yusuke1997/dblp-id-title huggingface dataset:
An Incremental Learning Strategy for Support Vector Regression
Efficient Minimisation of the KL Distance for the Approximation of Posterior Conditional Probabilities
Improved Delay-Derivative-Dependent Stability Analysis for Generalized Recurrent Neural Networks with Interval Time-Varying Delays
Alignment Based Kernel Selection for Multi-Label Learning
Deep Transfer Learning in Mechanical Intelligent Fault Diagnosis: Application and Challenge
DPR-GAN: Dual-Stream Progressive Refinement for Adversarial 3D Point Cloud Generation
Robust l 2, 1 Norm-Based Sparse Dictionary Coding Regularization of Homogenous and Heterogenous Graph Embeddings for Image Classifications
A Novel Solution of Using Deep Learning for White Blood Cells Classification: Enhanced Loss Function with Regularization and Weighted Loss (ELFRWL)
A Neural-Network-Based Approach to Detecting Hyperellipsoidal Shells
A Robust Least Squares Support Vector Machine Based on L ∞ -norm
Multi-class Motor Imagery Recognition of Single Joint in Upper Limb Based on Multi-domain Feature Fusion
Existence and Global Exponential Stability of Periodic Solution for a Class of Neutral-Type Neural Networks with Time Delays
Co-Membership-based Generic Anomalous Communities Detection
Distributed Neural Network and Particle Swarm Optimization for Micro-grid Adaptive Power Allocation
Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing
Post-processing of coded images by neural network cancellation of the unmasked noise
A Novel Noise-Enhanced Back-Propagation Technique for Weak Signal Detection in Neyman-Pearson Framework
Editorial: Special Issue on Transfer Learning
A New Complex-Valued Polynomial Model
Locality Density-Based Fuzzy Multiple Empirical Kernel Learning
Related Study Based on Otsu Watershed Algorithm and New Squeeze-and-Excitation Networks for Segmentation and Level Classification of Tea Buds
Deep CNN for Brain Tumor Classification
Multiview Objects Recognition Using Deep Learning-Based Wrap-CNN with Voting Scheme
MTPose: Human Pose Estimation with High-Resolution Multi-scale Transformers
Multiple-View Multiple-Learner Semi-Supervised Learning
An Efficient Algorithm Combining Spectral Clustering with Feature Selection
Online Depth Image-Based Object Tracking with Sparse Representation and Object Detection
A multilayer incremental neural network architecture for classification
Several Novel Dynamic Ensemble Selection Algorithms for Time Series Prediction
Pseudo Almost Periodic Shunting Inhibitory Cellular Neural Networks with Multi-proportional Delays
Stray Example Sheltering by Loss Regularized SVM and k NN Preprocessor
Support Vector Machine Histogram: New Analysis and Architecture Design Method of Deep Convolutional Neural Network
A Novel Transfer Capsule Network Based on Domain-Adversarial Training for Fault Diagnosis
Neural Network Method for Solving Partial Differential Equations
Multi-stage Genetic Algorithm and Deep Neural Network for Robot Execution Failure Detection
Arbitrary FIR Filter Synthesis Using a Neural Network
Characterization of the Sonar Signals Benchmark
From Different Zhang Functions to Various ZNN Models Accelerated to Finite-Time Convergence for Time-Varying Linear Matrix Equation
Multi-step Training of a Generalized Linear Classifier
Wireless Sensor Network Based Smart Grid Supported by a Cognitively Driven Load Management Decision Making
Synchronization of Coupled Memristive Neural Network Based on Edge-Event Triggered Control
Erratum to: A Method for Metric Learning with Multiple-Kernel Embedding
pth Moment Exponential Stability of Stochastic Recurrent Neural Networks with Markovian Switching
How Online Learning Approaches Ornstein Uhlenbeck Processes
Two-Stage Method for Diagonal Recurrent Neural Network Identification of a High-Power Continuous Microwave Heating System
Performance Analysis for SVM Combining with Metric Learning
Dilated Transformer with Feature Aggregation Module for Action Segmentation
Deep Neural Network to Predict Answer Votes on Community Question Answering Sites
Synthetic Hard Negative Samples for Contrastive Learning
Semi-Supervised Logistic Discrimination Via Graph-Based Regularization
Improving the Accuracy of Diabetes Diagnosis Applications through a Hybrid Feature Selection Algorithm
A Neural Network Model of Caenorhabditis Elegans: The Circuit of Touch Sensitivity
An Unsupervised End-to-End Recursive Cascaded Parallel Network for Image Registration
A Novel Structure for Radial Basis Function Networks - WRBF
Training a Neural Network for Cyberattack Classification Applications Using Hybridization of an Artificial Bee Colony and Monarch Butterfly Optimization
Improving Regularization in Deep Neural Networks by Co-adaptation Trace Detection
A Recommendation Algorithm Based on a Self-supervised Learning Pretrain Transformer
Improving the Stability of the Variable Selection with Small Datasets in Classification and Regression Tasks
Global Asymptotic Stabilization of Cellular Neural Networks with Proportional Delay via Impulsive Control
Genetic Algorithm Optimized Grey-Box Modelling and Fuzzy Logic Controller for Tail-Actuated Robotic Fish
Deep Self-Supervised Attributed Graph Clustering for Social Network Analysis
Dynamics Analysis of a Class of Memristor-Based Recurrent Networks with Time-Varying Delays in the Presence of Strong External Stimuli
ChaInNet: Deep Chain Instance Segmentation Network for Panoptic Segmentation
Crisply Generated Complex Fuzzy Concepts Analysis Using Shannon Entropy
A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory
Short-Term Wind Speed Prediction Using Signal Preprocessing Technique and Evolutionary Support Vector Regression
Securing Blockchain Transactions Using Quantum Teleportation and Quantum Digital Signature
Wearables and Detection of Falls: A Comparison of Machine Learning Methods and Sensors Positioning
Parameter-Free Extreme Learning Machine for Imbalanced Classification
PSO Based Neuro-fuzzy Model for Secondary Structure Prediction of Protein
Particle Swarm Optimization Algorithm with Multi-strategies for Delay Scheduling
Short Term Solar Power and Temperature Forecast Using Recurrent Neural Networks
Densemask RCNN: A Hybrid Model for Skin Burn Image Classification and Severity Grading
Stability and Hopf Bifurcation of a Three-Neuron Network with Multiple Discrete and Distributed Delays
The Parameter Identification of PMSM Based on Improved Cuckoo Algorithm
Global Exponential Dissipativity of Impulsive Recurrent Neural Networks with Multi-proportional Delays
A Localized Forgetting Method for Gaussian RBFN Model Adaptation
Pinning Synchronization of Coupled Memristive Recurrent Neural Networks with Mixed Time-Varying Delays and Perturbations
Finite-Time Mittag-Leffler Stability of Fractional-Order Quaternion-Valued Memristive Neural Networks with Impulses
Pelive Floor Myofascisl Therapy is Associated with Improved VAS Pain Scores and FSFI Scores in Women with Dyspareunia 6 Months Post-partum
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning
Synchronization in Quaternion-Valued Neural Networks with Delay and Stochastic Impulses
A Neural Network Approach for Solving a Class of Fractional Optimal Control Problems
Synchronization of Switched Coupled Neural Networks with Distributed Impulsive Effects: An Impulsive Strength Dependent Approach
A Transfer-Learning-Like Neural Dynamics Algorithm for Arctic Sea Ice Extraction
The BP-SOM architecture and learning rule
Distributed Neuro-Dynamic Algorithm for Price-Based Game in Energy Consumption System
On the Parsimony of the Multi-Layer Perceptrons when Processing Encoded Symbolic Variables
Pseudo Almost Periodic Solution of Recurrent Neural Networks with D Operator on Time Scales
A Novel Hybrid CNN-LSTM Compensation Model Against DoS Attacks in Power System State Estimation
Special Issue on Artificial Intelligence Empowered Big Data Analytical Patterns for Medical Applications
PReLCaP : Precedence Retrieval from Legal Documents Using Catch Phrases
Complex Varying-Parameter Zhang Neural Networks for Computing Core and Core-EP Inverse
An Effective Neural Learning Algorithm for Extracting Cross-Correlation Feature Between Two High-Dimensional Data Streams
Adaptive Sampled-Data Observer Design for a Class of Nonlinear Systems with Unknown Hysteresis
A Vision Enhancement and Feature Fusion Multiscale Detection Network
Multi-View Intact Space Learning for Tinnitus Classification in Resting State EEG
Symmetry and Network Structure
Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems
Texture segmentation using pyramidal Gabor functions and self-organising feature maps
Dynamic Fuzzy Neural Network Based Learning Algorithms for Ocular Artefact Reduction in EEG Recordings
A State Recognition Method of Isolation Switch in Traction Substation Based on Key Components Detection and Geometric Ranging
Vector-Valued Hopfield Neural Networks and Distributed Synapse Based Convolutional and Linear Time-Variant Associative Memories
Adaptive Finite-Time Complete Periodic Synchronization of Memristive Neural Networks with Time Delays
Robust Twin Support Vector Regression with Smooth Truncated Hε Loss Function
New Results on Robust Exponential Stability of Uncertain Stochastic Neural Networks with Mixed Time-Varying Delays
Improving 3D Object Detection with Context-Aware and Dimensional Interaction Attention
Fast Anomaly Detection Based on 3D Integral Images
Automatic Semantic Segmentation with DeepLab Dilated Learning Network for Change Detection in Remote Sensing Images
Scene Classification Using Multi-Resolution WAHOLB Features and Neural Network Classifier
Rethinking Attention Mechanism: Channel Re-attention and Spatial Multi-region Attention for Fine-grained Visual Classification
Efficient Large Margin-Based Feature Extraction
A Constrained Generative Model Applied to Face Detection
On Infinite Horizon Optimal Control Problems with a Feed Forward Neural Network Scheme
Neural Network Based Forecasting Technique for Wireless Sensor Networks
Robust Stability Criterion for Delayed Neural Networks with Discontinuous Activation Functions
Stability Analysis of Impulsive Neural Networks with Piecewise Constant Arguments
On Extending the Noncircular Fast Independent Vector Analysis Algorithm to the Noisy Model
Adaptive Generation of Weakly Supervised Semantic Segmentation for Object Detection
A Two Stage Sequential Ensemble Applied to the Classification of Alzheimer's Disease Based on MRI Features
Label-Based Disentanglement Measure among Hidden Units of Deep Learning
Efficient Feature Scaling for Support Vector Machines with a Quadratic Kernel
Comparative Analysis on Convergence Rates of The EM Algorithm and Its Two Modifications for Gaussian Mixtures
Deep Learning on Image Stitching With Multi-viewpoint Images: A Survey
Automatic Evaluation of English Translation Based on Multi-granularity Interaction Fusion
Dual Classifier Adaptation: Source-Free UDA via Adaptive Pseudo-Labels Learning
HFMD Cases Prediction Using Transfer One-Step-Ahead Learning
Synchronization of Multi-links Memristor-Based Switching Networks Under Uniform Random Attacks
Inferring Personality Traits from Attentive Regions of User Liked Images Via Weakly Supervised Dual Convolutional Network
A New Hybrid Cuckoo Quantum-Behavior Particle Swarm Optimization Algorithm and its Application in Muskingum Model
Existence and Stability of Pseudo Almost Periodic Solution for Neutral Type High-Order Hopfield Neural Networks with Delays in Leakage Terms on Time Scales
A Novel Genetically Optimized Convolutional Neural Network for Traffic Sign Recognition: A New Benchmark on Belgium and Chinese Traffic Sign Datasets
Learning Temperature Dynamics on Agar-Based Phantom Tissue Surface During Single Point CO 2 Laser Exposure
Parallel Implementation of Self-Organizing Map on the Partial Tree Shape Neurocomputer
Privacy-Preserving Text Classification on Deep Neural Network
Walking on Virtual Tiles
Malicious Domain Name Detection Based on Extreme Machine Learning
Leaf Recognition Based on DPCNN and BOW
Burn Image Recognition of Medical Images Based on Deep Learning: From CNNs to Advanced Networks
Self-Organizing-Map Based Clustering Using a Local Clustering Validity Index
Self-Organization through Spike-Timing Dependent Plasticity Using localized Synfire-Chain Patterns
Bayesian Inference via Variational Approximation for Collaborative Filtering
A Novel Adaptive NARMA-L2 Controller Based on Online Support Vector Regression for Nonlinear Systems
A Neurodynamic Algorithm for Energy Scheduling Game in Microgrid Distribution Networks
A Deep Model of Visual Attention for Saliency Detection on 3D Objects
Further Improvement on Delay-Dependent Global Robust Exponential Stability for Delayed Cellular Neural Networks with Time-Varying Delays
Topic Identification in Dynamical Text by Complexity Pursuit
Reconstruction-Aware Kernelized Fuzzy Clustering Framework Incorporating Local Information for Image Segmentation
Fixed-Time Synchronization of Complex-Valued Memristor-Based Neural Networks with Impulsive Effects
QRKISS: A Two-Stage Metric Learning via QR-Decomposition and KISS for Person Re-Identification
State Estimation of Quaternion-Valued Neural Networks with Leakage Time Delay and Mixed Two Additive Time-Varying Delays
A Novel Hybrid Grasshopper Optimization Algorithm for Numerical and Engineering Optimization Problems
Breast Tumor Classification Using Fast Convergence Recurrent Wavelet Elman Neural Networks
A Dynamically Stabilized Recurrent Neural Network
Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization
Fast Multiclass SVM Classification Using Decision Tree Based One-Against-All Method
Global Exponential Synchronization of Delayed Complex-Valued Recurrent Neural Networks with Discontinuous Activations
Different Control Strategies for Fixed-Time Synchronization of Inertial Memristive Neural Networks
On Incremental Learning for Gradient Boosting Decision Trees
Sampling Active Learning Based on Non-parallel Support Vector Machines
Self-Adaptive Evolutionary Extreme Learning Machine
Deep CNN Co-design for HEVC CU Partition Prediction on FPGA-SoC
Adaptive Guidance and Attention-Refined Network for Fast Video Object Segmentation
A One-Layer Recurrent Neural Network for Interval-Valued Optimization Problem with Linear Constraints
The Study of Chaotic Neural Network and its Applications in Associative Memory
A Novel Generalized Fuzzy Canonical Correlation Analysis Framework for Feature Fusion and Recognition
Unsupervised Optical Flow Estimation Based on Improved Feature Pyramid
Passivity of Reaction-Diffusion Genetic Regulatory Networks with Time-Varying Delays
Flood Frequency Modeling and Prediction of Beki and Pagladia Rivers Using Deep Learning Approach
EW-Fisher: A Novel Loss Function for Deep Learning-Based Image Co-Segmentation
A Feature Selection Algorithm Based on Equal Interval Division and Conditional Mutual Information
Extended Dissipativity Performance for the Delayed Discrete-Time Neural Networks with Observer-Based Control
Neural Network Inverse Optimal Control of Ground Vehicles
State Distribution-Aware Sampling for Deep Q-Learning
Modeling Character-Word Interaction via a Novel Mesh Transformer for Chinese Event Detection
Add-Vit: CNN-Transformer Hybrid Architecture for Small Data Paradigm Processing
Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes"
A Novel Indefinite Kernel Dimensionality Reduction Algorithm: Weighted Generalized Indefinite Kernel Discriminant Analysis
An Optimal Stacked ResNet-BiLSTM-Based Accurate Detection and Classification of Genetic Disorders
Improved CBP Neural Network Model with Applications in Time Series Prediction
Stochastic Support Vector Machine for Classifying and Regression of Random Variables
Density-Based Discriminative Nonnegative Representation Model for Imbalanced Classification
Growing Self-Organizing Maps for Nonlinear Time-Varying Function Approximation
Finite-Time Function Projective Synchronization in Complex Multi-links Networks with Time-Varying Delay
Neural Systems with Numerically-Matched Input-Output Statistic: Variate Generation
Discriminant Analysis with Local Gaussian Similarity Preserving for Feature Extraction
Adaptive Graph Regularized Deep Semi-nonnegative Matrix Factorization for Data Representation
Graph-Regularized Local Coordinate Concept Factorization for Image Representation
Basic mechanisms of coding stimulus intensity in the olfactory sensory neuron
Learning Informative Features from Restricted Boltzmann Machines
Synchronization Criterion of Complex Dynamical Networks with Both Leakage Delay and Coupling Delay on Time Scales
On the Identifiability of Finite Mixtures Based on the Union of Logarithmic Series and Discrete Rectangular Families
Complementary Attention Network for Weakly Supervised Temporal Action Localization
A Global Minimization Algorithm Based on a Geodesic of a Lagrangian Formulation of Newtonian Dynamics
The Convergence of Incremental Neural Networks
Two-level Clustering of Web Sites Using Self-Organizing Maps
Refine for Semantic Segmentation Based on Parallel Convolutional Network with Attention Model
Lack of Consistency of Mean Field and Variational break Bayes Approximations for State Space Models
Performance Verification of a Fuzzy Wavelet Neural Network in the First Order Partial Derivative Approximation of Nonlinear Functions
Introducing Synaptic Delays in the NEAT Algorithm to Improve Modelling in Cognitive Robotics
Multi-objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory
A Method for Metric Learning with Multiple-Kernel Embedding
Promoting Software Reuse Using Self Organizing Maps
Generating Optimal Test Case Generation Using Shuffled Shepherd Flamingo Search Model
Adaptive Visual Field Multi-scale Generative Adversarial Networks Image Inpainting Base on Coordinate-Attention
A Neural Network Based Approach to Optical Symbol Recognition
A Hybrid Multi-gene Genetic Programming with Capuchin Search Algorithm for Modeling a Nonlinear Challenge Problem: Modeling Industrial Winding Process, Case Study
GNNCL: A Graph Neural Network Recommendation Model Based on Contrastive Learning
Deep Active Autoencoders for Outlier Detection
Covariance Matrix Estimation with Multi-Regularization Parameters based on MDL Principle
Density Based Cluster Growing via Dominant Sets
Continuous Positioning with Recurrent Auto-Regressive Neural Network for Unmanned Surface Vehicles in GPS Outages
Using a Neural Network to Approximate an Ensemble of Classifiers
Multichannel Multimodal Emotion Analysis of Cross-Modal Feedback Interactions Based on Knowledge Graph
Delay-Dependent Exponential Stability of Cellular Neural Networks with Multi-Proportional Delays
Continuous Recurrent Neural Networks Based on Function Satlins
Complete Stability Analysis of Complex-Valued Neural Networks with Time Delays and Impulses
Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers
Exponential Synchronization of Delayed Switching Genetic Oscillator Networks via Mode-Dependent Partial Impulsive Control
An LMI Based State Estimation for Fractional-Order Memristive Neural Networks with Leakage and Time Delays
Classification of Blood Cells Using Optimized Capsule Networks
EA-DETR: Edge-Aware Detection Transformer for Water Surface Floating Object Identification
Sparse and Outlier Robust Extreme Learning Machine Based on the Alternating Direction Method of Multipliers
Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models
Fuzzy Clustering Using A Compensated Fuzzy Hopfield Network
A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization
Hadamard Product Perceptron Attention for Image Captioning
A Novel Data Augmentation Method for Chinese Character Spatial Structure Recognition by Normalized Deformable Convolutional Networks
A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension
Weighted Version of Extended Nearest Neighbors
Deep Plot-Aware Generalized Matrix Factorization for Collaborative Filtering
A Novel Link Prediction Model in Multilayer Online Social Networks Using the Development of Katz Similarity Metric
Localization Approach for Tracking the Mobile Nodes Using FA Based ANN in Subterranean Wireless Sensor Networks
An ANNs-based system for the diagnosis and treatment of diseases
Emotion Recognition on EEG Signal Using ResNeXt Attention 2D-3D Convolution Neural Networks
Solar Radiation Estimation in Mediterranean Climate by Weather Variables Using a Novel Bayesian Model Averaging and Machine Learning Methods
Finite-Time Synchronization for a Coupled Fuzzy Neutral-Type Rayleigh System
A Mathematical Model of Retinal Ganglion Cells and Its Applications in Image Representation
Recurrent Algorithms for Selecting the Maximum Input
One-Dimensional Deep Convolutional Neural Network for Mineral Classification from Raman Spectroscopy
ART1: Similarity Measures
DropCircuit : A Modular Regularizer for Parallel Circuit Networks
CSCNN: Cost-Sensitive Convolutional Neural Network for Encrypted Traffic Classification
Multi-back-propagation Algorithm for Signal Neural Network Decomposition
Correction to: Fukunaga-Koontz Convolutional Network with Applications on Character Classification
An Empirical Study for Transboundary Pollution of Three Gorges Reservoir Area with Emission Permits Trading
KTBoost: Combined Kernel and Tree Boosting
Online Social Network Security: A Comparative Review Using Machine Learning and Deep Learning
A New Varying-Parameter Design Formula for Solving Time-Varying Problems
Adaptive Style Modulation for Artistic Style Transfer
Cooperative-Competitive Algorithms for Evolutionary Networks Classifying Noisy Digital Images
Spikes and Nets (S&N): A New Fast, Parallel Computing, Point Process Software for Multineuronal Discharge and Connectivity Analysis
Event-Based Projective Synchronization for Different Dimensional Complex Dynamical Networks with Unknown Dynamics by Using Data-Driven Scheme
Implementation of the Exclusive-Or Function in a Hopfield Style Recurrent Network
Robustly Exponential Stability Analysis for Discrete-Time Stochastic Neural Networks with Interval Time-Varying Delays
Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study
Robust Video Face Recognition Under Pose Variation
Adaptive Syncretic Attention for Constrained Image Captioning
H ∞ Filtering for Markov Jump Neural Networks Subject to Hidden-Markov Mode Observation and Packet Dropouts via an Improved Activation Function Dividing Method
Homoclinical Structure of Retarded SICNNs with Rectangular Input Currents
Event Triggered Finite Time H ∞ Boundedness of Uncertain Markov Jump Neural Networks with Distributed Time Varying Delays
Incremental Affinity Propagation Based on Cluster Consolidation and Stratification
Multimodal Aspect-Based Sentiment Analysis with External Knowledge and Multi-granularity Image-Text Features
Minimal complexity velocity-tuned filters with analogue neuromorphic networks: A theoretical approach for efficient design
The Kuramoto Model: The Stability Conditions in the Presence of Phase Shift
Symbolic Regression Based Extreme Learning Machine Models for System Identification
Anti-periodic Solutions of Inertial Neural Networks with Time Delays
Robust Stability of Inertial BAM Neural Networks with Time Delays and Uncertainties via Impulsive Effect
ELANet: Effective Lightweight Attention-Guided Network for Real-Time Semantic Segmentation
HGBL: A Fine Granular Hierarchical Multi-Label Text Classification Model
A Novel Two-stage Learning Pipeline for Deep Neural Networks
New Results on Convergence of CNNs with Neutral Type Proportional Delays and D Operator
An R-Transformer_BiLSTM Model Based on Attention for Multi-label Text Classification
A Prompt Learning Based Intent Recognition Method on a Chinese Implicit Intent Dataset CIID