yusuke1997/dblp-id-title huggingface dataset:
GraphSAGE++: Weighted Multi-scale GNN for Graph Representation Learning
Multi-view Sparse Vector Decomposition to Deal with Missing Values in Alcohol Dependence Study
Co-Learning for Few-Shot Learning
Finite-Time Synchronization of Hybrid-Coupled Delayed Dynamic Networks via Aperiodically Intermittent Control
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks
Steganography of Digital Watermark Based on Artificial Neural Networks in Image Communication and Intellectual Property Protection
Video Captioning Based on Cascaded Attention-Guided Visual Feature Fusion
Incremental Learning with Respect to New Incoming Input Attributes
Research on Event Target Recognition Based on DRUNet and Multi-scale Attention
Factor Augmented Artificial Neural Network Model
Local Experts Organization Model for Natural Scene Images Classification
Boundedness and Convergence of Mini-batch Gradient Method with Cyclic Dropconnect and Penalty
A Multi-prototype Capsule Network for Image Recognition with High Intra-class Variations
Sign Normalised Hammerstein Spline Adaptive Filtering Algorithm in an Impulsive Noise Environment
A New Adaptive Robust Modularized Semi-Supervised Community Detection Method Based on Non-negative Matrix Factorization
Estimation of 6D Pose of Objects Based on a Variant Adversarial Autoencoder
Recognising Simple Behaviours Using Time-Delay RBF Networks
Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series
Finite-Time L ∞ Performance State Estimation of Recurrent Neural Networks with Sampled-Data Signals
Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering
Nested Entity Recognition Method Based on Multidimensional Features and Fuzzy Localization
Meaningful Learning for Deep Facial Emotional Features
Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks
Neuro-Evolutionary Computing Paradigm for the SIR Model Based on Infection Spread and Treatment
Zhang Neural Dynamics Approximated by Backward Difference Rules in Form of Time-Delay Differential Equation
A Neural Network Model of Semantic Processing Errors in Parkinson's Disease
New Criteria on Exponential Lag Synchronization of Switched Neural Networks with Time-Varying Delays
Kernel Nearest Neighbor Algorithm
A Design and Analysis of Objective Function-Based Unsupervised Neural Networks for Fuzzy Clustering
Convolutional Shrinkage Neural Networks Based Model-Agnostic Meta-Learning for Few-Shot Learning
Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm
A Primal Framework for Indefinite Kernel Learning
LCDA-Net: Efficient Image Dehazing with Contrast-Regularized and Dilated Attention
A Parallel Image Skeletonizing Method Using Spiking Neural P Systems with Weights
Joint Robust Multi-view Spectral Clustering
A Neural Network with Evolutionary Neurons
Heavy-Head Sampling for Fast Imitation Learning of Machine Learning Based Combinatorial Auction Solver
A Simplified Neural Network for Linear Matrix Inequality Problems
An Abstract Painting Generation Method Based on Deep Generative Model
Adaptative time constants improve the prediction capability of recurrent neural networks
On the Relationship Between the Support Vector Machine for Classification and Sparsified Fisher's Linear Discriminant
Neural Networks Pipeline for Offline Machine Printed Arabic OCR
Exponential Synchronization for Discrete-Time Delayed Neural Networks via Memory-Based Saturated Controller
Equivalence between some dynamical systems for optimization
Improved Condition for ISS of Stochastic Memristive Fuzzy Cohen-Grossberg BAM Neural Networks with Time-Varying Delays
Dynamic Head-on Robot Collision Avoidance Using LSTM
A Cognitive Architecture Based on a Learning Classifier System with Spiking Classifiers
Adaptive Synchronization-Based Approach for Finite-Time Parameters Identification of Genetic Regulatory Networks
Adaptive Graph Learning for Semi-supervised Self-paced Classification
Stability and Hopf Bifurcation of Time Fractional Cohen-Grossberg Neural Networks with Diffusion and Time Delays in Leakage Terms
Asymmetric k-Means Clustering of the Asymmetric Self-Organizing Map
Hessian Regularized Distance Metric Learning for People Re-Identification
Non-linear Time Series Prediction using Improved CEEMDAN, SVD and LSTM
Robust Support Vector Regression in Primal with Asymmetric Huber Loss
A Novel Architecture with Separate Comparison and Interaction Modules for Chinese Semantic Sentence Matching
Image Super-Resolution Using a Simple Transformer Without Pretraining
State Estimation for Discrete-Time Neural Networks with Markov-Mode-Dependent Lower and Upper Bounds on the Distributed Delays
Fusing Convolution and Self-Attention Parallel in Frequency Domain for Image Deblurring
Sequence in Hybridization of Statistical and Intelligent Models in Time Series Forecasting
Obtaining Fault Tolerant Multilayer Perceptrons Using an Explicit Regularization
Determining initial weights of feedforward neural networks based on least squares method
Improved GNN Models for Constant Matrix Inversion
Associative Memories in Infinite Dimensional Spaces
Routing Algorithm for Underwater Acoustic Sensor Network
LeCaSiM: Learning Causal Structure via Inverse of M-Matrices with Adjustable Coefficients
Concept-Oriented Self-Explaining Neural Networks
CNN-Based Hidden-Layer Topological Structure Design and Optimization Methods for Image Classification
A Neural Control System of a Two Joints Robot for Visual Conferencing
Prototype Representation Expansion in Incremental Learning
A Multi-Task BERT-BiLSTM-AM-CRF Strategy for Chinese Named Entity Recognition
Use of a Modified Threshold Function in Fuzzy Cognitive Maps for Improved Failure Mode Identification
Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap
Independent Component Analysis for Time-dependent Processes Using AR Source Model
Adaboost-based Integration Framework Coupled Two-stage Feature Extraction with Deep Learning for Multivariate Exchange Rate Prediction
Augmenting Textbooks with cQA Question-Answers and Annotated YouTube Videos to Increase Its Relevance
RETRACTED ARTICLE: A Measurement Approach Using Smart-IoT Based Architecture for Detecting the COVID-19
Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm
Few-Shot Object Detection Based on Global Domain Adaptation Strategy
Correction: A New Evolutionary Ensemble Learning of Multimodal Feature Selection from Microarray Data
Enhanced Bird Detection from Low-Resolution Aerial Image Using Deep Neural Networks
Supervised Training Using an Unsupervised Approach to Active Learning
Asynchronous Spiking Neural P Systems with Anti-Spikes
ℋ ∞ Filtering for Nonlinear Discrete-time Singular Systems in Encrypted State
Heterogeneous Tri-stream Clustering Network
A Novel Gaussian-Bernoulli Based Convolutional Deep Belief Networks for Image Feature Extraction
A simplified MMC model for the control of an arm with redundant degrees of freedom
Dynamic Analysis of Stochastic Recurrent Neural Networks
Selective Algorithm Outline (SAO); An Alternative Approach for Fusing Different Palm-Print Recognition Algorithms
Intelligent Crime Prevention and Control Big Data Analysis System Based on Imaging and Capsule Network Model
Extracting Rules from Composite Neural Networks for Medical Diagnostic Problems
Associative Gray Level Pattern Processing using Binary Decomposition and alpha beta Memories
Improved Particle Swarm Optimization on Based Quantum Behaved Framework for Big Data Optimization
iMLP: Applying Multi-Layer Perceptrons to Interval-Valued Data
A Pattern Adaptive Technique to Handle Data Quality Variation
On the Computational Power of Max-Min Propagation Neural Networks
A Normalized Probabilistic Expectation-Maximization Neural Network for Minimizing Bayesian Misclassification Cost Risk
Projective Synchronization of Inertial Quaternion-Valued Neural Networks via Non-reduced Order Approach
A Modified Semi-Supervised Learning Algorithm on Laplacian Eigenmaps
A Computationally Efficient Received Signal Strength Based Localization Algorithm in Closed-Form for Wireless Sensor Network
Swin-Fusion: Swin-Transformer with Feature Fusion for Human Action Recognition
How Does Bayesian Noisy Self-Supervision Defend Graph Convolutional Networks?
DRFS: Detecting Risk Factor of Stroke Disease from Social Media Using Machine Learning Techniques
Neural Circuit Policies for Virtual Character Control
Associative Memory Realized by Reconfigurable Coupled Three-Cell CNNs
FSFADet: Arbitrary-Oriented Ship Detection for SAR Images Based on Feature Separation and Feature Alignment
Pinning Adaptive and Exponential Synchronization of Fractional-Order Uncertain Complex Neural Networks with Time-Varying Delays
Periodic Stability on a Class of D-Operator-Based Neutral-Type Rayleigh Equations Accompanying Mixed Delays
Reinforcement Learning with Decoupled State Representation for Robot Manipulations
Learning Reliable Dense Pseudo-Labels for Point-Level Weakly-Supervised Action Localization
A Constructive Approach to Calculating Lower Entropy Bounds
Stability Analysis of Stochastic Fuzzy Cellular Neural Networks With Time-Varying Delays and Reaction-Diffusion Terms
Policy Optimization Algorithm with Activation Likelihood-Ratio for Multi-agent Reinforcement Learning
Stabilization of Switched Stochastic Genetic Regulatory Networks with Leakage and Impulsive Effects
A Privacy Preserving Based Multi-Biometric System for Secure Identification in Cloud Environment
Mixture Density Estimation Based on Maximum Likelihood and Sequential Test Statistics
Neural Net Based H infin Control for a Class of Nonlinear Systems
Retraction Note: Cerebrum Tumor Segmentation of High Resolution Magnetic Resonance Images Using 2D-Convolutional Network with Skull Stripping
An Energy-Aware Trust and Opportunity Based Routing Algorithm in Wireless Sensor Networks Using Multipath Routes Technique
Quantitative Analysis in Delayed Fractional-Order Neural Networks
Sequential Extraction of Minor Components
Bipartite Synchronization Analysis of Fractional Order Coupled Neural Networks with Hybrid Control
AR-ARCH Type Artificial Neural Network for Forecasting
Online Learning Algorithms for Double-Weighted Least Squares Twin Bounded Support Vector Machines
CLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network
A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks
A Multi-resolution Approximation for Time Series
A Novel Enhanced Naïve Bayes Posterior Probability (ENBPP) Using Machine Learning: Cyber Threat Analysis
MGSGA: Multi-grained and Semantic-Guided Alignment for Text-Video Retrieval
Single Image Deraining by Fully Exploiting Contextual Information
Spiral Aquila Optimizer Based on Dynamic Gaussian Mutation: Applications in Global Optimization and Engineering
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization
Facial Expression Recognition Based on Depth Fusion and Discriminative Association Learning
Approximation and Estimation Bounds for Subsets of Reproducing Kernel Kreǐn Spaces
Complementary Boundary Estimation Network for Temporal Action Proposal Generation
Using Laplacian Eigenmap as Heuristic Information to Solve Nonlinear Constraints Defined on a Graph and Its Application in Distributed Range-Free Localization of Wireless Sensor Networks
Hybrid Impulsive Control Based Synchronization of Leakage and Multiple Delayed Fractional-Order Neural Networks with Parameter Mismatch
On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models
Co-attention Based Feature Fusion Network for Spam Review Detection on Douban
A Vary-Parameter Convergence-Accelerated Recurrent Neural Network for Online Solving Dynamic Matrix Pseudoinverse and its Robot Application
P &GGD: A Joint-Way Model Optimization Strategy Based on Filter Pruning and Filter Grafting For Tea Leaves Classification
Supervoxel Segmentation and Bias Correction of MR Image with Intensity Inhomogeneity
Enhancing Least Square Support Vector Regression with Gradient Information
Estimating the Penetration Rate in Diamond Drilling in Laboratory Works Using the Regression and Artificial Neural Network Analysis
Global Asymptotic Periodic Synchronization for Delayed Complex-Valued BAM Neural Networks via Vector-Valued Inequality Techniques
Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images
A Temporal Model of Linear Anti-Hebbian Learning
An Improved Competitive Swarm Optimizer with Super-Particle-Leading
A New Sufficient Condition for Global Robust Stability of Delayed Neural Networks
Concept Learning Using Vague Concept Lattice
A Neuro-Dynamic Programming-Based Optimal Controller for Tomato Seedling Growth in Greenhouse Systems
Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human
A Layer-by-Layer Least Squares based Recurrent Networks Training Algorithm: Stalling and Escape
Diffusion Modelling
A New Lyapunov Function Method to the Fixed-Time Cluster Synchronization of Directed Community Networks
Extension of a Kernel-Based Classifier for Discriminative Spoken Keyword Spotting
Stability of Memristor-based Fractional-order Neural Networks with Mixed Time-delay and Impulsive
COREN: Multi-Modal Co-Occurrence Transformer Reasoning Network for Image-Text Retrieval
Finite-Time Stability and Synchronization of the Coupled Switched Neural Networks with Nodes of Different Dimensions
SiamMLT: Siamese Hybrid Multi-layer Transformer Fusion Tracker
Reduced Rank Kernel Ridge Regression
CTCTime: A New Model for Unidimensional Time Series Classification
MCCP: Multi-Collaboration Channel Pruning for Model Compression
Ownership Recommendation via Iterative Adversarial Training
Temporal Kohonen Map and the Recurrent Self-Organizing Map: Analytical and Experimental Comparison
An adaptive geometrical procedure for blind separation of sources
Stability of Fractional Reaction-Diffusion Memristive Neural Networks Via Event-Based Hybrid Impulsive Controller
A Review: One-Shot Object Detection Methods for Conditional Detection of Retail and Warehouse Products
Bifurcation Behavior for an Electronic Neural Network Model with Two Different Delays
Self-Enhanced Attention for Image Captioning
Sequential POI Recommend Based on Personalized Federated Learning
Multi-Type Synchronization for Second-Order Memristive Neural Networks with Mixed Time-Varying Delays
Learning independent components on the orthogonal group of matrices by retractions
Context Module Based Multi-patch Hierarchical Network for Motion Deblurring
Synchronization Control of Quaternion-Valued Neural Networks with Parameter Uncertainties
Adaptive Inverse Control of Excitation System with Actuator Uncertainty
A Forced Decoding-based Approach for Enhancing Low-resource ASR
Further Results on Input-to-State Stability of Stochastic Cohen-Grossberg BAM Neural Networks with Probabilistic Time-Varying Delays
Self Organizing Transient Chaotic Neural Network for Cellular Channel Assignment
LSTM 2 : Multi-Label Ranking for Document Classification
A Multi-strategy Enhanced Arithmetic Optimization Algorithm and Its Application in Path Planning of Mobile Robots
Spatial Point-Data Reduction Using Pulse Coupled Neural Network
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection
Approximately Optimal Control of Discrete-Time Nonlinear Switched Systems Using Globalized Dual Heuristic Programming
Deep Captioning with Attention-Based Visual Concept Transfer Mechanism for Enriching Description
Feature Selection for Recognition of Online Handwritten Bangla Characters
Online Training for Open Faulty RBF Networks
Preassigned-Time Synchronization of Delayed Fuzzy Cellular Neural Networks with Discontinuous Activations
A Divide-and-Conquer Learning Approach to Radial Basis Function Networks
Regularized Matrix-Pattern-Oriented Classification Machine with Universum
HOFT-MP: A Multipath Routing Algorithm Using Hybrid Optimal Fault Tolerant System for WSNs Using Optimization Techniques
Common Spatial Pattern with L21-Norm
Fisher Difference Discriminant Analysis: Determining the Effective Discriminant Subspace Dimensions for Face Recognition
Finite-Time and Fixed-Time Stabilization Control of Delayed Memristive Neural Networks: Robust Analysis Technique
A Novel Neurodynamic Model for Data Envelopment Analysis: A Case Study on Iran's Olympic Sports Caravan
Associative Clustering for Clusters of Arbitrary Distribution Shapes
Constrained RTRL To Reduce Learning Rate and Forgetting Phenomenon
Speeding up the Training of Neural Networks with the One-Step Procedure
H ∞ Estimation for Markovian Jump Neural Networks With Quantization, Transmission Delay and Packet Dropout
Fisher Discriminative Coupled Dictionaries Learning
Application of DQN-IRL Framework in Doudizhu's Sparse Reward
On the statistical physics of radial basis function networks
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time
Wasserstein Distance-Based Auto-Encoder Tracking
Multichannel Matrix Randomized Autoencoder
Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities
Global Asymptotic Stability of Anti-Periodic Solutions of Time-Delayed Fractional Bam Neural Networks
Application of Hyperspectral Image Classification Based on Overlap Pooling
A Topic Inference Chinese News Headline Generation Method Integrating Copy Mechanism
Singularity and Slow Convergence of the EM algorithm for Gaussian Mixtures
An Efficient Dataflow Mapping Method for Convolutional Neural Networks
Three-Way Decision Enhanced Graph Convolutional Networks for Text Classification
The Continuous Interpolating Self-organizing Map
Synchronization of Fractional Order Neutral Type Fuzzy Cellular Neural Networks with Discrete and Distributed Delays via State Feedback Control
Anti-synchronization Control of Memristive Neural Networks with Multiple Proportional Delays
Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting
A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification
An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance
Smoothed Bagging with Kernel Bandwidth Selectors
Primal-Dual Monotone Kernel Regression
Multi-Delay-Dependent Exponential Synchronization for Neutral-Type Stochastic Complex Networks with Markovian Jump Parameters via Adaptive Control
Fixed/Preassigned-Time Synchronization of Complex Variable BAM Neural Networks with Time-Varying Delays
A Multi-Joint Continuous Motion Estimation Method of Lower Limb Using Least Squares Support Vector Machine and Zeroing Neural Network based on sEMG signals
Learning Imbalanced Classifiers Locally and Globally with One-Side Probability Machine
Global Robust Exponential Stability of Interval BAM Neural Network with Mixed Delays under Uncertainty
Mode and Delay-dependent Stochastic Stability Conditions of Fuzzy Neural Networks with Markovian Jump Parameters
Active Foreground Region Extraction and Tracking for Sports Video Annotation
Hierarchical Temporal Fusion of Multi-grained Attention Features for Video Question Answering
Master-Slave Finite-Time Synchronization of Chaotic Fractional-Order Neural Networks under Hybrid Sampled-Data Control: An LMI Approach
Res-CapsNet: Residual Capsule Network for Data Classification
Multi-layer Adaptive Feature Fusion for Semantic Segmentation
Optimizing Extreme Learning Machine via Generalized Hebbian Learning and Intrinsic Plasticity Learning
A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks
A Novel Pruning Algorithm for Optimizing Feedforward Neural Network of Classification Problems
A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification
Spiking Equilibrium Convolutional Neural Network for Spatial Urban Ontology
An IoT and Machine Learning Based Intelligent System for the Classification of Therapeutic Plants
A Multiple Graph Label Propagation Integration Framework for Salient Object Detection
HoINT: Learning Explicit and Implicit High-order Feature Interactions for Click-through Rate Prediction
TSVMPath: Fast Regularization Parameter Tuning Algorithm for Twin Support Vector Machine
Enhancing Semi Supervised Semantic Segmentation Through Cycle-Consistent Label Propagation in Video
Neural Network-Based Hybrid Position/Force Tracking Control for Robotic Systems Without Velocity Measurement
Active Learning with Local Models
Parkinsons Detection from Gait Time Series Classification Using Modified Metaheuristic Optimized Long Short Term Memory
Bifurcation Analysis of Delayed Complex-Valued Neural Network with Diffusions
Multithreshold Image Segmentation Technique Using Remora Optimization Algorithm for Diabetic Retinopathy Detection from Fundus Images
VR Design of Public Facilities in Historical Blocks Based on BP Neural Network
Delta-Differentiable Weighted Pseudo-Almost Automorphicity on Time-Space Scales for a Novel Class of High-Order Competitive Neural Networks with WPAA Coefficients and Mixed Delays
Feature Extraction Using a Complete Kernel Extension of Supervised Graph Embedding
An Intuitionistic Fuzzy Random Vector Functional Link Classifier
Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling
An Improved Deep Clustering Model for Underwater Acoustical Targets
Exponential Stability of Weighted Pseudo Almost Periodic Solutions for HCNNs with Mixed Delays
Bi-directional LSTM Model with Symptoms-Frequency Position Attention for Question Answering System in Medical Domain
Exponential Synchronization of Inertial Memristor-Based Neural Networks with Time Delay Using Average Impulsive Interval Approach
Time Series Prediction Based on LSTM and High-Order Fuzzy Cognitive Map with Attention Mechanism
Second-Order Step-Size Tuning of SGD for Non-Convex Optimization
Face Recognition Using A Low Rank Representation Based Projections Method
A Transferred Daily Activity Recognition Method Based on Sensor Sequences
Fixed-Time Synchronization of Neural Networks with Parameter Uncertainties via Quantized Intermittent Control
Invariant Recognition of Spatio Temporal Patterns in The Olfactory System Model
Towards the Optimal Learning Rate for Backpropagation
Weighted Pseudo Almost-Automorphic Solutions of Quaternion-Valued RNNs With Mixed Delays
Use of Neural Network Based Prediction Algorithms for Powering Up Smart Portable Accessories
A Fast Multiclass Classification Algorithm Based on Cooperative Clustering
PT-CNN: A Non-linear Lightweight Texture Image Classifier
Fractional-Order Embedding Supervised Canonical Correlations Analysis with Applications to Feature Extraction and Recognition
Cascade Attentive Dropout for Weakly Supervised Object Detection
Rolling Bearing Fault Diagnosis Method Based on Attention CNN and BiLSTM Network
Time Series Classification Based on Image Transformation Using Feature Fusion Strategy
Hebbian Learning with Kernel-Based Embedding of Input Data
A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
Feedforward Neural Networks Based Input-Output Models for Railway Carriage System Identification
Decentralized Event-Triggered Exponential Stability for Uncertain Delayed Genetic Regulatory Networks with Markov Jump Parameters and Distributed Delays
Distance Enhanced Hypergraph Learning for Dynamic Node Classification
Self-Organizing Maps and Learning Vector Quantization for Feature Sequences
Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting
Dynamic Event-Triggered Passive Synchronization for Mode-Dependent Persistent Dwell-Time Switched Neural Networks Subject to DoS Attacks
The Study of Sailors' Brain Activity Difference Before and After Sailing Using Activated Functional Connectivity Pattern
Finger Vein De-noising Algorithm Based on Custom Sample-Texture Conditional Generative Adversarial Nets