yusuke1997/dblp-id-title huggingface dataset:
Global changes in entropy and in spatial organisation of activity in a network of formal neurons with inhibitory interactions
Human-Object Interaction detection via Global Context and Pairwise-level Fusion Features Integration
Receptive Field Map Development by Anti-Hebbian Learning
Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks
Multilayer one-class extreme learning machine
TGIN: Document-level event extraction with two-phase graph inference network
Generalized heterophily graph data augmentation for node classification
Zero-shot sketch-based remote sensing image retrieval based on cross-modal fusion
Moving sampling physics-informed neural networks induced by moving mesh PDE
Associative retrieval and restoration of data in neural networks
Cycle consistent network for end-to-end style transfer TTS training
Self-guided disentangled representation learning for single image dehazing
Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]
Restoration and enhancement on low exposure raw images by joint demosaicing and denoising
Metastable associative network models of dream sleep
Quantum neural networks model based on swap test and phase estimation
Synchronization of discrete-time neural networks with delays and Markov jump topologies based on tracker information
Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays
Adaptive graph convolutional clustering network with optimal probabilistic graph
A cortical model of winner-take-all competition via lateral inhibition
Competing network models and problem-solving
Designing a deep brain stimulator to suppress pathological neuronal synchrony
PM2.5 concentration modeling and prediction by using temperature-based deep belief network
More refined superbag: Distantly supervised relation extraction with deep clustering
Threshold-dependent Limit Cycles in a Nonlinear Network Model
Desknet: The dermatology expert system with knowledge-based network
PFENet: Towards precise feature extraction from sparse point cloud for 3D object detection
Labeling edges with a linear network: An integration of low-level vision modules
Disturbance-immune weight sharing for neural architecture search
MINIGE-MNER: A multi-stage interaction network inspired by gene editing for multimodal named entity recognition
DroneAttention: Sparse weighted temporal attention for drone-camera based activity recognition
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks
Proving Hardness of Neural Network Training Problems
Adaptive algorithms for first principal eigenvector computation
Neural network positioning and classification of handwritten characters
Statistical efficiency of adaptive algorithms
Generating-shrinking algorithm for learning arbitrary classification
Retrieval properties of analog neural networks and the nonmonotonicity of transfer functions
Fourier feature-enhanced multi-layer residual stacking network: A novel multiscale modeling approach for physics-informed neural networks
Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation
Electrophysiological classes of neocortical neurons
Quantum mixed-state self-attention network
Emerging dynamics in neuronal networks of diffusively coupled hard oscillators
Reducing bias in source-free unsupervised domain adaptation for regression
Towards out-of-distribution detection using gradient vectors
The role of individual neuron ion conductances in the synchronization processes of neuron networks
Configural representations in transverse patterning with a hippocampal model
Learning generalizable agents via self-supervised exploration
Novel density-based and hierarchical density-based clustering algorithms for uncertain data
Fully corrective gradient boosting with squared hinge: Fast learning rates and early stopping
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world
Attention-based investigation and solution to the trade-off issue of adversarial training
Extraction of bouton-like structures from neuropil calcium imaging data
Probabilistic perceptrons
Priors-assisted dehazing network with attention supervision and detail preservation
Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery
Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems
A collaborative neurodynamic approach to global and combinatorial optimization
Continuous Boltzmann machine with rotor neurons
A modular neural network for enhancement of cross-polar radar targets
Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination
A start-stop points CenterNet for wideband signals detection and time-frequency localization in spectrum sensing
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments
A trace ratio maximization approach to multiple kernel-based dimensionality reduction
Some comparisons of complexity in dictionary-based and linear computational models
Fast Gaussian kernel learning for classification tasks based on specially structured global optimization
GABA inhibition modulates NMDA-R mediated spike timing dependent plasticity (STDP) in a biophysical model
An Extension of the Back-Propagation Algorithm to Complex Numbers
Support matrix machine: A review
NLS: An accurate and yet easy-to-interpret prediction method
Few-shot image classification based on class-irrelevant feature decoupling graph neural network
Curriculum-guided divergence scheduling improves single-cell clustering robustness
An augmented CRTRL for complex-valued recurrent neural networks
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks
DctViT: Discrete Cosine Transform meet vision transformers
Sequence homology score-based deep fuzzy network for identifying therapeutic peptides
SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection
Associative memory in networks of spiking neurons
A pulsed neural network model of bursting in the basal ganglia
Manifold regularized matrix completion for multi-label learning with ADMM
Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization
Set selection dynamical system neural networks with partial memories, with applications to Sudoku and KenKen puzzles
Signed network representation with novel node proximity evaluation
Reference-aware image harmonization
Global bifurcation structure of chaotic neural networks and its application to traveling salesman problems
A comfortable brain-interface to video displays
A local Echo State Property through the largest Lyapunov exponent
Design and analysis of gradient-based differential neural network for solving time-varying quadratic problems with inequality constraint
Response to letter by K. Gurney
A new mechanical approach to handle generalized Hopfield neural networks
L3Net: Localized and Layered Reparameterization for incremental learning
On the relations between discriminant analysis and multilayer perceptrons
Hybrid extreme rotation forest
Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers
FAST: Foreground-aware active self-training for domain adaptive object detection
A model of operant learning based on chaotically varying synaptic strength
Complex associative memory
A classification of user-generated content into consumer decision journey stages
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning
Experimental study of electrical FitzHugh-Nagumo neurons with modified excitability
The Self-Organizing Relationship (SOR) network employing fuzzy inference based heuristic evaluation
HG-PerCon: Cross-view contrastive learning for personality prediction
Evolving Spiking Neural Networks for online learning over drifting data streams
Biologically plausible deep learning - But how far can we go with shallow networks?
A learning algorithm for adaptive canonical correlation analysis of several data sets
Deep neural network concepts for background subtraction: A systematic review and comparative evaluation
A recurrent neural network for adaptive beamforming and array correction
AutoAMS: Automated attention-based multi-modal graph learning architecture search
A neural bridge from syntactic to statistical pattern recognition
Agm-Net: Attention-guided masking denoising anomaly location network
A one-layer recurrent neural network for constrained nonconvex optimization
SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration
An improved time series prediction by applying the layer-by-layer learning method to FIR neural networks
Few-shot image generation with reverse contrastive learning
Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning
Hierarchical kernel spectral clustering
Cerebellar development transcriptome database (CDT-DB): Profiling of spatio-temporal gene expression during the postnatal development of mouse cerebellum
Error correcting memorization learning for noisy training examples
Towards a neural network based therapy for hallucinatory disorders
Pinning cluster synchronization in an array of coupled neural networks under event-based mechanism
Edge feature enhancement: Generating adversarial edge perturbations for perterm infant movement recognition
Invariant object recognition with the adaptive resonance (ART) network
Dynamic event-triggered H∞ state estimation for discrete-time complex-valued memristive neural networks with mixed time delays
Bounds on the number of hidden units in binary-valued three-layer neural networks
Machine learning based sample extraction for automatic speech recognition using dialectal Assamese speech
Stock performance modeling using neural networks: A comparative study with regression models
Unifying and revisiting Sharpness-Aware Minimization with noise-injected micro-batch scheduler for efficiency improvement
A lightweight dual-student mean teacher semi-supervised semantic segmentation method for skin lesions
New support vector-based design method for binary hierarchical classifiers for multi-class classification problems
Global exponential stability of impulsive high-order BAM neural networks with time-varying delays
Convergence and divergence in neural networks: Processing of chaos and biological analogy
Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis
Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control
Stability and passivity analysis of delayed neural networks via an improved matrix-valued polynomial inequality
Generating action descriptions from statistically integrated representations of human motions and sentences
An efficient encoder-decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data
BegoniaGPT: Cultivating the large language model to be an exceptional K-12 English teacher
Self-supervised anomaly detection in computer vision and beyond: A survey and outlook
Inhibitory connections in the assembly neural network for texture segmentation
Motion-Aware Video Frame Interpolation
Adaptive PID control based on orthogonal endocrine neural networks
Limited Rank Matrix Learning, discriminative dimension reduction and visualization
A model of smooth pursuit in primates based on learning the target dynamics
Emergence of integrated behaviors through direct optimization for homeostasis
Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column
QTypeMix: Enhancing multi-agent cooperative strategies through heterogeneous and homogeneous value decomposition
Reprint of "Two-stage sparse coding of region covariance via Log-Euclidean kernels to detect saliency"
Global asymptotic stability to a generalized Cohen-Grossberg BAM neural networks of neutral type delays
Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties
Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher
R-ELMNet: Regularized extreme learning machine network
Knowledge-Preserving continual person re-identification using Graph Attention Network
Neural networks are useful tools for drug design
Sparse kernel learning with LASSO and Bayesian inference algorithm
Generalizability and robustness evaluation of attribute-based zero-shot learning
Abnormalities of brain dynamics based on large-scale cortical network modeling in autism spectrum disorder
CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks
Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation
Advancing neural network calibration: The role of gradient decay in large-margin Softmax optimization
Implicit adversarial data augmentation and robustness with Noise-based Learning
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data
A neural approach to the Turing Test: The role of emotions
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline
Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks
Task-Dependent Learning of Attention
Approximate Bayesian MLP regularization for regression in the presence of noise
Constraint optimization neural network for adaptive early vision
A neural network capable of forming associations by example
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision
Bridging the gap between ratings and true user opinions with dynamic review alignment for personalized recommendation
A model of contour extraction including multiple scales, flexible inhibition and attention
Neural electrical activity and neural network growth
A large VLSI Hopfield network for pattern recognition problems
Recognizing human-object interactions in videos with the supervision of natural language
Using afterimages to test neural mechanisms for perceptual filling-in
Global robust asymptotic stability of variable-time impulsive BAM neural networks
Two-phase collaborative model compression training for joint pruning and quantization
Asynchronous adaptive event-triggered fault detection for delayed Markov jump neural networks: A delay-variation-dependent approach
Multi-relational graph convolutional networks: Generalization guarantees and experiments
Meta-learning, social cognition and consciousness in brains and machines
Stability and instability of a neuron network with excitatory and inhibitory small-world connections
On Hopfield neural networks
A connectionist learning algorithm with provable generalization and scaling bounds
Efficient correntropy-based multi-view clustering with anchor graph embedding
Control of exploitation-exploration meta-parameter in reinforcement learning
Improved exponential convergence result for generalized neural networks including interval time-varying delayed signals
An axiomatic approach to intrinsic dimension of a dataset
On convergence properties of the brain-state-in-a-convex-domain
A modified back-propagation method to avoid false local minima
Multi-view graph pooling with coarsened graph disentanglement
Contrast sensitivity function in deep networks
Communication and knowledge sharing in human-robot interaction and learning from demonstration
A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval
Understanding autoencoders with information theoretic concepts
Organization of face and object recognition in modular neural network models
SSSLN:Multivariate Time Series Forecasting via Collaborative Dynamic Graph Learning
Serial processing in human movement production
Online subspace learning and imputation by Tensor-Ring decomposition
Observations on characterization of training errors in supervised learning using gradient-based rules
Rethinking softmax in incremental learning
Sensor encoding using lateral inhibited self-organized cellular neural networks
Synchronization-induced spike termination in networks of bistable neurons
Tensor dictionary-based heterogeneous transfer learning to study emotion-related gender differences in brain
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems
Prediction of functional neural circuits in caenorhabditis elegans based on overlapping community detection
Explicitly diverse visual question generation
Generation of low-gamma oscillations in a GABAergic network model of the striatum
A New Approach to the Analysis of Multidimensional Neuronal Activity: Markov Random Fields
Operation-aware Neural Networks for user response prediction
Modulation of spike and burst rate in a minimal neuronal circuit with feed-forward inhibition
High-speed imaging of electrical activity: Watching the brain think on MTV/2
Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory-motor adaptation
A new approach to exponential stability analysis of neural networks with time-varying delays
A new approach for finding the global minimum of error function of neural networks
A statistical framework for non-negative matrix factorization based on generalized dual divergence
sEntIMeldCL: Enhancing explicit knowledge via Uniform-based Implicit Contrastive Mechanism for Aspect-Level Sentiment Analysis
Integral representations of shallow neural network with rectified power unit activation function
Leveraging spiking neural networks for topic modeling
Multi-scale modeling of altered synaptic plasticity related to Amyloid β effects
Consistency of multilayer perceptron regression estimators
Improved mapping of information distribution across the cortical surface with the support vector machine
Spacecraft attitude determination using neural star pattern recognition
Flexible unsupervised feature extraction for image classification
An unsupervised EEG decoding system for human emotion recognition
Neural networks for consciousness
Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting
Towards global neural network abstractions with locally-exact reconstruction
Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature
Multiple one-shot image generation via deep structure reshuffle
A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures
Hydra: Multi-head low-rank adaptation for parameter efficient fine-tuning
Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs
Reduced-complexity Convolutional Neural Network in the compressed domain
Robust long-tailed recognition with distribution-aware adversarial example generation
Recent results in emergent visual segmentation
Synchronized oscillations during cooperative feature linking in a cortical model of visual perception
A self-supervised network for image denoising and watermark removal
A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles
Interpretable inverse iteration mean shift networks for clustering tasks
Learning double balancing representation for heterogeneous dose-response curve estimation
The novelty of the "Accordion Grating Illusion"
Graph explicit pooling for graph-level representation learning
Finite-time cluster synchronization of multi-weighted fractional-order coupled neural networks with and without impulsive effects
Pair-wise or high-order? A self-adaptive graph framework for knowledge graph embedding
Leaderless synchronization of coupled neural networks with the event-triggered mechanism
The constraint based decomposition (CBD) training architecture
A Physics-Informed Neural Network framework for solving PDEs on point clouds via surface reconstruction
Disturbance and uncertainty rejection performance for fractional-order complex dynamical networks
A motivationally-based simulation of performance degradation under pressure
Leveraging maximum entropy and correlation on latent factors for learning representations
Uncertainty-aware prototypical learning for anomaly detection in medical images
Ovarian cancer diagnosis by hippocampus and neocortex-inspired learning memory structures
A model of computation in neocortical architecture
Abductive reasoning with recurrent neural networks
Dual-modality adaptation in vision-language models for continual learning
Estimating global phase synchronization by quantifying multivariate mutual information and detecting network structure
Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network
A classification method of motor imagery based on brain functional networks by fusing PLV and ECSP
Noise cancellation of memristive neural networks
Discrete combinatorial circuits emerging in neural networks: A mechanism for rules of grammar in the human brain?
Boundedness and convergence analysis of weight elimination for cyclic training of neural networks
Improved fixed-time stability analysis and applications to synchronization of discontinuous complex-valued fuzzy cellular neural networks
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting
Fixed-time pinning-controlled synchronization for coupled delayed neural networks with discontinuous activations
Neural network approximation of continuous functionals and continuous functions on compactifications
Spike-based strategies for rapid processing
A silicon model of vertebrate retinal processing
Locally linear SVMs based on boundary anchor points encoding
TWSVR: Regression via Twin Support Vector Machine
Glomerular microcircuits in the olfactory bulb
Application of growing hierarchical SOM for visualisation of network forensics traffic data
The learning problem of multi-layer neural networks
Recent advances in physical reservoir computing: A review
Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators
Neuro-dynamic programming-based event-triggered fault tolerant control for nonlinear systems with multiple faults
The error-bounded descriptional complexity of approximation networks
Depth map guided triplet network for deepfake face detection
Naming the neuron in vain
Integrated codec decomposed Transformer for long-term series forecasting
Self-organizing neural networks for universal learning and multimodal memory encoding
Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
Learning dynamic spatial-temporal regularized correlation filter tracking with response deviation suppression via multi-feature fusion
Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis
Exclusive style removal for cross domain novel class discovery
Hybrid impulsive and switching Hopfield neural networks with state-dependent impulses
Finite-time optimal control for MMCPS via a novel preassigned-time performance approach
Connectivity and thought: The influence of semantic network structure in a neurodynamical model of thinking
Model-based neural networks
Family-based continual learning for multi-domain pattern analysis in federated frameworks with GCN and ViT
Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation
Feature vectors for road vehicle scene classification
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task
An adaptive neural net controller with visual inputs
MHDBN: Mamba-based hybrid dual-branch network for multi-focus image fusion