yusuke1997/dblp-id-title huggingface dataset:
Convergent and oscillatory activation dynamics for cascades of neural nets with nearest neighbor competitive or cooperative interactions
Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction
Noise suppression in training examples for improving generalization capability
A spinal circuit model with asymmetric cervical-lumbar layout controls backward locomotion and scratching in quadrupeds
Analysis of medical images super-resolution via a wavelet pyramid recursive neural network constrained by wavelet energy entropy
Balanced influence maximization in social networks based on deep reinforcement learning
Statistical neurodynamics of associative memory
Anchor Graph Learning with Double Noise Removal for Multi-View Clustering
GlobalSR: Global context network for single image super-resolution via deformable convolution attention and fast Fourier convolution
Neural Networks special issue on Artificial Intelligence and Brain Science
Efficient self-organizing multilayer neural network for nonlinear system modeling
A neural model of decision-making by the superior colicullus in an antisaccade task
TATrack: Target-oriented adaptive vision transformer for UAV tracking
Disentangle the group and individual components of functional connectome with autoencoders
Hierarchical classification with a competitive evolutionary neural tree
Spatial and frequency information fusion transformer for image super-resolution
Global exponential stability of neural networks with non-smooth and impact activations
Evaluating deep learning architectures for Speech Emotion Recognition
Application of structured support vector machine backpropagation to a convolutional neural network for human pose estimation
ART I and pattern clustering algorithms
Heterogeneous graph convolutional network for multi-view semi-supervised classification
Convergence analysis of a simple minor component analysis algorithm
Abstracts for: 15/9-10
Part 2 - The firings of many neurons and their density; the neural network its connections and field of firings
Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations
A novel cross-domain fault diagnosis method for multi-condition industrial processes based on meta-domain adaptation with progressive meta-learning
Practicing in quiz, assessing in quiz: A quiz-based neural network approach for knowledge tracing
Tolerant Self-Distillation for image classification
Decoupled echo state networks with lateral inhibition
SemiDDM-weather: A semi-supervised learning framework for all-in-one adverse weather removal
Finite-time synchronization of quaternion-valued neural networks with delays: A switching control method without decomposition
Understanding neural network through neuron level visualization
Detecting contingencies: An infomax approach
Repetitive contrastive learning enhances Mamba's selectivity in time series prediction
A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level
Exploiting multiple sensory modalities in brain-machine interfaces
Optimal control by least squares support vector machines
Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception
Balancing user preferences by social networks: A condition-guided social recommendation model for mitigating popularity bias
Improving Differentiable Architecture Search via self-distillation
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning
GraphGuard: An adaptive approach for restoring accuracy in backdoor-compromised GNNs
A new pattern classifier motivated by brain maps
Impact of network topology on decision-making
Aggregating intrinsic information to enhance BCI performance through federated learning
BYY harmony learning, structural RPCL, and topological self-organizing on mixture models
Multiscroll hopfield neural network with extreme multistability and its application in video encryption for IIoT
Hermite-type neural network operators: derivative-informed frameworks for functional neuroimaging and signal processing
Perceptual Contrastive Generative Adversarial Network based on image warping for unsupervised image-to-image translation
A triple-branch hybrid dynamic-static alignment strategy for vision-language tasks
A neuro-fuzzy framework for inferencing
Ensemble Neural Networks (ENN): A gradient-free stochastic method
Essential rate for approximation by spherical neural networks
Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization
Dynamics of compartmental model neurons
Central mechanisms for force and motion - Towards computational synthesis of human movement
Least square neural network model of the crude oil blending process
Independent component analysis: algorithms and applications
ACCNet: Adaptive cross-frequency coupling graph attention for EEG emotion recognition
SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal
Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision Applications
An Efficient Mapping of Fuzzy ART onto a Neural Architecture
Forecasting the behavior of multivariate time series using neural networks
Efficient Biologically-based Pattern-recognizing Networks
Dynamical Neural Networks that Ensure Exponential Identification Error Convergence
Teleoperation for a ball-catching task with significant dynamics
Real-time fine finger motion decoding for transradial amputees with surface electromyography
Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems
Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms
A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton
An adaptive variable-parameter dynamic learning network for solving constrained time-varying QP problem
Optimization of rotationally invariant object recognition in a neural network
An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization
Complete stability of delayed recurrent neural networks with Gaussian activation functions
Local minima in hierarchical structures of complex-valued neural networks
Temporal-Kernel Recurrent Neural Networks
Special issue on robotics and neuroscience
Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study
Initializing back propagation networks with prototypes
A new approach to stability of neural networks with time-varying delays
Active learning for semi-supervised clustering based on locally linear propagation reconstruction
Introduction: Neural networks for analysis of complex scientific data: astronomy and geosciences
Endpoint-aware audio-visual speech enhancement utilizing dynamic weight modulation based on SNR estimation
Robust sound-guided image manipulation
Structure-preserving contrastive graph clustering with dual-channel label alignment
Neuronal integration mechanisms have little effect on spike auto-correlations of cortical neurons
Exponential synchronization of time-varying delayed complex-valued neural networks under hybrid impulsive controllers
Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment
Tradeoff analysis between time cost and energy cost for fixed-time synchronization of discontinuous neural networks
Enhanced covertness class discriminative universal adversarial perturbations
Modeling coherence by ordering paragraphs using pointer networks
Organization of a Latent Space structure in VAE/GAN trained by navigation data
Neural assemblies: technical issues, analysis, and modeling
Contractivity of a Markov operator on the space of normalised positive distributions
Functionally specialized spectral organization of the resting human cortex
Fine-tuning large language models in federated learning with fairness-aware prompt selection
Multi-view parallel convolutional network for organ segmentation in mediastinal region on CT images
Improved region proposal network for enhanced few-shot object detection
A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization
Unambiguous granularity distillation for asymmetric image retrieval
Saliency model based on a neural population for integrating figure direction and organizing Border Ownership
A probabilistic neural network for earthquake magnitude prediction
Evolutionary robots with on-line self-organization and behavioral fitness
SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encoders
Terminal attractors in neural networks
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations
GCapNet-FSD: A heterogeneous Graph Capsule Network for Few-Shot object Detection
A modeling study suggesting how a reduction in the context-dependent input on CA1 pyramidal neurons could generate schizophrenic behavior
Fostering deep learning and beyond
A new approach to detect the coding rule of the cortical spiking model in the information transmission
Synchronization of two Hindmarsh-Rose neurons with unidirectional coupling
Perceptual grouping and the interactions between visual cortical areas
Visually guided movements: learning with modular neural maps in robotics
Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes
Multi-column deep neural network for traffic sign classification
Red alarm: Controllable backdoor attack in continual learning
Neural methods for the traveling salesman problem: Insights from operations research
Complex behavior by means of dynamical systems for an anthropomorphic robot
Reprint of: Simulation Platform: A cloud-based online simulation environment
Computational reproductions of external force field adaption without assuming desired trajectories
Social gating and pedagogy: Mechanisms for learning and implications for robotics
Dense Residual Network: Enhancing global dense feature flow for character recognition
Kernel Bayesian tensor ring decomposition for multiway data recovery
Black-box attacks on dynamic graphs via adversarial topology perturbations
Statistical estimation of the number of hidden units for feedforward neural networks
Active inference through whiskers
Attribute-based Decision Graphs: A framework for multiclass data classification
Semi-supervised non-negative matrix factorization with structure preserving for image clustering
Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples
Multi-granularity heterogeneous graph attention networks for extractive document summarization
Modeling document causal structure with a hypergraph for event causality identification
Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units
Learning generalization in simple linear discriminant networks
Dynamic linking among neural oscillators leads to flexible pattern recognition with figure-ground separation
Robust image hashing for content identification through contrastive self-supervised learning
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction
Self-supervised depth super-resolution with contrastive multiview pre-training
Learning contiguity with layered neural networks
Quantum-inspired canonical correlation analysis for exponentially large dimensional data
InA: Inhibition Adaption on pre-trained language models
Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks
Out-of-Distribution Detection via outlier exposure in federated learning
Neural networks, approximation theory, and finite precision computation
Multimodal self-supervised retinal vessel segmentation
Modeling the integration of expectations in visual search with centre-surround neural fields
Towards better text image machine translation with multimodal codebook and multi-stage training
SVE-Former: A fast fourier transformer via singular vector embedding
A novel ANN-based feature subset selection in multi-scale granular ball neighborhood decision tables
A feedforward unitary equivariant neural network
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints
Adaptive pinning cluster synchronization of a stochastic reaction-diffusion complex network
Vidsketch: Hand-drawn sketch-driven video generation with diffusion control
Complex-valued neural networks for nonlinear complex principal component analysis
Towards performance-maximizing neural network pruning via global channel attention
Blinding and blurring the multi-object tracker with adversarial perturbations
Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD
An object-oriented language for neural network simulation
Bayesian representation learning in the cortex regulated by acetylcholine
H∞ state estimation of stochastic memristor-based neural networks with time-varying delays
Signal processing for target recognition in biosonar
Variational approximation error in non-negative matrix factorization
Reservoir computing and extreme learning machines for non-linear time-series data analysis
CT-Net: Asymmetric compound branch Transformer for medical image segmentation
Memory and Learning of Sequential Patterns by Nonmonotone Neural Networks
An experimental unification of reservoir computing methods
Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet
GA-ConvE: An APT attack prediction method based on combination of graph attention network and 2D convolution
Fast generalization error bound of deep learning without scale invariance of activation functions
RePaIR: Repaired pruning at initialization resilience
Robust support vector regression in the primal
Global asymptotic stability of Hopfield neural network involving distributed delays
Fine-grained hierarchical dynamics for image harmonization
Local matrix learning in clustering and applications for manifold visualization
Estimation of neuronal dynamics based on sparse modeling
Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model
Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE)
A selection perturbative hyper-heuristic for neural architecture search
LollipopE: Bi-centered lollipop embedding for complex logic query on knowledge graph
New stability results for Takagi-Sugeno fuzzy Cohen-Grossberg neural networks with multiple delays
New theorems on global convergence of some dynamical systems
LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data
Simultaneous neural network approximation for smooth functions
Discrete State Neural Networks and Energies
Dynamics of multilayer networks in the vicinity of temporary minima
Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL
A multi-label, semi-supervised classification approach applied to personality prediction in social media
Optimizing boundary dynamics for nested named entity recognition via semantic refinement and trimming
FPGAN: Face de-identification method with generative adversarial networks for social robots
DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction
Global inhibition for selecting modes of attention
Prediction of common labels for universal domain adaptation
Improved learning algorithms for mixture of experts in multiclass classification
Evolving efficient learning algorithms for binary mappings
An efficient multi-scale learning method for image super-resolution networks
Optimal unsupervised learning
Do we really need a large number of visual prompts?
Impact of deviation from precise balance of spike-timing-dependent plasticity
Bat echolocation processing using first-spike latency coding
A small-size neural network for computing with strange attractors
Probabilistic robustness estimates for feed-forward neural networks
A multi-modal deep neural network for multi-class liver cancer diagnosis
Learning to decode human emotions with Echo State Networks
Bottom-up visual image processing probed with weighted hermite polynomials
A deterministic annealing algorithm for the minimum concave cost network flow problem
Evolved explainable classifications for lymph node metastases
Adaptive learning algorithm and its convergence analysis with complex-valued error loss network
Training nets of hardware realizable sigma-pi units
Self-organizing high-order cognitive functions in artificial agents: Implications for possible prefrontal cortex mechanisms
Closed Loop Nonlinear Process Identification Using Internally Recurrent Nets
Adaptive low-rank subspace learning with online optimization for robust visual tracking
Stabilization of complex input-output functions in neural clusters formed by synapse selection
Reweighted Alternating Direction Method of Multipliers for DNN weight pruning
Label as Equilibrium: A performance booster for Graph Neural Networks on node classification
Optimistic sequential multi-agent reinforcement learning with motivational communication
Self-Organizing Hidden Markov Model Map (SOHMMM)
Hippocampal formation-inspired probabilistic generative model
RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction
A discrete convolutional network for entity relation extraction
Nonlinear higher-order statistical decorrelation by volume-conserving neural architectures
A shape composition method for named entity recognition
Results from the Gardner-Derrida-Mottishaw theory of associative memory
Classification and comparison via neural networks
Weighted Twin Support Vector Machines with Local Information and its application
Controllable stroke-based sketch synthesis from a self-organized latent space
Hierarchical task network-enhanced multi-agent reinforcement learning: Toward efficient cooperative strategies
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks
A remark on 'On stability of nonlinear continuous-time neural networks with delays'
Manod: A multi-modal anomaly detection framework for distributed system
Prototype-guided and dynamic-aware video anomaly detection
On-line identification of nonlinear systems using Volterra polynomial basis function neural networks
Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings
Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI
Universality of unlearning
Arch-Net: Model conversion and quantization for architecture agnostic model deployment
Quantifying information and performance for flash detection in the blowfly photoreceptor
Global stability analysis in delayed Hopfield neural network models
Multi-modal sentiment recognition with residual gating network and emotion intensity attention
Effective neural network training with adaptive learning rate based on training loss
Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation
Connectome of memristive nanowire networks through graph theory
From Brains to Neural Nets to Brains
Analysing a Self-organising Algorithm
On the training of radial basis function classifiers
Leo Grady, Jonathan Polimeni, , Discrete Calculus: Applied Analysis on Graphs for Computational Science (2010) Springer 978-1-84996-289-6 $129.00
Eliminating quantization errors in classification-based sound source localization
Aspect sentiment learning for Aspect-Level Sentiment Classification
Dynamic Multi-scale Feature Integration Network for unsupervised MR-CT synthesis
Nonlinear independent component analysis: Existence and uniqueness results
Unsupervised domain adaptation with weak source domain labels via bidirectional subdomain alignment
Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation
RoSwish: A novel Rotating Swish activation function with adaptive rotation around zero
Adaptive critics for dynamic optimization
Neural associative memories with minimum connectivity
A link prediction method for multi-modal knowledge graphs based on Adaptive Fusion and Modality Information Enhancement
HMM-GDAN: Hybrid multi-view and multi-scale graph duplex-attention networks for drug response prediction in cancer
Flexibly regularized mixture models and application to image segmentation
New action editors join the journal! Five exciting special issues in the works!
Protocol-based control for semi-Markov reaction-diffusion neural networks
Minimum-cost associative processor for piecewise-hyperspherical classification
Robust open intent classification in many-shot and few-shot scenarios
Fixed/prescribed-time synchronization of BAM memristive neural networks with time-varying delays via convex analysis
Pure node selection for imbalanced graph node classification
A new method for quantifying the performance of EEG blind source separation algorithms by referencing a simultaneously recorded ECoG signal
An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers
Subgraph-level federated graph neural network for privacy-preserving recommendation with meta-learning
New study on neural networks: the essential order of approximation
Predicting Conditional Probability Densities of Stationary Stochastic Time Series
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
Trends in extreme learning machines: A review
Bridging geometry-coherent text-to-3D generation with multiview diffusion priors and Gaussian Splatting
Active learning for noisy oracle via density power divergence
Distance coding strategies based on the entorhinal grid cell system
Space-filling curves and Kolmogorov superposition-based neural networks
ADAMT: Adaptive distributed multi-task learning for efficient image recognition in Mobile Ad-hoc Networks
Towards a general neural controller for quadrupedal locomotion
HCD: A Hierarchy Constraint-Aware Neural Cognitive Diagnosis Framework
Robotics and neuroscience: A rhythmic interaction
Pattern segmentation in a binary/analog world: unsupervised learning versus memory storing
Adaptively identify and refine ill-posed regions for accurate stereo matching
Event-triggered control for input-constrained nonzero-sum games through particle swarm optimized neural networks
Impact of axonal delay on structure development in a multi-layered network
Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot
Explainable machine learning algorithm for classifying resting-state functional MRI in amyotrophic lateral sclerosis
Online classification of visual tasks for industrial workflow monitoring
The capacity of feedforward neural networks
Exploiting instance-label dynamics through reciprocal anchored contrastive learning for few-shot relation extraction
A neuromorphic model of spatial lookahead planning
Robust extraction of local structures by the minimum beta-divergence method
Jackson-type inequalities for spherical neural networks with doubling weights
Adaptive class augmented prototype network for few-shot relation extraction
BioMotion-SNN: Spiking neural network modeling for visual motion processing
Fully probabilistic control design in an adaptive critic framework
Gradient based hyperparameter optimization in Echo State Networks