yusuke1997/dblp-id-title huggingface dataset:
Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation
Semisupervised Multitask Learning With Gaussian Processes
A skeleton and neural network-based approach for identifying cosmetic surface flaws
A two-layer paradigm capable of forming arbitrary decision regions in input space
A new method for stability analysis of recurrent neural networks with interval time-varying delay
Scalable closed-boundary analog neural networks
Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization
Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks
HPCR: Holistic Proxy-Based Contrastive Replay for Online Continual Learning
Synchronizing Neural Networks With Proportional Delays Based on a Class of q-Type Allowable Time Scales
Optimized Kernel Entropy Components
Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis
Synchronization rates in classes of relaxation oscillators
A Deep Convolutional Gated Recurrent Unit for CT Image Reconstruction
Anomaly Detection With Representative Neighbors
Align While Fusion: A Generalized Nonaligned Multiview Multilabel Classification Method
Open Set Domain Adaptation: Theoretical Bound and Algorithm
Enhancing Explainability of Neural Networks Through Architecture Constraints
Clustering Enhanced Multiplex Graph Contrastive Representation Learning
Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks
DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network
diffGrad: An Optimization Method for Convolutional Neural Networks
Mild Policy Evaluation for Offline Actor-Critic
ELITE: Ensemble of Optimal Input-Pruned Neural Networks Using TRUST-TECH
Neural Network-Based Cooperative Trajectory Tracking Control for a Mobile Dual Flexible Manipulator
Fully Spiking Actor Network With Intralayer Connections for Reinforcement Learning
Spatio-temporal feature maps using gated neuronal architecture
Large margin nearest neighbor classifiers
N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems
Robust neural-network control of rigid-link electrically driven robots
Graph-Based Function Perturbation Analysis for Observability of Multivalued Logical Networkss
Neural-Network-Based Nonlinear Adaptive Dynamical Decoupling Control
Local Synchronization for Delayed Complex Dynamical Networks via Self-Triggered Impulsive Control Involving Delays
Using localizing learning to improve supervised learning algorithms
A novel neural network for variational inequalities with linear and nonlinear constraints
Artificial neural networks controlled fast valving in a power generation plant
Intrinsic Plasticity-Based Neuroadptive Control With Both Weights and Excitability Tuning
Pontryagin's Minimum Principle-Guided RL for Minimum-Time Exploration of Spatiotemporal Fields
Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph
A New Stochastic Computing Methodology for Efficient Neural Network Implementation
Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks
A phase-based approach to the estimation of the optical flow field using spatial filtering
LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution
Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption
A Robust Coevolutionary Neural-Based Optimization Algorithm for Constrained Nonconvex Optimization
Asymptotic Stability of a Class of Neutral Delay Neuron System in a Critical Case
Efficient Relighting of RBF-Based Illumination Adjustable Images
Neuroadaptive Fault-Tolerant Control With Guaranteed Performance for Euler-Lagrange Systems Under Dying Power Faults
Data-Driven Finite-Horizon H ∞ Tracking Control With Event-Triggered Mechanism for the Continuous-Time Nonlinear Systems
Doubly stochastic Poisson processes in artificial neural learning
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders
Adaptive Neural Control for a Class of Nonlinear Multiagent Systems
Robust speech recognition based on joint model and feature space optimization of hidden Markov models
Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective
Parameter Incremental Learning Algorithm for Neural Networks
A Survey of the Usages of Deep Learning for Natural Language Processing
An incremental training method for the probabilistic RBF network
Probabilistic Motion Prediction and Skill Learning for Human-to-Cobot Dual-Arm Handover Control
Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix
Machine Learning Memory Kernels as Closure for Non-Markovian Stochastic Processes
Event-Triggered-Based Distributed Consensus Tracking for Nonlinear Multiagent Systems With Quantization
Multiscale Deep Learning for Detection and Recognition: A Comprehensive Survey
A new class of wavelet networks for nonlinear system identification
Neural-network-based adaptive UPFC for improving transient stability performance of power system
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment
High-Order Neighbors Aware Representation Learning for Knowledge Graph Completion
Feature Selection With ℓ 2, 1-2 Regularization
Feature Interaction for Streaming Feature Selection
Discriminant Nonnegative Tensor Factorization Algorithms
BTPNet: A Probabilistic Spatial-Temporal Aware Network for Burn-Through Point Multistep Prediction in Sintering Process
Online Graph Models: Tackling the Challenges of Non-Gaussian Noise in Adaptive Filtering
Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision
A new methodology of extraction, optimization and application of crisp and fuzzy logical rules
Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems
Weakly Supervised Object Localization With Progressive Activation Diffusion
Benchmarking Neural Networks For Quantum Computations
Helicopter trimming and tracking control using direct neural dynamic programming
Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning
Fast combinatorial optimization with parallel digital computers
Compact and Stable Memristive Visual Geometry Group Neural Network
Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data
Image interpolation for progressive transmission by using radial basis function networks
Impulsive Stabilization of High-Order Hopfield-Type Neural Networks With Time-Varying Delays
Robust Matrix Factorization With Spectral Embedding
A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification
Frequency Principle in Broad Learning System
Randomized Prediction Games for Adversarial Machine Learning
New Conditions for Global Asymptotic Stability of Memristor Neural Networks
Adaptive stochastic resonance in noisy neurons based on mutual information
Go Deep or Broad? Exploit Hybrid Network Architecture for Weakly Supervised Object Classification and Localization
Nonparametric estimation and classification using radial basis function nets and empirical risk minimization
Boosting Communication Efficiency in Federated Learning for Multiagent-Based Multimicrogrid Energy Management
Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems
Modeling Event Propagation via Graph Biased Temporal Point Process
Gray Learning From Non-IID Data With Out-of-Distribution Samples
A new method to optimize the satellite broadcasting schedules using the mean field annealing of a Hopfield neural network
RBF-Based Technique for Statistical Demodulation of Pathological Tremor
Transfer Increment for Generalized Zero-Shot Learning
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks
Digital neural emulators using tree accumulation and communication structures
Toward Efficient Palmprint Feature Extraction by Learning a Single-Layer Convolution Network
Uniform Stability of Complex-Valued Neural Networks of Fractional Order With Linear Impulses and Fixed Time Delays
Multigraph Fusion for Dynamic Graph Convolutional Network
Semi-Supervised Learning Under General Causal Models
Learning Low-Dimensional Latent Graph Structures: A Density Estimation Approach
A Survey on Deep Learning Event Extraction: Approaches and Applications
Alpha and Prejudice: Improving α-Sized Worst Case Fairness via Intrinsic Reweighting
L 1 -Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network
Neural Networks Multiobjective Learning With Spherical Representation of Weights
Configurable Graph Reasoning for Visual Relationship Detection
Feature Consistency-Based Prototype Network for Open-Set Hyperspectral Image Classification
WPConvNet: An Interpretable Wavelet Packet Kernel-Constrained Convolutional Network for Noise-Robust Fault Diagnosis
Tridirectional Transfer Learning for Predicting Gastric Cancer Morbidity
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks
CMOS current-mode neural associative memory design with on-chip learning
Fuzzy neural networks with reference neurons as pattern classifiers
Event-Triggered Adaptive Neural Network Control for Stochastic Nonlinear Systems With State Constraints and Time-Varying Delays
Discovering Spatiotemporal-Individual Coupled Features From Nonstandard Tensors - A Novel Dynamic Graph Mixer Approach
Identification of finite state automata with a class of recurrent neural networks
Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network
Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays
A fuzzy ARTMAP nonparametric probability estimator for nonstationary pattern recognition problems
Generalizing self-organizing map for categorical data
Distributed Group Coordination of Multiagent Systems in Cloud Computing Systems Using a Model-Free Adaptive Predictive Control Strategy
Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs
Evolved Feature Weighting for Random Subspace Classifier
Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks
Non-Negative Patch Alignment Framework
Multilayer SOM With Tree-Structured Data for Efficient Document Retrieval and Plagiarism Detection
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification
Multilinear Sparse Principal Component Analysis
Inferring Latent Temporal Sparse Coordination Graph for Multiagent Reinforcement Learning
Associative learning in random environments using neural networks
Efficient Optimal Linear Boosting of a Pair of Classifiers
Fast converging minimum probability of error neural network receivers for DS-CDMA communications
Handheld Ultrasound Video High-Quality Reconstruction Using a Low-Rank Representation Multipathway Generative Adversarial Network
Two-View Correspondence Learning With Local Consensus Transformer
Model Compression Based on Differentiable Network Channel Pruning
Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form
Nonlinear Systems Identification and Control Via Dynamic Multitime Scales Neural Networks
Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification
Hybrid Deep Learning-Gaussian Process Network for Pedestrian Lane Detection in Unstructured Scenes
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network
Neural Network Learning With Global Heuristic Search
ARPOP: An Appetitive Reward-Based Pseudo-Outer-Product Neural Fuzzy Inference System Inspired From the Operant Conditioning of Feeding Behavior in Aplysia
Evolving neural networks to play checkers without relying on expert knowledge
G-Diff: A Graph-Based Decoding Network for Diffusion Recommender Model
Robust Exponential Stability of Uncertain Stochastic Neural Networks With Distributed Delays and Reaction-Diffusions
Algorithms for nonnegative independent component analysis
M2DCapsN: Multimodal, Multichannel, and Dual-Step Capsule Network for Natural Language Moment Localization
EEG-Based Emotion Monitoring and Regulation System by Learning the Discriminative Brain Network Manifold
Discriminant Locality Preserving Projections Based on L1-Norm Maximization
Combined Convex Technique on Delay-Dependent Stability for Delayed Neural Networks
VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
Least Square Regularized Regression in Sum Space
Deep Learning for Fashion Style Generation
Quantum-Based Algorithm for Optimizing Artificial Neural Networks
Easy2Hard: Learning to Solve the Intractables From a Synthetic Dataset for Structure-Preserving Image Smoothing
Aligning Correlation Information for Domain Adaptation in Action Recognition
A Novel Learning-Based Trajectory Generation Strategy for a Quadrotor
Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis
Observer-Based Adaptive Neural Network Trajectory Tracking Control for Remotely Operated Vehicle
Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method
Differential competitive learning for centroid estimation and phoneme recognition
A remark on "Scalar equations for synchronous Boolean networks with biological Applications" by C. Farrow, J. Heidel, J. Maloney, and J. Rogers
Fast training of multilayer perceptrons
Leveraging Directed Causal Discovery to Detect Latent Common Causes in Cause-Effect Pairs
Robust ADP Design for Continuous-Time Nonlinear Systems With Output Constraints
Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs
Adaptive Neural Network Stochastic-Filter-Based Controller for Attitude Tracking With Disturbance Rejection
Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network
Generalized Single-Hidden Layer Feedforward Networks for Regression Problems
Coupled Neural P Systems
Direction-Coded Temporal U-Shape Module for Multiframe Infrared Small Target Detection
Recognition of human head orientation based on artificial neural networks
Adaptive Neural Output Feedback Compensation Control for Intermittent Actuator Faults Using Command-Filtered Backstepping
Wavelet-Based Dual Recursive Network for Image Super-Resolution
Deep Hybrid 2-D-3-D CNN Based on Dual Second-Order Attention With Camera Spectral Sensitivity Prior for Spectral Super-Resolution
Markov Blanket Feature Selection Using Representative Sets
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation
Projective Incomplete Multi-View Clustering
Hierarchical Dynamic Graph Convolutional Network With Interpretability for EEG-Based Emotion Recognition
Designing Iterative Learning Schemes for Cooperative-Antagonistic Systems With Random Access Communication Protocols
On Selecting Effective Patterns for Fast Support Vector Regression Training
A Kernel-Based Multi-Featured Rock Modeling and Detection Framework for a Mars Rover
Density-Based Distance Preserving Graph: Theoretical and Practical Analyses
Cross-Domain Graph Anomaly Detection
A Memristor-Based Neural Network Circuit With Retrospective Revaluation Effect and Application in Intelligent Household Robots
Learning-Based Adaptive Optimal Tracking Control of Strict-Feedback Nonlinear Systems
A connectionist model for corner detection in binary and gray images
Global exponential stability of competitive neural networks with different time scales
Generalized Convolution Spectral Mixture for Multitask Gaussian Processes
Chaotic Simulated Annealing by a Neural Network With a Variable Delay: Design and Application
Neural Architecture Search Based on Bipartite Graphs for Text Classification
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot
Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation
Real-time simulation of biologically realistic stochastic neurons in VLSI
Neural Learning-Based Fixed-Time Consensus Tracking Control for Nonlinear Multiagent Systems With Directed Communication Networks
Complex-Valued Multistate Associative Memory With Nonlinear Multilevel Functions for Gray-Level Image Reconstruction
Toward the Extension and Enhanced Representation for Ambiguous Query With Search Heterogeneous Graph Learning
Simple Artificial Neural Networks That Match Probability and Exploit and Explore When Confronting a Multiarmed Bandit
Reservoir Computing Universality With Stochastic Inputs
Conv4Rec: A 1-by-1 Convolutional Autoencoder for User Profiling Through Joint Analysis of Implicit and Explicit Feedback
Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks
Global Stability of Complex-Valued Recurrent Neural Networks With Time-Delays
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario
Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images
An augmented LKF approach involving derivative information of both state and delay
Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning
Unsupervised Continual Learning in Streaming Environments
Multiscale Cross-Connected Dehazing Network With Scene Depth Fusion
Analysis and Design of a Distributed kWTA With Application in Sealed-Bid Auctions With Bidding Price Privacy Protection
Adaptive Fault-Tolerant Control for Nonlinear Systems With Multiple Sensor Faults and Unknown Control Directions
Global-Guided Selective Context Network for Scene Parsing
Finite-Time Passivity and Synchronization of Multi-Weighted Complex Dynamical Networks Under PD Control
A Survey and Evaluation of Adversarial Attacks in Object Detection
Distributed Constrained Optimization With Delayed Subgradient Information Over Time-Varying Network Under Adaptive Quantization
Multistability of Second-Order Competitive Neural Networks With Nondecreasing Saturated Activation Functions
Extension of dynamic link matching by introducing local linear maps
Nonpeaked Discriminant Analysis for Data Representation
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction
Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks
Variational Learning for Finite Dirichlet Mixture Models and Applications
Adaptive neural control of uncertain MIMO nonlinear systems
3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing
Dynamic Surface Control for a Class of Nonlinear Feedback Linearizable Systems With Actuator Failures
Selective Memory Recursive Least Squares: Recast Forgetting Into Memory in RBF Neural Network-Based Real-Time Learning
Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks
Successive Overrelaxation for Laplacian Support Vector Machine
Multiconlitron: A General Piecewise Linear Classifier
HVCMM: A Hybrid-View Abstractive Model of Automatic Summary Generation for Teaching
Learning Subspace-Based RBFNN Using Coevolutionary Algorithm for Complex Classification Tasks
SpikeTemp: An Enhanced Rank-Order-Based Learning Approach for Spiking Neural Networks With Adaptive Structure
24-GOPS 4.5-mm 2 Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC
Neural AILC for Error Tracking Against Arbitrary Initial Shifts
General 7-Instant DCZNN Model Solving Future Different-Level System of Nonlinear Inequality and Linear Equation
Cross-Media Semantic Correlation Learning Based on Deep Hash Network and Semantic Expansion for Social Network Cross-Media Search
Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems
Minimum Data Requirement for Neural Networks Based on Power Spectral Density Analysis
Observer-Based Event-Triggered Fault-Tolerant Synchronization for Memristive Neural Networks Subject to Multiple Failures
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels
Mask-Guided Vision Transformer for Few-Shot Learning
Fast training of recurrent networks based on the EM algorithm
Deep Attentional Guided Image Filtering
Improved training of neural networks for the nonlinear active control of sound and vibration
Advancing Adversarial Training by Injecting Booster Signal
Fixed-Time System Identification Using Concurrent Learning
RBF neural network center selection based on Fisher ratio class separability measure
Learning capacity and sample complexity on expert networks
Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control With Actuator Fault
Cline: A New Decision-Tree Family
Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval
Adaptive color segmentation-a comparison of neural and statistical methods
Data-Driven State Transition Algorithm for Fuzzy Chance-Constrained Dynamic Optimization
Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery
The pandemonium system of reflective agents
Reciprocal-Kind Zhang Neurodynamics Method for Temporal-Dependent Sylvester Equation and Robot Manipulator Motion Planning
A Network Framework for Small-Sample Learning
Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient
Learning-Regulated Context Relevant Topographical Map
Sparse Neural Networks With Large Learning Diversity
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss
Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking
Sampled-Data State Estimation for LSTM
Cooperative ETM-Based Adaptive Neural Network Tracking Control for Nonlinear Pure-Feedback MASs: A Special-Shaped Laplacian Matrix Method
Robust RGB-T Tracking via Graph Attention-Based Bilinear Pooling
q-Neurons: Neuron Activations Based on Stochastic Jackson's Derivative Operators
Ranging through Gabor logons-a consistent, hierarchical approach
Multilayer Perceptrons: Approximation Order and Necessary Number of Hidden Units
Reduced-Order Filtering of Delayed Static Neural Networks With Markovian Jumping Parameters
Dense Optimizer: An Information Entropy-Guided Structural Search Method for Dense-Like Neural Network Design
Stability Analysis of Quaternion-Valued Neural Networks: Decomposition and Direct Approaches
Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays
RealignDiff: Boosting Text-to-Image Diffusion Model With Coarse-to-Fine Semantic Realignment
Adaptive Optimal Control for a Class of Nonlinear Systems: The Online Policy Iteration Approach
Domain-Adaptive Crowd Counting via High-Quality Image Translation and Density Reconstruction
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting
Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data
Adaptive Bipartite Event-Triggered Output Consensus of Heterogeneous Linear Multiagent Systems Under Fixed and Switching Topologies
Topology of Learning in Feedforward Neural Networks
Rank-Constrained Spectral Clustering With Flexible Embedding
Modified Hopfield neural networks for retrieving the optimal solution
Extending Stochastic Resonance for Neuron Models to General Lévy Noise
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment