yusuke1997/dblp-id-title huggingface dataset:
Encoder-Decoder Network with Depthwise Atrous Spatial Pyramid Pooling for Automatic Brain Tumor Segmentation
Class-Balanced Regularization for Long-Tailed Recognition
A NN-Based Hybrid Intelligent Algorithm for a Discrete Nonlinear Uncertain Optimal Control Problem
Global Attractor of Reaction-Diffusion Gene Regulatory Networks with S-Type Delay
Adaptive State Estimation of Stochastic Delayed Neural Networks with Fractional Brownian Motion
On the Generalization Ability of GRLVQ Networks
An Analysis of IRL-Based Optimal Tracking Control of Unknown Nonlinear Systems with Constrained Input
Online Support Vector Regression Based Adaptive NARMA-L2 Controller for Nonlinear Systems
Semi-supervised Collective Classification in Multi-attribute Network Data
Global Asymptotic Stability Analysis of Neural Networks with Time-Varying Delays
Feature Extraction Using Laplacian Maximum Margin Criterion
SS-CRE: A Continual Relation Extraction Method Through SimCSE-BERT and Static Relation Prototypes
A Multi-modality Sensor System for Unmanned Surface Vehicle
A Parallel Reconfigurable Architecture for Scalable LVQ Neural Networks
Finite/Fixed-Time Synchronization of Memristor-Based Fuzzy Neural Networks with Markov Jumping Parameters Under Unified Control Schemes
New Algebraic Criteria for Global Exponential Periodicity and Stability of Memristive Neural Networks with Variable Delays
Mechanism Isomorphism Identification Based on Decision Tree Algorithm and Hybrid Particle Swarm Optimization Algorithm
An Efficient, Low-Cost Routing Architecture for Spiking Neural Network Hardware Implementations
Global Exponential Synchronization of Memristive Competitive Neural Networks with Time-Varying Delay via Nonlinear Control
Subspace Clustering with Block Diagonal Sparse Representation
GSoANet: Group Second-Order Aggregation Network for Video Action Recognition
Globally Exponential Stability for Delayed Neural Networks Under Impulsive Control
A Hybrid SOM-BPN Approach to Lot Output Time Prediction in a Wafer Fab
A*-FastIsomap: An Improved Performance of Classical Isomap Based on A* Search Algorithm
An Artificial Neural Network for Solving Distributed Optimal Control of the Poisson's Equation
Mixed H ∞ /Passive Projective Synchronization for Nonidentical Uncertain Fractional-Order Neural Networks Based on Adaptive Sliding Mode Control
Passivity and Pinning Passivity of Coupled Delayed Reaction-Diffusion Neural Networks with Dirichlet Boundary Conditions
A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations Platform
Local Tangent Space Discriminant Analysis
Finite-Time Stability of a Class of CNNs with Heterogeneous Proportional Delays and Oscillating Leakage Coefficients
Hybrid 3D/2D Complete Inception Module and Convolutional Neural Network for Hyperspectral Remote Sensing Image Classification
Robust Asymptotic Stability and Projective Synchronization of Time-Varying Delayed Fractional Neural Networks Under Parametric Uncertainty
Novel LMI-Based Boundary Stabilization of Stochastic Delayed Reaction-Diffusion Cohen-Grossberg BAM Neural Networks with Impulsive Effects
Harmonious Mutual Learning for Facial Emotion Recognition
Stability of Fractional Order Fuzzy Cellular Neural Networks with Distributed Delays via Hybrid Feedback Controllers
Segmentation of Different Skin Colors with Different Lighting Conditions by Combining Graph Cuts Algorithm with Probability Neural Network Classification, and its Application
New Results on Exponential Convergence for HRNNs with Continuously Distributed Delays in the Leakage Terms
SiamRAAN: Siamese Residual Attentional Aggregation Network for Visual Object Tracking
Mutual Improvement Between Temporal Ensembling and Virtual Adversarial Training
Aspects of the Binary CMAC: Unimodularity and Probabilistic Reconstruction
Complete Stacked Denoising Auto-Encoders for Regression
A Novel Method to Handle Inequality Constraints for Convex Programming Neural Network
Where Have You Gone: Category-aware Multigraph Embedding for Missing Point-of-Interest Identification
Exponential Synchronization of Stochastic Fuzzy Cellular Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control
A Novel Non-iterative Training Method for CNN Classifiers Using Gram-Schmidt Process
Model-Free Optimal Consensus Control for Multi-agent Systems Based on DHP Algorithm
High-speed Scene Text Detection with Attention and Multi-scale Label Generation
Application of Probabilistic Neural Networks to the Class Prediction of Leukemia and Embryonal Tumor of Central Nervous System
Salp Swarm-Artificial Neural Network Based Cyber-Attack Detection in Smart Grid
Artificial Neural Networks with Random Weights for Incomplete Datasets
Digital Least Squares Support Vector Machines
Using Discriminative Dimensionality Reduction to Visualize Classifiers
Improved Results on Passivity Analysis of Uncertain Neural Networks with Time-Varying Discrete and Distributed Delays
Synchronization of Coupled Complex-Valued Impulsive Neural Networks with Time Delays
Method for Meteorological Early Warning of Precipitation-Induced Landslides Based on Deep Neural Network
Body Part-Based Person Re-identification Integrating Semantic Attributes
Lightweight Image Super-Resolution with ConvNeXt Residual Network
Task-Independent Spiking Central Pattern Generator: A Learning-Based Approach
An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation
Multi-residual Connection Network for Edge Detection
Multi-class support vector machine based on the minimization of class variance
An Application of Generalized Fuzzy Hyperbolic Model for Solving Fractional Optimal Control Problems with Caputo-Fabrizio Derivative
Finite-Time Stability of Neural Networks with Impulse Effects and Time-Varying Delay
Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning
Secure Multi-Party Computation for Personalized Human Activity Recognition
SALA: A Self-Adaptive Learning Algorithm - Towards Efficient Dynamic Route Guidance in Urban Traffic Networks
Multilevel Attention Models for Drug Target Binding Affinity Prediction
An Ar2p Deep Learning Architecture for the Discovery and the Selection of Features
DCLGM: Fusion Recommendation Model Based on LightGBM and Deep Learning
Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method
A Note on the Universal Approximation Capability of Support Vector Machines
AVLR-EBP: A Variable Step Size Approach to Speed-up the Convergence of Error Back-Propagation Algorithm
Differential Evolution and Levenberg Marquardt Trained Neural Network Scheme for Nonlinear System Identification
Hopfield Neural Networks for Parametric Identification of Dynamical Systems
Evolving Multilayer Perceptrons
GPCNKB: An Attack Prediction and Reasoning Model Based on an Improved Graph Convolutional Network
Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph
Periodic Solution for Fuzzy Cohen-Grossberg BAM Neural Networks with Both Time-Varying and Distributed Delays and Variable Coefficients
H ∞ State Estimation for Stochastic Jumping Neural Networks with Fading Channels Over a Finite-Time Interval
Selective Recurrent Neural Network
Exponential Synchronization for Variable-order Fractional Complex Dynamical Networks via Dynamic Event-triggered Control Strategy
c-RNN: A Fine-Grained Language Model for Image Captioning
Stability of Quaternion-Valued Neural Networks with Mixed Delays
Learning to Rank with Ensemble Ranking SVM
Multi-task Character-Level Attentional Networks for Medical Concept Normalization
ACP: Automatic Channel Pruning Method by Introducing Additional Loss for Deep Neural Networks
Adaptive identifier for uncertain complex-valued discrete-time nonlinear systems based on recurrent neural networks
On the Internal Representations of Product Units
VISOR: Schema-based scene analysis with structured neural networks
Single-Iteration Training Algorithm for Multi-Layer Feed-Forward Neural Networks
Dynamic Schedule for Effective On-Line Connection Pruning
Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks
New Results on Reachable Sets Bounding for Switched Neural Networks Systems with Discrete, Distributed Delays and Bounded Disturbances
On the Weighted Pseudo-Almost Periodic Solution for BAM Networks with Delays
Order-Dependent Sampling Control of Uncertain Fractional-Order Neural Networks System
Multi-Threshold Neurones Perceptron
Fast learning with incremental RBF networks
Sensor Deployment Scheme Based on Social Spider Optimization Algorithm for Wireless Sensor Networks
On the Design and Implementation of a Neuromorphic Self-Tuning Controller
Community Detection in Complex Networks Using Nonnegative Matrix Factorization and Density-Based Clustering Algorithm
Feature Enhancement-Based Few-Shot Bearing Surface Defect Image Classification Method
Fixed/Prescribed-Time Bipartite Synchronization of Coupled Quaternion-Valued neural Networks with Competitive Interactions
Neo Arithmetic and Ranking Techniques for Trapezoidal Generalized Interval Valued Fuzzy Numbers: Their Applications in Decision Making for Medical Investigation
Supervised Learning Strategy for Spiking Neurons Based on Their Segmental Running Characteristics
Improving the Mean-Field Approximation in Belief Networks Using Bahadur's Reparameterisation of the Multivariate Binary Distribution
Knowledge Graph Attention Network with Attribute Significance for Personalized Recommendation
Geometrically Preserved Dual Projections Learning for Multi-label Classification
A Dynamic Programming Framework for Large-Scale Online Clustering on Graphs
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model
On the Flexible Dynamics Analysis for the Unified Discrete-Time RNNs
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates
Improved Gradient Neural Networks for Solving Moore-Penrose Inverse of Full-Rank Matrix
Global Exponential Stability Analysis of Commutative Quaternion-Valued Neural Networks with Time Delays on Time Scales
Multi-task Pre-training with Soft Biometrics for Transfer-learning Palmprint Recognition
Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features
Learning Linear and Nonlinear PCA with Linear Programming
Training a neuron in sequential learning
A Label Information Aware Model for Multi-label Text Classification
Matrixized Learning Machine with Feature-Clustering Interpolation
Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review
Image Compression by Layered Quantum Neural Networks
Dynamic Trade-Offs in Adversarial Training: Exploring Efficiency, Robustness, Forgetting, and Interpretability
1T Spiking Neuron Using Ferroelectric Junctionless FET with Ultra-Low Energy Consumption of 24 aJ/Spike
A Novel Technique for Segmentation of High Resolution Remote Sensing Images Based on Neural Networks
Joint Reflectance Field Estimation and Sparse Representation for Face Image Illumination Preprocessing and Recognition
Invariance in radial basis function neural networks in human face classification
A Model for the Dynamic Interaction Between Evolution and Learning
Neural Circuit Policies Imposing Visual Perceptual Autonomy
Face Matching in Large Database by Self-Organizing Maps
Classification and Detection of Cancer in Histopathologic Scans of Lymph Node Sections Using Convolutional Neural Network
Cascaded Network Based on EfficientNet and Transformer for Deepfake Video Detection
Contrastive Enhanced Knowledge Distillation for Learning MLPs on GNNs
DCT-Net: A Neurodynamic Approach with Definable Convergence Property for Real-Time Synchronization of Chaotic Systems
A Rough RBF Neural Network Based on Weighted Regularized Extreme Learning Machine
Bifurcation Analysis in a Three-Neuron Artificial Neural Network Model with Distributed Delays
LenM: Improving Low-Resource Neural Machine Translation Using Target Length Modeling
DDV: A Taxonomy for Deep Learning Methods in Detecting Prostate Cancer
Cost Sensitive Semi-Supervised Canonical Correlation Analysis for Multi-view Dimensionality Reduction
Multi-weighted Complex Structure on Fractional Order Coupled Neural Networks with Linear Coupling Delay: A Robust Synchronization Problem
Embedding Connectionist Autonomous Agents in Time: The ?Road Sign Problem?
Cross-Domain Polarity Models to Evaluate User eXperience in E-learning
A Robust Extreme Learning Machine Based on Adaptive Loss Function for Regression Modeling
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Finite-Time Stabilization of Memristive Neural Networks with Time Delays
Smart Animal Detection and Counting Framework for Monitoring Livestock in an Autonomous Unmanned Ground Vehicle Using Restricted Supervised Learning and Image Fusion
Face Recognition Via Weighted Two Phase Test Sample Sparse Representation
Global Asymptotic Stability of Periodic Solutions for Discrete Time Delayed BAM Neural Networks by Combining Coincidence Degree Theory with LMI Method
HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation
Fast and Memory-Efficient Import Vector Domain Description
Long Time Series Deep Forecasting with Multiscale Feature Extraction and Seq2seq Attention Mechanism
Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review
Chaos and Neural Network Learning. Some Observations
Use of some sensitivity criteria for choosing networks with good generalization ability
Lamb Meat Quality Assessment by Support Vector Machines
Finite Time Anti-synchronization of Quaternion-Valued Neural Networks with Asynchronous Time-Varying Delays
Ecological Neural Networks for Object Recognition and Generalization
Multiuser Detection of Synchronous MC-CDMA in Multipath Fading Channels Using Hopfield Neural Networks
A Novel Delay-Dependent Criterion for Global Power Stability of Cellular Neural Networks with Proportional Delay
Mean Square Stabilization of Neural Networks with Weighted Try once Discard Protocol and State Observer
Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps
View-Based 3D Model Retrieval via Multi-graph Matching
Deep Temporal Contrastive Clustering
An Improved Fixed-Time Stability Theorem and its Application to the Synchronization of Stochastic Impulsive Neural Networks
Use of Phase in Brain-Computer Interfaces based on Steady-State Visual Evoked Potentials
Dynamic Feedback Tracking Control for Interval Type-2 T-S Fuzzy Nonlinear System Based on Adaptive Event-Triggered Strategy
Low-Rank Discriminative Adaptive Graph Preserving Subspace Learning
Exponential Stability of Positive Shunting Inhibitory Cellular Neural Networks with Multi-proportional Delays
Unsupervised Domain Adaptation Depth Estimation Based on Self-attention Mechanism and Edge Consistency Constraints
Editorial: Neural Processing Letters Special Issue on "Neural Networks for Vision and Robotics"
Exponential Periodicity of Continuous-time and Discrete-Time Neural Networks with Delays
HMM-based finite-time synchronization of fuzzy jumping neural networks with input constraints and partial information
A method to improve the performance of multilayer perceptron by utilizing various activation functions in the last hidden layer and the least squares method
Cognitive Gravity Model Based Semi-Supervised Dimension Reduction
Texture-Enhanced Framework by Differential Filter-Based Re-parameterization for Super-Resolution on PC/Mobile
Distributed Pinning Impulsive Control for Inner-Outer Synchronization of Dynamical Networks on Time Scales
A New Constructing Rational Functions Method For Solving Lane-Emden Type Equations
DAP 2 CMH: Deep Adversarial Privacy-Preserving Cross-Modal Hashing
Finite-Time and Fixed-Time Synchronization of Inertial Cohen-Grossberg-Type Neural Networks with Time Varying Delays
Incremental Clustering-Based Facial Feature Tracking Using Bayesian ART
Non-negative Matrix Factorization with Pairwise Constraints and Graph Laplacian
Robust Prewhitening for ICA by Minimizing beta -Divergence and Its Application to FastICA
A Graph Contrastive Learning Model Based on Structural and Semantic View for HIN Recommendation
Event-Triggered Distributed Cooperative Learning Algorithms over Networks via Wavelet Approximation
A Parallel Model for Jointly Extracting Entities and Relations
Enhanced Coalescence Backdoor Attack Against DNN Based on Pixel Gradient
Almost Periodic Solutions for SICNNs with Neutral Type Proportional Delays and D Operators
Anti-Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Time-Varying Coefficients
Redundant Hash Addressing of Feature Sequences Using the Self-Organizing Map
A Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition
Layer-Wise Personalized Federated Learning with Hypernetwork
Power Analysis Attacks on NVM Crossbar-based Neuromorphic Systems
Amplitude and Frequency Modulations with Cellular Neural Networks
A Novel Parallel Hybrid Model Based on Series Hybrid Models of ARIMA and ANN Models
Combining Swin Transformer and Attention-Weighted Fusion for Scene Text Detection
Estimation of the Domain of Attraction of Discrete-Time Impulsive Cohen-Grossberg Neural Networks Model With Impulse Input Saturation
A Survey on Adversarial Domain Adaptation
Image Super-Resolution Based on Gated Residual and Gated Convolution Networks
Passivity-Based State Estimation of Markov Jump Singularly Perturbed Neural Networks Subject to Sensor Nonlinearity and Partially Known Transition Rates
Can Global Strategy Outperform Myopic Strategy in Bayesian Sequential Design?
A Unified Asymmetric Knowledge Distillation Framework for Image Classification
Dimensionality Reduction Using Discriminant Collaborative Locality Preserving Projections
Stability and Hopf Bifurcation Analysis of a General Tri-diagonal BAM Neural Network with Delays
Text-Dependent Speaker Identification Based on Input/Output HMMs: An Empirical Study
Attacking Object Detector by Simultaneously Learning Perturbations and Locations
Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models
Power-Rate Synchronization of Fractional-Order Nonautonomous Neural Networks with Heterogeneous Proportional Delays
Stability Analysis of Deep Belief Network: Based SD-AR Model for Nonlinear Time Series
Fuzzy One-Class Extreme Auto-encoder
Estimation of the Lipschitz Norm with Neural Networks
A Note on Liao's Recurrent Neural-Network Learning for Discrete Multi-stage Optimal Control Problems
Densely Connected Dilated Residual Network for Image Denoising: DDR-Net
Efficient Vector Quantization Using the WTA-Rule with Activity Equalization
Simple and Robust Locality Preserving Projections Based on Maximum Difference Criterion
Non-negative Matrix Factorization with Symmetric Manifold Regularization
Multi-focus Image Fusion Based on the Improved PCNN and Guided Filter
A learning algorithm for Recurrent Radial Basis Function Networks
Local Structure Preservation for Nonlinear Clustering
Maharadja: A System for the Real Time Simulation of RBF with the Mahalanobis Distance
NV2P-RCNN: Feature Aggregation Based on Voxel Neighborhood for 3D Object Detection
Expansive and Competitive Learning for Vector Quantization
On Chaotic Neural Network Design: A New Framework
Identification of Nonlinear Dynamical System Based on Raised-Cosine Radial Basis Function Neural Networks
CloudU-Netv2: A Cloud Segmentation Method for Ground-Based Cloud Images Based on Deep Learning
Hybrid Optimization Algorithms for Resource Allocation in Heterogeneous Cognitive Radio Networks
Jacobi Neural Network Method for Solving Linear Differential-Algebraic Equations with Variable Coefficients
The Influence of Photo-Detector Non-Linearity on the Multi-Functionality of an Opto-Electronic Cellular Neural Network
Traversability Learning from Aerial Images with Fully Convolutional Neural Networks
A Robust Sentiment Analysis Method Based on Sequential Combination of Convolutional and Recursive Neural Networks
A Neural Network Based Framework for Directional Primitive Extraction
Processing and Transmission of Confidence in Recurrent Neural Hierarchies
Piecewise Pseudo Almost Periodic Solution for Impulsive Generalised High-Order Hopfield Neural Networks with Leakage Delays
Fuzzy Min-Max Neural Network for Learning a Classifier with Symmetric Margin
Injecting Chaos in Feedforward Neural Networks
A Complex-valued Encoding Bat Algorithm for Solving 0-1 Knapsack Problem
Clustered Recursive Branching Network
A Sigma Pi Sigma Neural Network (SPSNN)
A Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices
Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning
Asynchronous H ∞ Filtering for Singular Markov Jump Neural Networks with Mode-Dependent Time-Varying Delays
Fractional-Neuro-Optimizer: A Neural-Network-Based Optimization Method
Multimodal Orthodontic Corpus Construction Based on Semantic Tag Classification Method
PEB-TAXO: Projecting Entities as Boxes for Taxonomy Expansion
On H ∞ Finite-Time Boundedness and Finite-Time Stability for Discrete-Time Neural Networks with Leakage Time-Varying Delay
Equilibrium Analysis for Improved Signal Range Model of Delayed Cellular Neural Networks
Non-separation Method-Based Global Stability Criteria for Takagi-Sugeno Fuzzy Quaternion-Valued BAM Delayed Neural Networks Using Quaternion-valued Auxiliary Function-Based Integral Inequality
Conditional Generative Adversarial Networks with Multi-scale Discriminators for Prostate MRI Segmentation
A Neurodynamic Approach for Solving E-Convex Interval-Valued Programming
Robust Subspace Clustering via Latent Smooth Representation Clustering
Multistability of Quaternion-Valued Recurrent Neural Networks with Discontinuous Nonmonotonic Piecewise Nonlinear Activation Functions
Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes
LGADet: Light-weight Anchor-free Multispectral Pedestrian Detection with Mixed Local and Global Attention
Deep Constraints Space of Medium Modality for RGB-Infrared Person Re-identification
A Neural Chaos Model of Multistable Perception
Measuring Entity Relatedness via Entity and Text Joint Embedding
Value Creation for Healthcare Ecosystems through Artificial Intelligence Applied to Physician-to-Physician Communication: A Systematic Review
A Robot Ground Medium Classification Algorithm Based on Feature Fusion and Adaptive Spatio-Temporal Cascade Networks
CFGPFSR: A Generative Method Combining Facial and GAN Priors for Face Super-Resolution
Multi-Domain Transfer Component Analysis for Domain Generalization
Adaptive Synchronization Control and Parameters Identification for Chaotic Fractional Neural Networks with Time-Varying Delays
Systematic Homonym Detection and Replacement Based on Contextual Word Embedding
Learning Based Complexity Evaluation of Radial Basis Function Networks
AMGAN: An Attribute-Matched Generative Adversarial Network for UAV Virtual Sample Generation
A Cluster Splitting Technique by Hopfield Networks and P Systems on Simplices
Intra- and Inter-modal Multilinear Pooling with Multitask Learning for Video Grounding
Li-Function Activated Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality
Global Robust Exponential Stability for Interval Delayed Neural Networks with Possibly Unbounded Activation Functions
Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace
New Results on Exponential Convergence for Cellular Neural Networks with Continuously Distributed Leakage Delays
Semantic Spectral Clustering with Contrastive Learning and Neighbor Mining
Stability and Hopf Bifurcation Analysis of A Fractional-Order BAM Neural Network with Two Delays Under Hybrid Control
Using Locality Preserving Projections to Improve the Performance of Kernel Clustering
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Lung Cancer Prediction Using Stochastic Diffusion Search (SDS) Based Feature Selection and Machine Learning Methods
Fixed-Time Fuzzy Adaptive Tracking Control for Output-Constrained Uncertain Nonlinear Systems in Nonstrict-Feedback Form