yusuke1997/dblp-id-title huggingface dataset:
Binaural cross-correlation and auditory localization in the barn owl: a theoretical study
On the capabilities of neural networks using limited precision weights
An accurate pixel-Level explainable approach for CNNs and its application
Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations
A linear feature space for simultaneous learning of spatio-spectral filters in BCI
Modular neural networks for non-linearity recovering by the Haar approximation
Stochastic resonance in the hippocampal CA3-CA1 model: a possible memory recall mechanism
Stability analysis of static recurrent neural networks using delay-partitioning and projection
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture
Enhancing the transferability of adversarial attacks via Scale Enriching
Intermittent boundary stabilization of stochastic reaction-diffusion Cohen-Grossberg neural networks
Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline
Embedding Space Allocation with Angle-Norm Joint Classifiers for few-shot class-incremental learning
Community-aware user profile enrichment in folksonomy
Motion perception based on ON/OFF channels: A survey
An improved analysis of the Rademacher data-dependent bound using its self bounding property
Artificial neural networks as approximators of stochastic processes
Context meta-reinforcement learning via neuromodulation
Event-based adaptive fixed-time optimal control for saturated fault-tolerant nonlinear multiagent systems via reinforcement learning algorithm
Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks
Global stabilization analysis of inertial memristive recurrent neural networks with discrete and distributed delays
Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns
Robust support vector machine-trained fuzzy system
Batch self-organizing memory neural network for continual supervised learning
Strengthening transferability of adversarial examples by adaptive inertia and amplitude spectrum dropout
TaskDrop: A competitive baseline for continual learning of sentiment classification
A continuation method for image registration based on dynamic adaptive kernel
Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification
Epistemic uncertainty quantification in deep learning classification by the Delta method
Potential region attention network for RGB-D salient object detection
Global synchronization of coupled delayed memristive reaction-diffusion neural networks
Warped density ratio estimation
Early Alzheimer's disease classification via structure and feature-based graph attention network from multi-center data
Framework for Segmented threshold ℓ0 gradient approximation based network for sparse signal recovery
Instabilities in attractor networks with fast synaptic fluctuations and partial updating of the neurons activity
Directional intermodular coupling enriches functional complexity in biological neuronal networks
A weakly-supervised oriented object detector : Knowledge-based dropblock and unified regression network
Decomposing memory: functional assignments and brain traffic in paired word associate learning
LUFormer : A luminance-informed localized transformer with frequency augmentation for nighttime flare removal
Runaway synaptic modification in models of cortex: Implications for Alzheimer's disease
Connectionist interpretation of the association between cognitive dissonance and attention switching
Understanding the message passing in graph neural networks via power iteration clustering
Graph Convolution Networks with manifold regularization for semi-supervised learning
Non-native acoustic modeling for mispronunciation verification based on language adversarial representation learning
Modeling functional resting-state brain networks through neural message passing on the human connectome
A novel kernel-based maximum a posteriori classification method
Initializing photonic feed-forward neural networks using auxiliary tasks
ExSpliNet: An interpretable and expressive spline-based neural network
Disturbance rejection for multi-weighted complex dynamical networks with actuator saturation and deception attacks via hybrid-triggered mechanism
A unified gradient regularization method for heterogeneous graph neural networks
Federated learning using model projection for multi-center disease diagnosis with non-IID data
Location-aware convolutional neural networks for graph classification
Boosting integral-based human pose estimation through implicit heatmap learning
Online algorithm for the self-organizing map of symbol strings
Approximation capabilities of neural networks on unbounded domains
Erratum to "Applications of neural network methods to the processing of earth observation satellite data" [Neural Netw. (2) (2006) 168-177]
A multivariate extension of mutual information for growing neural networks
Back propagation learning with trinary quantization of weight updates
A neural network classifier with disjunctive fuzzy information
A full-function memristive associative memory neural network circuit based on multi-frequency SRDP rule
AESeg: Affinity-enhanced segmenter using feature class mapping knowledge distillation for efficient RGB-D semantic segmentation of indoor scenes
The face pattern identification by back-propagation learning procedure
Reverse graph self-attention for target-directed atomic importance estimation
State-flipped control design for the stabilization of probabilistic Boolean control networks
Training a 3-node neural network is NP-complete
Determining the number of centroids for CMLP network
Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm
Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs
Electronic nose based tea quality standardization
Feature selection and multi-kernel learning for sparse representation on a manifold
Adaptive closed-loop paradigm of electrophysiology for neuron models
An adaptive decoupling learning system informed by the brain functional structure for EEG decoding
Subspace-based predictive control of Parkinson's disease: A model-based study
Sampled-data synchronization for fuzzy inertial cellular neural networks and its application in secure communication
Maplets for correspondence-based object recognition
Maximum likelihood neural networks for sensor fusion and adaptive classification
Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction
The optimal encodings for biased association in linear associative memories
Erratum to: Associative learning in early vision [Neural Networks 17 (5-6) 823-832]
Networks with trainable amplitude of activation functions
Pulse propagation networks: A neural network model that uses temporal coding by action potentials
Manifold-based Shapley explanations for high dimensional correlated features
Non-empty box counting algorithm for calculating fractal dimensions and its applications in EEG analysis
A class of doubly stochastic shift operators for random graph signals and their boundedness
Dualistic geometry of the manifold of higher-order neurons
Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants
Multiple elastic modules for visual pattern recognition
Prediction of arm trajectory from the neural activities of the primary motor cortex with modular connectionist architecture
Driving scene image Dehazing model based on multi-branch and multi-scale feature fusion
Extreme learning machine for a new hybrid morphological/linear perceptron
Complex-valued soft-log threshold reweighting for sparsity of complex-valued convolutional neural networks
Implications of synaptic biophysics for recurrent network dynamics and active memory
A spiking neural network based on the basal ganglia functional anatomy
Comparative study using inverse ontology cogency and alternatives for concept recognition in the annotated National Library of Medicine database
CLPNets: Coupled Lie-Poisson neural networks for multi-part Hamiltonian systems with symmetries
Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering
A continuous input RAM-based stochastic neural model
Singular values-driven automated filter pruning
A neural network model of canine intrathoracic ganglia regulating the heart
Node classification in the heterophilic regime via diffusion-jump GNNs
Dual vigilance fuzzy adaptive resonance theory
Synergistic learning with multi-task DeepONet for efficient PDE problem solving
Associative memory with a sparse encoding mechanism for storing correlated patterns
Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems
A loop-based neural architecture for structured behavior encoding and decoding
A novel swarm budorcas taxicolor optimization-based multi-support vector method for transformer fault diagnosis
Alleviating noise memorization for adversarially robust few-shot learning
Candidate region aware nested named entity recognition
A neural model of the saccade generator in the reticular formation
Dissecting the effectiveness of deep features as metric of perceptual image quality
Neural dynamics of adaptive timing and temporal discrimination during associative learning
Neural network models with higher order neural interactions
Spiking Neural Networks and online learning: An overview and perspectives
Investigating fine- and coarse-grained structural correspondences between deep neural networks and human object image similarity judgments using unsupervised alignment
Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach
Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality
A temporal-spectral fusion transformer with subject-specific adapter for enhancing RSVP-BCI decoding
Recursive self-organizing maps
Vertex points are not enough: Monocular 3D object detection via intra- and inter-plane constraints
Applications of the self-organising map to reinforcement learning
Hardware friendly deep reservoir computing
Estimating uncertainty from feed-forward network based sensing using quasi-linear approximation
Adaptive fixed-time output synchronization for complex dynamical networks with multi-weights
A multivalued bidirectional associative memory operating on a complex domain
Experimental data-efficient reinforcement learning with an ensemble of surrogate models
Chaotic Potts Spin Model for Combinatorial Optimization Problems
Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction
Clustering ensembles of neural network models
TCDformer: A transformer framework for non-stationary time series forecasting based on trend and change-point detection
Unsupervised foveal vision neural architecture with top-down attention
Learning as natural selection in a sensori-motor being
Hyperspectral anomaly detection with self-supervised anomaly prior
Building an adaptive interface via unsupervised tracking of latent manifolds
Illumination-aware divide-and-conquer network for improperly-exposed image enhancement
Granular ball twin support vector machine with Universum data
Prescribed performance adaptive neural event-triggered control for switched nonlinear cyber-physical systems under deception attacks
The pedunculopontine nucleus as an additional target for deep brain stimulation
Statistical basis of nonlinear hebbian learning and application to clustering
Distributed support vector machine in master-slave mode
BGAT-CCRF: A novel end-to-end model for knowledge graph noise correction
Cross-view self-supervised heterogeneous graph representation learning
VLSI implementation of neural networks based on PN sequences
Evolutional development of a multilevel neural network
Class-incremental learning with Balanced Embedding Discrimination Maximization
Offline-to-online reinforcement learning with efficient unconstrained fine-tuning
A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method
Modularity, evolution, and the binding problem: a view from stability theory
Multistability of memristive Cohen-Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays
Nyström-aware approximations for matrix-based Rényi's entropy
An adaptive neural network: Application to character recognition on x-ray films
Unsupervised spectral mapping and feature selection for hyperspectral anomaly detection
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization
Orthogonal least squares based complex-valued functional link network
Bidirectional visual-tactile cross-modal generation using latent feature space flow model
Deep-learned spike representations and sorting via an ensemble of auto-encoders
Approximation of dynamical systems by continuous time recurrent neural networks
Domain-aware self-prompting for cross-domain sequential recommendations with natural language explanations
E2TP: Element to tuple prompting improves aspect sentiment tuple prediction
Independent component analysis based on marginal density estimation using weighted Parzen windows
Non-linear perceptual multi-scale network for single image super-resolution
Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes
Life regression based patch slimming for vision transformers
Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument
Exact coexistence and locally asymptotic stability of multiple equilibria for fractional-order delayed Hopfield neural networks with Gaussian activation function
A neural model of how the brain represents and compares multi-digit numbers: spatial and categorical processes
Temporal shuffling for defending deep action recognition models against adversarial attacks
A new view of the primary visual cortex
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition
Enhanced tensor low-rank representation learning for multi-view clustering
Predictive coding as a model of the V1 saliency map hypothesis
A Wasserstein perspective of Vanilla GANs
Learning to activate logic rules for textual reasoning
Assessing interactions among neuronal systems using functional neuroimaging
Real-time data-efficient portrait stylization via geometric alignment
Heterogeneous context interaction network for vehicle re-identification
A nonlinear layered model of cortical dynamics
Determination of hopfield associative memory characteristics using a single parameter
Fuzzy-set-based hierarchical networks for information fusion in computer vision
Response: on using the Poincaré polynomial for calculating the V-C dimension of neural networks
Double quantization of the regressor space for long-term time series prediction: method and proof of stability
Robust dimensionality reduction via feature space to feature space distance metric learning
A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation
A Regularity Condition of the Information Matrix of a Multilayer Perceptron Network
Reliable evaluation of neural networks
Enhancing intelligent transportation systems with a more efficient model for long-term traffic predictions based on an attention mechanism and a residual temporal convolutional network
Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics
Modelling divided visual attention with a winner-take-all network
Oscillatory synchronization model of attention to moving objects
How do children learn to follow gaze, share joint attention, imitate their teachers, and use tools during social interactions?
A Gaussian potential function network with hierarchically self-organizing learning
HVIOnet: A deep learning based hybrid visual-inertial odometry approach for unmanned aerial system position estimation
Incremental training of first order recurrent neural networks to predict a context-sensitive language
IremulbNet: Rethinking the inverted residual architecture for image recognition
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
On the theoretical expressive power of graph transformers for solving graph problems
Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach
A generic plug & play diffusion-based denosing module for medical image segmentation
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism
The robustness-fidelity trade-off in Grow When Required neural networks performing continuous novelty detection
Automatic speech recognition using a predictive echo state network classifier
Manifold optimization-based analysis dictionary learning with an ℓ1∕2-norm regularizer
Spontaneous symmetry-breaking energy functions, orientation selective cortical cells, and hypercolumnar cell assemblies
Reliable prediction intervals with directly optimized inductive conformal regression for deep learning
Robust head pose estimation via supervised manifold learning
Convergence of competitive activation models based on virtual lateral inhibition
MTCM: Multi-context temporal consistent modeling for referring video object segmentation
An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting
Enhancing adversarial transferability via transformation inference
Comments on "Absolute exponential stability of a class of neural networks with unbounded delay"
Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model
Generative adversarial networks with mixture of t-distributions noise for diverse image generation
A biologically plausible model of astrocyte-neuron networks in random and hub-driven connectivity
KnowFlow: Empowering decision-making on networks with knowledge-streamlined agent
MIFS: An adaptive multipath information fused self-supervised framework for drug discovery
Self-organising continuous attractor networks with multiple activity packets, and the representation of space
Decoding split-frequency representation for cross-scale tracking
Recurrent radial basis function networks for adaptive noise cancellation
DropAGG: Robust Graph Neural Networks via Drop Aggregation
Bayesian robot system identification with input and output noise
Dual-balancing for multi-task learning
Neural network architecture for adaptive system modeling and control
Delay-dependent Lurie-Postnikov type Lyapunov-Krasovskii functionals for stability analysis of discrete-time delayed neural networks
Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2
Exploiting inherent relationships in RNN architectures
ColorSketchNet: Unifying color, sketch and texture for modality-agnostic multi-modal person re-identification
A computational knowledge-based model for emulating human performance in the Iowa Gambling Task
A theory of capacity and sparse neural encoding
SQGE: Support-query prototype guidance and enhancement for few-shot relational triple extraction
Towards the networks of the brain: from brain imaging to consciousness
Quantity versus diversity: Influence of data on detecting EEG pathology with advanced ML models
Growing cell structures--A self-organizing network for unsupervised and supervised learning
FedPCL-CDR: A federated prototype-based contrastive learning framework for privacy-preserving cross-domain recommendation
Region stability analysis and tracking control of memristive recurrent neural network
A canonical correlation neural network for multicollinearity and functional data
Quantifying the separability of data classes in neural networks
Controlling chaos in a chaotic neural network
A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection
Constructing general partial differential equations using polynomial and neural networks
An effective knowledge graph entity alignment model based on multiple information
Neural extraction of multiscale essential structure for network dismantling
Sampled-data control-based stabilization of fuzzy inertial quaternion-valued delayed neural networks with parameter uncertainties
Theoretical analysis for solution of support vector data description
An error tolerant environment of multilayer perceptrons with controlled learning
Modular network SOM
Contrastive Graph Representation Learning with Adversarial Cross-View Reconstruction and Information Bottleneck
DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults
Adaptive robust principal component analysis
Convergence results for the EM approach to mixtures of experts architectures
Pre-attentive visual selection
A density-based competitive data stream clustering network with self-adaptive distance metric
Synergetic learning for unknown nonlinear H∞ control using neural networks
Neural network modelling of eye compensation during off-vertical-axis rotation
Classification of temporal trajectories by continuous-time recurrent nets
Signal modeling and prediction using neural networks
The extended piecewise quadratic neural network
Fast discrete cross-modal hashing with semantic consistency
Frequency compensated diffusion model for real-scene dehazing
t-soft update of target network for deep reinforcement learning
MsDUNE: A multi-scale masked temporal fusion framework for speaker-independent lipreading via Dirichlet uncertainty estimation
DECNet: Dense embedding contrast for unsupervised semantic segmentation
Experimentally optimal v in support vector regression for different noise models and parameter settings
Adaptive penalty-based neurodynamic approach for nonsmooth interval-valued optimization problem
Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory
Stability Analysis of Learning Algorithms for Blind Source Separation
CutCat: An augmentation method for EEG classification
Dual-regression model for visual tracking
CLAD: A realistic Continual Learning benchmark for Autonomous Driving
A synthesis procedure for associative memories based on space-varying cellular neural networks
Exemplar versus prototype network models for concept representation
WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions
Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks
Delay-induced primary rhythmic behavior in a two-layer neural network
Extension neural network and its applications
k-hop graph neural networks
NoAS-DS: Neural optimal architecture search for detection of diverse DNA signals
A smooth gradient approximation neural network for general constrained nonsmooth nonconvex optimization problems
Retrieval In Decoder benefits generative models for explainable complex question answering
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification
A feature extraction unsupervised neural network for an environmental data set
Multi-source fully test-time adaptation
Don't fear peculiar activation functions: EUAF and beyond
A neural architecture for visual motion perception: Group and element apparent motion
An artificial chaotic spiking neuron inspired by spiral ganglion cell: Paralleled spike encoding, theoretical analysis, and electronic circuit implementation
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks
Compositional feature augmentation for improving multi-class classification