yusuke1997/dblp-id-title huggingface dataset:
GCRNN: Group-Constrained Convolutional Recurrent Neural Network
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response
Fixed-Time Leader-Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control
Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM
FX-DARTS: Designing Topology-Unconstrained Architectures With Differentiable Architecture Search and Entropy-BasedSuper-Network Shrinking
Synchronization Error Estimation and Controller Design for Delayed Lur'e Systems With Parameter Mismatches
MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion
Informative Data Selection With Uncertainty for Multimodal Object Detection
Finite-Time Robust Intelligent Control of Strict-Feedback Nonlinear Systems With Flight Dynamics Application
Gray-scale morphological associative memories
Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition
Neural network controller using autotuning method for nonlinear functions
Adaptive-Fourier-Neural-Network-Based Control for a Class of Uncertain Nonlinear Systems
Draw What You Hear: High-Fidelity Image Generation and Manipulation via SoundAdapter
Global µ-Stability of Delayed Neural Networks With Unbounded Time-Varying Delays
A High-Performance Pixel-Level Fully Pipelined Hardware Accelerator for Neural Networks
Active Learning of Pareto Fronts
Neural-Network-Based Event-Triggered Sliding Mode Control for Networked Switched Linear Systems With the Unknown Nonlinear Disturbance
Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes
Comments on "The Extreme Learning Machine"
Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time
Manifold Peaks Nonnegative Matrix Factorization
Efficient Sparse Representation for Learning With High-Dimensional Data
Learning Regularized LDA by Clustering
Detecting and Tracking of Multiple Mice Using Part Proposal Networks
Parallelized Tensor Train Learning of Polynomial Classifiers
An Efficient and Robust Feature Selection Approach Based on Zentropy Measure and Neighborhood-Aware Model
A Robust Regularization Path Algorithm for ν-Support Vector Classification
A One-Layer Recurrent Neural Network for Constrained Complex-Variable Convex Optimization
Nonlinear System Identification by Gustafson-Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-Resolution
Multiview Spectral Clustering Based on Consensus Neighbor Strategy
Neural Network Approach to Background Modeling for Video Object Segmentation
Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction
Correction to "A Modified HME Architecture for Text-Dependent Speaker Identification"
Finite-Time Adaptive Dynamic Programming for Affine-Form Nonlinear Systems
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network
A charge-based on-chip adaptation Kohonen neural network
Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling
Composition-Aware Image Steganography Through Adversarial Self-Generated Supervision
Understanding via Exploration: Discovery of Interpretable Features With Deep Reinforcement Learning
Hybrid Gromov-Wasserstein Embedding for Capsule Learning
Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network
Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph
Performance Optimization and Fault-Tolerance of Highly Dynamic Systems Via Q-Learning With an Incrementally Attached Controller Gain System
Knapsack packing networks
Active Learning With Multiple Kernels
Collision-Avoiding Flocking With Multiple Fixed-Wing UAVs in Obstacle-Cluttered Environments: A Task-Specific Curriculum- Based MADRL Approach
Universal Approximation Theorem and Error Bounds for Quantum Neural Networks and Quantum Reservoirs
A deployed engineering design retrieval system using neural networks
Event-Triggered Adaptive Antidisturbance Switching Control for Switched Systems With Dynamic Neural Network Disturbance Modeling
Multilabel Prediction via Cross-View Search
Comments on "A generalized LMI-based approach to the global asymptotic stability of delayed cellular neural networks"
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing
Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation
A Multistage Information Complementary Fusion Network Based on Flexible-Mixup for HSI-X Image Classification
Scalable-MADDPG-Based Cooperative Target Invasion for a Multi-USV System
Intermittent Control to Stabilization of Stochastic Highly Non-Linear Coupled Systems With Multiple Time Delays
Unpaired Multiview Clustering via Reliable View Guidance
Model Selection for Gaussian Kernel PCA Denoising
Stability of Sliding Mode ILC Design for a Class of Nonlinear Systems With Unknown Control Input Delay
Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks
Boundary-Based Active Domain Adaptation for Semantic Segmentation Under Adverse Conditions
Graphical Nash Equilibria and Replicator Dynamics on Complex Networks
Asynchronous Parallel Large-Scale Gaussian Process Regression
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
Dimensionality Reduction Method for the Output Regulation of Boolean Control Networks
Intelligent Power System Stability Assessment and Dominant Instability Mode Identification Using Integrated Active Deep Learning
Finite-Time Tracking Control for Nonlinear Systems via Adaptive Neural Output Feedback and Command Filtered Backstepping
ℓ 1 -Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions
Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction
Determination of the Number of Principal Directions in a Biologically Plausible PCA Model
Task-Wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images
Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain-Machine Interfaces
Collision detection in complex dynamic scenes using an LGMD-based visual neural network with feature enhancement
Fast Clustering via Maximizing Adaptively Within-Class Similarity
Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes
DMGAN: Adversarial Learning-Based Decision Making for Human-Level Plant-Wide Operation of Process Industries Under Uncertainties
Integrating Space, Time, and Orientation in Spiking Neural Networks: A Case Study on Multimodal Brain Data Modeling
Gradient descent learning algorithm overview: a general dynamical systems perspective
Hybrid Classifier Ensemble for Imbalanced Data
Domain Adaptation Networks With Parameter-Free Adaptively Rectified Linear Units for Fault Diagnosis Under Variable Operating Conditions
Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model
Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification
Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis
DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target
CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs
A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations
Recurrent Neural Collective Classification
Worst case analysis of weight inaccuracy effects in multilayer perceptrons
A Spatial-Temporal Predictive Transformer Network for Level-3 Autonomous Vehicle Decision-Making
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization
Face recognition using the nearest feature line method
Model-based synthesis of plucked string instruments by using a class of scattering recurrent networks
Semisupervised Discriminant Multimanifold Analysis for Action Recognition
Learning Associative Memories by Error Backpropagation
Hyperparameter Recommendation Integrated With Convolutional Neural Network
PWSNAS: Powering Weight Sharing NAS With General Search Space Shrinking Framework
Exploring Dynamic Transformer for Efficient Object Tracking
Physics-Constraint Variational Neural Network for Wear State Assessment of External Gear Pump
A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
Global Prescribed Performance Control for Strict Feedback Systems Pursuing Uncertain Target
On-Device Deep Learning: Survey on Techniques Improving Energy Efficiency of DNNs
Spectrum Analysis for Fully Connected Neural Networks
Multilabel Feature Selection With Constrained Latent Structure Shared Term
Event-Triggered Distributed Approximate Optimal State and Output Control of Affine Nonlinear Interconnected Systems
Lightweight Pyramid Networks for Image Deraining
Bilinear Probabilistic Principal Component Analysis
CellMix: A General Instance Relationship-Based Method for Data Augmentation Toward Pathology Image Classification
Effects of State-Dependent Impulses on Robust Exponential Stability of Quaternion-Valued Neural Networks Under Parametric Uncertainty
Adaptive Intermediate Class-Wise Distribution Alignment: A Universal Domain Adaptation and Generalization Method for Machine Fault Diagnosis
Ischemia detection with a self-organizing map supplemented by supervised learning
Dual-Correlation-Guided Anchor Learning for Scalable Incomplete Multi-View Clustering
Inhibitory grids and the assignment problem
Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation
A Bioinspired Deep Learning Framework for Saliency-Based Image Quality Assessment
Learning in the Model Space for Cognitive Fault Diagnosis
Learning algorithms for feedforward networks based on finite samples
Robustness Analysis on Dual Neural Network-based k WTA With Input Noise
Analysis of Discrete-Time Switched Linear Systems Under Logical Dynamic Switching
Reference-Based OCT Angiogram Super-Resolution With Learnable Texture Generation
Cost functions and model combination for VaR-based asset allocation using neural networks
O(2)-Valued Hopfield Neural Networks
Robust/Optimal Temperature Profile Control of a High-Speed Aerospace Vehicle Using Neural Networks
Clamping in Boltzmann machines
Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks
Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization
A Note on the Unification of Adaptive Online Learning
Attributed Graph Force Learning
Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation
Cluster Synchronization of Coupled Neural Networks With Lévy Noise via Event-Triggered Pinning Control
Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure
Implementation of Pipelined FastICA on FPGA for Real-Time Blind Source Separation
K-winner networks
Adaptive Backstepping-Based Neural Tracking Control for MIMO Nonlinear Switched Systems Subject to Input Delays
Autonomous Data Collection Using a Self-Organizing Map
Generalizing CMAC architecture and training
A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit
Medical-Knowledge-Based Graph Neural Network for Medication Combination Prediction
Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning
Decentralized Adaptive Command Filtered Neural Tracking Control of Large-Scale Nonlinear Systems: An Almost Fast Finite-Time Framework
Novel Range-Free Localization Based on Multidimensional Support Vector Regression Trained in the Primal Space
A Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learning
Guest Editorial: Special Issue on Stream Learning
An analytical comparison of a neural network and a model-based adaptive controller
Compact low-power calibration mini-DACs for neural arrays with programmable weights
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
Kernel Wiener Filter and Its Application to Pattern Recognition
Neural Network Algorithm With Reinforcement Learning for Parameters Extraction of Photovoltaic Models
Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links
A Zeroing Neural Network Approach for Calculating Time-Varying G-Outer Inverse of Arbitrary Matrix
GeCo: Classification Restricted Boltzmann Machine Hardware for On-Chip Semisupervised Learning and Bayesian Inference
On the problem of local minima in recurrent neural networks
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets
Synchronization for Quantized Semi-Markov Switching Neural Networks in a Finite Time
Cue-guided search: a computational model of selective attention
Clustering Analysis via Deep Generative Models With Mixture Models
Consensus Control for Heterogeneous Multivehicle Systems: An Iterative Learning Approach
L p approximation of Sigma-Pi neural networks
Soft learning vector quantization and clustering algorithms based on ordered weighted aggregation operators
Generalized clustering networks and Kohonen's self-organizing scheme
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service
Multiagent Containment Control With Nonconvex States Constraints, Nonuniform Time Delays, and Switching Directed Networks
Event-Triggered Output Feedback Synchronization of Master-Slave Neural Networks Under Deception Attacks
Distributed Extended State Estimation for Complex Networks With Nonlinear Uncertainty
Supervised texture classification using a probabilistic neural network and constraint satisfaction model
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing
Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination
A generalized learning paradigm exploiting the structure of feedforward neural networks
Silicon synaptic adaptation mechanisms for homeostasis and contrast gain control
Stability and Almost Disturbance Decoupling Analysis of Nonlinear System Subject to Feedback Linearization and Feedforward Neural Network Controller
Semisupervised Least Squares Support Vector Machine
Real-time prediction of unsteady aerodynamics: Application for aircraft control and manoeuvrability enhancement
Probabilistic Topic Modeling With Transformer Representations
A neural-network algorithm for a graph layout problem
Markovian RNN: An Adaptive Time Series Prediction Network With HMM-Based Switching for Nonstationary Environments
Self-organizing algorithms for generalized eigen-decomposition
Learning the Conformal Transformation Kernel for Image Recognition
Pinning Spatiotemporal Sampled-Data Synchronization of Coupled Reaction-Diffusion Neural Networks Under Deception Attacks
Ambiguity resolution analysis in incremental parsing of natural language
Neural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback
Dynamic Learning From Adaptive Neural Network Control of a Class of Nonaffine Nonlinear Systems
Deep Multimodal Complementarity Learning
Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks
Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation
X-tron: an incremental connectionist model for category perception
Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons
A New Timing Error Cost Function for Binary Time Series Prediction
Comments on "Learning convergence in the cerebellar model articulation controller"
Learning Fast and Slow: Propedeutica for Real-Time Malware Detection
Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score
Learning of Spatio-Temporal Codes in a Coupled Oscillator System
Input-to-State Representation in Linear Reservoirs Dynamics
Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems
Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks
Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network
Sparse Low-Rank Multi-View Subspace Clustering With Consensus Anchors and Unified Bipartite Graph
Distillation-Guided Residual Learning for Binary Convolutional Neural Networks
Traffic Signal Control With Adaptive Online-Learning Scheme Using Multiple-Model Neural Networks
Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance
An adaptively trained neural network
Self-Tuning Neural Predictive Control Scheme for Ultrabattery to Emulate a Virtual Synchronous Machine in Autonomous Power Systems
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals
Learning Automata-Based Multiagent Reinforcement Learning for Optimization of Cooperative Tasks
Beyond the binary Boltzmann machine
Novelty Detection Using Level Set Methods
Learning Bimodal Structure in Audio-Visual Data
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning
Comments on "Can backpropagation error surface not have local minima?"
A parameter optimization method for radial basis function type models
Synchronization of Generally Uncertain Markovian Inertial Neural Networks With Random Connection Weight Strengths and Image Encryption Application
Attack-Resilient Distributed Nash Equilibrium Seeking of Uncertain Multiagent Systems Over Unreliable Communication Networks
Dynamic and Static Representation Learning Network for Recommendation
Multistage Spatial-Spectral Fusion Network for Spectral Super-Resolution
HFTCRNet: Hierarchical Fusion Transformer for Interbank Credit Rating and Risk Assessment
Residual Q-Networks for Value Function Factorizing in Multiagent Reinforcement Learning
An Efficient Topological Distance-Based Tree Kernel
Meta Learning With Graph Attention Networks for Low-Data Drug Discovery
Fuzzy-based adaptive bandwidth control for loss guarantees
Learning in linear systolic neural network engines: analysis and implementation
Video Time Encoding Machines
Dynamic Uncertain Causality Graph for Knowledge Representation and Probabilistic Reasoning: Directed Cyclic Graph and Joint Probability Distribution
DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data
Learning without local minima in radial basis function networks
Concept Drift Adaptation by Exploiting Historical Knowledge
GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting
Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients
Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning
Off-Policy Prediction Learning: An Empirical Study of Online Algorithms
Nonlinear Causal Discovery for High-Dimensional Deterministic Data
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification
An Improved Prioritized DDPG Based on Fractional-Order Learning Scheme
Multivariate Cryptography Based on Clipped Hopfield Neural Network
Learning With Noisy Labels via Self-Reweighting From Class Centroids
Tensor-Representation-Based Multiview Attributed Graph Clustering With Smooth Structure
Artificial neural networks for solving ordinary and partial differential equations
Graph Motif Entropy for Understanding Time-Evolving Networks
Motif Graph Neural Network
STKD: Distilling Knowledge From Synchronous Teaching for Efficient Model Compression
Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion
MixIR: Mixing Input and Representations for Contrastive Learning
Associative Learning in Hierarchical Self-Organizing Learning Arrays
Composite Neural Learning-Based Nonsingular Terminal Sliding Mode Control of MEMS Gyroscopes
Structurally adaptive modular networks for nonstationary environments
Convolutional Neural Networks With Dynamic Regularization
Language-Guided 3-D Action Feature Learning Without Ground-Truth Sample Class Label
A Survey of Deep Learning Techniques for Underwater Image Classification
Estimations of error bounds for neural-network function approximators
Improving model accuracy using optimal linear combinations of trained neural networks
Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement Learning
Cooperative Strategy for Optimal Management of Smart Grids by Wavelet RNNs and Cloud Computing
DAWN+: Wavelet-Based Image Deraining Meets Direction-Aware Attention and Mutual Representation
Adaptation of the relaxation method for learning in bidirectional associative memory
Finite-Horizon Control-Constrained Nonlinear Optimal Control Using Single Network Adaptive Critics
A Dynamic Weights-Based Wavelet Attention Neural Network for Defect Detection
Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding
A perceptron network for functional identification and control of nonlinear systems
Data-Driven Formation Control for Unknown MIMO Nonlinear Discrete-Time Multi-Agent Systems With Sensor Fault
Characterization of aluminum hydroxide particles from the Bayer process using neural network and Bayesian classifiers
FairXAI - A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning
Multilevel Edge Features Guided Network for Image Denoising
Equilibrium characterization of dynamical neural networks and a systematic synthesis procedure for associative memories
Adaptive Evolutionary Artificial Neural Networks for Pattern Classification
Relaxed Block-Diagonal Dictionary Pair Learning With Locality Constraint for Image Recognition
Sequential Compact Code Learning for Unsupervised Image Hashing
Dual Parallel Policy Iteration With Coupled Policy Improvement
Global Tracking Control of Strict-Feedback Systems Using Neural Networks
A Hybrid of Generative and Discriminative Models Based on the Gaussian-Coupled Softmax Layer
Online Learning With Uncertain Feedback Graphs
A Compact Constraint Incremental Method for Random Weight Networks and Its Application
VLSI implementation of synaptic weighting and summing in pulse coded neural-type cells
Quaternion-Valued Echo State Networks
Behavior-constrained support vector machines for fMRI data analysis
Two-Stage Orthogonal Least Squares Methods for Neural Network Construction
A New Progressive Multisource Domain Adaptation Network With Weighted Decision Fusion
A Local Information Aggregation-Based Multiagent Reinforcement Learning for Robot Swarm Dynamic Task Allocation
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints
Adaptive Resilient Event-Triggered Control Design of Autonomous Vehicles With an Iterative Single Critic Learning Framework
Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems
LiNGAM-SF: Causal Structural Learning Method With Linear Non-Gaussian Acyclic Models for Streaming Features
Time-Varying Formation Tracking for UAV Swarm Systems With Switching Directed Topologies
Efficient Kernel Sparse Coding Via First-Order Smooth Optimization
Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm
A Granular Reflex Fuzzy Min-Max Neural Network for Classification
Laplacian Embedded Regression for Scalable Manifold Regularization
Unsupervised Segmentation With Dynamical Units