yusuke1997/dblp-id-title huggingface dataset:
A Robust Zeroing Neural Network Model Activated by the Special Nonlinear Function for Solving Time-Variant Linear System in Predefined-Time
A Heterogeneous Interaction Graph Network for Multi-Intent Spoken Language Understanding
Recursive Update Algorithm for Least Squares Support Vector Machines
Image Quality Assessment via Inter-class and Intra-class Differences for Efficient Classification
Classification by Density Intersection
Mitigate Gender Bias Using Negative Multi-task Learning
A Comprehensive Study on VLAD
Computing Information in Neuronal Spikes
Nonnegative Constrained Graph Based Canonical Correlation Analysis for Multi-view Feature Learning
On the Weighted Pseudo Almost-Periodic Solutions of Static DMAM Neural Network
Fuzzy-Rough Instance Selection Combined with Effective Classifiers in Credit Scoring
A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Convergence
Global convergence of Negative Correlation Extreme Learning Machine
CDMC-Net: Context-Aware Image Deblurring Using a Multi-scale Cascaded Network
Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization
Implicit Relation Inference with Deep Path Extraction for Commonsense Question Answering
Performance-Efficiency Comparisons of Channel Attention Modules for ResNets
Window-Adjusted Common Spatial Pattern for Detecting Error-Related Potentials in P300 BCI
Cross-KG Link Prediction by Learning Substructural Semantics
A Comprehensive Survey on Various Fully Automatic Machine Translation Evaluation Metrics
Unsupervised Learning of Higher-Order Statistics
Bounded Generalized Gaussian Mixture Model with ICA
A Capable Neural Network Framework for Solving Degenerate Quadratic Optimization Problems with an Application in Image Fusion
Global Robust Exponential Stability of Interval General BAM Neural Network with Delays
Words-In-Sequence Memory Formed by Eye Movement Sequences During Reading: A Network Model Based on Theta Phase Coding
Robust Two-Dimensional Linear Discriminant Analysis via Information Divergence
Selected an Stacking ELMs for Time Series Prediction
ACR-GNN: Adaptive Cluster Reinforcement Graph Neural Network Based on Contrastive Learning
Stabilization of Coupled Time-delay Neural Networks with Nodes of Different Dimensions
Exponential Stability of Semi-Markovian Switching Complex Dynamical Networks with Mixed Time Varying Delays and Impulse Control
Deep CNN Based Lmser and Strengths of Two Built-In Dualities
Contractive Slab and Spike Convolutional Deep Belief Network
SR-MACL: Session-Based Recommendation with Multi-layer Aggregation Augmentation in Contrastive Learning
Learning Distance Metric for Support Vector Machine: A Multiple Kernel Learning Approach
Generation of Rule-Based Explanations of CNN Classifiers Using Regional Features
A Survey of Micro-expression Recognition Methods Based on LBP, Optical Flow and Deep Learning
Deep Learning Based Application for Indoor Scene Recognition
A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals
Improved Sparsity of Support Vector Machine with Robustness Towards Label Noise Based on Rescaled α-Hinge Loss with Non-smooth Regularizer
Gait Recognition in Different Terrains with IMUs Based on Attention Mechanism Feature Fusion Method
Feature Enhancement for Multi-scale Object Detection
Hybrid Feedforward Neural Networks for Solving Classification Problems
Detecting Bitcoin Sentiment: Leveraging Language Model Applications in Sentiment Analysis for Bitcoin Price Prediction
Small-Scale Building Load Forecast based on Hybrid Forecast Engine
Computation by Time
Traffic Scene Perception Based on Joint Object Detection and Semantic Segmentation
New Results on Periodicity of Non-autonomous Inertial Neural Networks Involving Non-reduced Order Method
A Hybrid Model Based on Convolutional Neural Network and Long Short-Term Memory for Multi-label Text Classification
Feature Extraction Using Independent Components of Each Category
PCDM: Point Cloud Completion by Conditional Diffusion Model
A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network
An Enhanced Extreme Learning Machine Based on Liu Regression
A New Time Series Forecasting Model Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Temporal Convolutional Network
Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse
Temperature-Based Deep Boltzmann Machines
Determining Approximate Solutions of Nonlinear Ordinary Differential Equations Using Orthogonal Colliding Bodies Optimization
LSISOM - A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
Deep Feature Fusion for High-Resolution Aerial Scene Classification
WakaVT: A Sequential Variational Transformer for Waka Generation
Design of Stochastic Passivity and Passification for Delayed BAM Neural Networks with Markov Jump Parameters via Non-uniform Sampled-Data Control
Asymptotic Stability of Fractional-Order Incommensurate Neural Networks
Co-GZSL: Feature Contrastive Optimization for Generalized Zero-Shot Learning
Spiking Neural P Systems with Weighted Synapses
BLSTM and CNN Stacking Architecture for Speech Emotion Recognition
An Analysis of the Fundamental Structure of Complex-Valued Neurons
Correction: LPM-Net: A Data-Driven Resource-Efficient Predictive Motion Planner for Mobile Robots
Attractor and Stochastic Boundedness for Stochastic Infinite Delay Neural Networks with Markovian Switching
State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach
Event-triggered finite-time dissipative control for fractional-order neural networks with uncertainties
Contrastive-based In-context Learning with Bias Calibration for Implicit Discourse Relation Recognition
Continuous-Time Varying Complex QR Decomposition via Zeroing Neural Dynamics
Accelerating graph substitutions in DNN optimization by heuristic algorithms
Content-Based Bipartite User-Image Correlation for Image Recommendation
Self-Organization by Temporal Inhibition (SOTI)
Penalized Least Squares Classifier: Classification by Regression Via Iterative Cost-Sensitive Learning
Output value-based initialization for radial basis function neural networks
Refractoriness in Poisson and Gaussian First-order Neural Nets with Chemical Markers
Real-Time Accurate Text Detection with Adaptive Double Pyramid Network
Harmonic Mean of Kullback-Leibler Divergences for Optimizing Multi-Class EEG Spatio-Temporal Filters
Global Results on Exponential Stability of Neutral Cohen-Grossberg Neural Networks Involving Multiple Neutral and Discrete Time-Varying Delays: A Method Based on System Solutions
Convergence of Batch Gradient Method Based on the Entropy Error Function for Feedforward Neural Networks
Neural Network Based Recognition of Smoke Signatures from Lidar Signals
Learning Algorithms for Quaternion-Valued Neural Networks
Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models
Maximum Matching on Boltzmann Machines
Improved Stability Results for Stochastic Cohen-Grossberg Neural Networks with Discrete and Distributed Delays
Locate the Bounding Box of Neural Networks with Intervals
Global Exponential Stability of High-Order Bidirectional Associative Memory (BAM) Neural Networks with Proportional Delays
Synchronization Criteria for an Array of Neutral-Type Neural Networks with Hybrid Coupling: A Novel Analysis Approach
Difficulty-Aware Brain Lesion Segmentation from MRI Scans
Constrained Projection Approximation Algorithms for Principal Component Analysis
Assessing the Noise Immunity and Generalization of Radial Basis Function Networks
An Iterative Thresholding Segmentation Model Using a Modified Pulse Coupled Neural Network
Fukunaga-Koontz Convolutional Network with Applications on Character Classification
Novel Switching Jumps Dependent Exponential Synchronization Criteria for Memristor-Based Neural Networks
Unsupervised Domain Adaptation via Discriminative Classes-Center Feature Learning in Adversarial Network
α-Exponential Stability of Impulsive Fractional-Order Complex-Valued Neural Networks with Time Delays
A Hybrid Approach using the Fuzzy Logic System and the Modified Genetic Algorithm for Prediction of Skin Cancer
Convolutional Sparse Coded Dynamic Brain Functional Connectivity
Color Image Enhancement: A Metaheuristic Chimp Optimization Algorithm
Global Attention-Based Graph Neural Networks for Node Classification
Intermittent Control Based Exponential Synchronization of Inertial Neural Networks with Mixed Delays
Intrinsic Dimension Estimation of Data: An Approach Based on Grassberger-Procaccia's Algorithm
A Hierarchical Self-Organizing Map Model for Sequence Recognition
AIFD Based 2D Image Registration to Multi-View Stereo Mapped 3D Models
State estimation and finite-time synchronization of fractional delayed neural network
Competitive Non-negative Representation with Image Gradient Orientations for Face Recognition
Synchronization Control for Chaotic Neural Networks with Mixed Delays Under Input Saturations
Lagrange p-Stability and Exponential p-Convergence for Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays
Flexible Discrete Multi-view Hashing with Collective Latent Feature Learning
SynSeq4ED: A Novel Event-Aware Text Representation Learning for Event Detection
BTSwin-Unet: 3D U-shaped Symmetrical Swin Transformer-based Network for Brain Tumor Segmentation with Self-supervised Pre-training
Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition
Toward a Possibilistic Swarm Multi-robot Task Allocation: Theoretical and Experimental Results
Stability Analysis for a Class of Impulsive Bidirectional Associative Memory (BAM) Neural Networks with Distributed Delays and Leakage Time-Varying Delays
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis
Adaptive Neural Network Fault-Tolerant Consensus Control for Multi-agent Systems with Time-Delay and Asymmetric Error Constraint
Finite-Time Stability of Stochastic Cohen-Grossberg Neural Networks with Markovian Jumping Parameters and Distributed Time-Varying Delays
An Overestimation Reduction Method Based on the Multi-step Weighted Double Estimation Using Value-Decomposition Multi-agent Reinforcement Learning
Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications
Feature Analysis of Unsupervised Learning for Multi-task Classification Using Convolutional Neural Network
A Novel Distributed Process Monitoring Framework of VAE-Enhanced with Deep Neural Network
Predicting Multivariate Time Series Using Subspace Echo State Network
Distributed Analysis Dictionary Learning Using a Diffusion Strategy
A Novel Least Square Twin Support Vector Regression
Natural Language Generation Using Sequential Models: A Survey
Robust Visual Tracking with Motion-Aware and Automatic Temporal Regularization
A Single Image High-Perception Super-Resolution Reconstruction Method Based on Multi-layer Feature Fusion Model with Adaptive Compression and Parameter Tuning
Realistic Hodgkin-Huxley Axons Using Stochastic Behavior of Memristors
Video Super-Resolution with Frame-Wise Dynamic Fusion and Self-Calibrated Deformable Alignment
Using Cartesian Genetic Programming Approach with New Crossover Technique to Design Convolutional Neural Networks
Importance Sampling and Mean Square Error in Neural Detector Training
Extraction of Logical Rules from Neural Networks
Fingerprint Extraction and Classification of Wireless Channels Based on Deep Convolutional Neural Networks
Character-Level Encoding based Neural Machine Translation for Hindi language
Image Set-Oriented Dual Linear Discriminant Regression Classification and Its Kernel Extension
Multi-band Video Deblurring via Efficient Chunked Additive Attention and Dynamic Channel Adaptive Module
On the Selection of the Regularization Parameter in Stacking
Exponential Synchronization of Nonlinear Multi-weighted Complex Dynamic Networks with Hybrid Time Varying Delays
Deep Learning-Based Hand Gesture Recognition System and Design of a Human-Machine Interface
Md-Net: Multi-scale Dilated Convolution Network for CT Images Segmentation
Graph-Theoretic Approach to Finite-Time Synchronization for Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Discontinuous Activations
PAII: A Pose Alignment Network with Information Interaction for Person Re-identification
Prediction of Neural Net Tolerance to Noise
Attentional Gated Res2Net for Multivariate Time Series Classification
Asymptotical Stability of Riemann-Liouville Fractional-Order Neutral-Type Delayed Projective Neural Networks
Biomedical Image Segmentation Using Fuzzy Artificial Cell Swarm Optimization (FACSO)
Unsupervised Learning Approach for Abnormal Event Detection in Surveillance Video by Hybrid Autoencoder
Rule-Based Learning Systems for Support Vector Machines
An Evaluation of RetinaNet on Indoor Object Detection for Blind and Visually Impaired Persons Assistance Navigation
Pseudo Almost Automorphic Solutions for Multidirectional Associative Memory Neural Network with Mixed Delays
Fully Complex Valued Wavelet Network for Forecasting the Global Solar Irradiation
An Improved U-Net for Human Sperm Head Segmentation
Exploiting Chaos in Learning System Identification for Nonlinear State Space Models
Universal Approximation and QoS Violation Application of Extreme Learning Machine
Simplifying a Neuro-Fuzzy Model
Face Recognition Using Gabor-Based Feature Extraction and Feature Space Transformation Fusion Method for Single Image per Person Problem
Finite-Time Synchronization of Memristive Neural Networks with Proportional Delay
Anfis-Based Defect Severity Prediction on a Multi-Stage Gearbox Operating Under Fluctuating Speeds
A Novel Prediction Method for Early Recognition of Global Human Behaviour in Image Sequences
Weighted Radial Basis Functions for improved pattern recognition and signal processing
2-D Shape Recognition using Recursive Landmark Determination and Fuzzy ART Network Learning
Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning
Dual-Path Part-Level Method for Visible-Infrared Person Re-identification
A Context Based Deep Temporal Embedding Network in Action Recognition
ContourNet: Research on Contour Based Nighttime Semantic Segmentation
Gait Pattern Based on CMAC Neural Network for Robotic Applications
Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training
Attention-Guided Optimal Transport for Unsupervised Domain Adaptation with Class Structure Prior
A Point-Cluster-Partition Architecture for Weighted Clustering Ensemble
Enhancing Top-N Recommendation Using Stacked Autoencoder in Context-Aware Recommender System
Application of Coupled LDA-KPCA and BO-MKRVM Model to Predict Coal and Gas Outbursts
A Hybrid Genetic Algorithm for the Energy-Efficient Virtual Machine Placement Problem in Data Centers
A YOLOX Object Detection Algorithm Based on Bidirectional Cross-scale Path Aggregation
3D Model Retrieval Using Bipartite Graph Matching Based on Attention
Adaptive Synchronization of Stochastic Memristor-Based Neural Networks with Mixed Delays
Robust Low Rank Subspace Segmentation via Joint ℓ 21 -Norm Minimization
Deep Learning Architectures for Accurate Millimeter Wave Positioning in 5G
Integrating Data-Driven Segmentation, Local Feature Extraction and Fisher Kernel Encoding to Improve Time Series Classification
Self-supervised Monocular Trained Depth Estimation Using Triplet Attention and Funnel Activation
High Parameter Frequency Resolution Encoding Scheme for Spatial Audio Objects Using Stacked Sparse Autoencoder
Fast and Robust Active Contours Model for Image Segmentation
Pruned Feed-forward Networks for Efficient Implementation of Multiple FIR Filters with Arbitrary Frequency Responses
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
New H ∞ Controller Design for Neural Networks with Interval Time-Varying Delays in State and Observation
Label-Only Membership Inference Attack Based on Model Explanation
Finite-Time Synchronization for Delayed Inertial Neural Networks by the Approach of the Same Structural Functions
Online GBDT with Chunk Dynamic Weighted Majority Learners for Noisy and Drifting Data Streams
A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction
Improved Generative Adversarial Network Learning via Structural Pattern Classification
An Improved Graph Convolution Network for Robust Image Retrieval
Unsupervised Video Hashing via Deep Neural Network
Exploring Implicit Semantic Constraints for Bilingual Word Embeddings
Eliminating Scale Ambiguity of Unsupervised Monocular Visual Odometry
Robust Dual-Graph Regularized Deep Matrix Factorization for Multi-view Clustering
Sub-One Quasi-Norm-Based k-Means Clustering Algorithm and Analyses
A Collaborative Filtering Recommendation Algorithm Based on Community Detection and Graph Neural Network
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets
Stability Analysis of Fractional-Order Neural Networks with Time Delay
Performance of Genetic Algorithm and Levenberg Marquardt Method on Multi-Mother Wavelet Neural Network Training for 3D Huge Meshes Deformation: A Comparative Study
Fast and Stable Learning Utilizing Singular Regions of Multilayer Perceptron
Asymptotic Stability of Cohen-Grossberg BAM Neutral Type Neural Networks with Distributed Time Varying Delays
Fixed-Size Extreme Learning Machines Through Simulated Annealing
Utilizing the Neural Renderer for Accurate 3D Face Reconstruction from a Single Image
Projection Recurrent Neural Network Model: A New Strategy to Solve Weapon-Target Assignment Problem
Hyper Autoencoders
Ml-rbf : RBF Neural Networks for Multi-Label Learning
Least Square Transduction Support Vector Machine
Iterative Contextual Recurrent Classification of Chromosomes
MSFKAN: A Multi-Scale Feature Prediction Network Combined with KAN for Medical Image Classification
Principal Feasability Studies Using Neuro 8211 Numerics for Prediction of Flow Fields
Detecting Ordinal Subcascades
Erratum: A Bi-Directional Multilayer Perceptron
A Block Cipher Algorithm Identification Scheme Based on Hybrid Random Forest and Logistic Regression Model
Electrical Resistivity Inversion Based on a Hybrid CCSFLA-MSVR Method
Authentication of Individuals using Hand Geometry Biometrics: A Neural Network Approach
Self-training and Multi-level Adversarial Network for Domain Adaptive Remote Sensing Image Segmentation
New Finite-Time and Global Mittag-Leffler Stability Criteria for Fractional-Order BAM Neural Networks with S-Type Distributed Delays
Introducing the Visual Imaging Feature to the Text Analysis: High Efficient Soft Computing Models with Bayesian Network
A Robust Sequential Recommendation Model Based on Multiple Feedback Behavior Denoising and Trusted Neighbors
Multi-view Intact Discriminant Space Learning for Image Classification
New Results for Exponential Synchronization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delays
Improve Semi-supervised Learning with Metric Learning Clusters and Auxiliary Fake Samples
Word-Context Attention for Text Representation
Generate Usable Adversarial Examples via Simulating Additional Light Sources
Prediction of Implicit Relationships Using Uncertain Knowledge Graph Embedding and Bayesian Networks
Multi-object Spatial-Temporal Anomaly Detection Using an LSTM-Based Framework
Flow Learning Based Dual Networks for Low-Light Image Enhancement
A Feature Selection Algorithm Based on Equal Interval Division and Minimal-Redundancy-Maximal-Relevance
One-Class Classification Based on Extreme Learning and Geometric Class Information
A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO
Adaptive DBN Using Hybrid Bayesian Lichtenberg Optimization for Intelligent Task Allocation
A New Methodology for Efficient Classification of Multispectral Satellite Images Using Neural Network Techniques
AUMEs: AU Detection-Based Dual-Stream Multi-task 3DCNN for Micro-expression Recognition
Editorial Expression of Concern: No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features
Intelligent Fault Diagnosis of Rolling Bearing Using Adaptive Deep Gated Recurrent Unit
Learning Morpheme Representation for Mongolian Named Entity Recognition
Robust Image Association by Recurrent Neural Subnetworks
A Style-Specific Music Composition Neural Network
PCTDepth: Exploiting Parallel CNNs and Transformer via Dual Attention for Monocular Depth Estimation
Stability Analysis of the Impulsive Projection Neural Network
Radial Basis Function Networks with FIR/IIR Synapses
General Decay Lag Synchronization for Competitive Neural Networks with Constant Delays
A Two-Step Classification Method Based on Collaborative Representation for Positive and Unlabeled Learning
Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
Cost-Sensitive Learning based on Performance Metric for Imbalanced Data
Partial Pinning Control for the Synchronization of Fractional-Order Directed Complex Networks
Hierarchical Reinforcement Learning from Demonstration via Reachability-Based Reward Shaping
Aleatoric Uncertainty for Errors-in-Variables Models in Deep Regression
A New Sparse Learning Machine
N2SkyC: User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers
Classification Algorithm Using Branches Importance
Beating in Membrane Potential Mediated by Cortical gamma Oscillations for Reading Out Synchronous Neuronal Activities Over Distant Cortical Areas
Visual Motor Control of a 7 DOF Robot Manipulator Using Function Decomposition and Sub-Clustering in Configuration Space
Weighting Approaches in Data Mining and Knowledge Discovery: A Review
Robust Support Vector Regression with Generalized Loss Function and Applications
TriEP: Expansion-Pool TriHard Loss for Person Re-Identification
Lagrange Stability of Competitive Neural Networks with Multiple Time-Varying Delays
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers
Mixture of Experts Residual Learning for Hamming Hashing
An Efficient Hybrid Graph Network Model for Traveling Salesman Problem with Drone
An Improved Attention and Hybrid Optimization Technique for Visual Question Answering
Multimodal Bi-direction Guided Attention Networks for Visual Question Answering
Transfer Learning from Unlabeled Data via Neural Networks
A Novel Multi-scale Deep Neural Framework for Script Invariant Text Detection
Data Fusion in Radial Basis Function Networks for Spatial Regression
3D Point Convolutional Network for Dense Scene Flow Estimation
Stability Analysis of Fractional Order Complex-Valued Memristive Neural Networks with Time Delays
BARLAT: A Nearly Unsupervised Approach for Aspect Category Detection
A Wiener Causality Defined by Divergence
No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features
Quantized Control for Synchronization of Delayed Fractional-Order Memristive Neural Networks
An Energy Function for the Random Neural Network
Local Dimensionality Reduction for Non-Parametric Regression
Online Pedestrian Multiple-Object Tracking with Prediction Refinement and Track Classification
Trajectory Control of Convergent Networks
Cascaded Convolutional Neural Networks for Aspect-Based Opinion Summary
Nonlinear neural controller with neural Smith predictor
BDKM: A Blockchain-Based Secure Deduplication Scheme with Reliable Key Management
Polynomial Recurrent Neural Network-Based Adaptive PID Controller With Stable Learning Algorithm
New Result on Finite-Time Stability for Caputo-Katugampola Fractional-Order Neural Networks with Time Delay
ANN Based Solution of Uncertain Linear Systems of Equations
Stable and Refined Style Transfer Using Zigzag Learning Algorithm
Linear State Space Feedforward and Feedback Structures for Blind Source Recovery in Dynamic Environments