yusuke1997/dblp-id-title huggingface dataset:
A neurocomputational model of decision and confidence in object recognition task
Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron
Unsupervised feature learning for self-tuning neural networks
Polynomial harmonic GMDH learning networks for time series modeling
Network with shunting synapses as a non-linear frequency modulator
Learning a discriminative SPD manifold neural network for image set classification
HTS-LB: Hypergraph tree search for learning branch
Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons
Single image denoising with a feature-enhanced network
Operating performance assessment of industrial process based on MIC-graph convolutional networks with local slow feature analysis
Efficacy of modified backpropagation and optimisation methods on a real-world medical problem
Revisiting face forgery detection towards generalization
Lending direction to neural networks
On a class of efficient learning algorithms for neural networks
Realization of visual perception via synaptic reinforcement
DVPT: Dynamic Visual Prompt Tuning of large pre-trained models for medical image analysis
Neural systems implicated in delayed and probabilistic reinforcement
A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders
Functional loops: Monitoring functional organization of deep neural networks using algebraic topology
Rect-ViT: Rectified attention via feature attribution can improve the adversarial robustness of Vision Transformers
Astronomical image segmentation by self-organizing neural networks and wavelets
Multilayer feedforward networks are universal approximators
Rich dynamics of pulse-coupled spiking neurons with a triangular base signal
A Bayesian inverse solution using independent component analysis
Convergence rate of the semi-supervised greedy algorithm
A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance
Neural critic learning with accelerated value iteration for nonlinear model predictive control
What size network is good for generalization of a specific task of interest?
Fast Deep Stacked Networks based on Extreme Learning Machine applied to regression problems
CTFS: A consolidated transformer framework for instance and semantic segmentation tasks
On the road to invariant object recognition: How cortical area V2 transforms absolute to relative disparity during 3D vision
Controller design for global fixed-time synchronization of delayed neural networks with discontinuous activations
Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits
Embedding-Based Entity Alignment of Cross-Lingual Temporal Knowledge Graphs
Imaging a Computational Process in the Visual Cortex
Neural network tomography: Network replication from output surface geometry
VCSAP: Online reinforcement learning exploration method based on visitation count of state-action pairs
Minimisation methods for training feedforward neural networks
Recursive self-organizing network models
Few-shot human-object interaction video recognition with transformers
Deformation-invariant neural network and its applications in distorted image restoration and analysis
Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network for ERP Detection
The double queue method: a numerical method for integrate-and-fire neuron networks
The maintenance of spatial accuracy by the perisaccadic remapping of visual receptive fields
Neural mechanism for stochastic behaviour during a competitive game
Reduced storage direct tensor ring decomposition for convolutional neural networks compression
A deep network construction that adapts to intrinsic dimensionality beyond the domain
Early lexical development in a self-organizing neural network
Visual navigation with a neural network
Fastest strategy to achieve given number of neuronal firing in theta model
Privacy-enhanced multi-party deep learning
Neural networks including microRNAs
Modelling brain emergent behaviours through coevolution of neural agents
A neuralized feature engineering method for entity relation extraction
Incremental model-based reinforcement learning with model constraint
A quantitative analysis of the behaviors of the PLN network
Language-aware multiple datasets detection pretraining for DETRs
Dual-view global and local category-attentive domain alignment for unsupervised conditional adversarial domain adaptation
Unsupervised person re-identification via camera-aware multi-level label refinement
Automatic Growing of a Hopfield Style Network During Training for Classification
A comparative study of two modeling approaches in neural networks
Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection
Edge-based binocular stereopsis algorithm--a matching mechanism with probabilistic feedback
Multi-perspective neural architecture for recommendation system
Transformational theory of feedforward neural networks
Two-dimensional pattern sequence prediction using high-order neural networks
Intrinsic plasticity coding improved spiking actor network for reinforcement learning
EpilepsyFM: A domain-specific foundation model for epileptic representation learning using EEG signals
Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems
Safe control of logical control networks with random impulses
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion
Time series (re)sampling using Generative Adversarial Networks
Winner-take-all networks for physiological models of competitive learning
Emulation of wildland fire spread simulation using deep learning
ProMask: Probability mask representation for skeleton detection
An associative memory readout for ESNs with applications to dynamical pattern recognition
A systematic investigation of a neural network for function approximation
Communication and Brain
Improved value iteration for neural-network-based stochastic optimal control design
Multistability of delayed fractional-order competitive neural networks
Knowledge graph information bottleneck enhanced molecular representation learning
Some design features of visual cortex
Learning policy scheduling for text augmentation
Robust face alignment by cascaded regression and de-occlusion
For neural networks, function determines form
Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation
End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation
Fixed-time and prescribed-time synchronization of quaternion-valued neural networks: A control strategy involving Lyapunov functions
Contributions of prefrontal cue-, delay-, and response-period activity to the decision process of saccade direction in a free-choice ODR task
On the approximation of functions by tanh neural networks
The "off line learning approximation" in continuous time neural networks: An adiabatic theorem
Training neural nets through stochastic minimization
Vowel-feature extraction from cochlear vibration using neural networks
Reinforcement learning with temporal and variable dependency-aware transformer for stock trading optimization
Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reduction
Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker
Preserving domain private information via mutual information maximization
Deep learning in spiking neural networks
Simplified calcium signaling cascade for synaptic plasticity
The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts
Multispectral remote sensing object detection via selective cross-modal interaction and aggregation
Exponential state estimation for Markovian jumping neural networks with time-varying discrete and distributed delays
DualAttlog: Context aware dual attention networks for log-based anomaly detection
The role of neural oscillations in attention: Perspectives for computational models
Local minimum escape using thermodynamic properties of neural networks
RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection
A real-time, unsupervised neural network for the low-level control of a mobile robot in a nonstationary environment
Synaptic rewiring for topographic mapping and receptive field development
Boosting fine-tuning via Conditional Online Knowledge Transfer
Graph Transformer Networks: Learning meta-path graphs to improve GNNs
TimeCNN: Refining inscross-variable interaction on time point for time series forecasting
Synchronization stability of memristor-based complex-valued neural networks with time delays
Approximation capabilities of measure-preserving neural networks
Towards the theory for mitigating gradient issues and dead neurons in deep learning through a modified Gaussian activation function
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
Neighborhood relation-based knowledge distillation for image classification
Self-Referencing Agents for Unsupervised Reinforcement Learning
Short range motion detection in the insect visual system
OnARTMAP: A Fuzzy ARTMAP-based Architecture
Model-based optimized phase-deviation deep brain stimulation for Parkinson 's disease
Multi-modal orthogonal fusion network via cross-layer guidance for Alzheimer's disease diagnosis
Deep learning in random neural fields: Numerical experiments via neural tangent kernel
Approximate neural optimal control with reinforcement learning for a torsional pendulum device
Strategies at a glance: A comparative analysis of training techniques for optimizing early-exit deep neural networks
DiagSWin: A multi-scale vision transformer with diagonal-shaped windows for object detection and segmentation
Uncertainty propagation for dropout-based Bayesian neural networks
Neuromodulation of decision and response selection
Neuron as a reward-modulated combinatorial switch and a model of learning behavior
Hiertalker: A default hierarchy of high order neural networks that learns to read english aloud
Escarcitys: A framework for enhancing medical image classification performance in scarcity of trainable samples scenarios
Approximation of functions by perceptron networks with bounded number of hidden units
Class-specific extreme learning machine for handling binary class imbalance problem
A general adaptive unsupervised feature selection with auto-weighting
Spatial-temporal recurrent reinforcement learning for autonomous ships
Smart sampling and incremental function learning for very large high dimensional data
Towards a better evaluation of out-of-domain generalization
A self-stabilizing MSA algorithm in high-dimension data stream
Dopamine: generalization and bonuses
Online design of an echo state network based wide area monitor for a multimachine power system
The asymptotic memory capacity of the generalized Hopfield network
Dynamics of neural networks with variable coefficients and time-varying delays
Associative memory by recurrent neural networks with delay elements
Graph kernels for chemical informatics
Artificial vision by multi-layered neural networks: Neocognitron and its advances
Real-time human-robot interaction underlying neurorobotic trust and intent recognition
PolarFusion: A multi-modal fusion algorithm for 3D object detection based on polar coordinates
A structural model of emotions of cognitive dissonances
Bipartite synchronization of signed networks via aperiodically intermittent control based on discrete-time state observations
Dynamic Auxiliary Soft Labels for decoupled learning
A neural network model for coordination of hand gesture during reach to grasp
Broadcast scheduling in wireless multihop networks using a neural-network-based hybrid algorithm
Forward and inverse reinforcement learning sharing network weights and hyperparameters
Finite-time nonfragile time-varying proportional retarded synchronization for Markovian Inertial Memristive NNs with reaction-diffusion items
Physics-informed Neural Implicit Flow neural network for parametric PDEs
A quantitative study of experimental evaluations of neural network learning algorithms: Current research practice
Binarized Simplicial Convolutional Neural Networks
Deep Huber quantile regression networks
Fast Haar Transforms for Graph Neural Networks
Tensorized Incomplete Multi-view Kernel Subspace Clustering
Convergence property of topographic mapping formation from cell layer to cell layer through correlation learning rule
Corrigendum to "Feedback associative memory based on a new hybrid model of generalized regression and self feedback neural networks" [Neural Netw. 23(7) (2010) 892-904]
Universal learning network and its application to chaos control
Improving few-shot relation extraction through semantics-guided learning
Modeling failures in smart grids by a bilinear logistic regression approach
Video summarization for event-centric videos
Multimodal prediction of catheter ablation outcomes in patients with persistent atrial fibrillation
Generative Adversarial Network with Multi-branch Discriminator for imbalanced cross-species image-to-image translation
Evolutionary architecture search for generative adversarial networks using an aging mechanism-based strategy
Models of human visual attention should consider trial-by-trial variability in preparatory neural signals
A proposed system of inhibition in the deeper layers of the superior colliculus
An identifiable cost-aware causal decision-making framework using counterfactual reasoning
Dynamic link of memory--Chaotic memory map in nonequilibrium neural networks
Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks
Learning in the machine: To share or not to share?
Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
A clustering-based adaptive Neighborhood Retrieval Visualizer
Echo inversion and target shape estimation by neuromorphic processing
Improving back propagation with a new error function
Real-time hardware emulation of neural cultures: A comparative study of in vitro, in silico and in duris silico models
DGPrompt: Dual-guidance prompts generation for vision-language models
NeuroAdaptive multi-resolution integration network for decoding cognitive complexity levels in EEG-based pronoun resolution tasks
Improving efficiency in convolutional neural networks with multilinear filters
Finite-time cluster synchronization for a class of fuzzy cellular neural networks via non-chattering quantized controllers
Language evolution: neural homologies and neuroinformatics
Asynchronous iterative Q-learning based tracking control for nonlinear discrete-time multi-agent systems
A protocol for trustworthy EEG decoding with neural networks
Combining the results of several neural network classifiers
Restarted multiple kernel algorithms with self-guiding for large-scale multi-view clustering
Anxiety disorder identification with biomarker detection through subspace-enhanced hypergraph neural network
Leveraging spatial residual attention and temporal Markov networks for video action understanding
A conditional Triplet loss for few-shot learning and its application to image co-segmentation
Multi-agent reinforcement learning: weighting and partitioning
Hodge-Kodaira decomposition of evolving neural networks
Towards explainable deep neural networks (xDNN)
Higher-order neural networks and photon-echo effect
Extreme learning machine and adaptive sparse representation for image classification
A topological description of loss surfaces based on Betti Numbers
Synchronization in an array of coupled neural networks with delayed impulses: Average impulsive delay method
Implementing the discontinuous-Galerkin finite element method using graph neural networks with application to diffusion equations
Global dynamics of bidirectional associative memory neural networks involving transmission delays and dead zones
A unified multimodal classification framework based on deep metric learning
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots
Pedagogical pattern selection strategies
Bounds on the number of hidden neurons in three-layer binary neural networks
Hierarchical knowledge-guided reasoning for text-based person re-identification
Prediction of admission in pediatric emergency department with deep neural networks and triage textual data
Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps
Are Vision-xLSTM-embedded U-Nets better at segmenting medical images?
Balanced multi-modality knowledge mining for RGB-infrared object detection
Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delays
Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron
Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures
Redundant coding for fault tolerant computing on Hopfield network
Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks
Piecewise convexity of artificial neural networks
Dual view graph transformer networks for multi-hop knowledge graph reasoning
Detecting slender objects with uncertainty based on keypoint-displacement representation
Exploring the white matter disruptions for Schizophrenia based on convolutional ensemble kernel randomized network
Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum
Corrigendum to "An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification" [Neural Networks 185 (2025) 107142]
Another exciting year for the INNS/ENNS/JNNS journal!
A sparse and wide neural network model for DNA sequences
Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control
Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain
Open-set long-tailed recognition via orthogonal prototype learning and false rejection correction
Dynamic domain generalization for medical image segmentation
Smoothing inertial projection neural network for minimization Lp-q in sparse signal reconstruction
Source separation in astrophysical maps using independent factor analysis
When an extra rejection class meets out-of-distribution detection in long-tailed image classification
A vector-integration-to-endpoint model for performance of viapoint movements
Supervised contrastive learning with prototype distillation for data incremental learning
Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality
Weighted parallel problem solving by optimization networks
Simultaneous L p -approximation order for neural networks
Recurrent neural network pruning using dynamical systems and iterative fine-tuning
Boundary conditions and phase transitions in neural networks. Theoretical results
Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification
Neural network simulation and pandemonium
New conditions on synchronization of networks of linearly coupled dynamical systems with non-Lipschitz right-hand sides
Event detection and localization for small mobile robots using reservoir computing
Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design
BSA-Seg: A Bi-level sparse attention network combining narrow band loss for multi-target medical image segmentation
A neural network for error correcting decoding of binary linear codes
Chaos in Neural Networks Composed of Coincidence Detector Neurons
A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer
A theory of cerebellar cortex and adaptive motor control based on two types of universal function approximation capability
EEG-CLIP: A transformer-based framework for EEG-guided image generation
Interpretable local flow attention for multi-step traffic flow prediction
Corrigendum to "Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays" [Neural Networks 145 (2022) 319-330]
Multi-teacher knowledge distillation framework for lightweight anomaly detection
Extending the Evolutionary Robotics approach to flying machines: An application to MAV teams
Training multi-source domain adaptation network by mutual information estimation and minimization
Fast generating algorithm for a general three-layer perceptron
FPGA implementation of self organizing map with digital phase locked loops
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition
ZS-MNET: A zero-shot learning based approach to multimodal named entity typing
TDAG: A multi-agent framework based on dynamic Task Decomposition and Agent Generation
Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning
Integrated information in the thermodynamic limit
Dimensionality of the intermediate-level representation of shape and texture in monkey V4
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics
On the equivalence between kernel self-organising maps and self-organising mixture density networks
A differentiable approach to the maximum independent set problem using dataless neural networks
A fully convolutional two-stream fusion network for interactive image segmentation
Learning shared template representation with augmented feature for multi-object pose estimation
Semantic discrete decoder based on adaptive pixel clustering for monocular depth estimation
A lightweight model for perceptual image compression via implicit priors
A principal components analysis self-organizing map
Advancements in exponential synchronization and encryption techniques: Quaternion-Valued Artificial Neural Networks with two-sided coefficients
Identity Model Transformation for boosting performance and efficiency in object detection network
Photomontage detection using steganography technique based on a neural network
ON-OFF retinal ganglion cells temporally encode OFF/ON sequence
Distributed optimized dynamic event-triggered control for unknown heterogeneous nonlinear MASs with input-constrained
Independent component analysis for noisy data -- MEG data analysis
A causal discovery algorithm based on the prior selection of leaf nodes
Dynamic class imbalance learning for incremental LPSVM
Neuro Fuzzy Approach to Pattern Recognition
Scalable and effective negative sample generation for hyperedge prediction
Knowledge-reinforced explainable next basket recommendation
Visual cortical mechanisms of perceptual grouping: interacting layers, networks, columns, and maps
Quantum-like influence diagrams for decision-making
Construction of inner space representation of latticed network circuits by learning
Analyzing and shaping human attentional networks
Delay-distribution-dependent H ∞ state estimation for delayed neural networks with (x, v)-dependent noises and fading channels
Adaptive knowledge selection in dialogue systems: Accommodating diverse knowledge types, requirements, and generation models
Some new results on neural network approximation
Sequential multi-view subspace clustering
Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons
Generalizations of principal component analysis, optimization problems, and neural networks