yusuke1997/dblp-id-title huggingface dataset:
Training Provably Robust Models by Polyhedral Envelope Regularization
Adaptive Event-Triggered Neural Network Control for Switching Nonlinear Systems With Time Delays
Optimal adaptive k-means algorithm with dynamic adjustment of learning rate
Cube Kohonen Self-Organizing Map (CKSOM) Model With New Equations in Organizing Unstructured Data
High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism
Improving Adversarial Robustness Against Universal Patch Attacks Through Feature Norm Suppressing
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization
Unsupervised Dual Transformer Learning for 3-D Textured Surface Segmentation
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors
CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory-Processing- Learning-Actuating System for High-Speed Visual Object Recognition and Tracking
Semi-Heterogeneous Graph-Perception Network With Gradient-Weighted Class Activation Mapping for Class-Incremental Industrial Fault Recognition and Root Cause Diagnosis
AudioVisual Video Summarization
Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification
Errata To "A Study Of Cloud Classification With Neural Networks Using Spectral And Textural Features"
Bounds on the number of hidden neurons in multilayer perceptrons
Output Feedback-Based Consensus for Nonlinear Multiagent Systems: The Event-Triggered Communication Strategy
Using random weights to train multilayer networks of hard-limiting units
Supervised self-coding in multilayered feedforward networks
Clinical Prompt Learning With Frozen Language Models
Sparse LSSVM in Primal Using Cholesky Factorization for Large-Scale Problems
A Survey of End-to-End Driving: Architectures and Training Methods
Curriculumformer: Taming Curriculum Pre-Training for Enhanced 3-D Point Cloud Understanding
Stochastic Stability of Markovian Neural Networks With Generally Hybrid Transition Rates
Oscillatory and chaotic dynamics in neural networks under varying operating conditions
Exponential Synchronization of Delayed Memristor-Based Uncertain Complex-Valued Neural Networks for Image Protection
Multiple incremental decremental learning of support vector machines
The State Following Approximation Method
Solving Multiextremal Problems by Using Recurrent Neural Networks
A Novel Recurrent Neural Network for Manipulator Control With Improved Noise Tolerance
Nonlinear model structure detection using optimum experimental design and orthogonal least squares
Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning
Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition
A Kohonen-like decomposition method for the Euclidean traveling salesman problem-KNIES_DECOMPOSE
Consistency Hierarchy of Reservoir Computers
Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems [Book review]
A formal selection and pruning algorithm for feedforward artificial neural network optimization
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning
A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables
Neural Network Control for Position Tracking of a Two-Axis Inverted Pendulum System: Experimental Studies
Passivity Analysis for Quaternion-Valued Memristor-Based Neural Networks With Time-Varying Delay
Frequency-Aware Divide-and-Conquer for Efficient Real Noise Removal
Uncertainty-Aware Portfolio Management With Risk-Sensitive Multiagent Network
Neural Network-Based Optimal Adaptive Output Feedback Control of a Helicopter UAV
Rectified Binary Network for Single-Image Super-Resolution
Determining and improving the fault tolerance of multilayer perceptrons in a pattern-recognition application
A Fast and Accurate Matrix Completion Method Based on QR Decomposition and $L_{2, 1}$ -Norm Minimization
Low-Cost Approximation-Based Adaptive Tracking Control of Output-Constrained Nonlinear Systems
Welcome to the IEEE Neural Networks Society
A Hopfield Neural Network for Image Change Detection
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization
Semiparametric Clustering: A Robust Alternative to Parametric Clustering
New Lyapunov-Krasovskii Functionals for Global Asymptotic Stability of Delayed Neural Networks
Spectral Clustering on Multiple Manifolds
Dynamic Neural-Network-Based Model-Predictive Control of an Industrial Baker's Yeast Drying Process
Recurrent Neural Network for Computing the Drazin Inverse
Deep Progressive Reinforcement Learning-Based Flexible Resource Scheduling Framework for IRS and UAV-Assisted MEC System
Few-Shot Learning With Enhancements to Data Augmentation and Feature Extraction
Transductive Ordinal Regression
KL-DNAS: Knowledge Distillation-Based Latency Aware-Differentiable Architecture Search for Video Motion Magnification
Deep Learning in Visual Tracking: A Review
Genetic evolution of the topology and weight distribution of neural networks
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma
Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study
A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness
Robust Gradient Learning With Applications
Fractional Norm Regularization: Learning With Very Few Relevant Features
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling
A Pyramidal Neural Network For Visual Pattern Recognition
A Collaborative Neurodynamic Optimization Approach to Distributed Chiller Loading
RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language-Image Pretraining
Stability of steepest descent with momentum for quadratic functions
Adaptive Drive-Response Synchronization of Timescale-Type Neural Networks With Unbounded Time-Varying Delays
Spiking perceptrons
A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations
Adaptive hybrid control for linear piezoelectric ceramic motor drive using diagonal recurrent CMAC network
Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework
Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG
Matrix Factorization From a Few Dominators
Feature Combiners With Gate-Generated Weights for Classification
Distributed fault tolerance in optimal interpolative nets
RBFNN-Based Data-Driven Predictive Iterative Learning Control for Nonaffine Nonlinear Systems
Knowledge Transfer via Decomposing Essential Information in Convolutional Neural Networks
Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering
Context-Aware Learning for Generative Models
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation
Complex-Valued Neural Networks (Hirose, A.; 2006) [Book review]
Lag Synchronization of Memristor-Based Coupled Neural Networks via ω-Measure
An Accelerated Maximally Split ADMM for a Class of Generalized Ridge Regression
A Geometrical Method to Improve Performance of the Support Vector Machine
A competitive associative memory model and its dynamics
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis
Analysis of augmented-input-Layer RBFNN
Nonfragile Impulsive State Estimation for Complex Networks With Markovian Switching Topologies Subject to Limited Bit Rate Constraints
Pinning Controller Design for Set Reachability of State-Dependent Impulsive Boolean Networks
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic Perspective
Study of the Convergence Behavior of the Complex Kernel Least Mean Square Algorithm
PSECMAC intelligent insulin schedule for diabetic blood glucose management under nonmeal announcement
Reduced-Size Kernel Models for Nonlinear Hybrid System Identification
Neurodynamic Programmingand Zero-Sum Games for Constrained Control Systems
Exploiting Combination Effect for Unsupervised Feature Selection by ℓ 2, 0 Norm
Geometrical Interpretation and Design of Multilayer Perceptrons
Mine detection using scattering parameters
Adaptive Learning and Control for MIMO System Based on Adaptive Dynamic Programming
Constrained Clustering With Imperfect Oracles
Mitigating Modality Discrepancies for RGB-T Semantic Segmentation
A Novel Approach for Perceptions of Physician Decision-Making and Latent Topic Refinement in Large Language Model-Enhanced Medical Dialog Generation
A minor subspace analysis algorithm
Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks
SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks
Semisupervised Learning Based on Generalized Point Charge Models
A new method for the control of discrete nonlinear dynamic systems using neural networks
Selective Contrastive Learning for Unpaired Multi-View Clustering
Hybrid Neural Adaptive Control for Practical Tracking of Markovian Switching Networks
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization
The equivalent martingale measure: an introduction to pricing using expectations
Video Moment Retrieval With Noisy Labels
An adaptable time-delay neural-network algorithm for image sequence analysis
Unsupervised Multimodal Anomaly Detection With Missing Sources for Liquid Rocket Engine
Toward Mining Capricious Data Streams: A Generative Approach
MDEformer: Mixed Difference Equation Inspired Transformer for Compressed Video Quality Enhancement
Decomposition of Rotor Hopfield Neural Networks Using Complex Numbers
Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission
GLaLT: Global-Local Attention-Augmented Light Transformer for Scene Text Recognition
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems
An introduction to simulated evolutionary optimization
Modified Multivalued Neuron With Periodic Tolerant Activation Function
Training neural nets with the reactive tabu search
Supervised Feature Selection With Orthogonal Regression and Feature Weighting
Synchronization for Coupled Neural Networks With Interval Delay: A Novel Augmented Lyapunov-Krasovskii Functional Method
Graph Few-Shot Learning via Restructuring Task Graph
Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation
Control of a class of nonlinear discrete-time systems using multilayer neural networks
On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning
COMIRE: A Consistence-Based Mislabeled Instances Removal Method
Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming
Disentangled Representation Learning for Causal Inference With Instruments
Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator
Continuous speech recognition by connectionist statistical methods
A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method
CCGIB: A Cross-Channel Graph Information Bottleneck Principle
Collective recall via the brain-state-in-a-box network
Blind signal processing by complex domain adaptive spline neural networks
RGBT Tracking via Noise-Robust Cross-Modal Ranking
Image shadow removal using pulse coupled neural network
Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management
Output Regularization With Cluster-Based Soft Targets
t-Exponential Memory Networks for Question-Answering Machines
Stabilization of Second-Order Memristive Neural Networks With Mixed Time Delays via Nonreduced Order
A board system for high-speed image analysis and neural networks
Finite-Time Boundedness of Impulsive Delayed Reaction-Diffusion Stochastic Neural Networks
Adaptive lag synchronization for competitive neural networks with mixed delays and uncertain hybrid perturbations
Computational Fluid Dynamic Network for Infrared Small Target Detection
Adaptive Synchronization of Fractional-Order Output-Coupling Neural Networks via Quantized Output Control
Neural Encoding and Decoding With Distributed Sentence Representations
Synchronization of nonlinear electronic oscillators for neural computation
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning
Two Birds With One Stone: A Coupled Poisson Deconvolution for Detecting and Describing Topics From Multimodal Web Data
Learning With Annotation of Various Degrees
Concept-Aware Graph Convolutional Network for Compositional Zero-Shot Learning
Morphology and autowave metric on CNN applied to bubble-debris classification
Prediction limit estimation for neural network models
Stability and L 2 Performance Analysis of Stochastic Delayed Neural Networks
ODMTCNet: An Interpretable Multiview Deep Neural Network Architecture for Feature Representation
A new pruning heuristic based on variance analysis of sensitivity information
LTNN: A Layerwise Tensorized Compression of Multilayer Neural Network
Robust Few-Shot Learning Without Using Any Adversarial Samples
Hidden space support vector machines
Performance-Oriented Antiwindup for a Class of Linear Control Systems With Augmented Neural Network Controller
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
Maximization of Mutual Information for Supervised Linear Feature Extraction
Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images
Unsupervised Domain Adaptation on Person Reidentification Via Dual-Level Asymmetric Mutual Learning
Self-Weighted Clustering With Adaptive Neighbors
Graph-Collaborated Auto-Encoder Hashing for Multiview Binary Clustering
Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors
On global-local artificial neural networks for function approximation
Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources
An improved Voronoi-diagram-based neural net for pattern classification
MSFlow: Multiscale Flow-Based Framework for Unsupervised Anomaly Detection
Bidirectional Multiscale Efficient Dilated Convolutional Recurrent Neural Network Improved by Swarm Intelligence Optimization
Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning
Granular-Ball Regeneration Clustering With Principle of Justifiable Granularity
VOGTNet: Variational Optimization-Guided Two-Stage Network for Multispectral and Panchromatic Image Fusion
3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification
Dynamical Attention Hypergraph Convolutional Network for Group Activity Recognition
Federated Discriminative Representation Learning for Image Classification
Exponential Synchronization of Complex Networks With Finite Distributed Delays Coupling
PStyle-3D: Example-Based 3-D-Aware Portrait Style Domain Adaptation
Multi-Sensor Fusion Boolean Bayesian Filtering for Stochastic Boolean Networks
A recurrent neural network for solving Sylvester equation with time-varying coefficients
EMWQ: An Efficient Mixed Precision Weight Quantization Method for Large Language Models
On Inhomogeneous Infinite Products of Stochastic Matrices and Their Applications
Robust Multivariate Time Series Forecasting Against Intraseries and Interseries Transitional Shift
A local neural classifier for the recognition of EEG patterns associated to mental tasks
Functional networks with applications: a neural-based paradigm [Book Review]
Hierarchical Deep Reinforcement Learning for Continuous Action Control
Global-Local Multiple Granularity Learning for Cross-Modality Visible-Infrared Person Reidentification
Foreground Capture Feature Pyramid Network-Oriented Object Detection in Complex Backgrounds
Adaptive Neural Control for a Class of Pure-Feedback Nonlinear Systems via Dynamic Surface Technique
Multioutput Convolution Spectral Mixture for Gaussian Processes
QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion
State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks
Active set support vector regression
Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data
Efficient Approximation of High-Dimensional Functions With Neural Networks
On the closure of the set of functions that can be realized by a given multilayer perceptron
Logistic Localized Modeling of the Sample Space for Feature Selection and Classification
An analysis of global asymptotic stability of delayed cellular neural networks
Discrete-Time Reinforcement Learning Adaptive Control for Non-Gaussian Distribution of Sampling Intervals
Using recurrent neural networks for adaptive communication channel equalization
Synchronization phenomena in pulse-coupled networks driven by spike-train inputs
Spiking Deep Residual Networks
Vision-Language Navigation With Beam-Constrained Global Normalization
k* Distribution: Evaluating the Latent Space of Deep Neural Networks Using Local Neighborhood Analysis
Global Convergence of SMO Algorithm for Support Vector Regression
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Conditional Random Fields for Multiview Sequential Data Modeling
A Memory-Efficient Federated Kernel Support Vector Machine for Edge Devices
DBA: Efficient Transformer With Dynamic Bilinear Low-Rank Attention
A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras
Neuron Perception Inspired EEG Emotion Recognition With Parallel Contrastive Learning
Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning
SyMIL: MinMax Latent SVM for Weakly Labeled Data
Deep Reinforcement Learning on Autonomous Driving Policy With Auxiliary Critic Network
SRViT: Self-Supervised Relation-Aware Vision Transformer for Hyperspectral Unmixing
Parallel Multistep Evaluation With Efficient Data Utilization for Safe Neural Critic Control and Its Application to Orbital Maneuver Systems
Hierarchical graph visualization using neural networks
Local Synchronization of Interconnected Boolean Networks With Stochastic Disturbances
Task-Related Saliency for Few-Shot Image Classification
Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition
CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition
EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks
A Convergent Hybrid Decomposition Algorithm Model for SVM Training
Federated Noisy Client Learning
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach
Heterogeneous Multitask Metric Learning Across Multiple Domains
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multiagent Trajectory Prediction
Beyond Photometric Consistency: Geometry-Based Occlusion-Aware Unsupervised Light Field Disparity Estimation
Nontechnical Losses Detection Through Coordinated BiWGAN and SVDD
Block-Quantized Support Vector Ordinal Regression
Filippov Hindmarsh-Rose Neuronal Model With Threshold Policy Control
Modeling and Analysis of Beta Oscillations in the Basal Ganglia
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
Multiview Representation Learning With One-to-Many Dynamic Relationships
A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems
Learning Spatial-Temporal Regularized Tensor Sparse RPCA for Background Subtraction
Exponential Stabilization of Fuzzy Memristive Neural Networks With Hybrid Unbounded Time-Varying Delays
Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case
Recursive Adaptive Sparse Exponential Functional Link Neural Network for Nonlinear AEC in Impulsive Noise Environment
Unsupervised Feature Selection via Adaptive Multimeasure Fusion
A Dynamics Theory of RMSProp-Based Implicit Regularization in Deep Low-Rank Matrix Factorization
Self-learning fuzzy controllers based on temporal backpropagation
The microcircuit associative memory: a biologically motivated memory architecture
Global Stability Criterion for Delayed Complex-Valued Recurrent Neural Networks
Deep Least Squares Fisher Discriminant Analysis
Distributed Adaptive Containment Control for a Class of Nonlinear Multiagent Systems With Input Quantization
A Generic Improvement to Deep Residual Networks Based on Gradient Flow
Safe Screening Rules for Accelerating Twin Support Vector Machine Classification
Deep FisherNet for Image Classification
A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace
Prototype-Based Interpretation of the Functionality of Neurons in Winner-Take-All Neural Networks
Neuro-sliding mode control with its applications to seesaw systems
Hierarchical Sliding-Mode Surface-Based Adaptive Actor-Critic Optimal Control for Switched Nonlinear Systems With Unknown Perturbation
Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach
On the computational power of Elman-style recurrent networks
An Optimal Transport Analysis on Generalization in Deep Learning
The "weight smoothing" regularization of MLP for Jacobian stabilization
Multimodal Sparse Transformer Network for Audio-Visual Speech Recognition
A Decoder-Free Variational Deep Embedding for Unsupervised Clustering
Uncertainty and Information: Foundations of Generalized Information Theory (Klir, G.J.; 2006)
A CMOS image sensor with programmable pixel-level analog processing
Hopfield Neural Network Flow: A Geometric Viewpoint
Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World
NDNet: Spacewise Multiscale Representation Learning via Neighbor Decoupling for Real-Time Driving Scene Parsing
Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting
DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning
A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control
Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment
Selecting concise training sets from clean data
BAM Learning of Nonlinearly Separable Tasks by Using an Asymmetrical Output Function and Reinforcement Learning
Distributed Nesterov Gradient and Heavy-Ball Double Accelerated Asynchronous Optimization
An Exponential-Type Anti-Noise Varying-Gain Network for Solving Disturbed Time-Varying Inversion Systems
Memory neuron networks for identification and control of dynamical systems
Neural fuzzy logic programming
Context-Aware Poly(A) Signal Prediction Model via Deep Spatial-Temporal Neural Networks
Financial volatility trading using recurrent neural networks
Simulating Dynamic Plastic Continuous Neural Networks by Finite Elements
Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching
Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming
PADiff: Reconstruction From Patch to Pixel With Normality-Guided Diffusion Model for Unsupervised Anomaly Localization
Exponential Synchronization of Networked Chaotic Delayed Neural Network by a Hybrid Event Trigger Scheme
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models
Learning From a Complementary-Label Source Domain: Theory and Algorithms
Bayesian Robust Tensor Factorization for Incomplete Multiway Data