yusuke1997/dblp-id-title huggingface dataset:
Information-theoretic complementary prompts for improved continual text classification
Real-time neural computation of the maximum likelihood criterion for bearing estimation problems
EWT: Efficient Wavelet-Transformer for single image denoising
A multi-level teacher assistant-based knowledge distillation framework with dynamic feedback for motor imagery EEG decoding
Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee
Effective and direct control of neural TTS prosody by removing interactions between different attributes
MAVIS: A special purpose neural computational system for ATR
Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation
Cascade associative memory storing hierarchically correlated patterns with various correlations
Representation based regression for object distance estimation
Robust adaptive learning of feedforward neural networks via LMI optimizations
GSAformer: Group sparse attention transformer for functional brain network analysis
Towards understanding theoretical advantages of complex-reaction networks
Topological relationships between brain and social networks
A Comparative Study of Self-organizing Clustering Algorithms Dignet and ART2
DualFluidNet: An attention-based dual-pipeline network for fluid simulation
Quantum pulse coupled neural network
Dendritic gates for signal integration with excitability-dependent responsiveness
Neural networks for improved target differentiation and localization with sonar
Robust spike-train learning in spike-event based weight update
Chaotic recurrent neural networks for brain modelling: A review
RISE-Editing: Rotation-invariant neural point fields with interactive segmentation for fine-grained and efficient editing
Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring
Mixed states on neural network with structural learning
Kernel-based LFP estimation in detailed large-scale spiking network model of mouse visual cortex
An information-theoretic perspective of physical adversarial patches
Computation of pattern invariance in brain-like structures
Perturbation of deep autoencoder weights for model compression and classification of tabular data
Competitive learning to generate sparse representations for associative memory
A Dual Robust Graph Neural Network Against Graph Adversarial Attacks
How are response properties in the middle temporal area related to inference on visual motion patterns?
Multi-task learning for the prediction of wind power ramp events with deep neural networks
Rescaling of variables in back propagation learning
MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams
A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations
A hybrid CPG-ZMP control system for stable walking of a simulated flexible spine humanoid robot
Self-augmentation: Generalizing deep networks to unseen classes for few-shot learning
Label smoothing and task-adaptive loss function based on prototype network for few-shot learning
DKiS: Decay weight invertible image steganography with private key
Asymptotic Stationarity of Discrete-time Stochastic Neural Networks
Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140]
NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration
Predicting the behaviour of G-RAM networks
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems
On robust learning of memory attractors with noisy deep associative memory networks
Asynchronous event-based corner detection and matching
An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection
Boundary conditions and phase transitions in neural networks. Simulation results
Quantum recurrent neural networks for sequential learning
An approach to guaranteeing generalisation in neural networks
Local multidimensional scaling
A learning algorithm for oscillatory cellular neural networks
UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement
A neurodynamical model for selective visual attention using oscillators
Expert guidance and partially-labeled data collaboration for multi-organ segmentation
Structure enhanced deep clustering network via a weighted neighbourhood auto-encoder
Multi-scale spatial diffusion under frequency information-guidance For low-light image enhancement
HAVNET: A New Neural Network Architecture for Pattern Recognition
Hopfield neural network: The hyperbolic tangent and the piecewise-linear activation functions
Detection of pancreatic cancer by convolutional-neural-network-assisted spontaneous Raman spectroscopy with critical feature visualization
Physics-informed kernel function neural networks for solving partial differential equations
Statistical properties of support vector machines with forgetting factor
Accelerating gradient descent and Adam via fractional gradients
Optimal unsupervised learning in a single-layer linear feedforward neural network
Fast-learning VIEWNET architectures for recognizing three-dimensional objects from multiple two-dimensional views
Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning
State representation learning for control: An overview
Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression
Temporal dynamics of binocular disparity processing with corticogeniculate interactions
Prespeech motor learning in a neural network using reinforcement
Emotion recognition using multi-scale EEG features through graph convolutional attention network
Identification of brain regions responsible for Alzheimer's disease using a Self-adaptive Resource Allocation Network
Learning grammatical structure with Echo State Networks
Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation
ARPruning: An automatic channel pruning based on attention map ranking
Optimization of olfactory model in software to give 1/ f power spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors
Modeling spike-wave discharges by a complex network of neuronal oscillators
Nonlinear dynamical modeling of speech using neural networks
OOPS: Outlier-aware and quadratic programming based structured pruning for large language models
AnimalRTPose: Faster cross-species real-time animal pose estimation
Attacking cooperative multi-agent reinforcement learning by adversarial minority influence
Graph-based social relation inference with multi-level conditional attention
Adaptive dynamic programming approach to experience-based systems identification and control
Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification
Evolutionary artificial neural networks by multi-dimensional particle swarm optimization
G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation
Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis
Propagation of cortical synfire activity: survival probability in single trials and stability in the mean
Introduction: 1994 Special issue
Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function
Sign potential-driven multiplicative optimization for robust deep reinforcement learning
Composite attention mechanism network for deep contrastive multi-view clustering
Theory of the backpropagation neural network
ANNSyS: an Analog Neural Network Synthesis System
The time course of saccadic decision making: Dynamic field theory
Analysis of programming properties and the row-column generation method for 1-norm support vector machines
BAB-GSL: Using Bayesian influence with attention mechanism to optimize graph structure in basic views
I2HGNN: Iterative Interpretable HyperGraph Neural Network for semi-supervised classification
Novel deep generative simultaneous recurrent model for efficient representation learning
Bayesian approach to feature selection and parameter tuning for support vector machine classifiers
Bayesian approach for neural networks--review and case studies
Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems
Hölder network for improved adversarial robustness
Advanced visualization of Self-Organizing Maps with vector fields
Conformal self-organization for continuity on a feature map
Hyperlink regression via Bregman divergence
A new motion illusion based on competition between two kinds of motion processing units: The Accordion Grating
Resolving some confusions over attention and consciousness
Optimal decision network with distributed representation
The use of artificial neural networks in decision support in cancer: A systematic review
Neural network model for completing occluded contours
Scaling-efficient in-situ training of CMOL CrossNet classifiers
Fingerprints classification using artificial neural networks: a combined structural and statistical approach
GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing
Greedy auto-augmentation for n-shot learning using deep neural networks
Efficient information transfer and anti-Hebbian neural networks
Unsupervised robust discriminative manifold embedding with self-expressiveness
Evolutionary q-Gaussian radial basis function neural networks for multiclassification
Adaptive differential privacy mechanism for enhanced deep learning model utility and privacy
Micro-cracks detection of solar cells surface via combining short-term and long-term deep features
A kernel-based Perceptron with dynamic memory
The importance of being synchronous in neural networks
Fixed/prescribed-time synchronization of state-dependent switching neural networks with stochastic disturbance and impulsive effects
Representation-driven sampling and adaptive policy resetting for improving multi-Agent reinforcement learning
A confidence-guided Unsupervised domain adaptation network with pseudo-labeling and deformable CNN-transformer for medical image segmentation
A cross-temporal contrastive disentangled model for ancient Chinese understanding
Bottom-up learning of explicit knowledge using a Bayesian algorithm and a new Hebbian learning rule
S-TREE: self-organizing trees for data clustering and online vector quantization
Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning
Faithful representations with topographic maps
Quantum neuron with real weights
Even on Finite Test Sets Smaller Nets may Perform Better
A reverse engineering algorithm for neural networks, applied to the subthalamopallidal network of basal ganglia
SPIDE: A purely spike-based method for training feedback spiking neural networks
M2ixKG: Mixing for harder negative samples in knowledge graph
Structural prior-driven feature extraction with gradient-momentum combined optimization for convolutional neural network image classification
The apical dendrite theory of consciousness
Self-triggered neural tracking control for discrete-time nonlinear systems via adaptive critic learning
Approximation results for neural network operators activated by sigmoidal functions
Invariant feature based label correction for DNN when Learning with Noisy Labels
Echo state networks are universal
A continuous-time neurodynamic approach in matrix form for rank minimization
Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring
Editorial for 2010
Regression-based multisource conditional domain adaptation for policy outcome prediction
Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators
DRG: A dual relational graph framework for course recommendation
Spontaneous organization of the cortical structure through endogenous neural firing and gap junction transmission
Emergent neural turing machine and its visual navigation
A universal multilingual weightless neural network tagger via quantitative linguistics
L1-norm locally linear representation regularization multi-source adaptation learning
Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking
Symmetric positive definite manifold learning and its application in fault diagnosis
Adaptive sampling artificial-actual control for non-zero-sum games of constrained systems
A deterministic annealing algorithm for approximating a solution of the min-bisection problem
Multi-view clustering based on feature selection and semi-non-negative anchor graph factorization
SPAST: Arbitrary style transfer with style priors via pre-trained large-scale model
A combined evolution method for associative memory networks
On the robustness of skeleton detection against adversarial attacks
Sparse Bayesian correntropy learning for robust muscle activity reconstruction from noisy brain recordings
Learning contrastive semantic decomposition for visual grounding
Asymptotic analysis of Bayesian generalization error with Newton diagram
Global dissipativity analysis for delayed quaternion-valued neural networks
Comparison of internal processing of different network paradigms
Efficient joint model learning, segmentation and model updating for visual tracking
A simple method for designing efficient small-world neural networks
Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference
Correction on 'Dynamical neural networks that ensure exponential identification error convergence'
MetaNIRS: A general decoding framework for fNIRS based motor execution/imagery
Optimal filtering algorithms for fast learning in feedforward neural networks
Information capacity of McCulloch Pitts' model
Growing Neural Gas approach for obtaining homogeneous maps by restricting the insertion of new nodes
Coherence resonance and discharge time reliability in neurons and neuronal models
On the road to invariant recognition: Explaining tradeoff and morph properties of cells in inferotemporal cortex using multiple-scale task-sensitive attentive learning
Insights on the role of external globus pallidus in controlling absence seizures
Memories as bifurcations: Realization by collective dynamics of spiking neurons under stochastic inputs
Efficient learning rate adaptation based on hierarchical optimization approach
A limit-cycle self-organizing map architecture for stable arm control
Bayesian neural networks for classification: how useful is the evidence framework?
Phase portraits as movement primitives for fast humanoid robot control
Unsupervised BCM projection pursuit algorithms for classification of simulated radar presentations
An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria
Interpretable facial landmark detection by multi-expert collaborative uncertainty-aware deep networks
Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning
Face identification using one spike per neuron: resistance to image degradations
Periodicity and dissipativity for memristor-based mixed time-varying delayed neural networks via differential inclusions
Learning with recurrent networks and constant synaptic strengths
PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator
Gossip-based distributed stochastic mirror descent for constrained optimization
SAC-BL: A hypothesis testing framework for unsupervised visual anomaly detection and location
GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks
Incorrect Application of Yilmaz-Poli (2022) Initialisation Method in dePater-Mitici 2023 paper entitled "A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers"
Stable, oscillatory, and chaotic regimes in the dynamics of small neural networks with delay
Error-probability noise benefits in threshold neural signal detection
Blind source separation in the presence of weak sources
Distributional generative adversarial imitation learning with reproducing kernel generalization
New conditioned stimulus trace circuit for the rabbit's nictitating membrane response
Gateway identity and spatial remapping in a combined grid and place cell attractor
New support vector algorithms with parametric insensitive/margin model
Adaptive Diversity Induced Reweighting for long-tailed classification
A regularized kernel CCA contrast function for ICA
Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning
Emotional balances in experimental consumer choices
Cellular, synaptic and network effects of neuromodulation
A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics
GazeForensics: DeepFake detection via gaze-guided spatial inconsistency learning
Effective learning in recurrent max-min neural networks
A model of dopamine modulated cortical activation
Multimodal emotional state recognition using sequence-dependent deep hierarchical features
Dynamic analysis of periodic solution for high-order discrete-time Cohen-Grossberg neural networks with time delays
ACSL: Adaptive correlation-driven sparsity learning for deep neural network compression
Selective training of feedforward artificial neural networks using matrix perturbation theory
Set-membership filtering for complex networks with constraint communication channels
Kinetic simulation of signal transduction system in hippocampal long-term potentiation with dynamic modeling of protein phosphatase 2A
Interactions between causal models, theories, and social cognitive development
Split quaternion nonlinear adaptive filtering
Some numerical aspects of the training problem for feed-forward neural nets
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation
Self-organizing subspace clustering for high-dimensional and multi-view data
Real-time stylistic prediction for whole-body human motions
Long-term Cognitive Network-based architecture for multi-label classification
A feed-forward network for input that is both categorical and quantitative
Commonsense reasoning in Conposit, a quasi-connectionist register-array model
Neuronal networks with spontaneous, correlated bursting activity: Theory and simulations
Space, time and learning in the hippocampus: How fine spatial and temporal scales are expanded into population codes for behavioral control
Relational local electroencephalography representations for sleep scoring
Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks
Teacher-student complementary sample contrastive distillation
Exploring hyperspectral anomaly detection with human vision: A small target aware detector
Image processing and pattern recognition in ultrasonograms by backpropagation
Deterministic learning-based neural identification and knowledge fusion
Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection
A self-organising network that grows when required
Mode combinability: Exploring convex combinations of permutation aligned models
Modeling human target reaching with an adaptive observer implemented with dynamic neural fields
Attention-enabled gated spiking neural P model for aspect-level sentiment classification
Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases
Transfer learning for motor imagery based brain-computer interfaces: A tutorial
A self-learning cognitive architecture exploiting causality from rewards
Decoding natural images from evoked brain activities using encoding models with invertible mapping
Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems
Goal-oriented inference of environment from redundant observations
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems
A neural network architecture for noise prediction
GNNRL-smoothing: A prior-free reinforcement learning model for mesh optimization
Resilient fixed-time stabilization of switched neural networks subjected to impulsive deception attacks
Nonparallel support vector regression model and its SMO-type solver
Constructing large-scale cortical brain networks from scalp EEG with Bayesian nonnegative matrix factorization
Statistical analysis of large-scale neuronal recording data
Sensitivity - Local index to control chaoticity or gradient globally -
How does non-random spontaneous activity contribute to brain development?
Associative memories with short-range, higher order couplings
Evidence of scaling regimes in the hopfield dynamics of whole brain model
Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data
A neurodynamic optimization approach to supervised feature selection via fractional programming
Feedback error learning of movement by multi-layer neural network
Modified Hebbian learning for curve and surface fitting
Self-attention learning network for face super-resolution
Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454]
Self-architectural knowledge distillation for spiking neural networks
Forgetting memristor based STDP learning circuit for neural networks
Learning instrumental variable representation for debiasing in recommender systems
Incomplete graph learning: A comprehensive survey
Towards zero-shot human-object interaction detection via vision-language integration
Transformations of sigma-pi nets: obtaining reflected functions by reflecting weight matrices
Fixed-time synchronization of delayed Cohen-Grossberg neural networks based on a novel sliding mode
Improving the combination of results in the ensembles of prototype selectors
Using Spatio-temporal Correlations to Learn Invariant Object Recognition
Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem
Deceiving question-answering models: A hybrid word-level adversarial approach
Not every sample is efficient: Analogical generative adversarial network for unpaired image-to-image translation
Hippocampal mechanisms for the context-dependent retrieval of episodes
Neural network approximation: Three hidden layers are enough
On the periodic dynamics of a class of time-varying delayed neural networks via differential inclusions
GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series
Visual context learning based on textual knowledge for image-text retrieval
PeNet : A feature excitation learning approach to advertisement click-through rate prediction
Feature-based intelligent models for optimisation of percussive drilling
Self-organisation in Kohonen's SOM
Assessing cognitive alignment in different types of dialog by means of a network model
Learning temporal regularized spatial-aware deep correlation filter tracking via adaptive channel selection
Robust graph structure learning under heterophily
GRAND: GAN-based software runtime anomaly detection method using trace information
INN/ENNS/JNNS - Membership Applic. Form
Probabilistic DHP adaptive critic for nonlinear stochastic control systems
Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems
Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network