yusuke1997/dblp-id-title huggingface dataset:
A novel deep transfer learning method based on explainable feature extraction and domain reconstruction
POPFNN: A Pseudo Outer-product Based Fuzzy Neural Network
Robust L1-norm two-dimensional linear discriminant analysis
An associative memory model based on a quantification method
Learning to recognize while learning to speak: Self-supervision and developing a speaking motor
Intra-head pruning for vision transformers via inter-layer dimension relationship modeling
A comprehensive and reliable feature attribution method: Double-sided remove and reconstruct (DoRaR)
Adaptive selection of local and non-local attention mechanisms for speech enhancement
Fast algorithm and implementation of dissimilarity self-organizing maps
Rethinking mixture of rain removal via depth-guided adversarial learning
Neural Network Dynamics for Path Planning and Obstacle Avoidance
Adaptive support vector regression for UAV flight control
An EEG channel selection method for motor imagery based brain-computer interface and neurofeedback using Granger causality
Generation and control of cortical gamma: findings from simulation at two scales
Stability and bifurcation analysis of new coupled repressilators in genetic regulatory networks with delays
Energy functions for minimizing misclassification error with minimum-complexity networks
Expected energy-based restricted Boltzmann machine for classification
Deterministic global optimal FNN training algorithms
A new LMS-based algorithm for rapid adaptive classification in dynamic environments
Three creatures named 'forward model'
Toward high-quality pseudo masks from noisy or weak annotations for robust medical image segmentation
Training multi-layered neural network neocognitron
Multispectral Image Classification Using Gabor Filters and Stochastic Relaxation Neural Network
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization
Advances in Self-Organizing Maps
The Bifurcating Neuron Network 1
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation
Suppression of collective synchronization in a system of neural groups with washout-filter-aided feedback
Decoding olfactory response from neurophysiological signal with a multi modal deep learning framework
Secure event-triggered control of discrete-time markovian jump systems under deception attacks: a case study on DC motor devices
Walknet--a biologically inspired network to control six-legged walking
Progressive Neighbor-masked Contrastive Learning for Fusion-style Deep Multi-view Clustering
pRAM nets for detection of small targets in sequences of infra-red images
Corrigendum to "Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory-motor adaptation" [Neural Netw. 155 (2022) 422-438]
Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB
Continual learning of conjugated visual representations through higher-order motion flows
A network for recursive extraction of canonical coordinates
Minimum spanning tree based graph neural network for emotion classification using EEG
Roles of visual experience and intrinsic mechanism in the activity-dependent self-organization of orientation maps: theory and experiment
Locally connected spiking neural networks for unsupervised feature learning
Meta-learning based blind image super-resolution approach to different degradations
Protocol-based state estimation for delayed Markovian jumping neural networks
Understanding human intention by connecting perception and action learning in artificial agents
Bistability in Purkinje neurons: Ups and downs in cerebellar research
AdaptiveWordBug: Generating adversarial texts with an adaptive scoring strategy against deep learning classifiers
DMMAN: A two-stage audio-visual fusion framework for sound separation and event localization
An analytical framework for optimizing neural networks
VC dimensions of group convolutional neural networks
The connections between the frustrated chaos and the intermittency chaos in small Hopfield networks
Compositionally-warped Gaussian processes
Variable structure controller design for Boolean networks
Robust structure-preservation tensorized representation for multi-view unsupervised feature selection
Two-level group convolution
Cascade interpolation learning with double subspaces and confidence disturbance for imbalanced problems
Receptive field density of y cells estimated by a model of human retina
Privacy-preserving personalized federated prompt learning for vision-language models
Sequential safe feature elimination rule for L1-regularized regression with Kullback-Leibler divergence
The importance of stochastic signaling processes in the induction of long-term synaptic plasticity
Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning
Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning
A survey of adaptive resonance theory neural network models for engineering applications
A prompt tuning method based on relation graphs for few-shot relation extraction
Neural Networks goes electronic at twenty!
A Self-Organizing Incremental Neural Network based on local distribution learning
Convergence analysis of sparse TSK fuzzy systems based on spectral Dai-Yuan conjugate gradient and application to high-dimensional feature selection
Exponential passivity of memristive neural networks with time delays
Affect recognition from facial movements and body gestures by hierarchical deep spatio-temporal features and fusion strategy
Supervised Learning Extensions to the CLAM Network
Local spatial and temporal relation discovery model based on attention mechanism for traffic forecasting
Semi-supervised learning of class balance under class-prior change by distribution matching
Recurrent neural network architecture with pre-synaptic inhibition for incremental learning
How to be a gray box: dynamic semi-physical modeling
TIToK: A solution for bi-imbalanced unsupervised domain adaptation
Cognitive process and information processing model based on deep learning algorithms
A new approach to optimal control of conductance-based spiking neurons
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections
Parallel hardware implementation of Kohonen's algorithm with an active medium
Confounder balancing in adversarial domain adaptation for pre-trained large models fine-tuning
Impulsive hybrid discrete-time Hopfield neural networks with delays and multistability analysis
Optimized deep learning networks for accurate identification of cancer cells in bone marrow
A convolutional recursive modified Self Organizing Map for handwritten digits recognition
Cortical dynamics of navigation and steering in natural scenes: Motion-based object segmentation, heading, and obstacle avoidance
A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function
Improved multi-view privileged support vector machine
Investigating navigation strategies in the Morris Water Maze through deep reinforcement learning
A novel data-driven visualization of n-dimensional feasible region using interpretable self-organizing maps (iSOM)
Fault simulation of a wafer-scale integrated neural network
Unified synchronization criteria in an array of coupled neural networks with hybrid impulses
Stability conditions for nonlinear continuous neural networks with asymmetric connection weights
Locality preserving dense graph convolutional networks with graph context-aware node representations
Concerning the differentiability of the energy function in vector quantization algorithms
Invariant recognition of cluttered scenes by a self-organizing ART architecture: CORT-X boundary segmentation
Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks
Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory
Robust full-parameter control method: Constructing multiscroll HNN via memristor
Adaptive control-based synchronization of discrete-time fractional-order fuzzy neural networks with time-varying delays
Global anti-synchronization of a class of chaotic memristive neural networks with time-varying delays
O(t-α)-synchronization and Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations
PILOT: Deep Siamese network with hybrid attention improves prediction of mutation impact on protein stability
Complex independent component analysis of frequency-domain electroencephalographic data
Hybrid fault diagnosis of nonlinear systems using neural parameter estimators
Dual adaptive learning multi-task multi-view for graph network representation learning
Structural consistency learning for unsupervised domain adaptive object detection
Missing value imputation on missing completely at random data using multilayer perceptrons
Dual memory model for experience-once task-incremental lifelong learning
Expressive power of ReLU and step networks under floating-point operations
A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network
Image style transfer with collection representation space and semantic-guided reconstruction
High-speed olfactory perception with adaptive load balancing based on a laser array reservoir computing architecture
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learning
Dynamic periodic event-triggered control of stochastic complex networks with time-varying delays
Associative Dynamics in a Chaotic Neural Network
Explainable multiplex graph propagational network with multimodal neuroimage integration for dementia subtype diagnosis
Self-supervised ARTMAP
Averaged neural networks
Unbiased estimate of generalization error and model selection in neural network
Bipolar optical neural networks using ferroelectric liquid crystal devices
Self discovery enables robot social cognition: Are you my teacher?
Event fusion photometric stereo network
Robust noise-aware algorithm for randomized neural network and its convergence properties
Stochastic separation theorems
Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability
The unimodal model for the classification of ordinal data
Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection
Support vector machine embedding discriminative dictionary pair learning for pattern classification
Data-based decentralized control of nonlinear-constrained interconnected systems using reinforcement learning
Learning decision trees using parallel sequential induction network
Prespecified-time synchronization of switched coupled neural networks via smooth controllers
On the network-based emulation of human visual search
Neural networks for nonlinear and mixed complementarity problems and their applications
UNAGI: Unified neighbor-aware graph neural network for multi-view clustering
Lena-TRNN: Exploring energy flow for time series prediction
Assist-as-needed robotic trainer based on reinforcement learning and its application to dart-throwing
Corrigendum to "Hierarchical Feature-guided Prototypical Network for Few-shot Knowledge Graph Completion" [Neural Networks Volume 191, November 2025, 107702/NN_107702]
DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis
Prompt-guided consistency learning for multi-label classification with incomplete labels
High-resolution Self-Organizing Maps for advanced visualization and dimension reduction
Glass pattern recognition with neural-networks
Spike timing-dependent plasticity induces non-trivial topology in the brain
Robust capped L1-norm twin support vector machine
Social cognition: From babies to robots
Classification of cortical microcircuits based on micro-electrode-array data from slices of rat barrel cortex
Stereoscopic scalable quantum convolutional neural networks
Both motivational and training factors affect response conflict choice performance in rats
An analysis of premature saturation in back propagation learning
Clustering: A neural network approach
Outer synchronization and outer H∞ synchronization for coupled fractional-order reaction-diffusion neural networks with multiweights
Subspace distillation for continual learning
Rethinking progressive low-light image enhancement: A frequency-aware tripartite multi-scale network
LAC-GAN: Lesion attention conditional GAN for Ultra-widefield image synthesis
CCGN: Centralized collaborative graphical transformer multi-agent reinforcement learning for multi-intersection signal free-corridor
Evolving spiking neural networks for audiovisual information processing
A multi-view co-training network for semi-supervised medical image-based prognostic prediction
Stochastic configuration network ensembles with selective base models
How do we model attention-dependent signal routing?
GCReID: Generalized continual person re-identification via meta learning and knowledge accumulation
Offline reward shaping with scaling human preference feedback for deep reinforcement learning
Template-based procedures for neural network interpretation
Diversifying customer review rankings
Existence and global exponential stability of a periodic solution to interval general bidirectional associative memory (BAM) neural networks with multiple delays on time scales
Combination of certainty and uncertainty: Using FusionGAN to create abstract paintings
Multi-sensor integration for on-line tool wear estimation through radial basis function networks and fuzzy neural network
Improved two-view interactional fuzzy learning based on mutual-rectification and knowledge-mergence
Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal
MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion
Simulation Platform: A cloud-based online simulation environment
Passive filter design for fractional-order quaternion-valued neural networks with neutral delays and external disturbance
Semi-supervised deep learning of brain tissue segmentation
MI-CAT: A transformer-based domain adaptation network for motor imagery classification
Contextual encoder-decoder network for visual saliency prediction
HMT-DTI: Hierarchical meta-path learning with transformer for drug-target interaction prediction
Neural dynamics of idea generation and the effects of priming
Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems
Observer-based adaptive neural tracking control for a class of nonlinear systems with prescribed performance and input dead-zone constraints
ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment
Optical character recognition by a neural network
Synchronization criteria of delayed inertial neural networks with generally Markovian jumping
A developmental approach to visually-guided reaching in artificial systems
PKI: Prior knowledge-infused neural network for few-shot class-incremental learning
A new algorithm for learning in piecewise-linear neural networks
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks
Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits
Exploiting layerwise convexity of rectifier networks with sign constrained weights
A spectral graph convolution for signed directed graphs via magnetic Laplacian
Finding core labels for maximizing generalization of graph neural networks
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings
Mean square exponential stabilization analysis of stochastic neural networks with saturated impulsive input
Inter-participant transfer learning with attention based domain adversarial training for P300 detection
Low-shot transfer with attention for highly imbalanced cursive character recognition
Taco-DDI: accurate prediction of drug-drug interaction events using graph transformer-based architecture and dynamic co-attention matrices
AAC-GS: Attention-aware adaptive codebook for Gaussian splatting compression
Knowledge-guided adaptive spatial-temporal graph contrastive learning framework: Regional crop diseases prediction based on electronic medical records
Comments on: A unified algorithm for principal and minor components extraction
Modeling Bellman-error with logistic distribution with applications in reinforcement learning
DA-MoE: Addressing depth-sensitivity in graph-level analysis through mixture of experts
Cross-validation of matching correlation analysis by resampling matching weights
Internal-external boundary attention fusion for glass surface segmentation
SSR1M: A stochastic SR1 method with momentum acceleration for non-Convex optimization
A regenerating spiking neural network
Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms
A Sequential Learning Approach for Single Hidden Layer Neural Networks
Synchronization of Markovian jumping inertial neural networks and its applications in image encryption
A novel number-theoretic sampling method for neural network solutions of partial differential equations
How to handle noisy labels for robust learning from uncertainty
Object selection based on oscillatory correlation
T-distributed Stochastic Neighbor Network for unsupervised representation learning
Stochastic complexities of general mixture models in variational Bayesian learning
Long-range diffusion for weakly camouflaged object segmentation
Towards parameter-free attentional spiking neural networks
TFRS: A task-level feature rectification and separation method for few-shot video action recognition
La-LoRA: Parameter-efficient fine-tuning with layer-wise adaptive low-rank adaptation
gamma-Observable neighbours for vector quantization
Multi-context aware user-item embedding for recommendation
Novel projection neurodynamic approaches for constrained convex optimization
Hopf bifurcation stability in Hopfield neural networks
Bayesian learning of feature spaces for multitask regression
DePoint: Improving rotation robustness of 3D point cloud analysis via decreasing entropy
Formal analysis of aggregate function of layer II cerebral cortex
Bayesian spectral deconvolution with the exchange Monte Carlo method
Multi-scale target-aware representation learning for fundus image enhancement
Automated diagnoses from clinical narratives: A medical system based on computerized medical records, natural language processing, and neural network technology
Finite-time stabilization and energy consumption estimation for delayed neural networks with bounded activation function
Complete synchronization of temporal Boolean networks
A spatial-frequency hybrid restoration network for JPEG compressed image deblurring
Learning goal-directed sensory-based navigation of a mobile robot
Opponent interactions between serotonin and dopamine
Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems
Assessing the importance of features for multi-layer perceptrons
A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis
Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delays
Adaptive RBF network for parameter estimation and stable air-fuel ratio control
M3T-CKD: A multi-modal multi-teacher contrastive knowledge distillation framework for survival prediction of patients with carotid atherosclerosis
Predictive uncertainty in environmental modelling
The Boltzmann Perceptron Network: A soft classifier
Compositional memory in attractor neural networks with one-step learning
Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach
Cross-modality integration framework with prediction, perception and discrimination for video anomaly detection
Growing dendrites enhance a neuron's computational power and memory capacity
Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor
A benchmarking protocol for SAR colorization: From regression to deep learning approaches
A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics
Investigating neuronal activity by SPYCODE multi-channel data analyzer
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography
A unified framework to control estimation error in reinforcement learning
How does the brain rapidly learn and reorganize view-invariant and position-invariant object representations in the inferotemporal cortex?
Exploring the mechanical behavior of friction material composites using artificial intelligence
Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos
Robust growing neural gas algorithm with application in cluster analysis
A new upper bound for the norm of interval matrices with application to robust stability analysis of delayed neural networks
GradToken: Decoupling tokens with class-aware gradient for visual explanation of Transformer network
Representation, time, scale, and neural computation
Memristor-based circuit design of episodic memory neural network and its application in hurricane category prediction
ReranKGC: A cooperative retrieve-and-rerank framework for multi-modal knowledge graph completion
Conjunctoids: Statistical learning modules for binary events
Multiview learning with twin parametric margin SVM
Neocognitron capable of incremental learning
Analog Spiking U-Net integrating CBAM&ViT for medical image segmentation
The state of MIIND
A model-based theory on the signal transformation for microsaccade generation
Backdoor attacks on unsupervised graph representation learning
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach
Memristor-based LSTM network with in situ training and its applications
Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach
Radial Basis Function Network Configuration Using Mutual Information and the Orthogonal Least Squares Algorithm
Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay
Community-influencing path explanation for link prediction in heterogeneous graph neural network
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Dual selective fusion transformer network for hyperspectral image classification
Not all edges are peers: Accurate structure-aware graph pooling networks
What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
Basis function models of the CMAC network
Multi-Adaptive Optimization for multi-task learning with deep neural networks
Solving ill-posed problems with artificial neural networks
Plato's theory of ideas revisited
Representation of Visual Features of Objects in the Inferotemporal Cortex
It takes two: Dual Branch Augmentation Module for domain generalization
Implementing feature binding through dendritic networks of a single neuron
The construction of arbitrary stable dynamics in nonlinear neural networks
Using Neural Networks to Determine Sugeno Measures by Statistics
Convergence Properties of High-order Boltzmann Machines
Unifying emotion-oriented and cause-oriented predictions for emotion-cause pair extraction
Deformation depth decoupling network for point cloud domain adaptation
Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach