yusuke1997/dblp-id-title huggingface dataset:
A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models
Automatic generation of fuzzy inference systems via unsupervised learning
Extraction of rules from discrete-time recurrent neural networks
Modelling with constructive backpropagation
One trial learning of stimulus sequences in a connectionist network
Multiple training concept for back-propagation neural networks for use in associative memories
The Population Vector, an unbiased estimator for non-uniformly distributed neural maps
The grounding of higher order concepts in action and language: A cognitive robotics model
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
Bayesian estimation of multidimensional latent variables and its asymptotic accuracy
A comparative investigation on subspace dimension determination
Periodic-noise-tolerant neurodynamic approach for kWTA operation applied to opinions evolution
Adaptive multi-graph contrastive learning for bundle recommendation
New necessary and sufficient conditions for absolute stability of neural networks
Resource allocation using a constraint optimizing adaptive neural network
A subspace projection approach to feature extraction: The two-dimensional gabor transform for character recognition
Plastic mine detecting radar system using complex-valued self-organizing map that deals with multiple-frequency interferometric images
Finite-time synchronization of memristor neural networks via interval matrix method
HRel: Filter pruning based on High Relevance between activation maps and class labels
Kolmogorov's theorem and multilayer neural networks
A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception
STACoRe: Spatio-temporal and action-based contrastive representations for reinforcement learning in Atari
Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots
Implementing recurrent back-propagation on the connection machine
Exponential stability of Cohen-Grossberg neural networks
Theory of deep convolutional neural networks III: Approximating radial functions
Neural networks, optical resonators, and dynamic holograms
Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks
Event-triggered impulsive cluster synchronization of coupled reaction-diffusion neural networks and its application to image encryption
Spatial information transfer in hippocampal place cells depends on trial-to-trial variability, symmetry of place-field firing, and biophysical heterogeneities
Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks
Learning hierarchically-structured concepts
Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning
Discrimination networks for maximum selection
Parameter optimization in models of the olfactory neural system
A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip
Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control
A new bidirectional heteroassociative memory encompassing correlational, competitive and topological properties
Multi-task neural networks by learned contextual inputs
Design of trellis coded vector quantizers using Kohonen maps
Multilayer neural networks and Bayes decision theory
Probabilistic self-organizing maps for qualitative data
Neuromorphic VLSI realization of the hippocampal formation
Hippocampus-centered structural covariance network reorganization in Alzheimer's disease: An individualized graph-based biomarker validated by machine learning
Weak sub-network pruning for strong and efficient neural networks
Quantum perceptron over a field and neural network architecture selection in a quantum computer
Self-distillation improves self-supervised learning for DNA sequence inference
A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace
The eigenspace separation transform for neural-network classifiers
Advances in neural networks research: An introduction
Neural networks for automatic target recognition
ITS2Graph: Graph-based generative adversarial learning for imbalanced time series classification
The enhanced LBG algorithm
Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks
Time-frequency contrastive learning with context modeling for time series anomaly prediction
Cross-correlations between pairs of neurons in cerebellar cortex in vivo
LVQ combined with simulated annealing for optimal design of large-set reference models
Understanding and mitigating noise in trained deep neural networks
Error in proof of exponential convergence
On the localness modeling for the self-attention based end-to-end speech synthesis
Information-controlled graph convolutional network for multi-view semi-supervised classification
Multi-view graph representation with similarity diffusion for general zero-shot learning
A novel framework of prescribed time/fixed time/finite time stochastic synchronization control of neural networks and its application in image encryption
Iterative principles of recognition in probabilistic neural networks
Learning behavior and temporary minima of two-layer neural networks
Neural adaptive fault-tolerant finite-time control for nonstrict feedback systems: An event-triggered mechanism
A full-parallel implementation of Self-Organizing Maps on hardware
A neural network model for sequential tasks
A bioinspired angular velocity decoding neural network model for visually guided flights
Errors from grid approximation of IFS codes
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation
Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons
Dynamic On-line Clustering and State Extraction: An Approach to Symbolic Learning
AdaEn-Net: An ensemble of adaptive 2D-3D Fully Convolutional Networks for medical image segmentation
Generalization of shift invariant neural networks: Image processing of corneal endothelium
Multimedia authenticity protection with ICA watermarking and digital bacteria vaccination
Rethinking density ratio estimation based hyper-parameter optimization
Generalization analysis of deep CNNs under maximum correntropy criterion
A privacy preservation framework for feedforward-designed convolutional neural networks
BEVFix: Deep feature enhancement for robust 3D object detection
Unsupervised feature selection via adaptive autoencoder with redundancy control
Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems
A framework for parallel and distributed training of neural networks
A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition
Multimodal information bottleneck for deep reinforcement learning with multiple sensors
SOM of SOMs
Two-timescale recurrent neural networks for distributed minimax optimization
Unsupervised SAM-guided mixture-of-multimodal-experts fusion network for medical image diagnosis
Turbulence control in memristive neural network via adaptive magnetic flux based on DLS-ADMM technique
Integrate-and-fire coding and Hodgkin-Huxley circuits employing silicon diodes
A large hybrid electro-optic computer for neural network applications
Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm
Neural networks and principal component analysis: Learning from examples without local minima
UTDNet: A unified triplet decoder network for multimodal salient object detection
Aspect-based sentiment analysis based on multi-granularity graph convolutional network
Two novel cold-start multistage neural solvers for constrained nonlinear equations with extended time horizons
Dual-orthogonal radial basis function networks for nonlinear time series prediction
Model, analysis, and evaluation of the effects of analog VLSI arithmetic on linear subspace-based image recognition
Synchronization criteria for quaternion-valued coupled neural networks with impulses
Structural change and development in real and artificial neural networks
TreeSOM: Cluster analysis in the self-organizing map
Dynamics of periodic delayed neural networks
Hyperbolic Bernstein Neural Networks: Enhancing graph convolutions in non-Euclidean spaces
Sequential action-induced invariant representation for reinforcement learning
Data splitting for artificial neural networks using SOM-based stratified sampling
Back-propagation algorithm which varies the number of hidden units
An efficient sampling algorithm with adaptations for Bayesian variable selection
SNR: Symbolic network-based rectifiable learning framework for symbolic regression
An iterative ϵ -optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state
Learning generative models of natural images
Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks
UMS2-ODNet: Unified-scale domain adaptation mechanism driven object detection network with multi-scale attention
Robust deep learning from weakly dependent data
Rule-based growth of FFT butterfly networks
Spectral adversarial attack on graph via node injection
A domain-agnostic approach for characterization of lifelong learning systems
On the derivatives of the sigmoid
Online unsupervised formation of cell assemblies for the encoding of multiple cognitive maps
CPJN: News recommendation with a content and popularity joint network
Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data
Associative memory with nonmonotone dynamics
Incremental sparse Bayesian ordinal regression
A probabilistic model of gaze imitation and shared attention
Machine learning in sedimentation modelling
The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis
A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis
Infant joint attention, neural networks and social cognition
On learning through competition
Extreme learning machine for ranking: Generalization analysis and applications
A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem
Weakly supervised label learning flows
Linking cellular-level phenomena to brain architecture: the case of spiking cerebellar controllers
Exponential stability of delayed and impulsive cellular neural networks with partially Lipschitz continuous activation functions
Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models
Massively parallel neural encoding and decoding of visual stimuli
Global exponential stability of complex-valued neural networks with both time-varying delays and impulsive effects
Associative memory network composed of neurons with hysteretic property
Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience
Ensemble learning via negative correlation
Origins of a repetitive and co-contractive biphasic pattern of muscle activation in Parkinson's disease
RefSAM: Efficiently adapting segmenting anything model for referring video object segmentation
Generalized locality preserving Maxi-Min Margin Machine
How good are support vector machines?
A VLSI architecture for feedforward networks with integral back-propagation
Capturing significant events with neural networks
Path reliability-based graph attention networks
Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks)
Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference
Learning in Stochastic Bit Stream Neural Networks
SecureNet: Proactive intellectual property protection and model security defense for DNNs based on backdoor learning
Corrigendum to "Implementing feature binding through dendritic networks of a single neuron" [Neural Networks(2025) 107555]
MAN-GNN: An interpretable biomarker architecture for neurodevelopmental disorders
Regularising neural networks using flexible multivariate activation function
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss
Experiments for isolated-word recognition with single-and multi-layer perceptrons
Backpropagation Neural Tree
Multisensory integration in chaotic networks
Multi-sensor optimal H ∞ fusion filters for delayed nonlinear intelligent systems based on a unified model
Comprehensive evaluation of pipelines for classification of psychiatric disorders using multi-site resting-state fMRI datasets
Generalized norm for existence, uniqueness and stability of Hopfield neural networks with discrete and distributed delays
Approximation capabilities of multilayer feedforward networks
Hierarchical feature-guided prototypical network for few-shot knowledge graph completion
Spatial oblivion channel attention targeting intra-class diversity feature learning
Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization
Distributed adaptive robust containment control for reaction-diffusion neural networks with external disturbances under directed graphs
Learning sequence attractors in recurrent networks with hidden neurons
Liquid state machines Gaussian process
Study of fractional order epidemic compartmental model by using artificial deep neural networks
Towards generalizable Graph Contrastive Learning: An information theory perspective
Reconstruction of chaotic dynamics by on-line EM algorithm
Emotional EEG classification using connectivity features and convolutional neural networks
Optimizing connectivity through network gradients for Restricted Boltzmann Machines
Arithmetic abilities of SNP systems with astrocytes producing calcium
TD models of reward predictive responses in dopamine neurons
Characterization of electroencephalography signals for estimating saliency features in videos
VDCRL: vulnerability detection with supervised contrastive code representation learning
Observer-based state estimation for discrete-time semi-Markovian jump neural networks with round-robin protocol against cyber attacks
Contrastive fine-grained domain adaptation network for EEG-based vigilance estimation
Salience-aware adaptive resonance theory for large-scale sparse data clustering
Enabling scale and rotation invariance in convolutional neural networks with retina like transformation
A massively parallel resistive network for "weak rod": A double-layer architecture with nearest-neighbor connections
CODAM: A neural network model of consciousness
Competitive neural architecture for hardware solution to the assignment problem
Unsupervised robust discriminative subspace representation based on discriminative approximate isometric embedding
Adaptive importance sampling for value function approximation in off-policy reinforcement learning
Differential convolutional neural network
Multi-tailed vision transformer for efficient inference
Kernelized linear principal component discriminant analysis
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation
Unsupervised cross-domain named entity recognition using entity-aware adversarial training
Context-guided entropy minimization for semi-supervised domain adaptation
Computational theory and applications of a filling-in process at the blind spot
Distribution-free Bayesian regularized learning framework for semi-supervised learning
A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters
Dynamic events-based adaptive NN output feedback control of interconnected nonlinear systems under general output constraint
How to solve the N-bit parity problem with two hidden units
Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates
Controlling chaotic convection using neural nets--theory and experiments
Neuromodulation and plasticity in an autonomous robot
Self-adaptive label discovery and multi-view fusion for complementary label learning
Construction of a Boolean model of gene and protein regulatory network with memory
Investigation of efficient features for image recognition by neural networks
Dynamic tunneling algorithm and simulatted annealing circuit for global optimization
Neural maps in remote sensing image analysis
Acoustic binaural correspondence used for localization of natural acoustic signals
Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech
Contrastive Forward-Forward: A training algorithm of vision transformer
Contextual image segmentation with a neural network
Adaptive neuro-heuristic hybrid model for fruit peel defects detection
Generalized latent multi-view clustering with tensorized bipartite graph
Real-time reinforcement learning by sequential Actor-Critics and experience replay
An end-to-end exemplar association for unsupervised person Re-identification
Stabilization of delayed stochastic reaction-diffusion Cohen-Grossberg neural networks via variable gain intermittent boundary control
ReactDiff: Latent Diffusion for Facial Reaction Generation
Saturation function-based continuous control on fixed-time synchronization of competitive neural networks
On the social psychology of modelling
A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equations
Neural network representation of finite element method
Consistency-regularized graph neural networks for molecular property prediction
Improving malicious email detection through novel designated deep-learning architectures utilizing entire email
Network constraints and multi-objective optimization for one-class classification
A spiking neural network architecture for nonlinear function approximation
Neural networks trained by weight permutation are universal approximators
Label noise learning based SAR target classification method
Multi-frame image super resolution based on sparse coding
Fast underwater scene reconstruction using multi-view stereo and physical imaging
Collaborative neurodynamic optimization for solving nonlinear equations
Leveraging temporal dependency for cross-subject-MI BCIs by contrastive learning and self-attention
Corrigendum to "Interfering with a memory without erasing its trace" [Neural Networks 121 (2020) 339-355]
Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer
A universal network strategy for lightspeed computation of entropy-regularized optimal transport
Least-squares two-sample test
Adaptive double self-organizing maps for clustering gene expression profiles
Growing Hierarchical Tree SOM: An unsupervised neural network with dynamic topology
Automated classification of the behavior of rats in the forced swimming test with support vector machines
Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation
Exploring refined dual visual features cross-combination for image captioning
Radon-Sobolev Variational Auto-Encoders
A new class of multi-stable neural networks: Stability analysis and learning process
A deep learning approach for non-invasive Alzheimer's monitoring using microwave radar data
A robust semi-supervised regressor with correntropy-induced manifold regularization and adaptive graph
Feedback error learning and nonlinear adaptive control
Complexity preserving increase of the capacity of bidirectional associative memories by dilation and translation
Invisible watermarking framework for unlearned diffusion model in online service
The POP learning algorithms: reducing work in identifying fuzzy rules
Noise-resistant sharpness-aware minimization in deep learning
Necessary and sufficient conditions of proper estimators based on self density ratio for unnormalized statistical models
Lifelong Text-Audio Sentiment Analysis learning
A dynamical model for the analysis and acceleration of learning in feedforward networks
Active learning for classifying data streams with unknown number of classes
Boosting semi-supervised federated learning by effectively exploiting server-side knowledge and client-side unconfident samples
Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification
Model-free reinforcement learning control with zero-min barrier functions for constrained systems
Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs)
Self-supervised Learning for DNA sequences with circular dilated convolutional networks
StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation
Finite-time robust stabilization of uncertain delayed neural networks with discontinuous activations via delayed feedback control
Generative adversarial network based telecom fraud detection at the receiving bank
Block-level dependency syntax based model for end-to-end aspect-based sentiment analysis
SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT
Computer-aided research into a natural neural network
DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum
Towards understanding memory buffer based continual learning
Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder
Reversible gender privacy enhancement via adversarial perturbations
Liver disease screening based on densely connected deep neural networks
An approach to restoration and recovery problems using parallel hierarchical neural networks
Two forms of feedback inhibition determine the dynamical state of a small hippocampal network
Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems
DMCA-Net: Dual-branch multi-granularity hierarchical contrast and cross-attention network for cervical abnormal cell detection
Informative pairs mining based adaptive metric learning for adversarial domain adaptation
Correlating subword articulation with lip shapes for embedding aware audio-visual speech enhancement
Anomalous diffusion dynamics of learning in deep neural networks
Modular deep reinforcement learning from reward and punishment for robot navigation
A Neural Approach to the Underdetermined-Order Recursive Least-Squares Adaptive Filtering
CollectiveNet-AltSpec: A collective concurrent CNN architecture of alternate specifications for EEG media perception and emotion tracing aided by multi-domain feature-augmentation
Type-agnostic and form-oriented deductive conclusion generation
Consciousness and metarepresentation: A computational sketch
Adaptive node-level weighted learning for directed graph neural network
User preference interaction fusion and swap attention graph neural network for recommender system
A fast neural-network algorithm for VLSI cell placement
Node-personalized multi-graph convolutional networks for recommendation
Cooperative modular reinforcement learning for large discrete action space problem
Incorporating synaptic time-dependent plasticity and dynamic synapse into a computational model of wind-up
Adversarial guided diffusion models for adversarial purification
ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal
The eMOSAIC model for humanoid robot control
A Joint Time-Frequency Domain Transformer for multivariate time series forecasting
Stealthy and efficient adversarial example attack on video retrieval systems
Learning contextualized semantics from co-occurring terms via a Siamese architecture
Deep network embedding with dimension selection
Output feedback direct adaptive neural network control for uncertain SISO nonlinear systems using a fuzzy estimator of the control error