yusuke1997/dblp-id-title huggingface dataset:
Finding intrinsic rewards by embodied evolution and constrained reinforcement learning
Nested neural circuits, multi-level memory and learning by selection
Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks
pRAM layout optimisation
Cross-view motion consistent self-supervised video inter-intra contrastive for action representation understanding
On the Computational Power of Recurrent Neural Networks for Structures
Chimera states in hybrid coupled neuron populations
Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme
OpenSim: A Flexible Distributed Neural Network Simulator with Automatic Interactive Graphics
Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting
Associative List Memory
LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning
Improving transferability of adversarial examples via statistical attribution-based attacks
The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode
Accelerating deep neural network training with inconsistent stochastic gradient descent
Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays
Subspace-based support vector machines for pattern classification
Language and emotions: Emotional Sapir-Whorf hypothesis
Neural-network-based event-triggered adaptive secure fault-tolerant containment control for nonlinear multi-agent systems under denial-of-service attacks
Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt
A Computational Model for Color Constancy by Separating Reflectance and Illuminant Edges within a Scene
Clustering behavior in a three-layer system mimicking olivo-cerebellar dynamics
Spiking neural P systems with multiple channels
Almost periodic solutions for a memristor-based neural networks with leakage, time-varying and distributed delays
Attention modulation of neural tuning through peak and base rate in correlated firing
Neurodynamic approaches for sparse recovery problem with linear inequality constraints
Low-rank discrete multi-view spectral clustering
Pre- to post-contrast medical image synthesis with outline-guide accelerate diffusion model
Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
A spiking network model of the cerebellum for predicting movements with diverse complex spikes
DILC-ESAE: Data-Info envelope stacked autoencoder on correlation among samples rather than themselves
Learning, planning, and control in a monolithic neural event inference architecture
Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing
Scaling up minimum enclosing ball with total soft margin for training on large datasets
The vitals for steady nucleation maps of spontaneous spiking coherence in autonomous two-dimensional neuronal networks
GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures
Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks
Connectionist inference models
Democracy in neural nets: Voting schemes for classification
Active sensing with artificial neural networks
The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse
A multilayer self-organizing feature map for range image segmentation
Corrigendum to: "Using social information to guide action: Infants' locomotion over slippery slopes" [Neural Networks 23 (8-9) (2010) 1033-1042]
Segmentation free shared weight networks for automatic vehicle detection
Fast convergence rates of deep neural networks for classification
A broad class of discrete-time hypercomplex-valued Hopfield neural networks
An Online Support Vector Machine Algorithm for Dynamic Social Network Monitoring
A learning rule of neural networks via simultaneous perturbation and its hardware implementation
Progressive fusion networks with adaptive graph structure learning for cancer subtype classification
Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control
Joint noise detection and L2,p-norm metric in least squares twin SVM for robust multiclass classification
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
A neural network for 500 word vocabulary word spotting using non-uniform units
Emergence of low noise frustrated states in E/I balanced neural networks
Sparse subspace clustering for data with missing entries and high-rank matrix completion
Robust stability analysis of a class of neural networks with discrete time delays
Deep reinforcement learning guided graph neural networks for brain network analysis
Analysis of the IJCNN 2011 UTL challenge
FE-Net: Feature enhancement segmentation network
Event-triggered synchronization strategy for complex dynamical networks with the Markovian switching topologies
SPLASH: Learnable activation functions for improving accuracy and adversarial robustness
Cost-sensitive multi-label learning with positive and negative label pairwise correlations
Continual low-rank scaled dot-product attention
Generative convolution layer for image generation
How to teach neural networks to mesh: Application on 2-D simplicial contours
Adversarial perturbation and defense for generalizable person re-identification
Automata complete computation with Hodgkin-Huxley neural networks composed of synfire rings
DiffMLP: A diffusion-based multi-hop link prediction framework in knowledge graphs
Enhancing signed graph neural networks through curriculum-based training
Speed invariant speech recognition using variable velocity delay lines
A PDP system for paraphrasing routine knowledge vignettes
Trainable fusion rules. II. Small sample-size effects
Elman topology with sigma-pi units: An application to the modeling of verbal hallucinations in schizophrenia
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols
Incomplete multi-view clustering via efficient anchor tensor recovery framework
Crowding in humans is unlike that in convolutional neural networks
Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems
A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion
P2ED: A four-quadrant framework for progressive prompt enhancement in 3D interactive medical imaging segmentation
Solving the linear interval tolerance problem for weight initialization of neural networks
Reachable set estimation and stochastic sampled-data exponential synchronization of Markovian jump neural networks with time-varying delays
Neuroinformatics: Databases, tools, and computational modeling for studying the nervous system
CRaDLe: Deep code retrieval based on semantic Dependency Learning
Continual growth and a transition
Prediction of cancer drug response based on heterogeneous graph neural networks and multi-omics data
IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection
Inductive reasoning with type-constrained encoding for emerging entities
A control model of the movement of attention
Bio-inspired two-stage network for efficient RGB-D salient object detection
Batch and median neural gas
Switching event-triggered control for global stabilization of delayed memristive neural networks: An exponential attenuation scheme
A portable clustering algorithm based on compact neighbors for face tagging
Dynamic response and transfer function of social systems: A neuro-inspired model of collective human activity patterns
Human interaction behavior modeling using Generative Adversarial Networks
Autonomous collision-avoiding for multi-UAVs in complex dynamic environments: An event-triggered PPO approach with LSTM-attention integration
Robust visual question answering via polarity enhancement and contrast
Distributed model of control of saccades by superior colliculus and cerebellum
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks
TRKM: Twin restricted kernel machines for classification and regression
Stable concurrent synchronization in dynamic system networks
A neural network algorithm for semi-supervised node label learning from unbalanced data
Intellectual property protection for neural networks
Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction
Function approximation on non-Euclidean spaces
Person identification using fusion of iris and periocular deep features
A collective neurodynamic penalty approach to nonconvex distributed constrained optimization
How active perception and attractor dynamics shape perceptual categorization: A computational model
Multilingual part-of-speech tagging with weightless neural networks
Modeling the generation of output by the cerebellar nuclei
A compact network learning model for distribution regression
Storing temporal sequences
Implicit and explicit representations
Interneural delay modification synchronizes biologically plausible neural networks
Online dynamic ensemble deep random vector functional link neural network for forecasting
1-norm support vector novelty detection and its sparseness
On the quality of ART1 text clustering
Spatio-temporal motifs 'remembered' in neuronal networks following profound hypothermia
Integration of stereo-vision and optical flow using markov random fields
INFANT neural controller for adaptive sensory-motor coordination
Incorporation of Long-Range Feedback in Neural Networks Under Stability Conditions
Feedforward Hebbian learning with nonlinear output units: a Lyapunov approach
Computational intelligence in earth and environmental sciences
fastiSSM: Fast inference of state space model with online model approximation in frequency-domain
A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data
TF-BERT: Tensor-based fusion BERT for multimodal sentiment analysis
Goal-based action selection and utility-based action bias
Dynamic pattern recognition of coordinated biological motion
CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer
Tensor ring rank determination using odd-dimensional unfolding
Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors
A hybrid learning network for shift-invariant recognition
RCVQA: Visual question answering model based on reading comprehension
Putting a bug in ML: The moth olfactory network learns to read MNIST
On the Kolmogorov neural networks
HLGNet: High-Light Guided Network for low-light instance segmentation with spatial-frequency domain enhancement
StochCA: A novel approach for exploiting pretrained models with cross-attention
Matching performance of binary correlation matrix memories
Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation
Unsupervised domain adaptive segmentation algorithm based on two-level category alignment
A new approach to the stability analysis of continuous-time distributed consensus algorithms
Semi-physical neural modeling for linear signal restoration
Monte Carlo Ensemble Neural Network for the diagnosis of Alzheimer's disease
Proactive and privacy-Preserving defense for DNS over HTTPS via federated AI attestation (PAFA-DoH)
New criterion of asymptotic stability for delay systems with time-varying structures and delays
Life-long learning Cell Structures--continuously learning without catastrophic interference
Towards understanding sparse filtering: A theoretical perspective
Estimation of neural connections from partially observed neural spikes
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications
Effect of network architecture on burst and spike synchronization in a scale-free network of bursting neurons
Moving in time: Simulating how neural circuits enable rhythmic enactment of planned sequences
Feedforward, feedback and inhibitory connections in primate visual cortex
Visiome: neuroinformatics research in vision project
Period-adding bifurcation and chaos in a hybrid Hindmarsh-Rose model
Temporal binding as an inducer for connectionist recruitment learning over delayed lines
Recurrent stochastic configuration networks with block increments
Neural network surgery: Combining training with topology optimization
MMC-CS: Multi-branch multi-stage contrastive learning for self-supervised compressed sensing
A model with an intrinsic property of learning higher order correlations
Nucleotide-level circRNA-RBP binding sites prediction based on hybrid encoding scheme and enhanced feature extraction
Comparison of simulated annealing and mean field annealing as applied to the generation of block designs
Tracking functions of cortical networks on a millisecond timescale
Transition dynamics and optogenetic controls of generalized periodic epileptiform discharges
Dual-focus memory contrastive learning for active domain adaptation
Dual branch neural network with dynamic learning mechanism for P300-based brain-computer interfaces
Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity
Output sampling synchronization and state estimation in flux-charge domain memristive neural networks with leakage and time-varying delays
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons
Detecting cells using non-negative matrix factorization on calcium imaging data
GuidedDE: Targeted black-box adversarial attacks via confidence-guided mutation on automatic speech recognition systems
A memristive fuzzy neural network with applications to classification task: A programmable circuit system
Unsupervised graph-level representation learning with hierarchical contrasts
Dynamic graph transformation with multi-task learning for enhanced spatio-temporal traffic prediction
On Fault Tolerant Training of Feedforward Neural Networks
Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram
Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks
LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis
Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection
A class-specific mean vector-based weighted competitive and collaborative representation method for classification
Stability of large-scale probabilistic Boolean networks via network aggregation
Minimal sufficient views: A DNN model making predictions with more evidence has higher accuracy
Neuro-genetic system for optimization of GMI samples sensitivity
Modeling limit order trading with a continuous action policy for deep reinforcement learning
Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering
Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment
Neural circuits for learning context-dependent associations of stimuli
Massively parallel WRNN reconstructors for spectrum recovery in astronomical photometrical surveys
Learning and generation of goal-directed arm reaching from scratch
The contribution of vertical and horizontal connections to the receptive field center and surround in V1
Revisiting the problem of learning long-term dependencies in recurrent neural networks
Self-organization of a one-dimensional Kohonen network with quantized weights and inputs
Neuropsychological correlates of decision-making in ambiguous and risky situations
Towards cortex sized artificial neural systems
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations
Affective neural networks and cognitive learning systems for big data analysis
Reinforcement learning with via-point representation
Emergence of symbolic behavior from brain like memory with dynamic attention
A physical system approach to recognition memory for spatially transformed faces
LeanKAN: a parameter-lean Kolmogorov-Arnold network layer with improved memory efficiency and convergence behavior
Using social information to guide action: Infants' locomotion over slippery slopes
Incremental learning algorithm for large-scale semi-supervised ordinal regression
Solving the N-bit parity problem using neural networks
Quantum optimization for training support vector machines
Empirically derived model of the role of sleep in associative learning and recuperative processes
Emotion recognition using hierarchical spatial-temporal learning transformer from regional to global brain
A bottom up approach towards the acquisition and expression of sequential representations applied to a behaving real-world device: Distributed Adaptive Control III
Enhancing multivariate spatio-temporal forecasting via complete dynamic causal modeling
A novel information geometric approach to variable selection in MLP networks
Multitasking attractor networks with neuronal threshold noise
A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task
Morphology of neural networks in the mammalian visual system
Global almost sure self-synchronization of Hopfield neural networks with randomly switching connections
LCFFNet: A Lightweight Cross-scale Feature Fusion Network for human pose estimation
HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects
Frequency-dependent organization of the brain's functional network through delayed-interactions
A method for designing the internal representation of neural networks and its application to network synthesis
Zero-shot 3D anomaly detection via online voter mechanism
(ω,c)-Asymptotically periodic oscillation of cellular neural networks on time scales with leakage delays and mixed time-varying delays
Convolutional fusion network for monaural speech enhancement
Sparsity-control ternary weight networks
Ensuring spatial scalability with temporal-wise spatial attentive pooling for temporal action detection
MPCNet: Compressed multi-view video restoration via motion-parallax complementation network
Neuromodulated attention and goal-driven perception in uncertain domains
Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning
Multilayer preceptron training using optimal estimation
Configurable hardware integrate and fire neurons for sparse approximation
Scalp EEG functional connection and brain network in infants with West syndrome
New results on exponential synchronization of memristor-based neural networks with discontinuous neuron activations
Maximum Decentral Projection Margin Classifier for High Dimension and Low Sample Size problems
Global attraction and stability for Cohen-Grossberg neural networks with delays
Two soft relatives of learning vector quantization
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins
Neural network for model based recognition: Simulation results
Fractal sampling grids for holographic optical interconnections
Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model
Learning representations for object classification using multi-stage optimal component analysis
An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks
A proximal neurodynamic model for a system of non-linear inverse mixed variational inequalities
Adaptive response organizer network for space-time patterns in low level vision
Speaker separation in realistic noise environments with applications to a cognitively-controlled hearing aid
Applications of neural network methods to the processing of earth observation satellite data
Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
Additive neural networks and periodic patterns
Learning model-level explanations of graph neural networks via subgraph order embedding space
Self-supervised pre-trained neural network for quantum natural language processing
Multi-source adaptation joint kernel sparse representation for visual classification
DCTCNet: Sequency discrete cosine transform convolution network for visual recognition
Weighted discriminative collaborative competitive representation for robust image classification
Modeling learnable electrical synapse for high precision spatio-temporal recognition
Higher-order neurodynamical equation for simplex prediction
Task-augmented cross-view imputation network for partial multi-view incomplete multi-label classification
Dual prototypes for adaptive pre-trained model in class-incremental learning
Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks
Biological plausibility of synaptic associative memory models
Binary classification from N-Tuple Comparisons data
Few-shot remote sensing image scene classification based on multiscale covariance metric network (MCMNet)
Noise-enhanced convolutional neural networks
Projective ART for clustering data sets in high dimensional spaces
PAX: A mixed hardware/software simulation platform for spiking neural networks
Interactive image data labeling using self-organizing maps in an augmented reality scenario
Robust stability analysis of quaternion-valued neural networks with time delays and parameter uncertainties
Using curvature information to improve back-propagation
Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis
Global exponential stability of delayed competitive neural networks with different time scales
Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond
Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine
A maze learning comparison of Elman, long short-term memory, and Mona neural networks
Proposed algorithm for smart grid DDoS detection based on deep learning
An analog implementation of biologically plausible neurons using CCII building blocks
A neural model of selective attention and object segmentation in the visual scene: An approach based on partial synchronization and star-like architecture of connections
Learning dynamic graph representations through timespan view contrasts
Practical selection of SVM parameters and noise estimation for SVM regression
A physics-embedded dual-learning imaging framework for electrical impedance tomography
Neural belief network
Fractional derivative based weighted skip connections for satellite image road segmentation
Self-organized hierarchical structure in a plastic network of chaotic units
Associative memory neural networks with concatenated vectors and nonzero diagonal terms
Local coupled feedforward neural network
Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data
Equivalent-input-disturbance estimator-based event-triggered control design for master-slave neural networks
A note on computing with Kolmogorov Superpositions without iterations
RotInv-PCT: Rotation-Invariant Point Cloud Transformer via feature separation and aggregation
More signals matter to detection: Integrating language knowledge and frequency representations for boosting fine-grained aircraft recognition
Robust stability of stochastic fuzzy delayed neural networks with impulsive time window
Learning a trajectory using adjoint functions and teacher forcing
Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment
A silicon model of early visual processing