier Coefficients Combination for Time Series Classification
Feature detectors by autoencoders: Decomposition of input patterns into atomic features by neural networks
A Novel GMFO-Based Identification Method for MIMO Hammerstein Model with Heavy-Tailed Noise
Stronger Heterogeneous Feature Learning for Visible-Infrared Person Re-Identification
Deep Learning-based Pathological Image Analysis Algorithm for Early Diagnosis of Breast Cancer
Hyperconic Multilayer Perceptron
Multi-view Clustering Based on Low-rank Representation and Adaptive Graph Learning
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams
A Variance-Constrained Method to Protocol-Based H ∞ State Estimation for Delayed Neural Networks with Randomly Occurring Sensor Nonlinearity
Gradient Computation of Continuous Time Cellular Neural Nonlinear Networks with Linear Templates via the CNN Universal Machine
Method of Rain Attenuation Prediction Based on Long-Short Term Memory Network
Bipartite Consensus in Multi-agent Systems: A Node Decomposition Approach for Privacy Preservation
BSS Method Based on Wavelet Transform and Improved EASI Algorithm and Its Application in EMI
Memcomputing Implementation of Ant Colony Optimization
Validation of Nonlinear PCA
A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics
Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection
Passivity Analysis of Delayed Neural Networks with Discontinuous Activations
A Natural Threshold Model for Ordinal Regression
A Neurodynamic Approach for Solving Robust Linear Programming under the Polyhedral Uncertainty Set
A Metaphor Comprehension Method Based on Culture-Related Hierarchical Semantic Model
Complete Convergence of Competitive Neural Networks with Different Time Scales
Parameter Control Based Cuckoo Search Algorithm for Numerical Optimization
Second Order Training of a Smoothed Piecewise Linear Network
New Results for Prediction of Chaotic Systems Using Deep Recurrent Neural Networks
A Fast Algorithm for Convolutional Neural Networks Using Tile-based Fast Fourier Transforms
Fine Tuning Dual Streams Deep Network with Multi-scale Pyramid Decision for Heterogeneous Face Recognition
Co-training for Implicit Discourse Relation Recognition Based on Manual and Distributed Features
Simultaneous Learning of Nonlinear Manifolds Based on the Bottleneck Neural Network
Learning Topographic Representations of Nature Images with Pairwise Cumulant
Convergence of Batch Gradient Method for Training of Pi-Sigma Neural Network with Regularizer and Adaptive Momentum Term
Evolutionary Based Weight Decaying Method for Neural Network Training
Tweet Retweet Prediction Based on Deep Multitask Learning
Understanding More Types of Social Relationships Using Clothing and Distance Metric Learning
An Improved VGG Model for Skin Cancer Detection
Asynchronous Event-based Cooperative Stereo Matching Using Neuromorphic Silicon Retinas
An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization
A Two-Stage Bayesian Integration Framework for Salient Object Detection on Light Field
Global Mittag-Leffler Synchronization for Fractional-Order BAM Neural Networks with Impulses and Multiple Variable Delays via Delayed-Feedback Control Strategy
Why Does Regularization Help with Mitigating Poisoning Attacks?
Global Dissipative Examination of Delayed Memristive Inertial Neural Networks with Uncertain Parameters
Extreme Learning Machine Combining Hidden-Layer Feature Weighting and Batch Training for Classification
Deep Embedding Clustering Based on Residual Autoencoder
Real-Time Traffic Sign Detection Based on Weighted Attention and Model Refinement
Neural learning of chaotic dynamics
Detection Method of Manipulator Grasp Pose Based on RGB-D Image
Graph Based Semi-Supervised Learning via Structure Preserving Low-Rank Representation
Combining Embeddings of Input Data for Text Classification
Learning Target Point Seeking Weights Spatial-Temporal Regularized Correlation Filters for Visual Tracking
Blind Source Recovery in a State-Space Famework: Algorithms for Static and Dynamic Environments
GSA4FDA: Deep Geometric and Statistic Alignment for Fewer Labeled Domain Adaptation
A Least Third-Order Cumulants Objective Function
LocalBoost: A Parallelizable Approach to Boosting Classifiers
Extreme Learning Machines for Feature Selection and Classification of Cocaine Dependent Patients on Structural MRI Data
A Practical Sequential Method for Principal Component Analysis
The LBG-U Method for Vector Quantization - an Improvement over LBG Inspired from Neural Networks
Attention-Based Generative Adversarial Network for Semi-supervised Image Classification
Semi-supervised Learning with Graph Convolutional Networks Based on Hypergraph
Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming
Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition
Learning with Permutably Homogeneous Multiple-Valued Multiple-Threshold Perceptrons
Evolving Fuzzy Min-Max Neural Network Based Decision Trees for Data Stream Classification
Spatio-Temporal Learning for Video Deblurring based on Two-Stream Generative Adversarial Network
Stabilization of Semi-Markovian Jumping Uncertain Complex-Valued Networks with Time-Varying Delay: A Sliding-Mode Control Approach
Parallel Coarse Grain Computing of Boltzmann Machines
Delay-Dependent Exponential Synchronization of Recurrent Neural Networks with Multiple Proportional Delays
A Deep Learning Approach for Paragraph-Level Paraphrase Generation for Plagiarism Detection
A Strip Dilated Convolutional Network for Semantic Segmentation
Numerical Solution of Fractional Order Advection Reaction Diffusion Equation with Fibonacci Neural Network
The Minimum Number of Errors in the N-Parity and its Solution with an Incremental Neural Network
Real-World Semantic Grasp Detection Using Ontology Features: Learning to Concentrate on Object Features
Global Mittag-Leffler Boundedness for Fractional-Order Complex-Valued Cohen-Grossberg Neural Networks
Nonlinear Neural Network Based Forecasting Model for Predicting COVID-19 Cases
A Generalized Ellipsoidal Basis Function Based Online Self-constructing Fuzzy Neural Network
Lagrange Stability of BAM Quaternion-Valued Inertial Neural Networks via Auxiliary Function-Based Integral Inequalities
Reference Curves Estimation Using Conditional Quantile and Radial Basis Function Network with Mass Constraint
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks
Quasi-Synchronization for Fractional-Order Reaction-Diffusion Quaternion-Valued Neural Networks: An LMI Approach
Real-Time Attitude Estimation by Using Parallax Observation System
Further Results on Mean-Square Exponential Input-to-State Stability of Stochastic Delayed Cohen-Grossberg Neural Networks
A New Multi-output Neural Model with Tunable Activation Function and its Applications
Robust Affine Subspace Clustering via Smoothed ℓ 0 -Norm
Predicting Depression in Older Adults: A Novel Feature Selection and Neural Network Framework
Adaptive Finite-Time Synchronization of Neutral Type Dynamical Network with Double Derivative Coupling
Time Series, Spectral Densities and Robust Functional Clustering
Stability Analysis of Anti-periodic Neutral Type SICNNs with D Operator
Novel Neuronal Activation Functions for Feedforward Neural Networks
Network Connectivity Changes through Activity-Dependent Neurite Outgrowth
Synchronization and Quasi-Synchronization of Delayed Fractional Coupled Memristive Neural Networks
Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus
Data-Based Online Optimal Temperature Tracking Control in Continuous Microwave Heating System by Adaptive Dynamic Programming
On Non-Uniform Rational B-Splines Surface Neural Networks
$$\hbox {U}^2\hbox {F}^2\hbox {S}^2$$ U 2 F 2 S 2 : Uncovering Feature-level Similarities for Unsupervised Feature Selection
Effects of Boletus Poisoning on Estrogen Receptors and Neurotransmitters in Rats Based on ERk1/2 Pathway
Discriminative Probabilistic Latent Semantic Analysis with Application to Single Sample Face Recognition
Neural Generalization of Multiple Kernel Learning
A Novel Boundary-Guided Global Feature Fusion Module for Instance Segmentation
Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting
Boundedness and Convergence of Split-Complex Back-Propagation Algorithm with Momentum and Penalty
Normalized Attention Inter-Channel Pooling (NAIP) for Deep Convolutional Neural Network Regularization
A L-BFGS Based Learning Algorithm for Complex-Valued Feedforward Neural Networks
H infinity Control Design Using Dynamic Neural Networks
Mixed Entropy Model Enhanced Residual Attention Network for Remote Sensing Image Compression
A Simplified Architecture of the Zhang Neural Network for Toeplitz Linear Systems Solving
A Greedy EM Algorithm for Gaussian Mixture Learning
Real Time Air-Written Mathematical Expression Recognition for Children's Enhanced Learning
Radical and Stroke-Enhanced Chinese Word Embeddings Based on Neural Networks
FTUNet: A Feature-Enhanced Network for Medical Image Segmentation Based on the Combination of U-Shaped Network and Vision Transformer
Conv-Attention: A Low Computation Attention Calculation Method for Swin Transformer
Complementary Shifted Transformer for Image Captioning
Improved Unsupervised Neural Machine Translation with Semantically Weighted Back Translation for Morphologically Rich and Low Resource Languages
Intuitionistic Fuzzy Extreme Learning Machine with the Truncated Pinball Loss
Global Convergence on Asymptotically Almost Periodic SICNNs with Nonlinear Decay Functions
Higher-Order ZNN Dynamics
Lights, Camera, Adversary: Decoding the Enigmatic World of Malicious Frames in Real-Time Video Surveillance Systems
Automatic Detection of Drowsiness in EEG Records Based on Machine Learning Approaches
Extended H ∞ Synchronization Control for Switched Neural Networks with Multi Quantization Densities Based on a Persistent Dwell-Time Approach
Off-Policy: Model-Free Optimal Synchronization Control for Complex Dynamical Networks
Underwater Backscatter Recognition Using Deep Fuzzy Extreme Convolutional Neural Network Optimized via Hunger Games Search
Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction
Merging Strategy for Cross-Lingual Information Retrieval Systems based on Learning Vector Quantization
An Improved Mean Imputation Clustering Algorithm for Incomplete Data
Tensor Locality Preserving Sparse Projection for Image Feature Extraction
Long-Short-Term Memory Based on Adaptive Convolutional Network for Time Series Classification
Improved Output Tracking of a Flexible-Joint Arm using Neural Networks
Sample Based Fast Adversarial Attack Method
New Results on Impulsive Cohen-Grossberg Neural Networks
Cross-Modal Saliency Correlation for Image Annotation
SATFace: Subject Agnostic Talking Face Generation with Natural Head Movement
Competitive Cross-Entropy Loss: A Study on Training Single-Layer Neural Networks for Solving Nonlinearly Separable Classification Problems
New Insights on Bidirectional Associative Memory Neural Networks with Leakage Delay Components and Time-Varying Delays Using Sampled-Data Control
Self Organizing Dynamic Graphs
ECTTLNER: An Effective Cross-Task Transferring Learning Method for Low-Resource Named Entity Recognition
Generalizations of the Hamming Associative Memory
A Smoothing Algorithm with Constant Learning Rate for Training Two Kinds of Fuzzy Neural Networks and Its Convergence
Globally Convergent Modification of the Quickprop Method
Attention-Guided Multi-Clue Mining Network for Person Re-identification
Osteosarcoma Detection from Whole Slide Images Using Multi-Feature Non-Seed-Based Region Growing Segmentation and Feature Extraction
Almost Automorphic Solutions of Impulsive Cellular Neural Networks with Piecewise Constant Argument
An Effective Feature Extraction Approach Based on Spectral-Gabor Space Discriminant Analysis for Hyperspectral Image
Emergence of Orienting Behavior in Ecological Neural Networks
AI-Based Self-Learning System in Distributed Structural Health Monitoring and Control
Bipartite Synchronization of Fractional Order Multiple Memristor Coupled Delayed Neural Networks with Event Triggered Pinning Control
Hierarchical Dialog State Tracking with Unknown Slot Values
Stochastic Processes and Neuronal Modelling: Quantum Harmonic Oscillator Dynamics in Neural Structures
Aspect-Based Sentiment Analysis Using Adversarial BERT with Capsule Networks
A Euclidean Distance-Based Novel Algorithm for Binary Feature Selection
Fixed-time Synchronization of Caputo/Conformable Fractional-Order Inertial Cohen-Grossberg Neural Networks via Event-triggered One/Two-phase Hybrid Impulsive Control
Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design
Finite-Time Stabilization for Static Neural Networks with Leakage Delay and Time-Varying Delay
A Learning Algorithm of CMAC Based on RLS
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition
Stability of Impulsive Stochastic Reaction Diffusion Recurrent Neural Network