yusuke1997/dblp-id-title huggingface dataset:
Motif-Based Contrastive Learning for Community Detection
Feature selection in MLPs and SVMs based on maximum output information
A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control
Collision identification between convex polyhedra using neural networks
Omnivariate decision trees
Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural Network
Progressive Learning Machine: A New Approach for General Hybrid System Approximation
Extraction of rules from artificial neural networks for nonlinear regression
Control of nonlinear dynamical systems using neural networks. II. Observability, identification, and control
Learning Discriminative Stein Kernel for SPD Matrices and Its Applications
Neuron-adaptive higher order neural-network models for automated financial data modeling
Adaptive Integral Sliding Mode Control Using Fully Connected Recurrent Neural Network for Position and Attitude Control of Quadrotor
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis
Comments on "A training rule which guarantees finite-region stability for a class of closed-loop neural-network control systems" [with reply]
Recurrent neural network as a linear attractor for pattern association
Online Optimization With Costly and Noisy Measurements Using Random Fourier Expansions
Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis
A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach
Stabilization and Synchronization of Neural Networks via Impulsive Adaptive Control
SFAN: Selective Filter and Alignment Network for Cross-Modal Retrieval
Supervised Learning in a Multilayer, Nonlinear Chemical Neural Network
Planning with a functional neural network architecture
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP
Quantized Sampled-Data Control for Synchronization of Inertial Neural Networks With Heterogeneous Time-Varying Delays
Grouped Vector Autoregression Reservoir Computing Based on Randomly Distributed Embedding for Multistep-Ahead Prediction
Asymmetric subsethood-product fuzzy neural inference system (ASuPFuNIS)
Solving linear programming problems with neural networks: a comparative study
Synergistic Integration Between Machine Learning and Agent-Based Modeling: A Multidisciplinary Review
Against the convergence of the minor component analysis neurons
mFILS: Tri-Selection via Convex and Nonconvex Regularizations
Iterative Learning Model Predictive Control Based on Iterative Data-Driven Modeling
A study on reduced support vector machines
Optimal training of thresholded linear correlation classifiers
An Improved N-Step Value Gradient Learning Adaptive Dynamic Programming Algorithm for Online Learning
Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models
Effective Visual Domain Adaptation via Generative Adversarial Distribution Matching
Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification
Neural Network Controller Design for a Class of Nonlinear Delayed Systems With Time-Varying Full-State Constraints
Memristive Imitation of Synaptic Transmission and Plasticity
Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis
Generative Upper-Level Policy Imitation Learning With Pareto-Improvement for Energy-Efficient Advanced Machining Systems
Direct adaptive controller for nonaffine nonlinear systems using self-structuring neural networks
Do Highly Over-Parameterized Neural Networks Generalize Since Bad Solutions are Rare?
Spherical Formation Tracking Control of Nonlinear Second-Order Agents With Adaptive Neural Flow Estimate
Observer-Based Adaptive Optimized Control for Stochastic Nonlinear Systems With Input and State Constraints
Knowledge-GPT Guided Generalizable Reinforcement Learning for Intelligent Emergency Generator Tripping in Power System
Dynamic Parallel Pyramid Networks for Scene Recognition
Event-Triggered Adaptive Fuzzy Neural Network Output Feedback Control for Constrained Stochastic Nonlinear Systems
Event-Based Robust Optimal Consensus Control for Nonlinear Multiagent System With Local Adaptive Dynamic Programming
Global exponential stability of recurrent neural networks for solving optimization and related problems
Multistability and Robustness of Competitive Neural Networks With Time-Varying Delays
A Granular Self-Organizing Map for Clustering and Gene Selection in Microarray Data
Prototype-Based Multisource Domain Adaptation
Hopf Bifurcation of an (n+1) -Neuron Bidirectional Associative Memory Neural Network Model With Delays
Data-Driven Performance-Prescribed Reinforcement Learning Control of an Unmanned Surface Vehicle
Improving the Classification Performance of Dendrite Morphological Neurons
Process modeling with the regression network
Analog integrated circuits for the Lotka-Volterra competitive neural networks
Neural Network Learning Without Backpropagation
Real-Time Leak Location of Long-Distance Pipeline Using Adaptive Dynamic Programming
Cluster Consensus in Discrete-Time Networks of Multiagents With Inter-Cluster Nonidentical Inputs
Bias learning, knowledge sharing
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios
Exponential H ∞ Synchronization and State Estimation for Chaotic Systems Via a Unified Model
Mixtures-of-experts of autoregressive time series: asymptotic normality and model specification
Accelerated Partially Shared Dictionary Learning With Differentiable Scale-Invariant Sparsity for Multi-View Clustering
Data classification with radial basis function networks based on a novel kernel density estimation algorithm
Representations of Continuous Attractors of Recurrent Neural Networks
Optimal decision boundaries for M-QAM signal formats using neural classifiers
Reduction of required precision bits for back-propagation applied to pattern recognition
Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)
Heterogeneous Face Interpretable Disentangled Representation for Joint Face Recognition and Synthesis
Extensions to Online Feature Selection Using Bagging and Boosting
Multilabel Feature Selection: A Local Causal Structure Learning Approach
Synchronization of Chaotic Lur'e Systems With Time Delays Using Sampled-Data Control
Discriminative learning quadratic discriminant function for handwriting recognition
Objective Video Quality Assessment Combining Transfer Learning With CNN
Adversarial Autoencoder Network for Hyperspectral Unmixing
Robust independent component analysis by iterative maximization of the kurtosis contrast with algebraic optimal step size
CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection
Global Bandits
Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network With Spatial-Spectral Manifold Learning
Bayesian multioutput feedforward neural networks comparison: a conjugate prior approach
Robust backpropagation training algorithm for multilayered neural tracking controller
Cognitive Action Laws: The Case of Visual Features
Costate-Supplement ADP for Model-Free Optimal Control of Discrete-Time Nonlinear Systems
Relation-Aware Heterogeneous Graph Network for Learning Intermodal Semantics in Textbook Question Answering
Weakly Supervised Contrastive Learning for Unsupervised Vehicle Reidentification
Feature-Based Ordering Algorithm for Data Presentation of Fuzzy ARTMAP Ensembles
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
VLSI neuroprocessors for video motion detection
Enhancing SSVEP-Based BCI Performance via Consensus Information Transfer Among Subjects
Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems
Adaptive unsupervised extraction of one component of a linear mixture with a single neuron
Location Property of Convolutional Neural Networks for Image Classification
Parameter-Efficient Person Re-Identification in the 3D Space
Continuous-valued probabilistic behavior in a VLSI generative model
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Lite It Fly: An All-Deformable-Butterfly Network
Evolutionary Shallowing Deep Neural Networks at Block Levels
Hopfield network for stereo vision correspondence
Diversity-Learning Block: Conquer Feature Homogenization of Multibranch
Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme
Bio-Inspired Dynamic Collective Choice in Large-Population Systems: A Robust Mean-Field Game Perspective
MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning
Stability and Convergence Analysis for a Class of Neural Networks
Comments on "The effects of quantization on multilayer neural networks" [and reply]
Learning Adversarial Transformer for Symbolic Music Generation
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables
Neural Network Adaptive Iterative Learning Control for Strict-Feedback Unknown Delay Systems Against Input Saturation
Asymptotically Stable Adaptive-Optimal Control Algorithm With Saturating Actuators and Relaxed Persistence of Excitation
Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering
Output feedback control of a quadrotor UAV using neural networks
Impulsive Consensus of Nonlinear Multi-Agent Systems via Edge Event-Triggered Control
SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines
Collaborative Machine Learning: Schemes, Robustness, and Privacy
Delay-Dependent Stability for Recurrent Neural Networks With Time-Varying Delays
Lifelong Learning With Cycle Memory Networks
Nonlinear spatial-temporal prediction based on optimal fusion
Barrier Lyapunov Function-Based Safe Reinforcement Learning for Autonomous Vehicles With Optimized Backstepping
Adaptive Learning Control Algorithms for Infinite-Duration Tracking
Effects of noise in training patterns on the memory capacity of the fully connected binary Hopfield neural network: mean-field theory and simulations
Diversify and Conquer: Open-Set Disagreement for Robust Semi-Supervised Learning With Outliers
Distribution Matching for Machine Teaching
Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification
The convergence of Hamming memory networks
Recurrent Neural Network Model: A New Strategy to Solve Fuzzy Matrix Games
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification
Kernel Path for Semisupervised Support Vector Machine
Unification of neural and wavelet networks and fuzzy systems
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
Novel L 1 Neural Network Adaptive Control Architecture With Guaranteed Transient Performance
Frames Learned by Prime Convolution Layers in a Deep Learning Framework
Adding Before Pruning: Sparse Filter Fusion for Deep Convolutional Neural Networks via Auxiliary Attention
Temporal Coding in Spiking Neural Networks With Alpha Synaptic Function: Learning With Backpropagation
Stochastic Graphlet Embedding
Attribute Augmented Network Embedding Based on Generative Adversarial Nets
Zoom Text Detector
An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis
Last-Iterate Convergence to Approximate Nash Equilibria in Multiplayer Imperfect Information Games
Delayed Standard Neural Network Models for Control Systems
LRAF-Net: Long-Range Attention Fusion Network for Visible-Infrared Object Detection
Nuclear Norm-Based 2-DPCA for Extracting Features From Images
Event-Triggered Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Time-Delay Systems With Unknown Control Directions
Compact Goal Representation Learning via Information Bottleneck in Goal-Conditioned Reinforcement Learning
Learning convergence in the cerebellar model articulation controller
On the persistency of excitation in radial basis function network identification of nonlinear systems
Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model
A Background Knowledge Revising and Incorporating Dialogue Model
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications
Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems
Multiobjective Optimization for Model Selection in Kernel Methods in Regression
RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks
Adversarial Attack on Skeleton-Based Human Action Recognition
A Probabilistically Quantized Learning Control Framework for Networked Linear Systems
Multimodal Moore-Penrose Inverse-Based Recomputation Framework for Big Data Analysis
Discrete Deep Hashing With Ranking Optimization for Image Retrieval
Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization
Study on modeling of multispectral emissivity and optimization algorithm
Sparse Personalized Federated Learning
Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI
MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning
A Review of Convex Clustering From Multiple Perspectives: Models, Optimizations, Statistical Properties, Applications, and Connections
Informative Trajectory Planning Using Reinforcement Learning for Minimum-Time Exploration of Spatiotemporal Fields
Comments on "On a novel unsupervised competitive learning algorithm for scalar quantization"
Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework
Mathematical Perspectives on Neural Networks [Books in Brief]
Incomplete Multisource Transfer Learning
Sparse Coding From a Bayesian Perspective
Fast fixed-point neural blind-deconvolution algorithm
Effective Neural Network Ensemble Approach for Improving Generalization Performance
Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application
A self-organizing network for hyperellipsoidal clustering (HEC)
Anomaly Detection in Hyperspectral Images Using Adaptive Graph Frequency Location
Unsupervised Learning by Minimal Entropy Encoding
Compressing Transfer: Mutual Learning- Empowered Knowledge Distillation for Temporal Knowledge Graph Reasoning
Extracting M-of-N rules from trained neural networks
Low-Light Image Enhancement by Retinex-Based Algorithm Unrolling and Adjustment
Attention Inspiring Receptive-Fields Network for Learning Invariant Representations
On chaotic simulated annealing
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification
Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning
Copula Density Neural Estimation
State Estimation for Discrete-Time Dynamical Networks With Time-Varying Delays and Stochastic Disturbances Under the Round-Robin Protocol
An improved conjugate gradient scheme to the solution of least squares SVM
A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks
Temporal BYY encoding, Markovian state spaces, and space dimension determination
Image Processing: Principles and Applications [book review]
GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection
Self-Supervised Monocular Depth Estimation With Self-Perceptual Anomaly Handling
A Static-Dynamic Composition Framework for Efficient Action Recognition
Online Passive-Aggressive Multilabel Classification Algorithms
Exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds
BaGFN: Broad Attentive Graph Fusion Network for High-Order Feature Interactions
Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions
Global Asymptotic Stability for a Class of Generalized Neural Networks With Interval Time-Varying Delays
An analog silicon retina with multichip configuration
Progressive Enhancement of Label Distributions for Partial Multilabel Learning
Processing directed acyclic graphs with recursive neural networks
Practical Probabilistic Model-Based Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling
Adaptive Neural Control of Constrained MIMO Nonlinear Systems With Asymmetric Input Saturation and Dead Zone
Glove-Talk: a neural network interface between a data-glove and a speech synthesizer
Application of the recurrent multilayer perceptron in modeling complex process dynamics
Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
Learning From Noisy Labels With Deep Neural Networks: A Survey
A new architecture for digital stochastic pulse-mode neurons based on the voting circuit
Neural-Network-Based Adaptive Backstepping Control With Application to Spacecraft Attitude Regulation
Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data
Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach
RCMAC Hybrid Control for MIMO Uncertain Nonlinear Systems Using Sliding-Mode Technology
An Approach to Stable Gradient-Descent Adaptation of Higher Order Neural Units
Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation
Partial Differential Equations Meet Deep Neural Networks: A Survey
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research
Learning-Based Distributed Resilient Fault-Tolerant Control Method for Heterogeneous MASs Under Unknown Leader Dynamic
Motion Planning and Adaptive Neural Tracking Control of an Uncertain Two-Link Rigid-Flexible Manipulator With Vibration Amplitude Constraint
Towards the Optimal Design of Numerical Experiments
Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition
Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis
Multi-Label Sentiment Analysis on 100 Languages With Dynamic Weighting for Label Imbalance
Learning from labeled and unlabeled data using a minimal number of queries
Multiview Subspace Clustering With Multilevel Representations and Adversarial Regularization
Leveraging Predictions of Task-Related Latents for Interactive Visual Navigation
POPART: partial optical implementation of adaptive resonance theory 2
A Biologically Inspired Appearance Model for Robust Visual Tracking
Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision
Object Counting via Group and Graph Attention Network
Collective Neural Dynamics for Sparse Motion Planning of Redundant Manipulators Without Hessian Matrix Inversion
Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking
Self-association and Hebbian learning in linear neural networks
Unsupervised feature evaluation: a neuro-fuzzy approach
A Continuous Time Dynamical Turing Machine
Structure-Aware DropEdge Toward Deep Graph Convolutional Networks
Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems
Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders
NiSNN-A: Noniterative Spiking Neural Network With Attention With Application to Motor Imagery EEG Classification
Improving Generalization and Personalization in Model-Heterogeneous Federated Learning
Adaptive Neural Network Tracking Control of MIMO Nonlinear Systems With Unknown Dead Zones and Control Directions
Efficient Algorithms for Exact Inference in Sequence Labeling SVMs
An analog VLSI recurrent neural network learning a continuous-time trajectory
Research on Obstacle Detection and Avoidance of Autonomous Underwater Vehicle Based on Forward-Looking Sonar
Inverse-Free DZNN Models for Solving Time-Dependent Linear System via High-Precision Linear Six-Step Method
Learning Discrete-Time Markov Chains Under Concept Drift
Physiologically motivated image fusion for object detection using a pulse coupled neural network
Distributed Algorithms Involving Fixed Step Size for Mixed Equilibrium Problems With Multiple Set Constraints
Random noise effects in pulse-mode digital multilayer neural networks
Stress-Testing Memcomputing on Hard Combinatorial Optimization Problems
QSAN: A Near-Term Achievable Quantum Self-Attention Network
RAMOBoost: ranked minority oversampling in boosting
Hierarchically Clustered Adaptive Quantization CMAC and Its Learning Convergence
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving
Understanding How Orthogonality of Parameters Improves Quantization of Neural Networks
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications
Simplified Interval Type-2 Fuzzy Neural Networks
Continuously Differentiable Sample-Spacing Entropy Estimation
Real-Time Reconfigurable Subthreshold CMOS Perceptron
Spurious Local Minima are Common for Deep Neural Networks With Piecewise Linear Activations
Convergence of learning algorithms with constant learning rates
Two-Timescale Multilayer Recurrent Neural Networks for Nonlinear Programming
A Parallel Framework of Adaptive Dynamic Programming Algorithm With Off-Policy Learning
A study of cloud classification with neural networks using spectral and textural features
Attentive Learning Facilitates Generalization of Neural Networks
Constructive algorithms for structure learning in feedforward neural networks for regression problems
Probe Machine
Fast neural networks without multipliers
Transductive Zero-Shot Learning With Adaptive Structural Embedding
Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection
Facilitating Multiagent Coordination Relying on Graph Information Representation
Robust and Rotation-Equivariant Contrastive Learning
Bankruptcy prediction for credit risk using neural networks: A survey and new results
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling
Regularization Path for ν-Support Vector Classification
Kernel orthonormalization in radial basis function neural networks
Adaptive Neural Dynamic Surface Control for Nonstrict-Feedback Systems With Output Dead Zone
Using function approximation to analyze the sensitivity of MLP with antisymmetric squashing activation function
Modeling the manifolds of images of handwritten digits
Storing Sequences in Binary Tournament-Based Neural Networks
GSSTU: Generative Spatial Self-Attention Transformer Unit for Enhanced Video Prediction
Broad Multitask Learning System With Group Sparse Regularization
Adaptive Structure Strategy for Designing Nonparametric Models Based on Differential Neural Networks Using Functional Projection
Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values
Errata to "On the convergence of the decomposition method for support vector machines"
Address the Unseen Relationships: Attribute Correlations in Text Attribute Person Search
Reinforcement Learning for Mobile Robotics Exploration: A Survey
A Novel Twin Support-Vector Machine With Pinball Loss
Multi-View and Multi-Order Structured Graph Learning
Deterministic design for neural network learning: an approach based on discrepancy
Three-dimensional neural net for learning visuomotor coordination of a robot arm
Synchronization of Continuous Dynamical Networks With Discrete-Time Communications