yusuke1997/dblp-id-title huggingface dataset:
Global Exponential Stability and Existence of Periodic Solution of Impulsive Cohen-Grossberg Neural Networks with Distributed Delays on Time Scales
A Hyperplane Clustering Algorithm for Estimating the Mixing Matrix in Sparse Component Analysis
A Hybrid Machine Learning Technique for Multiple Soft Biometric Based Dynamic Keystroke Pattern Recognition System
Improved Stabilization Results for Markovian Switching CVNNs with Partly Unknown Transition Rates
General and Improved Five-Step Discrete-Time Zeroing Neural Dynamics Solving Linear Time-Varying Matrix Equation with Unknown Transpose
Design of RF MEMS Based Oscillatory Neural Network for Ultra High Speed Associative Memories
Dual Global Structure Preservation Based Supervised Feature Selection
One Recurrent Neural Networks Solution for Passive Localization
A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm
CT-UNet: Context-Transfer-UNet for Building Segmentation in Remote Sensing Images
Label-Aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification
A Bidirectional Hetero-Associative Memory for True-Color Patterns
Discriminative Deep Non-Linear Dictionary Learning for Visual Object Tracking
Global Exponential Convergence of Neutral Type Shunting Inhibitory Cellular Neural Networks with D Operator
A Network of Neural Oscillators for Fractal Pattern Recognition
Neural Data Augmentation for Legal Overruling Task: Small Deep Learning Models vs. Large Language Models
Combining Singular-Spectrum Analysis and neural networks for time series forecasting
Graph-Theoretic Method on Topology Identification of Stochastic Multi-weighted Complex Networks with Time-Varying Delayed Coupling Based on Adaptive Synchronization
Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators
Retraction Note: Histo-Quartic Graph and Stack Entropy-Based Deep Neural Network Method for Brain and Tumor Segmentation
Error Estimate for Spherical Neural Networks Interpolation
Multi-object Tracking by Joint Detection and Identification Learning
Extended dissipative criteria for delayed semi-discretized competitive neural networks
Ensemble pruning of ELM via migratory binary glowworm swarm optimization and margin distance minimization
Single Layer Chebyshev Neural Network Model for Solving Elliptic Partial Differential Equations
Multi-dimensional Taylor Network-Based Fault-Tolerant Control for Nonlinear Systems with Unmodeled Dynamics and Actuator Faults
Parameter-Free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients
Optimal Locality Regularized Least Squares Support Vector Machine via Alternating Optimization
Finite Time Stability Analysis of Fractional-Order Complex-Valued Memristive Neural Networks with Proportional Delays
Robust Learning Algorithm Based on Iterative Least Median of Squares
Guaranteed Cost Stabilization of Time-varying Delay Cellular Neural Networks via Riccati Inequality Approach
Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks
Engineering Vehicles Detection for Warehouse Surveillance System Based on Modified YOLOv4-Tiny
Identification of Hammerstein Systems with Random Fourier Features and Kernel Risk Sensitive Loss
In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine
Deep Clustering Network for Steganographer Detection Using Latent Features Extracted from a Novel Convolutional Autoencoder
Spectro Temporal Fusion with CLSTM-Autoencoder based approach for Anomalous Sound Detection
Neural Networks with Dependent Inputs
CTLC: A Co-Training-Based Label Correction Method for Webly-Supervised Learning
Image-Text Sentiment Analysis Via Context Guided Adaptive Fine-Tuning Transformer
Special Issue on Neural Networks for Early Cancer Detection
FuseNet: 3D Object Detection Network with Fused Information for Lidar Point Clouds
A Voltage Control Method of 6-DoF Underwater Robotic System with an Observer-Based Robust Adaptive Fuzzy Estimator
Multipath Attention and Adaptive Gating Network for Video Action Recognition
Time Series Classification Based on Adaptive Feature Adjustment and Multi-scale AGRes2Net
Multi-View Gait Recognition Based on Generative Adversarial Network
Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition
Exponential stability of a class of competitive neural networks with multi-proportional delays
Stability and Bifurcation Behavior of a Neuron System with Hyper-Strong Kernel
Interaction with In-Vehicle Electronic Systems: A Complete Description of a Neural Network Approach
Pre-denoising 3D Multi-scale Fusion Attention Network for Low-Light Enhancement
Sparse Embedded Convolution Based Dual Feature Aggregation 3D Object Detection Network
Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D
Adaptive Network-Based Fuzzy Inference Systems Coupled with Genetic Algorithms for Predicting Soil Permeability Coefficient
A Discriminative Approach to Sentiment Classification
Multi-view Subspace Clustering via Joint Latent Representations
CCA-Based Fusion of Camera and Radar Features for Target Classification Under Adverse Weather Conditions
Learning Invariant Features Using Subspace Restricted Boltzmann Machine
Probability Density Estimation Using Adaptive Activation Function Neurons
Identification of Influential Nodes for Drone Swarm Based on Graph Neural Networks
EarNet: Biometric Embeddings for End to End Person Authentication System Using Transient Evoked Otoacoustic Emission Signals
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution
Global Asymptotic Stability for Complex-Valued Neural Networks with Time-Varying Delays via New Lyapunov Functionals and Complex-Valued Inequalities
Deep Learning Guided Double Hidden Layer Neural Synchronization Through Mutual Learning
Dissipativity and Passivity Analysis of Markovian Jump Neural Networks with Two Additive Time-Varying Delays
Novel Self-Organizing Takagi Sugeno Kang Fuzzy Neural Networks Based on ART-like Clustering
New Results on the Robust Stability of Cohen-Grossberg Neural Networks with Delays
Multi-dimensional feature interaction for Conversational Aspect-Based Quadruple Sentiment Analysis
Information-Theoretic Competitive Learning with Inverse Euclidean Distance Output Units
Convolutional Shape-Aware Representation for 3D Object Classification
Finite-Horizon Robust Event-Triggered Control for Nonlinear Multi-agent Systems with State Delay
p th Moment Exponential Stability of Stochastic Cohen-Grossberg Neural Networks With Time-varying Delays
Attentive Semantic and Perceptual Faces Completion Using Self-attention Generative Adversarial Networks
RSMNet: A Regional Similar Module Network for Weakly Supervised Object Localization
Non-pairwise Collaborative Filtering
Iris Recognition using Multi Objective Artificial Bee Colony Optimization Algorithm with Autoencoder Classifier
An Efficient Measure of Signal Temporal Predictability for Blind Source Separation
Improved Sparrow Search Algorithm with the Extreme Learning Machine and Its Application for Prediction
Neuronal Signal Transduction Aided by Noise at Threshold and at Saturation
Applied Human Action Recognition Network Based on SNSP Features
A Neuro-fuzzy Coding for Processing Incomplete Data: Application to the Classification of Seismic Events
CIRM-SNN: Certainty Interval Reset Mechanism Spiking Neuron for Enabling High Accuracy Spiking Neural Network
Spiking Neural Networks: Background, Recent Development and the NeuCube Architecture
An Adaptive Missing Data Restoration Method for UAV Confrontation Based on Deep Regression Model
Category-Aware Saliency Enhance Learning Based on CLIP for Weakly Supervised Salient Object Detection
A Forecasting Framework Based on Kalman Filter Integrated Multivariate Local Polynomial Regression: Application to Urban Water Demand
A New Multi-classifier Ensemble Algorithm Based on D-S Evidence Theory
Two-Stage Game Strategy for Multiclass Imbalanced Data Online Prediction
Extracting Interpretable Fuzzy Rules from RBF Networks
Model and Training of QNN with Weight
Synchronization of Locally Coupled Neural Oscillators
Extended Dissipative Criteria for Generalized Markovian Jump Neural Networks Including Asynchronous Mode-Dependent Delayed States
Speeding up MLP Execution through Difference Forward Propagation
Periodic Solutions of BAM Neural Networks with Continuously Distributed Delays in the Leakage Terms
CEDRNN: A Convolutional Encoder-Decoder Residual Neural Network for Liver Tumour Segmentation
Complex-Valued UNet for Radar Image Segmentation
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
Exponential Lag Synchronization and Global Dissipativity for Delayed Fuzzy Cohen-Grossberg Neural Networks with Discontinuous Activations
Cyclic Gate Recurrent Neural Networks for Time Series Data with Missing Values
Detection of Copy-Move Forgery in Digital Image Using Multi-scale, Multi-stage Deep Learning Model
Multi-level Self-supervised Representation Learning via Triple-way Attention Fusion and Local Similarity Optimization
An Efficient Mammogram Image Retrieval System Using an Optimized Classifier
On-Line Learning Fokker-Planck Machine
Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding
Graph Regularized Sparse Autoencoders with Nonnegativity Constraints
Self-Transfer Learning Network for Multicolor Fabric Defect Detection
Image Classification Based on Low-Level Feature Enhancement and Attention Mechanism
A Contrastive Learning Framework with Tree-LSTMs for Aspect-Based Sentiment Analysis
Human Age Estimation by Considering both the Ordinality and Similarity of Ages
Learning Enriched Global Context Information for Human Pose Estimation
Optimal Algorithmic Complexity of Fuzzy ART
Retraction Note: Urban Landscape Ecological Design and Stereo Vision Based on 3D Mesh Simplification Algorithm and Artificial Intelligence
Exponential p-Synchronization of Non-autonomous Cohen-Grossberg Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control
Input-to-state Stabilization of Delayed Semi-Markovian Jump Neural Networks Via Sampled-Data Control
Deep Feature Fusion Network for Compressed Video Super-Resolution
Rough Neural Network of Variable Precision
Stability and Synchronization Analysis of Discrete-Time Delayed Neural Networks with Discontinuous Activations
Global Dissipativity of Quaternion-Valued Fuzzy Cellular Fractional-Order Neural Networks With Time Delays
Effects of Varying Parameters on Properties of Self-Organizing Feature Maps
A silicon basis for synaptic plasticity
Surface Electromyography-Based Daily Activity Recognition Using Wavelet Coherence Coefficient and Support Vector Machine
Adversarial-Based Ensemble Feature Knowledge Distillation
Exponential Stability of Neutral-Type Impulsive Markovian Jump Neural Networks with General Incomplete Transition Rates
Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials
Improved Lightweight Head Detection Based on GhostNet-SSD
Sparse Auto-encoder with Smoothed l 1 Regularization
Kernel Local Sparse Representation Based Classifier
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
Convergence for HRNNs with Unbounded Activation Functions and Time-varying Delays in the Leakage Terms
Knowledge Fusion Distillation: Improving Distillation with Multi-scale Attention Mechanisms
A Fast Adaptive Online Gradient Descent Algorithm in Over-Parameterized Neural Networks
Multivariate Density Estimation with Deep Neural Mixture Models
Deep Convolutional Neural Networks with Transfer Learning for Visual Sentiment Analysis
Efficient Visual Metaphor Image Generation Based on Metaphor Understanding
Efficient Strategies of Static Features Incorporation into the Recurrent Neural Network
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting
Complex Projection Synchronization of Fractional-Order Complex-Valued Memristive Neural Networks with Multiple Delays
A nonlinear extension of the Generalized Hebbian learning
Label-Embedding Bi-directional Attentive Model for Multi-label Text Classification
Segmentation of MR and CT Images Using a Hybrid Neural Network Trained by Genetic Algorithms
Neighborhood Guided Smoothed Emphasis for Real Adaboost Ensembles
Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression
Multi-class Review Rating Classification using Deep Recurrent Neural Network
Linear Correlation-Based Learning Models Require a Two-Stage Process for the Development of Orientation and Ocular Dominance
Multi-layer Attention Based CNN for Target-Dependent Sentiment Classification
Color Characterization and Balancing by a Nonlinear Line Attractor Network for Image Enhancement
Real Time Implementation of Fuzzy Gain Scheduling of PI Controller for Induction Motor Machine Control
Enhanced Non-parametric Sequence-based Learning Algorithm for Outlier Detection in the Internet of Things
Energy Supervised Relevance Neural Gas for Feature Ranking
TLC-XML: Transformer with Label Correlation for Extreme Multi-label Text Classification
Training Algorithm with Incomplete Data for Feed-Forward Neural Networks
Stick-Breaking Dependent Beta Processes with Variational Inference
Non-Interlaced Dynamic Time Warping for Distance Between Matrixes
CEEMDAN-Based Hybrid Machine Learning Models for Time Series Forecasting Using MARS Algorithm and PSO-Optimization
GrasNet: A Simple Grassmannian Network for Image Set Classification
Finite-Time Anti-synchronization Control of Memristive Neural Networks With Stochastic Perturbations
Distantly Supervised Relation Extraction Based on Residual Attention and Self Learning
Finite-Time Stability and Its Application for Solving Time-Varying Sylvester Equation by Recurrent Neural Network
A Generalized Logistic Link Function for Cumulative Link Models in Ordinal Regression
Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression
A Dynamic ELM with Balanced Variance and Bias for Long-Term Online Prediction
Fixed-Time Synchronization of Stochastic Complex-Valued Fuzzy Neural Networks with Memristor and Proportional Delays
DropFilterR: A Novel Regularization Method for Learning Convolutional Neural Networks
A Data Reusing Nonlinear Gradient Descent Algorithm for a Class of Complex Valued Neural Adaptive Filters
Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation
Neural Short-Term Prediction Based on Dynamics Reconstruction
Recursive Partitioning Technique for Combining Multiple Classifiers
A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment
Learning Transferable Feature Representation with Swin Transformer for Object Recognition
Observer-Based Adaptive NN Tracking Control for Nonstrict-Feedback Systems with Input Saturation
Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations
Extended Self Organizing Feature Map: A Tagged Potential Field Approach
Quasi-Projective and Mittag-Leffler Synchronization of Discrete-Time Fractional-Order Complex-Valued Fuzzy Neural Networks
Global Mean Square Exponential Stability of Impulsive Non-autonomous Stochastic Neural Networks with Mixed Delays
Learning Synaptic Clusters for Nonlinear Dendritic Processing
A Skeletonizing Reconfigurable Self-Organizing Model: Validation Through Text Recognition
Approximating the Solution of Optimal Control Problems by Fuzzy Systems
Multi-view Fusion and View-specific-labels Learning for Multi-label Classification
Artificial Complex-Valued Neural Processing Using Memristive Hyperchaotic Synchronization
Image Compression and Video Segmentation Using Hierarchical Self-Organization
Deeper Sparsely Nets can be Optimal
Structure Preserving Sparse Coding for Data Representation
Human Face Detection in Digital Video Using SVMEnsemble
An on-line learning algorithm for the orthogonal weight estimation of MLP
ParsBERT: Transformer-based Model for Persian Language Understanding
Pseudo Almost Periodic Solutions for High-Order Hopfield Neural Networks with Time-Varying Leakage Delays
GPINN with Neural Tangent Kernel Technique for Nonlinear Two Point Boundary Value Problems
Neural Control for Driving a Mobile Robot Integrating Stereo Vision Feedback
Political Optimizer Based Feedforward Neural Network for Classification and Function Approximation
TaskRec: A Task Recommendation Framework in Crowdsourcing Systems
Rapid Person Re-Identification via Sub-space Consistency Regularization
A New Result on Stability Analysis of Recurrent Neural Networks with Time-Varying Delay Based on an Extended Delay-Dependent Integral Inequality
Anti-periodic Oscillations of Fuzzy Delayed Cellular Neural Networks with Impulse on Time Scales
Locally Minimizing Embedding and Globally Maximizing Variance: Unsupervised Linear Difference Projection for Dimensionality Reduction
Grading of Knee Osteoarthritis Using Convolutional Neural Networks
Edge-Aware Spatial Propagation Network for Multi-view Depth Estimation
Performance Comparison of Different HTM-Spatial Pooler Algorithms Based on Information-Theoretic Measures
Noise-Robust Detection of Symmetric Axes by Self-Correcting Artificial Neural Network
Multi-channels Prototype Contrastive Learning with Condition Adversarial Attacks for Few-shot Event Detection
WaveVC: Speech and Fundamental Frequency Consistent Raw Audio Voice Conversion
A New Evolutionary Ensemble Learning of Multimodal Feature Selection from Microarray Data
New Delay-Dependent Stability Criteria for Impulsive Neural Networks with Additive Time-Varying Delay Components and Leakage Term
Fast Synchronization of Complex Networks via Aperiodically Intermittent Sliding Mode Control
Training Neural Networks with Krill Herd Algorithm
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction
Ehsinet: Efficient High-Order Spatial Interaction Multi-task Network for Adaptive Autonomous Driving Perception
Generalized Few-Shot Classification with Knowledge Graph
An Effective Ionospheric TEC Predicting Approach Using EEMD-PE-Kmeans and Self-Attention LSTM
Self-Organizing Map Formation with a Selectively Refractory Neighborhood
A Review on Multi-objective Optimization in Wireless Sensor Networks Using Nature Inspired Meta-heuristic Algorithms
Knowledge Distillation Based on Narrow-Deep Networks
Impulsive Control for a Class of Cellular Neural Networks with Proportional Delay
Multi-view Discriminant Dictionary Learning via Learning View-specific and Shared Structured Dictionaries for Image Classification
Elastic Deep Sparse Self-Representation Subspace Clustering Network
Visual Sentiment Analysis by Combining Global and Local Information
Central Attention with Multi-Graphs for Image Annotation
Self-Organizing Maps for the Analysis of Complex Movement Patterns
Exponential Generalized H 2 Filtering of Delayed Static Neural Networks
A Novel Measure for Quantifying the Topology Preservation of Self Organizing Feature Maps
Real-Time Model-Based Video Stabilization for Microaerial Vehicles
Stepanov-Like Pseudo Almost Periodic Solution of Quaternion-Valued for Fuzzy Recurrent Neural Networks with Mixed Delays
Remerging Feigenbaum Trees, Coexisting Behaviors and Bursting Oscillations in a Novel 3D Generalized Hopfield Neural Network
FedDefense: A Defense Mechanism for Dishonest Client Attacks in Federated Learning
Neighborhood Rough Neural Network Approach for COVID-19 Image Classification
Real-Time Implementation of a Neural Integrator Backstepping Control via Recurrent Wavelet First Order Neural Network
Exploring Complex Dependencies for Multi-modal Semantic Trajectory Prediction
A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification
Alternate Event-Triggered Intermittent Control for Exponential Synchronization of Multi-Weighted Complex Networks
A Unified Self-Stabilizing Neural Network Algorithm for Principal Takagi Component Extraction
Finite/Fixed-Time Synchronization of Delayed Inertial Memristive Neural Networks with Discontinuous Activations and Disturbances
Domain Adaptation with Few Labeled Source Samples by Graph Regularization
Efficient Color Texture Classification Using Color Monogenic Wavelet Transform
FinBERT-MRC: Financial Named Entity Recognition Using BERT Under the Machine Reading Comprehension Paradigm
Lightweight CNN-Based Low-Light-Image Enhancement System on FPGA Platform
Case Element Joint Extraction Based on Case Field Correlation and Dependency Graph Convolutional Network
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis
An Adaptive Updating Method of Target Network Based on Moment Estimates for Deep Reinforcement Learning
A Method for the Improvement of the Behavior of Bidirectional Associative Memories as Pattern Classifiers
Kernel Width Optimization for Faulty RBF Neural Networks with Multi-node Open Fault
A Weakly Supervised Semantic Segmentation Method Based on Local Superpixel Transformation
Effects of Multiplier Output Offsets on On-Chip Learning for Analog Neuro-Chips
An Adaptive Learning Rate Deep Learning Optimizer Using Long and Short-Term Gradients Based on G-L Fractional-Order Derivative
Exponential Synchronization of Stochastic Neural Networks with Time-Varying Delays and Lévy Noises via Event-Triggered Control
Knowledge-Aware Multi-view Contrastive Learning for Recommendation
Specialization in Hierarchical Learning Systems
A way to improve an architecture of neural network classifier for remote sensing applications
Content-Based Image Retrieval Using Iterative Search
Knowledge Graph Embedding via Triplet Component Interactions
Complex Weighted One Unit 8216 Rigid Bodies 8217 Learning Rule for Independent Component Analysis
Effective Parameter Tuning of SVMs Using Radius/Margin Bound Through Data Envelopment Analysis
Stability Analysis of TS Fuzzy System with State-Dependent Impulses
Neural Network Based Adaptive Inverse Optimal Control for Non-Affine Nonlinear Systems
Classification of Phonocardiogram Based on Multi-View Deep Network
Synchronization Analysis of Coupled Stochastic Neural Networks with On-Off Coupling and Time-Delay
Single-channel Multi-speakers Speech Separation Based on Isolated Speech Segments
A Non-convex Optimization Model for Signal Recovery
Finite-Time Stability for Delayed Complex-Valued BAM Neural Networks
Discriminative Graph Based Similarity Boosting
Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation
PCA Dimensionality Reduction Method for Image Classification
Recognizing Gastrointestinal Malignancies on WCE and CCE Images by an Ensemble of Deep and Handcrafted Features with Entropy and PCA Based Features Optimization
Multisynchronization of Delayed Fractional-Order Neural Networks via Average Impulsive Interval
Author Profiling in Code-Mixed WhatsApp Messages Using Stacked Convolution Networks and Contextualized Embedding Based Text Augmentation
Retraction Note: Multimedia Imaging Model of Information System Based on Self-Organizing Capsule Neural Network and Game Theory
BIKAGCN: Knowledge-Aware Recommendations Under Bi-layer Graph Convolutional Networks
RSDCN: A Road Semantic Guided Sparse Depth Completion Network
Enriching Word Information Representation for Chinese Cybersecurity Named Entity Recognition
Structural Properties of Recurrent Neural Networks
Beetle Antennae Search Strategy for Neural Network Model Optimization with Application to Glomerular Filtration Rate Estimation
Establishment of topological maps - a model study
Online Speech Enhancement by Retraining of LSTM Using SURE Loss and Policy Iteration
Discriminative K-Means Laplacian Clustering
Passivity and Passivity-Based Synchronization of Switched Coupled Reaction-Diffusion Neural Networks with State and Spatial Diffusion Couplings
Almost Periodic Solution for Shunting Inhibitory Cellular Neural Networks with Time-varying Delays and Variable Coefficients
Enhancing Document Information Selection Through Multi-Granularity Responses for Dialogue Generation
Hierarchical Multilabel Classification with Optimal Path Prediction