yusuke1997/dblp-id-title huggingface dataset:
A theory for learning based on rigid bodies dynamics
Bionic Swarm Control Based on Second-Order Communication Topology
GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering
Logical Relation Inference and Multiview Information Interaction for Domain Adaptation Person Re-Identification
Erratum to "real-time reconfigurable linear threshold elements implemented in floating-gate CMOS"
Privacy and Robustness in Federated Learning: Attacks and Defenses
Efficient learning algorithms for three-layer regular feedforward fuzzy neural networks
Comments on "Approximation capability in C(R n ) by multilayer feedforward networks and related problems"
Blind Image Quality Assessment Using a General Regression Neural Network
Semantics-Aware Hierarchical Decision Framework for Embodied Visual Room Rearrangement
Fixed-weight on-line learning
Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers
On the discrete-time dynamics of the basic Hebbian neural network node
Self-Organizing Neuroevolution for Solving Carpool Service Problem With Dynamic Capacity to Alternate Matches
DLnet With Training Task Conversion Stream for Precise Semantic Segmentation in Actual Traffic Scene
Parametric Stability Criteria for Delayed Recurrent Neural Networks via Flexible Delay-Dividing Method
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment
Compact Modeling of Data Using Independent Variable Group Analysis
Multiclass Probabilistic Classification Vector Machine
Self-Organizing Stacked Type-2 Fuzzy Neural Network With Rule Generalization
Neuroadaptive Fault-Tolerant Control of Quadrotor UAVs: A More Affordable Solution
Hierarchical Neighbors Embedding
Low-Temperature Fabrication of Spiking Soma Circuits Using Nanocrystalline-Silicon TFTs
Neural Networks for Continuous Online Learning and Control
Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection
Real-time reconfigurable linear threshold elements implemented in floating-gate CMOS
A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance
Sparse basis selection: new results and application to adaptive prediction of video source traffic
Delay-Dependent Criteria for Global Robust Periodicity of Uncertain Switched Recurrent Neural Networks With Time-Varying Delay
Full Transformer Framework for Robust Point Cloud Registration With Deep Information Interaction
Synchronization in Coupled Neural Networks With Hybrid Delayed Impulses: Average Impulsive Delay-Gain Method
Radial-Based Oversampling for Multiclass Imbalanced Data Classification
Determination of neural-network topology for partial discharge pulse pattern recognition
Fully Distributed Event-Driven Adaptive Consensus of Unknown Linear Systems
Learning to trade via direct reinforcement
A Conformable Moments-Based Deep Learning System for Forged Handwriting Detection
OS-RRG: Observation State-Aware Radiology Report Generation With Balanced Diagnosis and Attention Intervention
Complex-valued multistate neural associative memory
Robust Kernel Representation With Statistical Local Features for Face Recognition
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
SmithNet: Strictness on Motion-Texture Coherence for Anomaly Detection
Hierarchical-Task Reservoir for Online Semantic Analysis From Continuous Speech
Effects of Motion-Relevant Knowledge From Unlabeled Video to Human-Object Interaction Detection
A Gaussian Process Model for Data Association and a Semidefinite Programming Solution
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior
A Kernel Adaptive Algorithm for Quaternion-Valued Inputs
A Deterministic Annealing Neural Network Algorithm for the Minimum Concave Cost Transportation Problem
Proposal Distribution Calibration for Few-Shot Object Detection
Deep Network Quantization via Error Compensation
Stability Analysis of Discrete-Time Recurrent Neural Networks With Stochastic Delay
Delinquent Events Prediction in Temporal Networked-Guarantee Loans
Spiking Neural P Systems With Polarizations
High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
Derivation of a class of training algorithms
Neural Network Control of Multifingered Robot Hands Using Visual Feedback
Adaptive Diffusion Pairwise Fused Lasso LMS Algorithm Over Networks
Error Bounds for Piecewise Smooth and Switching Regression
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph
Speaker normalization and adaptation using second-order connectionist networks
Neural-Network-Based Fully Distributed Adaptive Consensus for a Class of Uncertain Multiagent Systems
Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning With Heterogeneous LoRA Allocation
Improving the Transferability of Adversarial Examples by Feature Augmentation
Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications
Anchor-Enhanced Geographical Entity Representation Learning
A-SDM: Accelerating Stable Diffusion Through Model Assembly and Feature Inheritance Strategies
Backstepping Technology-Based Adaptive Boundary ILC for an Input-Output-Constrained Flexible Beam
Weather Translation via Weather-Cue Transferring
A Novel Formulation of Trace Ratio Linear Discriminant Analysis
Primal and dual assignment networks
Neuro-fuzzy rule generation: survey in soft computing framework
Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering
Reinforcement Learning-Based Tracking Control for a Three Mecanum Wheeled Mobile Robot
Kernel-Based Least Squares Policy Iteration for Reinforcement Learning
Sampled-Data Consensus of Linear Multi-agent Systems With Packet Losses
Solving Quadratic Programming Problems by Delayed Projection Neural Network
Fundamentals of Artificial Neural Networks [Book Reviews]
The Effect of Target Vector Selection on the Invariance of Classifier Performance Measures
Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction
Distributed Localization for Multi-Agent Systems With Random Noise Based on Iterative Learning
Accurate Tensor Completion via Adaptive Low-Rank Representation
Diffusion Models, Image Super-Resolution, and Everything: A Survey
Organizing Books and Authors by Multilayer SOM
Graph Attention Network for Context-Aware Visual Tracking
Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming
Relevance units latent variable model and nonlinear dimensionality reduction
Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks
Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings
Adaptive Neural Output Feedback Control for Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis and Unknown Control Directions
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals
HONN-Based Adaptive ILC for Pure-Feedback Nonaffine Discrete-Time Systems With Unknown Control Directions
Trusted-Data-Guided Label Enhancement on Noisy Labels
An Evolutionary Orthogonal Component Analysis Method for Incremental Dimensionality Reduction
Universal Memcomputing Machines
Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
A dynamical adaptive resonance architecture
SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection
Artificial neural networks for 3-D motion analysis. I. Rigid motion
Exponential Stability and Stabilization of Delayed Memristive Neural Networks Based on Quadratic Convex Combination Method
Corrections to "On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks" [Sep 06 1116-1125]
Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths
Self-Supervised Learning for Electroencephalography
Efficient χ 2 Kernel Linearization via Random Feature Maps
Decision Manifolds - A Supervised Learning Algorithm Based on Self-Organization
Responding to News Sensitively in Stock Attention Networks via Prompt-Adaptive Trimodal Model
A Survey on Self-Supervised Monocular Depth Estimation Based on Deep Neural Networks
Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy
Frequency-Dependent Energy Demand of Dendritic Responses to Deep Brain Stimulation in Thalamic Neurons: A Model-Based Study
Hierarchical Approach for Multiscale Support Vector Regression
Artificial Intelligence Enhanced Reliability Assessment Methodology With Small Samples
A Deep Ensemble Dynamic Learning Network for Corona Virus Disease 2019 Diagnosis
A comment on "On equilibria, stability, and instability of Hopfield neural networks" [and reply]
Domain-Weighted Majority Voting for Crowdsourcing
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
Single layer neural networks for linear system identification using gradient descent technique
Observer-participant models of neural processing
Visual Grouping by Neural Oscillator Networks
GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks
Taylor O(h 3 ) Discretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
When to Align: Dynamic Behavior Consistency for Multiagent Systems via Intrinsic Rewards
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data
Learning to Track Multiple Targets
General Hamiltonian Neural Networks for Dynamic Modeling: Handling Sophisticated Constraints Automatically and Achieving Coordinates Free
Neural networks for control systems
Low-Discrepancy Points for Deterministic Assignment of Hidden Weights in Extreme Learning Machines
Storage Free Smart Energy Management for Frequency Control in a Diesel-PV-Fuel Cell-Based Hybrid AC Microgrid
AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning
A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sources
Online stabilization of block-diagonal recurrent neural networks
Robust principal component analysis by self-organizing rules based on statistical physics approach
Adaptive Secure Finite-Time Optimal Control of Unknown Nonlinear Systems With State Constraints via Generalized Fuzzy Hyperbolic Models
Tensor Recovery With Weighted Tensor Average Rank
Adaptive Gain Control for Spike-Based Map Communication in a Neuromorphic Vision System
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification
A Novel Dynamic Operation Optimization Method Based on Multiobjective Deep Reinforcement Learning for Steelmaking Process
An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training
Objective image quality assessment based on support vector regression
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction
The simplicial neural cell and its mixed-signal circuit implementation: an efficient neural-network architecture for intelligent signal processing in portable multimedia applications
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning
Select, Purify, and Exchange: A Multisource Unsupervised Domain Adaptation Method for Building Extraction
Developmental Learning With Behavioral Mode Tuning by Carrier-Frequency Modulation in Coherent Neural Networks
Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone
Resolution of Singularities Introduced by Hierarchical Structure in Deep Neural Networks
Errata to "A comparison of methods for multiclass support vector machines"
Set Stabilization of Probabilistic Boolean Networks Using Pinning Control
Hough transform network: learning conoidal structures in a connectionist framework
SentiVec: Learning Sentiment-Context Vector via Kernel Optimization Function for Sentiment Analysis
Synthetic approach to optimal filtering
Stochastic Competitive Learning in Complex Networks
Learning in linear neural networks: a survey
A simplified neural network solution through problem decomposition: the case of the truck backer-upper
A Lie group approach to a neural system for three-dimensional interpretation of visual motion
Hyperspectral Anomaly Detection Based on Adaptive Low-Rank Transformed Tensor
A neural detector for seismic reflectivity sequences
Simultaneous Bayesian Clustering and Feature Selection Through Student's t Mixtures Model
Model-Free Dual Heuristic Dynamic Programming
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector
Online Piecewise Convex-Optimization Interpretable Weight Learning for Machine Life Cycle Performance Assessment
Discrete-Time Stable Generalized Self-Learning Optimal Control With Approximation Errors
Spatial versus temporal stability issues in image processing neuro chips
RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations
Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
Neural Learning Control of Strict-Feedback Systems Using Disturbance Observer
Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications
Bi-PIL: Bidirectional Gradient-Free Learning Scheme for Multilayer Neural Networks
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification
Structure of Indicator Function Classes With Finite Vapnik-Chervonenkis Dimensions
Submission to Special Issue to Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems: Synchronization of Inertial Neural Networks With Unbounded Delays via Sampled-Data Control
A hybrid linear/nonlinear training algorithm for feedforward neural networks
Corrections to "a new error function at hidden layers for fast training of multilayer perceptrons"
Network Unfolding Map by Vertex-Edge Dynamics Modeling
The Minimum Risk Principle That Underlies the Criteria of Bounded Component Analysis
Focused local learning with wavelet neural networks
Multilinear Multitask Learning by Rank-Product Regularization
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
A CMOS analog adaptive BAM with on-chip learning and weight refreshing
Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters
Analysis and design of an analog sorting network
Improved Learning Performance of Hardware Self-Organizing Map Using a Novel Neighborhood Function
Comments on 'Dynamic programming approach to optimal weight selection in multilayer neural networks' [with reply]
Pruning Noisy Bases in Discriminant Analysis
Genetic evolution of radial basis function coverage using orthogonal niches
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Single Image Super-Resolution With Multiscale Similarity Learning
Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks
Convergence Analysis of the FOCUSS Algorithm
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation
Multistability of Fractional-Order Neural Networks With Unbounded Time-Varying Delays
Neural network design using Voronoi diagrams
Efficient Neural Network Compression Inspired by Compressive Sensing
Three-dimensional object representation and invariant recognition using continuous distance transform neural networks
Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification
Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network
Class-Specific Prompt Learning for Vision-Language Models
Centralized and Collective Neurodynamic Optimization Approaches for Sparse Signal Reconstruction via L₁-Minimization
CUDA-X: Unsupervised Domain-Adaptive Vehicle-to-Everything Collaboration via Knowledge Transfer and Alignment
Distributed Finite-Time Fault-Tolerant Containment Control for Multiple Unmanned Aerial Vehicles
Separability and Compactness Network for Image Recognition and Superresolution
A Dual-Discriminator Generative Adversarial Network for Anomaly Detection
DiffCL: A Diffusion-Based Contrastive Learning Framework With Semantic Alignment for Multimodal Recommendations
Reinforcement Learning Control With Knowledge Shaping
Gradients Cannot Be Tamed: Behind the Impossible Paradox of Blocking Targeted Adversarial Attacks
Camouflaged Object Segmentation Based on Matching-Recognition-Refinement Network
A Systematic Review on Long-Tailed Learning
MetaIndux-TS: Frequency-Aware AIGC Foundation Model for Industrial Time Series
Similarities of error regularization, sigmoid gain scaling, target smoothing, and training with jitter
Adaptive detection of small sinusoidal signals in non-Gaussian noise using an RBF neural network
Tikhonov training of the CMAC neural network
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
A multiobjective simultaneous learning framework for clustering and classification
Adaptive Neural Network-Based Filter Design for Nonlinear Systems With Multiple Constraints
Median radial basis function neural network
Few-Shot Object Detection: A Comprehensive Survey
Adaptive Antisynchronization of Multilayer Reaction-Diffusion Neural Networks
Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems
A subthreshold MOS neuron circuit based on the Volterra system
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real
Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices
Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis
Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States
An ART-based construction of RBF networks
Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition
Block Sparse Variational Bayes Regression Using Matrix Variate Distributions With Application to SSVEP Detection
Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression
Continuous attractors of Lotka-Volterra recurrent neural networks with infinite neurons
Learning to Classify With Incremental New Class
Time-Series Contrastive Learning Against False Negatives and Class Imbalance
Robust Multiobjective Reinforcement Learning Considering Environmental Uncertainties
Processing of chemical sensor arrays with a biologically inspired model of olfactory coding
Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach
Degree of familiarity ART2 in knowledge-based landmine detection
Optimal convergence of on-line backpropagation
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
Finite-Time Consensus of Second-Order Switched Nonlinear Multi-Agent Systems
Artificial neural networks for 3-D motion analysis-Part II: Nonrigid motion
A Novel Blood Glucose Regulation Using TSK 0 -FCMAC: A Fuzzy CMAC Based on the Zero-Ordered TSK Fuzzy Inference Scheme
Detachable Second-Order Pooling: Toward High-Performance First-Order Networks
Adaptive Sliding Mode Control of Dynamic Systems Using Double Loop Recurrent Neural Network Structure
Memorizing Structure-Texture Correspondence for Image Anomaly Detection
Attribute Prompt Alignment Network for Zero-Shot Learning
Advances in independent component analysis [Book Review]
Location-Aware and Regularization-Adaptive Correlation Filters for Robust Visual Tracking
Learning Deep and Wide: A Spectral Method for Learning Deep Networks
One-Click-Based Perception for Interactive Image Segmentation
A Learning-Based Approach for Diagnosis and Diagnosability of Unknown Discrete Event Systems
Adaptive Quasi-Newton Algorithm for Source Extraction via CCA Approach
Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained Optimization
Efficient Multitask Reinforcement Learning Without Performance Loss
Robust Low-Tubal-Rank Tensor Completion Based on Tensor Factorization and Maximum Correntopy Criterion
A new class of quasi-Newtonian methods for optimal learning in MLP-networks
Semi-Supervised Learning by Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien (Review)
A Hybrid Design of Fault Detection for Nonlinear Systems Based on Dynamic Optimization
Label Distribution Learning by Exploiting Label Distribution Manifold
Adversary Agnostic Robust Deep Reinforcement Learning
Nonlinear Projection Trick in Kernel Methods: An Alternative to the Kernel Trick
Wormhole Dynamics in Deep Neural Networks
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification
Nonsymmetric PDF estimation by artificial neurons: application to statistical characterization of reinforced composites
Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence [Book Review]
Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
Hierarchical Reinforcement Learning for UAV-PE Game With Alternative Delay Update Method
Distributed Neural Network Control for Adaptive Synchronization of Uncertain Dynamical Multiagent Systems
Heterogeneous Domain Adaptation: An Unsupervised Approach
Decision Fusion Networks for Image Classification
Multiprior Learning Via Neural Architecture Search for Blind Face Restoration
Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers
Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks
Asymptotic level density in topological feature maps
On equilibria, stability, and instability of Hopfield neural networks
Disturbance Observer-Based Adaptive Intelligent Control of Marine Vessel With Position and Heading Constraint Condition Related to Desired Output
Fully Tensorized Lightweight ConvLSTM Neural Networks for Hyperspectral Image Classification
Gradient-based manipulation of nonparametric entropy estimates
Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch
The MCA EXIN neuron for the minor component analysis
Semi-Supervised Anomaly Detection Using Restricted Distribution Transformation
Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning
Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems
Federated Learning via Plurality Vote
Confabulation-Inspired Association Rule Mining for Rare and Frequent Itemsets
Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach
Neural Networks for Portfolio Analysis With Cardinality Constraints
Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences
The Mod 2 Neurocomputer system design
Adaboost-LLP: A Boosting Method for Learning With Label Proportions
A Delayed Projection Neural Network for Solving Linear Variational Inequalities