yusuke1997/dblp-id-title huggingface dataset:
(μ , ν )-Pseudo Almost Automorphic Solutions of Neutral Type Clifford-Valued High-Order Hopfield Neural Networks with D Operator
A Method of Accelerating Neural Network Learning
ORCNet: A Context-Based Network to Simultaneously Segment the Ocular Region Components
Image Caption with Endogenous-Exogenous Attention
Multi-view Opinion Mining with Deep Learning
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
Pattern Control of Neural Networks with Two-Dimensional Diffusion and Mixed Delays
HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation
Improved Representation-burden Conservation Network for Learning Non-stationary VQ
Ghost-Connect Net: A Generalization-Enhanced Guidance for Sparse Deep Networks Under Distribution Shifts
A Novel Hybrid Sampling Method ESMOTE+SSLM for Handling the Problem of Class Imbalance with Overlap in Financial Distress Detection
Robust State Estimation for Delayed Complex-Valued Neural Networks
Time Series Prediction of ESN Based on Chebyshev Mapping and Strongly Connected Topology
A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics
A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation
Mean-Square Exponential Input-to-State Stability of Stochastic Gene Regulatory Networks with Multiple Time Delays
Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder
Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships
Gauge Neural Network with Z(2) Synaptic Variables: Phase Structure and Simulation of Learning and Recalling Patterns
Guaranteed Cost Anti-windup Stabilization of Discrete Delayed Cellular Neural Networks
Existence, Uniqueness and Stability of Mild Solutions to a Stochastic Nonlocal Delayed Reaction-Diffusion Equation
Aggregating Deep Features of Multi-CNN Models for Image Retrieval
An Efficient Partition of Training Data Set Improves Speed and Accuracy of Cascade-correlation Algorithm
A Novel Approach Solving for Linear Matrix Inequalities Using Neural Networks
Finite-Time Boundedness Analysis of Memristive Neural Network with Time-Varying Delay
Improving the Counterpropagation network performances
Dialogue Specific Pre-training Tasks for Improved Dialogue State Tracking
Retraction Note: Burn Image Recognition of Medical Images Based on Deep Learning: From CNNs to Advanced Networks
μ-Synchronization of Complex Networks with Unbounded Delay Under Hybrid Impulsive Control
Stochastic Resonance in Recurrent Neural Network with Hopfield-Type Memory
Traffic Signs Detection for Real-World Application of an Advanced Driving Assisting System Using Deep Learning
A New Learning Algorithm Using Simultaneous Perturbation with Weight Initialization
Dynamical Behavior of Complex-Valued Hopfield Neural Networks with Discontinuous Activation Functions
Multi-view Self-supervised Learning and Multi-scale Feature Fusion for Automatic Speech Recognition
Scale-Aware Regional Collective Feature Enhancement Network for Scene Object Detection
Construction of Retinal Vessel Segmentation Models Based on Convolutional Neural Network
Daily Activity Feature Selection in Smart Homes Based on Pearson Correlation Coefficient
Pseudo Almost Periodic Solutions for SICNNs with Leakage Delays and Complex Deviating Arguments
Two Matrix-Type Projection Neural Networks for Matrix-Valued Optimization with Application to Image Restoration
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss
Financial Distress Prediction with a Novel Diversity-Considered GA-MLP Ensemble Algorithm
Simplified Multi-head Mechanism for Few-Shot Remote Sensing Image Classification
Multi-parallel Extreme Learning Machine with Excitatory and Inhibitory Neurons for Regression
A Hybrid VAE Based Network Embedding Method for Biomedical Relation Mining
Self-Supervised Convolutional Subspace Clustering Network with the Block Diagonal Regularizer
Robust SVM for Cost-Sensitive Learning
PANet: Pluralistic Attention Network for Few-Shot Image Classification
Robustness analysis of exponential stability of fuzzy inertial neural networks through the estimation of upper limits of perturbations
Prediction of Heart Attacks Using Biological Signals Based on Recurrent GMDH Neural Network
A Fuzzy-Related Thesaurus for Query Refinement
A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification
An Efficient Galactic Swarm Optimization Based Fractal Neural Network Model with DWT for Malignant Melanoma Prediction
Robust Stability of Markovian Jump Stochastic Neural Networks with Time Delays in the Leakage Terms
Weakly Supervised Object Detection Based on Active Learning
Subspace Clustering via Integrating Sparse Representation and Adaptive Graph Learning
An RCE-based Associative Memory with Application to Human Face Recognition
Recurrent Sigma-Pi-linked back-propagation network
Fixed-Time Lag Synchronization Analysis for Delayed Memristor-Based Neural Networks
Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network
Properties of a Batch Training Algorithm for Feedforward Networks
Daily Urban Water Demand Forecasting Based on Chaotic Theory and Continuous Deep Belief Neural Network
Convergence of Quasi-Newton Method for Fully Complex-Valued Neural Networks
CB3: An Adaptive Error Function for Backpropagation Training
Mapping and Consolidation of VMs Using Locust-Inspired Algorithms for Green Cloud Computing
A Novel Spatial Analysis Method for Remote Sensing Image Classification
DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning
Dissipativity Analysis of Memristive Inertial Competitive Neural Networks with Mixed Delays
Product Demand Forecasting with a Novel Fuzzy CMAC
CALText: Contextual Attention Localization for Offline Handwritten Text
Learning Biased SVM with Weighted Within-Class Scatter for Imbalanced Classification
Spatiotemporal Behavior of Small-World Neuronal Networks Using a Map-Based Model
User's Review Habits Enhanced Hierarchical Neural Network for Document-Level Sentiment Classification
Hierarchical Patch Aggregation Transformer for Motion Deblurring
Synchronization of Non-Identical Unknown Chaotic Delayed Neural Networks Based on Adaptive Sliding Mode Control
Concave-Convex Programming for Ramp Loss-Based Maximum Margin and Minimum Volume Twin Spheres Machine
Exploring Dual Coupledness for Effective Pruning in Object Detection
Text-Vision Relationship Alignment for Referring Image Segmentation
Bayesian invariant measurements of generalization
Asymptotic Stability and Polynomial Stability of Impulsive Cohen-Grossberg Neural Networks with Multi-proportional Delays
Iterative pruning in second-order recurrent neural networks
Facial Expression Recognition Based on Spatial-Temporal Fusion with Attention Mechanism
An Efficient and Effective Multiple Empirical Kernel Learning Based on Random Projection
PCA Based Dimensional Data Reduction and Segmentation for DICOM Images
A Novel Regularization Paradigm for the Extreme Learning Machine
Bayesian Cell Force Estimation Considering Force Directions
Inverse Back Analysis Based on Evolutionary Neural Networks for Underground Engineering
Passivity Analysis of Non-autonomous Discrete-Time Inertial Neural Networks with Time-Varying Delays
Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load
Using a New Model of Recurrent Neural Network for Control
Invariant and Attracting Sets of Complex-Valued Neural Networks with Both Time-Varying and Infinite Distributed Delays
Evaluating Various Tokenizers for Arabic Text Classification
Supervised Dictionary Learning with Smooth Shrinkage for Image Denoising
SFA: Efficient Attention Mechanism for Superior CNN Performance
Associative Learning of Integrate-and-Fire Neurons with Memristor-Based Synapses
Enhancing Deep Learning with Resilient Adversarial Network (RANet): An Advanced Adversarial Resilience Training Framework for Robust Image Classification
A general exploratory projection pursuit network
Soft Margin Based Low-Rank Audio Signal Classification
Leader-Following Consensus of Fractional-Order Uncertain Multi-Agent Systems with Time Delays
Semantic Image Segmentation with Feature Fusion Based on Laplacian Pyramid
Within-Class Constraint Based Multi-task Autoencoder for One-Class Classification
RBF Network Methods for Face Detection and Attentional Frames
Information-Minimizing Generative Adversarial Network for Fair Generation and Classification
Parametric Amplification of Signals by Noise in Neurons and Neural Networks
Stacked Marginal Time Warping for Temporal Alignment
A parametric density model for blind source separation
A Targeted Universal Attack on Graph Convolutional Network by Using Fake Nodes
Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning
Research for an Adaptive Classifier Based on Dynamic Graph Learning
Impact Analysis of the Memristor Failure on Real-Time Control System of Robotic Arm
An Adaptive Extreme Learning Machine for Modeling NOx Emission of a 300 MW Circulating Fluidized Bed Boiler
An Improved Flower Pollination Algorithm with Three Strategies and Its Applications
A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation
Dense-Gated Network for Image Super-Resolution
Exponential Stability and Sampled-Data Synchronization of Delayed Complex-Valued Memristive Neural Networks
On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions
A Robust Segmentation Method Based on Improved U-Net
Forecast Combination by Using Artificial Neural Networks
A Novel Neural Metric Based on Deep Boltzmann Machine
A Centered Convolutional Restricted Boltzmann Machine Optimized by Hybrid Atom Search Arithmetic Optimization Algorithm for Sentimental Analysis
A Novel Flower Pollination Algorithm for Modeling the Boiler Thermal Efficiency
ENAMeL: A Language for Binary Correlation Matrix Memories - Reducing the Memory Constraints of Matrix Memories
Counter Propagation Network Based Extreme Learning Machine
Target Oriented Dynamic Adaption for Cross-Domain Few-Shot Learning
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function
Network-Based H ∞ Filtering for Descriptor Markovian Jump Systems with a Novel Neural Network Event-Triggered Scheme
Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review
Truncation: A New Approach to Neural Network Reduction
Corpus Analysis Using Relaxed Conjugate Gradient Neural Network Training Algorithm
A Real-Time Cardiac Arrhythmia Classification Using Hybrid Combination of Delta Modulation, 1D-CNN and Blended LSTM
A Fine-Grained Entity Typing Method Combined with Features
Finite-Time Stability of Inertial Neural Networks with Delayed Impulses
Hybrid Optimized Deep Neural Network with Enhanced Conditional Random Field Based Intrusion Detection on Wireless Sensor Network
Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales
ε Descending Support Vector Machines for Financial Time Series Forecasting
Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection
Hopf Bifurcation of General Fractional Delayed TdBAM Neural Networks
Correction to: Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together
Analytic Investigation for Synchronous Firing Patterns Propagation in Spiking Neural Networks
Approximate Analytic Solution of Burger Huxley Equation Using Feed-Forward Artificial Neural Network
Delay-Dependent Robust Exponential Stability of Impulsive Markovian Jumping Reaction-Diffusion Cohen-Grossberg Neural Networks
About Latent Roles in Forecasting Players in Team Sports
Weighted Discriminative Sparse Representation for Image Classification
Class-specific discriminant regularization in real-time deep CNN models for binary classification problems
Self-Organized Feature Extraction Achieved with a Parameterized Filterbank
A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification
Finite-Time Lag Synchronization for Memristive Mixed Delays Neural Networks with Parameter Mismatch
A Direct Locality Preserving Projections (DLPP) Algorithm for Image Recognition
Correlation Projection for Analytic Learning of a Classification Network
Refine-FPN: Instance Segmentation Based on a Non-local Multi-feature Aggregation Mechanism
Existence and Exponential Stability of Multiple Periodic Solutions for a Multidirectional Associative Memory Neural Network
Parallel Bayesian ARTMAP and Its OpenCL Implementation
Laplacian Generalized Eigenvalues Extreme Learning Machine
Output Layer Multiplication for Class Imbalance Problem in Convolutional Neural Networks
Differential Neural Networks Prediction Using Slow and Fast Hybrid Learning: Application to Prognosis of Infectionsand Deaths of COVID-19 Dynamics
Domain Adaptation for POS Tagging with Contrastive Monotonic Chunk-wise Attention
The Effect of Dopamine on Working Memory
Weighted Pseudo Almost Periodic Shunting Inhibitory Cellular Neural Networks with Multi-proportional Delays
AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization
Efficient Mobile Security for E Health Care Application in Cloud for Secure Payment Using Key Distribution
Improving Neuroevolution with Complementarity-Based Selection Operators
A Hybrid Optimized Deep Learning Framework to Enhance Question Answering System
A Novel Fast Reconstruction Method for Single Image Super Resolution Task
Jointly Learning Type-Aware Relations and Inter-Aspect with Graph Convolutional Networks for Aspect Sentiment Analysis
From task-aware to task-agnostic parameter isolation for incremental learning
An Attention-Based Spatio-temporal Model for Methane Concentration Forecasting in Coal Mine
An evolutionary approach to associative memory in recurrent neural networks
A Hybrid Model Equipped with the Minimum Cycle Decomposition Concept for Short-Term Forecasting of Electrical Load Time Series
Improving Reinforcement Learning in Stochastic {RAM}-Based Neural Networks
Control of Double Swing Arm Tracked Robot Based on Deep Reinforcement Learning in Various Uneven Terrains
Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together
Walking on Tiles
Discriminative Representation Learning with Supervised Auto-encoder
Illustrative Discussion of MC-Dropout in General Dataset: Uncertainty Estimation in Bitcoin
Improving the approximation and convergence capabilities of projection pursuit learning
Graph Maximum Margin Criterion for Face Recognition
Generalized Discriminant Local Median Preserving Projections (GDLMPP) for Face Recognition
Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications
Analyzing Global Dynamics of a Neural Field Model
A Neural Network for PCA and Beyond
Vascular Enhancement Analysis in Lightweight Deep Feature Space
Information Bottleneck Theory on Convolutional Neural Networks
Global Exponential Stability of Inertial Cohen-Grossberg Neural Networks with Time-Varying Delays via Feedback and Adaptive Control Schemes: Non-reduction Order Approach
Image Captioning Using Region-Based Attention Joint with Time-Varying Attention
A Bi-Directional Multilayer Perceptron
Robust Discriminant Projection Via Joint Margin and Locality Structure Preservation
An Equivalence between SILF-SVR and Ordinary Kriging
A New Associative Model with Dynamical Synapses
Zeroing Neural Network Based on Neutrosophic Logic for Calculating Minimal-Norm Least-Squares Solutions to Time-Varying Linear Systems
Feature Enhancement Based Oriented Object Detection in Remote Sensing Images
Feature Extraction and Classification of Hand Movements Surface Electromyogram Signals Based on Multi-method Integration
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data
New Results on Robust Finite-Time Extended Dissipativity for Uncertain Fractional-Order Neural Networks
Online Interactive Neuro-evolution
Fractal variation of attractors in complex-valued neural networks
Hydraulic-Supports Alignment by TD3 with Segmented Experience Pool
A Fuzzy Neuron with Binary Input and its Training Algorithm
Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy
Piecewise Polynomial Activation Functions for Feedforward Neural Networks
A New ExtendFace Representation Method for Face Recognition
Building Adaptive Basis Functions with a Continuous Self-Organizing Map
Document Classification via Nonlinear Metric Learning
Hybrid Harmony Search Combined with Stochastic Local Search for Feature Selection
An Empirical Mode Decomposition Fuzzy Forecast Model for COVID-19
A Maximum Consensus Improvement Method for Group Decision Making Under Social Network with Probabilistic Linguistic Information
Modular Neural Tile Architecture for Compact Embedded Hardware Spiking Neural Network
Causality-Driven Intra-class Non-equilibrium Label-Specific Features Learning
Generalized Predictive Control Based on Neural Networks
Echo State Network Optimization: A Systematic Literature Review
Different Aspects of Clustering The Self-Organizing Maps
Image Contour Detection Based on Visual Pathway Information Transfer Mechanism
Discriminatory Label-specific Weights for Multi-label Learning with Missing Labels
On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix
Knowledge Fusion in Feedforward Artificial Neural Networks
Pinning Synchronization for a General Complex Networks with Multiple Time-Varying Coupling Delays
Action Recognition with Multiple Relative Descriptors of Trajectories
Soft-Decoding SOM for VQ Over Wireless Channels
Weighted Average Pinning Synchronization for a Class of Coupled Neural Networks with Time-Varying Delays
DynamicAug: Enhancing Transfer Learning Through Dynamic Data Augmentation Strategies Based on Model State
Testing Different Ensemble Configurations for Feature Selection
Harborfront Anomaly Detection
Single Image Based Three-Dimensional Scene Reconstruction Using Semantic and Geometric Priors
LPM-Net: A Data-Driven Resource-Efficient Predictive Motion Planner for Mobile Robots
Improving Bayesian Regularization of ANN via Pre-training with Early-Stopping
SOM Ensemble-Based Image Segmentation
Superpixel Driven Unsupervised Deep Image Super-Resolution
Sigmoidal Function Classes for Feedforward Artificial Neural Networks
Spike-Count Reduction Techniques for Low Power Spiking Neural Networks
An Alternative Approach for Setting the Optimum Coupling Parameters Among the Neural Central Pattern Generators Considering the Amplitude and the Phase Error Calculations
Application of Quantile Graphs to the Automated Analysis of EEG Signals
Ensemble of Evolving Neural Networks in Classification
The Future of Human Activity Recognition: Deep Learning or Feature Engineering?
Image Denoising Network Based on Subband Information Sharing Using Dual-Tree Complex Wavelet
Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate
Existence and Finite-Time Stability of Besicovitch Almost Periodic Solutions of Fractional-Order Quaternion-Valued Neural Networks with Time-Varying Delays
Least Squares Support Vector Machine Classifiers
A Sparse Online Approach for Streaming Data Classification via Prototype-Based Kernel Models
Adaptive Constraint Propagation for Semi-Supervised Kernel Matrix Learning
Dispersion Constraint Based Non-negative Sparse Coding Model
A Model-Bias Matrix Factorization Approach for Course Score Prediction
Synchronization of T-S Fuzzy Fractional-Order Discrete-Time Complex-Valued Molecular Models of mRNA and Protein in Regulatory Mechanisms with Leakage Effects
Short-Term Traffic Flow Prediction Based on Least Square Support Vector Machine with Hybrid Optimization Algorithm
Study on Neural Network Integration Method Based on Morphological Associative Memory Framework
A Lightweight Neural Learning Algorithm for Real-Time Facial Feature Tracking System via Split-Attention and Heterogeneous Convolution
Adaptive Convolutional Neural Network and Its Application in Face Recognition
Finite Time Stability of Caputo-Katugampola Fractional Order Time Delay Projection Neural Networks
On the search for new learning rules for ANNs
Deep Recurrent Neural Network Architecture of High Order Indirect Integration Method
On the Efficient Speech Feature Extraction Based on Independent Component Analysis
Saturated Perceptrons for Maximum Margin and Minimum Misclassification Error
Global Mittag-Leffler Projective Synchronization of Distinct Fractional-order Delayed Neural Networks with Inconsistent Orders and Interaction Terms via integral Sliding Mode Control
Quasi-projective Synchronization Analysis of Delayed Caputo-Type BAM Neural Networks in the Complex Field
Further Results on Dissipativity Criterion for Markovian Jump Discrete-Time Neural Networks with Two Delay Components Via Discrete Wirtinger Inequality Approach
Detection of Image Tampering Using Deep Learning, Error Levels and Noise Residuals
Siamese Tracking Network with Multi-attention Mechanism
Robust Adaptive Synchronization Control for a Class of Perturbed and Delayed Neural Networks
ISMOTE: A More Accurate Alternative for SMOTE
An Innovative Information-Based Strategy for Epileptic EEG Classification
Speech Dimensionality Analysis on Hypercubical Self Organizing Maps
Compartmental modelling with artificial neural networks
Generating Text Sequence Images for Recognition
A Generalization of Sigmoid Loss Function Using Tsallis Statistics for Binary Classification
Few-Shot Semantic Segmentation via Mask Aggregation
A faster and better robustness zeroing neural network for solving dynamic Sylvester equation
A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks
A Gradient Linear Discriminant Analysis for Small Sample Sized Problem
A Neuro-Based Optimization Algorithm for Tiling Problems with Rotation
Rough Neural Network Based on Bottom-Up Fuzzy Rough Data Analysis
Extreme Learning Machine for Supervised Classification with Self-paced Learning
Edge Detection-Guided Balanced Sampling
Predefined-Time Stability-Based Zeroing Neural Networks and Their Application in Solving the Lyapunov Equation
Human Gait Recognition Based on Frontal-View Walking Sequences Using Multi-modal Feature Representations and Learning
Calibrated Multi-label Classification with Label Correlations
Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction
Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine
Statistical Characterization of Steady-State Visual Evoked Potentials and Their Use in Brain-Computer Interfaces
Single Shot Text Detector with Rotational Prior Boxes
MDGCL: Graph Contrastive Learning Framework with Multiple Graph Diffusion Methods
A Learning Algorithm for Evolving Cascade Neural Networks
A Federated Learning-Based Traffic Congestion and Fuel Monitoring
A New Method to Increase the Margin of Multilayer Perceptrons
Siamese Centerness Prediction Network for Real-Time Visual Object Tracking
Knowledge Acquisition and Design Using Semantics and Perception: A Case Study for Autonomous Robots
Machine Learning Nowcasting of PV Energy Using Satellite Data
Analysis of Markovian Jump Stochastic Cohen-Grossberg BAM Neural Networks with Time Delays for Exponential Input-to-State Stability
Unsupervised Person Re-identification Using Unified Domanial Learning
LMI Conditions for Fractional Exponential Stability and Passivity Analysis of Uncertain Hopfield Conformable Fractional-Order Neural Networks
Urban Landscape Ecological Design and Stereo Vision Based on 3D Mesh Simplification Algorithm and Artificial Intelligence
Exponential Stability of Uncertain Stochastic Neural Networks with Markovian Switching
Hyperspectral Image Feature Extraction Using Maclaurin Series Function Curve Fitting