yusuke1997/dblp-id-title huggingface dataset:
A New Fixed-Time Stability Criterion and Its Application to Synchronization Control of Memristor-Based Fuzzy Inertial Neural Networks with Proportional Delay
SRCNN-PIL: Side Road Convolution Neural Network Based on Pseudoinverse Learning Algorithm
Global Dissipativity of Inertial Neural Networks with Proportional Delay via New Generalized Halanay Inequalities
Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers
Finite-Time Robust Synchronization of Memrisive Neural Network with Perturbation
Self-eliminating Discriminant Analysis Dictionary Learning for Pattern Classification
An Improved Cuckoo Search Algorithm for Optimization of Artificial Neural Network Training
On Stage-Wise Backpropagation for Improving Cheng's Method for Fully Connected Cascade Networks
Event-triggered multi-agent credit allocation pursuit-evasion algorithm
Global Passivity Analysis of Interval Neural Networks with Discrete and Distributed Delays of Neutral Type
Filippov FitzHugh-Nagumo Neuron Model with Membrane Potential Threshold Control Policy
A Rumor Detection Model Incorporating Propagation Path Contextual Semantics and User Information
Partial Domain Adaptation by Progressive Sample Learning of Shared Classes
Robust Exponential Synchronization for Stochastic Delayed Neural Networks with Reaction-Diffusion Terms and Markovian Jumping Parameters
High-Accuracy Spiking Neural Network for Objective Recognition Based on Proportional Attenuating Neuron
Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method
Existence and Global Exponential Stability of Almost Periodic Solution for High-Order BAM Neural Networks with Delays on Time Scales
Power Optimization in Wireless Sensor Network Using VLSI Technique on FPGA Platform
Bayesian Robust PCA of Incomplete Data
Multi-scale Deep Feature Transfer for Automatic Video Object Segmentation
Two Novel Versions of Randomized Feed Forward Artificial Neural Networks: Stochastic and Pruned Stochastic
A Time Series Forecasting Model Selection Framework using CNN and Data Augmentation for Small Sample Data
A Robust Non-Fragile Control Lag Synchronization for Fractional Order Multi-Weighted Complex Dynamic Networks with Coupling Delays
DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud
Robust Multi-view Classification with Sample Constraints
Periodic Solution for Neutral-Type Neural Networks in Critical Case
TLS-RWKV: Real-Time Online Action Detection with Temporal Label Smoothing
Activation-Based Recursive Self-Organising Maps: A General Formulation and Empirical Results
Aperiodically Intermittent Control for Exponential Stabilization of Delayed Neural Networks Via Time-dependent Functional Method
Combining Lateral and Elastic Interactions Topology Preserving Elastic Nets
An Approach of Combining Convolution Neural Network and Graph Convolution Network to Predict the Progression of Myopia
Quasi-Synchronization of Fractional-Order Complex-Valued Memristive Recurrent Neural Networks with Switching Jumps Mismatch
Improved Recurrent Neural Networks for Text Classification and Dynamic Sylvester Equation Solving
Application of Strong Arcs in m-Polar Fuzzy Graphs
Information Compensation Graph Contrastive Learning for Recommendation
Novel Parallel Multiple Minor Components Extraction Algorithm by Diagonal Matrix Method
An Outlier-Robust Growing Local Model Network for Recursive System Identification
Triaxial Squeeze Attention Module and Mutual-Exclusion Loss Based Unsupervised Monocular Depth Estimation
A Unified Synchronization Criterion for Reaction-Diffusion Neural Networks with Time-Varying Impulsive Delays and System Delay
Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network
Enhance the Performance of Deep Neural Networks via L2 Regularization on the Input of Activations
Leader-Following Mean Square Consensus of Stochastic Multi-agent Systems via Periodically Intermittent Event-Triggered Control
Multi-view Multi-label Learning with Shared Features Inconsistency
Pseudo-Almost Periodic Solution on Time-Space Scales for a Novel Class of Competitive Neutral-Type Neural Networks with Mixed Time-Varying Delays and Leakage Delays
A Formal Model for Definition and Simulation of Generic Neural Networks
An Artificial Neural Network Model to Solve the Fuzzy Shortest Path Problem
DMADRL: A Distributed Multi-agent Deep Reinforcement Learning Algorithm for Cognitive Offloading in Dynamic MEC Networks
Interval Neutrosophic Einstein Prioritized Normalized Weighted Geometric Bonferroni Mean Operator and its Application to Multicriteria Decision making
Classification of EEG Signals Based on Autoregressive Model and Wavelet Packet Decomposition
Efficient Bayesian CNN Model Compression using Bayes by Backprop and L1-Norm Regularization
Integrating Spectral Kernel Learning and Constraints in Semi-Supervised Classification
Positive-Unlabeled Learning for Knowledge Distillation
The Softmap Algorithm
An Examination of Qubit Neural Network in Controlling an Inverted Pendulum
Global Asymptotic Stability of Periodic Solutions for Neutral-Type Delayed BAM Neural Networks by Combining an Abstract Theorem of k-Set Contractive Operator with LMI Method
Convergence of Delayed Dynamical Systems
Event-Triggered Controller on Practically Exponential Input-to-State Stabilization of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks and Its Application to Image Encryption
Multi-objective Optimization Based Recursive Feature Elimination for Process Monitoring
A Hybrid Intelligent Morphological Approach for Stock Market Forecasting
Self-Adaptive Clustering of Dynamic Multi-Graph Learning
Hierarchical Deep Neural Network for Image Captioning
A Neural Network Study of Blasius Equation
Optimizing Deep Feedforward Neural Network Architecture: A Tabu Search Based Approach
Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation
Deep Learning and Preference Learning for Object Tracking: A Combined Approach
Fixed-Time Synchronization of Multi-weighted Complex Networks Via Economical Controllers
Exponential Convergence of a SICNN with Leakage Delays and Continuously Distributed Delays of Neutral Type
Erratum On the Parsimony of the Multi-Layer Perceptrons when Processing Encoded Symbolic Variables
An Experimental Comparison of Three PCA Neural Networks
Semantic-Aware Feature Aggregation for Few-Shot Image Classification
End-to-End Entity Detection with Proposer and Regressor
Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Algorithm
Existence and Exponential Stability of Periodic Solution for BAM Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays
Ensemble Learning for Chemical Sensor Arrays
A Multi-objective Optimization Model for Redundancy Reduction in Convolutional Neural Networks
SSGAN: A Semantic Similarity-Based GAN for Small-Sample Image Augmentation
Recovering Clean Data with Low Rank Structure by Leveraging Pre-learned Dictionary for Structured Noise
Broad-Coverage Parsing with Neural Networks
Performance Evaluation of a New BP Algorithm for a Modified Artificial Neural Network
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects
An SNN-Based Semantic Role Labeling Model with Its Network Parameters Optimized Using an Improved PSO Algorithm
Fine-tuning Cascade-Correlation trained feedforward network with backpropagation
A New MC-LSTM Network Structure Designed for Regression Prediction of Time Series
Exponential Stability of Positive Recurrent Neural Networks with Multi-proportional Delays
Embedded Manifold-Based Kernel Fisher Discriminant Analysis for Face Recognition
Novel GCN Model Using Dense Connection and Attention Mechanism for Text Classification
Nonlinear Continuous-Time System ℋ ∞ Control Based on Dynamic Quantization and Event-triggered Mechanism
An Improved Finite Time Convergence Recurrent Neural Network with Application to Time-Varying Linear Complex Matrix Equation Solution
Fast Evolutionary Learning with Batch-Type Self-Organizing Maps
Piecewise Linear Projection Based on Self Organizing Map
BERT Based Semi-Supervised Hybrid Approach for Aspect and Sentiment Classification
A Novel Identification-Based Convex Control Scheme via Recurrent High-Order Neural Networks: An Application to the Internal Combustion Engine
DNN-Based Cross-Lingual Voice Conversion Using Bottleneck Features
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks
Robust Pinball Twin Bounded Support Vector Machine for Data Classification
CCCIH: Content-consistency Coverless Information Hiding Method Based on Generative Models
New Advances in Artificial Neural Networks and Machine Learning Techniques
GrapHisto: A Robust Representation of Graph-Structured Data for Graph Convolutional Networks
MIGSOM: Multilevel Interior Growing Self-Organizing Maps for High Dimensional Data Clustering
Image Inpainting: A Review
Emotion Analysis on Text Using Multiple Kernel Gaussian..
Canonical Correlation Analysis Based Hyper Basis Feedforward Neural Network Classification for Urban Sustainability
Health Monitoring of Vibration Signatures in Rotorcraft Wings
Hopf Bifurcation Analysis of a Reaction-Diffusion Neural Network with Time Delay in Leakage Terms and Distributed Delays
Competitive Brain Emotional Learning
Domain Adaptation with Twin Support Vector Machines
Deterministic Convergence of Wirtinger-Gradient Methods for Complex-Valued Neural Networks
Simultaneous Identification of Face and Orientation
A Perceptually Important Points Approach Based on Imputation Clustering with Weighted Distance Techniques for Big Data Reduction in Internet of Things Cloud
Contextualized Multidimensional Personality Recognition using Combination of Deep Neural Network and Ensemble Learning
Impulsive-Interaction-Driven Synchronization in an Array of Coupled Neural Networks
Improve Multi-Instance Neural Networks through Feature Selection
CNN-based Methods for Offline Arabic Handwriting Recognition: A Review
An Analysis of Global Stability of Takagi-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Time Delays
LieCConv: An Image Classification Algorithm Based on Lie Group Convolutional Neural Network
LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition
Stability of Quasi-Periodic Orbits in Recurrent Neural Networks
Detection and Classification of Brain Tumor Using Convolution Extreme Gradient Boosting Model and an Enhanced Salp Swarm Optimization
The Couple-Group Consensus of Heterogeneous Multi-Agent Systems with Different Leaders Under Markov Switching in Cooperative-Competitive Networks
Morphogenesis of neural networks
Statistically Adaptive Image Denoising Based on Overcomplete Topographic Sparse Coding
Scalable Semi-Supervised Classification via Neumann Series
Stability of Inertial Neural Network with Time-Varying Delays Via Sampled-Data Control
Simulation of Cortex-Like Neural Networks on a CNAPS SIMD Neurocomputer
MSARN: A Multi-scale Attention Residual Network for End-to-End Environmental Sound Classification
Pseudo Almost Periodic Solutions for Fuzzy Cellular Neural Networks with Multi-proportional Delays
Leveraging Hybrid Deep Learning Models for Enhanced Multivariate Time Series Forecasting
Coherent Response in a Chaotic Neural Network
Batch Gradient Training Method with Smoothing Group L 0 Regularization for Feedfoward Neural Networks
A Simple Neural Network Pruning Algorithm with Application to Filter Synthesis
Stability and exponential lag-synchronization of a class of neural network with state dependent and distributed delays over a time scale
Importance Sampling for Objective Function Estimations in Neural Detector Training Driven by Genetic Algorithms
Boundary Adjusted Network Based on Cosine Similarity for Temporal Action Proposal Generation
Two Neural Network Construction Methods
Optimal Control Based on Neuro Estimator for Fractional Order Uncertain Non-linear Continuous-Time Systems
Hopfield Network as Static Optimizer: Learning the Weights and Eliminating the Guesswork
A Novel Vision Transformer Model for Skin Cancer Classification
Quantized Sampled-Data Control for Exponential Stabilization of Delayed Complex-Valued Neural Networks
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
Generalizing the Convolution Operator in Convolutional Neural Networks
A New Robust Fuzzy Clustering Approach: DBKIFCM
Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks
Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition
Stability Analysis of Fractional-Order Hopfield Neural Networks with Time-Varying External Inputs
DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN for Dense Prediction
Finite-Time Anti-synchronization of Multi-weighted Coupled Neural Networks With and Without Coupling Delays
A City Monitoring System Based on Real-Time Communication Interaction Module and Intelligent Visual Information Collection System
MSTCA: Multi-horizon Spatiotemporal Correlation Aggregation for Multivariate Long-term Time Series Forecasting
Joint Detection and Association for End-to-End Multi-object Tracking
Hierarchical Neural Network with Serial Attention Mechanism for Review Sentiment Classifification
A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting
Stochastic Quasi-Synchronization of Delayed Neural Networks: Pinning Impulsive Scheme
Local Adaptive Subspace Regression
A Robust Fixed-Time Piecewise Dynamic Network for Convex Programming
Multiple Instance Learning via Semi-supervised Laplacian TSVM
Single SiGe Transistor Based Energy-Efficient Leaky Integrate-and-Fire Neuron for Neuromorphic Computing
A Framework for Image Captioning Based on Relation Network and Multilevel Attention Mechanism
Binary Filter for Fast Vessel Pattern Extraction
Orthogonal Multiset Canonical Correlation Analysis based on Fractional-Order and Its Application in Multiple Feature Extraction and Recognition
APRE: Annotation-Aware Prompt-Tuning for Relation Extraction
Foreign Exchange Rates Forecasting with Convolutional Neural Network
Weakly Supervised Anomaly Detection Based on Two-Step Cyclic Iterative PU Learning Strategy
Piecewise Pseudo Almost-Periodic Solutions of Impulsive Fuzzy Cellular Neural Networks with Mixed Delays
A New Geometry with Cross-Coupling of ART Networks
Synchronous Reluctance Motor Speed Tracking Using a Modified Second-Order Sliding Mode Control Method
The Global Exponential Stability of the Delayed Complex-Valued Neural Networks with Almost Periodic Coefficients and Discontinuous Activations
Non-iterative Knowledge Fusion in Deep Convolutional Neural Networks
Stacked Fusion Supervised Auto-encoder with an Additional Classification Layer
A Stable, Unified Density Controlled Memetic Algorithm for Gene Regulatory Network Reconstruction Based on Sparse Fuzzy Cognitive Maps
Flight Delay Prediction Using Deep Convolutional Neural Network Based on Fusion of Meteorological Data
Hyperspectral Image Classification Based on 3D-2D Hybrid Convolution and Graph Attention Mechanism
Dual-Level Information Transfer for Visible-Thermal Person Re-identification
Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints
A New Incremental PCA Algorithm With Application to Visual Learning and Recognition
Correction: A Lightweight Neural Learning Algorithm for Real-Time Facial Feature Tracking System via Split-Attention and Heterogeneous Convolution
Gravitational Search-Based Efficient Multilayer Artificial Neural Coordination
Variational Diversity Maximization for Hierarchical Skill Discovery
Unsuitability of NOTEARS for Causal Graph Discovery when Dealing with Dimensional Quantities
A Fast Heuristic Global Learning Algorithm for Multilayer Neural Networks
MatchACNN: A Multi-Granularity Deep Matching Model
Learning Algorithm and Retrieval Process for the Multiple Classes Random Neural Network Model
Neural Network Ensembles in Reinforcement Learning
Trust-Aware Collaborative Filtering with a Denoising Autoencoder
Fixed-Time Synchronization for Delayed Quaternion-Valued Stochastic Fuzzy Neural Network with Reaction-Diffusion Terms
General Decay Synchronization of Fuzzy Inertial Memristive Neural Networks with Discontinuous Activation Function
Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines
Time Series Forecasting Using Neural Networks: Are Recurrent Connections Necessary?
Memory-based State Estimation of T-S Fuzzy Markov Jump Delayed Neural Networks with Reaction-Diffusion Terms
Cluster Synchronization and Finite-Time Bounded for Complex Networks Under DoS Attacks and Encoding-Decoding Communication Protocol
Interweaving Kohonen Maps of Different Dimensions to Handle Measure Zero Constraints on Topological Mappings
Region Stability and Stabilization of Recurrent Neural Network with Parameter Disturbances
Fusing Neural Networks Through Space Partitioning and Fuzzy Integration
Global Exponential Stability of Hybrid Non-autonomous Neural Networks with Markovian Switching
Linear Multilayer ICA Using Adaptive PCA
Piecewise Pseudo Almost Periodic Solutions of Generalized Neutral-Type Neural Networks with Impulses and Delays
Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine
Knowledge Incorporation into Neural Networks From Fuzzy Rules
A Minimax Method for Learning Functional Networks
Online Learning for Time Series Prediction of AR Model with Missing Data
A New Virtual Samples-Based CRC Method for Face Recognition
Associative Memory Synthesis Based on Region Attractive Recurrent Neural Networks
Synchronization of Quaternion Valued Neural Networks with Mixed Time Delays Using Lyapunov Function Method
Virtual sample generation using a population of networks
Solving the Multi-Objective Problem of IoT Service Placement in Fog Computing Using Cuckoo Search Algorithm
An Improved Method for Semantic Image Inpainting with GANs: Progressive Inpainting
Second Order Training and Sizing for the Multilayer Perceptron
Sequence Input-Based Quantum-Inspired Neural Networks with Applications
Asynchronous l 2 -l ∞ Filtering for Discrete-Time Fuzzy Markov Jump Neural Networks with Unreliable Communication Links
Transformer-Based Fused Attention Combined with CNNs for Image Classification
A Hybride Active Contour Model Driven by Global and Local Image Information
A New Two-Level Associative Memory for Efficient Pattern Restoration
Age-Invariant Face Recognition Using Coupled Similarity Reference Coding
Pinning Synchronization of Nonlinear and Delayed Coupled Neural Networks with Multi-weights via Aperiodically Intermittent Control
A Graph Generation Model for Convolutional Neural Network Architecture based on GCN and GAN
On Nonparametric Residual Variance Estimation
A Novel Combined Model for Short-Term Electric Load Forecasting Based on Whale Optimization Algorithm
Evolutionary Denoising-Based Machine Learning for Detecting Knee Disorders
Label Embedding for Multi-label Classification Via Dependence Maximization
Adaptively Converting Auxiliary Attributes and Textual Embedding for Video Captioning Based on BiLSTM
A Modified Learning Algorithm for Interval Perceptrons with Interval Weights
A Novel Lightweight Deep Learning-Based Histopathological Image Classification Model for IoMT
Wavelet Neural Network for Corrections Prediction in Single-Frequency GPS Users
Stacked Autoencoders Using Low-Power Accelerated Architectures for Object Recognition in Autonomous Systems
Global Mittag-Leffler Synchronization of Fractional-Order Neural Networks Via Impulsive Control
Multilayer Convolutional Neural Network to Filter Low Quality Content from Quora
Capsule Network Based on Double-layer Attention Mechanism and Multi-scale Feature Extraction for Remaining Life Prediction
Time Series Classification Based on Forward Echo State Convolution Network
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm
Dissipativity of Stochastic Competitive Neural Networks with Multiple Time Delays
Intelligent Tunicate Swarm for Regression Neuron Modelling: Novel State Estimation Learning
Hopfield-Like Neural Nets and Sensor Networks
AdamRAG: Adaptive Algorithm with Ravine Method for Training Deep Neural Networks
Comparison of Stochastic Global Optimization Methods to Estimate Neural Network Weights
Neural Network-Based Optimal Tracking Control of Continuous-Time Uncertain Nonlinear System via Reinforcement Learning
A New Fuzzy Support Vector Machine Based on the Weighted Margin
Joint Robust Transfer Metric and Adaptive Transfer Function Learning
PU Active Learning for Recommender Systems
Representation-burden Conservation Network Applied to Learning VQ (NPL270)
Feature Extraction Based on Support Vector Data Description
RMHNet: A Relation-Aware Multi-granularity Hierarchical Network for Person Re-identification
Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks
Random Regrouping and Factorization in Cooperative Particle Swarm Optimization Based Large-Scale Neural Network Training
Retraction Note: Intelligent Crime Prevention and Control Big Data Analysis System Based on Imaging and Capsule Network Model
Almost Automorphic Solutions in Distribution Sense of Quaternion-Valued Stochastic Recurrent Neural Networks with Mixed Time-Varying Delays
Balanced Gradient Training of Feed Forward Networks
Nonlinear Graph Learning-Convolutional Networks for Node Classification
Backpropagation for Fully Connected Cascade Networks
p th Moment Exponential Stability of Hybrid Delayed Reaction-Diffusion Cohen-Grossberg Neural Networks
Increasing Attraction of Pseudo-Inverse Autoassociative Networks
An Observer-Based Topology Identification and Synchronization in Finite Time for Fractional Singularly Perturbed Complex Networks via Dynamic Event-Triggered Control
Attention-Based Deep Gated Fully Convolutional End-to-End Architectures for Time Series Classification
Fitness Landscape Analysis of Weight-Elimination Neural Networks
3D Face Recognition Using a Fusion of PCA and ICA Convolution Descriptors
A Review of Dynamic Maps for 3D Human Motion Recognition Using ConvNets and Its Improvement
Collinearity and Parallelism are Statistically Significant Second-Order Relations of Complex Cell Responses
STP-Cube - Multivariate Time Series Forecasting Based on Spatiotemporal Correlations and Periodicity
A Pilot Study of Observation Poisoning on Selective Reincarnation in Multi-Agent Reinforcement Learning
Adaptive Meta Transfer Learning with Efficient Self-Attention for Few-Shot Bearing Fault Diagnosis
A Novel Geometric Mean Feature Space Discriminant Analysis Method for Hyperspectral Image Feature Extraction
Graph Contrastive Learning with Constrained Graph Data Augmentation
Anti-synchronization of a Class Of Fuzzy Memristive Competitive Neural Networks with Different Time Scales
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Delay-Independent Stability of Riemann-Liouville Fractional Neutral-Type Delayed Neural Networks
Aggregated Temporal Tensor Factorization Model for Point-of-Interest Recommendation
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems
Quantitative object motion prediction by an ART2 and Madaline combined neural network
Multi-Source Selection Transfer Learning with Privacy-Preserving
Combining Temporal and Interactive Features for Rumor Detection: A Graph Neural Network Based Model
A strong winner-take-all model based on integration of potential differences
Combining Pixel-Level and Structure-Level Adaptation for Semantic Segmentation
A Self-Stabilizing Neural Algorithm for Total Least Squares Filtering
A Recurrent Neural Network for N-Stage Optimal Control Problems
Gaussian Pyramid of Conditional Generative Adversarial Network for Real-World Noisy Image Denoising
Heterogeneous Similarity Learning for More Practical Kinship Verification
Estimation of Shape Parameter of GGD Function by Negentropy Matching
Locality Alignment Discriminant Analysis for Visualizing Regional English