yusuke1997/dblp-id-title huggingface dataset:
Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder
Multiscroll hidden attractor in memristive autapse neuron model and its memristor-based scroll control and application in image encryption
Revisiting low-homophily for graph-based fraud detection
State space neural network. Properties and application
Enhanced deep unrolling networks for snapshot compressive hyperspectral imaging
Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning
A consideration of invertebrate central pattern generators as computational data bases
On redundancy in neural architecture: dynamics of a simple module-based neural network and initial-state independence
Canonical dependency analysis based on squared-loss mutual information
Change-point detection in time-series data by relative density-ratio estimation
A descriptive method to evaluate the number of regimes in a switching autoregressive model
LLM-led vision-spectral fusion: A zero-shot approach to temporal fruit image classification
Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture
Region-guided attack on the segment anything model
Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning
Space-variant active vision: Definition, overview and examples
Investigating the transferring capability of capsule networks for text classification
The dynamic wave expansion neural network model for robot motion planning in time-varying environments
U-SPDNet: An SPD manifold learning-based neural network for visual classification
Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches
Advances in clustering and visualization of time series using GTM through time
Robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses
Enhancing concept alignment with explanatory interactive disentangled representation learning
Multiple semantic prompt for rehearsal-free continual learning
SSTE: Syllable-Specific Temporal Encoding to FORCE-learn audio sequences with an associative memory approach
Communication-efficient distributed learning with Local Immediate Error Compensation
Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence
A connectomics-driven analysis reveals novel characterization of border regions in mouse visual cortex
A new local-global approach for classification
TEP-BS: Public opinion evolution prediction based on stochastic competitive learning-taking the hot case of platform X in september 2024 as an example
Steepest descent with momentum for quadratic functions is a version of the conjugate gradient method
Generalization performance of Gaussian kernels SVMC based on Markov sampling
Adams-based hierarchical features fusion network for image dehazing
Stretchy binary classification
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models
Boosting random subspace method
Mobile robot visual mapping and localization: A view-based neurocomputational architecture that emulates hippocampal place learning
Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks
Recognition and segmentation of connected characters with selective attention
Modelling the perceptual segregation of double vowels with a network of neural oscillators
Dynamic comprehensive difficulty knowledge cells based on KAN network and stable learning for knowledge tracing
Significant vector learning to construct sparse kernel regression models
Network model of ocular dominance column formation: Analytical results
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features
Bio-inspired spiking neural network for nonlinear systems control
Deep adaptive fusion network with multimodal neuroimaging information for MDD diagnosis: an open data study
CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
Robust self-organizing fuzzy neural network with data immunity evaluation for industrial process modeling
Dendritic calcium signaling in cerebellar Purkinje cell
Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models
Singularities in mixture models and upper bounds of stochastic complexity
Improved disturbance observer-based fixed-time adaptive neural network consensus tracking for nonlinear multi-agent systems
Active learning of causal structures with deep reinforcement learning
DCST: Dual Cross-Supervision for Transformer-based Unsupervised Domain Adaptation
HSFF-Net: Hierarchical spectral-feature fusion network for deepfake detection and localization
Modeling belief systems with scale-free networks
MetalGAN: Multi-domain label-less image synthesis using cGANs and meta-learning
A universal adversarial policy for text classifiers
Algebraic geometrical methods for hierarchical learning machines
Dynamics of a Winner-Take-All Neural Network
A patch-based convolutional neural network for remote sensing image classification
Appearance variation adaptation tracker using adversarial network
QMEDNet: A quaternion-based multi-order differential encoder-decoder model for 3D human motion prediction
Generalization analysis of adversarial pairwise learning
Adaptive decoupling-fusion in Siamese network for image classification
Affinity and class probability-based fuzzy support vector machine for imbalanced data sets
Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding
Fast Clustered Radial Basis Function Network as an adaptive predictive controller
LAP: Latency-aware automated pruning with dynamic-based filter selection
A neural model of sequential movement planning and control of eye movements: Item-Order-Rank working memory and saccade selection by the supplementary eye fields
XOR has no local minima: A case study in neural network error surface analysis
Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method
An analysis of training and generalization errors in shallow and deep networks
Compressing 3DCNNs based on tensor train decomposition
Pseudo-inverse control in biological systems: a learning mechanism for fixation stability
A hybridization of distributed policy and heuristic augmentation for improving federated learning approach
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control
Feature-decorrelation adaptive contrastive learning for knowledge-aware recommendation
Approximating a solution of the s-t max-cut problem with a deterministic annealing algorithm
The Magnitude of the Diagonal Elements in Neural Networks
Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines
Multilayer perceptron tumour diagnosis based on chromatography analysis of urinary nucleosides
Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection
Deconvolutional neural network for image super-resolution
Eigen value based loss function for training attractors in iterated autoencoders
A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures
The fractional correction rule: a new perspective
An on-line algorithm for creating self-organizing fuzzy neural networks
Enriching query semantics for code search with reinforcement learning
CALM: Categorizing and learning module
Multimodal cross-scale context clusters for classification of mental disorders using functional and structural MRI
EEG dipole source localization with information criteria for multiple particle filters
Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays
Maximum likelihood adaptive neural controller
Local structure-aware graph contrastive representation learning
High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans
Multi-view scene matching with relation aware feature perception
Dynamic graph representation learning with disentangled information bottleneck
Transitions between network states may cause both equipotentiality and localization of function in cerebral cortex
On the sparseness of 1-norm support vector machines
Universal approximation by radial basis function networks of Delsarte translates
A new pipeline with ultimate search efficiency for neural architecture search
Transfer of memory trace of cerebellum-dependent motor learning in human prism adaptation: A model study
Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions
Adaptive event-triggered extended dissipative synchronization of delayed reaction-diffusion neural networks under deception attacks
Schematic memory persistence and transience for efficient and robust continual learning
On the use of interaction error potentials for adaptive brain computer interfaces
Optimal design of regularization term and regularization parameter by subspace information criterion
A simple control policy for achieving minimum jerk trajectories
A bio-inspired stimulator to desynchronize epileptic cortical population models: A digital implementation framework
Beyond homophily in spatial-temporal traffic flow forecasting
Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks
Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities
An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion
SAM-GAN: Self-Attention supporting Multi-stage Generative Adversarial Networks for text-to-image synthesis
Modeling parietal-premotor interactions in primate control of grasping
SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction
The co-adaptive neural network approach to the Euclidean Travelling Salesman Problem
Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting
DyFiLM: A framework to handle the distribution shifts on dynamic graphs with hypernetworks
Modeling the BOLD correlates of competitive neural dynamics
A robust outlier control framework for classification designed with family of homotopy loss function
An excellent year and a transition
Information estimators for weighted observations
Color-resolved light field shaping via diffractive-electronic U-shape network with wavelength-aware virtual branching
Neural network-based practical prescribed time adaptive tracking control for nonlinear networked control systems under deception attacks
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets
Multimodal neural networks better explain multivoxel patterns in the hippocampus
A new EEG synchronization strength analysis method: S-estimator based normalized weighted-permutation mutual information
Twisted convolutional networks (TCNs): Enhancing feature interactions for non-spatial data classification
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation
Optimal firing rate estimation
A stochastic reinforcement learning algorithm for learning real-valued functions
Stochasticity from function - Why the Bayesian brain may need no noise
Synchronization of fractional-order complex-valued neural networks with time delay
SFT-SGAT: A semi-supervised fine-tuning self-supervised graph attention network for emotion recognition and consciousness detection
An architecture entropy regularizer for differentiable neural architecture search
Boosting lightweight single image super-resolution via global prior feature
Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details
Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding
Moving objects appear to slow down at low contrasts
Multi-task heterogeneous graph learning on electronic health records
Learning Markov random walks for robust subspace clustering and estimation
Large-scale data exploration with the hierarchically growing hyperbolic SOM
Nonlinear tensor train format for deep neural network compression
GAE-Net: A gait-assisted enhancement network for video-based person re-identification
MADALINE Rule II: A training algorithm for neural networks
Graph convolutional network with tree-guided anisotropic message passing
Discriminative margin-sensitive autoencoder for collective multi-view disease analysis
Learning parametric dynamic movement primitives from multiple demonstrations
Searching to extrapolate embedding for out-of-graph node representation learning
Hue geometry and horizontal connections
A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design
ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning
The feature extraction of resting-state EEG signal from amnestic mild cognitive impairment with type 2 diabetes mellitus based on feature-fusion multispectral image method
Modeling attention to salient proto-objects
Neural nets tested by psychophysical methods
Controllability and optimal control of a temporal Boolean network
FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning
Global stability of neural networks with distributed delays
Lorentzian neural nets
Adaptive neural tree exploiting expert nodes to classify high-dimensional data
On latent dynamics learning in nonlinear reduced order modeling
Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making
The Maximum Vector-Angular Margin Classifier and its fast training on large datasets using a core vector machine
SLTRN: Sample-level transformer-based relation network for few-shot classification
TENet: Targetness entanglement incorporating with multi-scale pooling and mutually-guided fusion for RGB-E object tracking
Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision
Pseudo-inverse linear discriminants for the improvement of overall classification accuracies
Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller
TCGAN: Convolutional Generative Adversarial Network for time series classification and clustering
Simplified PCNet with robustness
Adaptive latent similarity learning for multi-view clustering
Continuous learning in single-incremental-task scenarios
Effects of asymmetric coupling and self-coupling on metastable dynamical transient rotating waves in a ring of sigmoidal neurons
Handwritten Hangul recognition using a modified neocognitron
Promises and perils of using Transformer-based models for SE research
Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network
Dormant key: Unlocking universal adversarial control in text-to-image models
Barrier-critic-disturbance approximate optimal control of nonzero-sum differential games for modular robot manipulators
A functional system-informed graph neural network framework to quantify interpretable brain dysfunction in ASD
Fully automated biomedical image segmentation by self-organized model adaptation
Two-stage sparse coding of region covariance via Log-Euclidean kernels to detect saliency
Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption
Edge computing on TPU for brain implant signal analysis
Maxi-Min discriminant analysis via online learning
A semi-looped functional for sampled-data synchronization of delayed neural networks considering communication delay
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation
Strangeness-driven exploration in multi-agent reinforcement learning
Information processing in dendrites: II. Information theoretic complexity
Enhanced image prior for unsupervised remoting sensing super-resolution
How feedback inhibition shapes spike-timing-dependent plasticity and its implications for recent Schizophrenia models
Exploring phase-amplitude coupling from primary motor cortex-basal ganglia-thalamus network model
Cerebral cortical parallel processing using a metric tensor
Hadoop neural network for parallel and distributed feature selection
Relaxed stability criteria of delayed neural networks using delay-parameters-dependent slack matrices
Efficient and accurate compound scaling for convolutional neural networks
Approximation theory and feedforward networks
A deterministic annealing neural network for convex programming
Putative strategies of scene segmentation in monkey visual cortex
Semantic segmentation in adverse scenes with fewer labeled images
Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment
Invariant template matching in systems with spatiotemporal coding: A matter of instability
Event-triggered H∞ state estimation for semi-Markov jumping discrete-time neural networks with quantization
PathMLP: Smooth path towards high-order homophily
Response to letter by Gaudiano et al
Cognitive conflict without explicit conflict monitoring in a dynamical agent
Snap-drift neural network for self-organisation and sequence learning
HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
Effects of reward expectancy on sequential eye movements in monkeys
MSFI: Multi-timescale spatio-temporal features integration in spiking neural networks
EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification
ST-GMLP: A concise spatial-temporal framework based on gated multi-layer perceptron for traffic flow forecasting
Lagrangian support vector regression via unconstrained convex minimization
Adaptive token selection for scalable point cloud transformers
Relation between weight size and degree of over-fitting in neural network regression
Cross-domain zero-shot learning for enhanced fault diagnosis in high-voltage circuit breakers
Adversarial text-to-image synthesis: A review
Efficient IntVec: High recognition rate with reduced computational cost
A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning
Similarity preserving low-rank representation for enhanced data representation and effective subspace learning
C2BG-Net: Cross-modality and cross-scale balance network with global semantics for multi-modal 3D object detection
Designing a stable feedback control system for blind image deconvolution
Robust self-localisation and navigation based on hippocampal place cells
A meta-learning approach to the regularized learning - Case study: Blood glucose prediction
Computing with networks of spiking neurons on a biophysically motivated floating-gate based neuromorphic integrated circuit
A more efficient global optimization algorithm based on Styblinski and Tang
The second anniversary of Neural Networks
A model of analogue K -winners-take-all neural circuit
Chaos control and synchronization, with input saturation, via recurrent neural networks
Synchronization of complex networks with time-varying delay of unknown bound via delayed impulsive control
Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification
Infants' ability to parse continuous actions: Further evidence
Subrecursive neural networks
Fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks
Shallow and ensemble deep randomized neural network for anomaly detection
Distributed k-winners-take-all via multiple neural networks with inertia
Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations
Automatic basis selection techniques for RBF networks
Combining Hopfield neural networks, with applications to grid-based mathematics puzzles
A global learning algorithm for a RBF network
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences
STaRNet: A spatio-temporal and Riemannian network for high-performance motor imagery decoding
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks
Uncorrelated feature encoding for faster image style transfer
NFMPAtt-Unet: Neighborhood Fuzzy C-means Multi-scale Pyramid Hybrid Attention Unet for medical image segmentation
Using samples with label noise for robust continual learning
Incremental learning of feature space and classifier for face recognition
Counterfactual causal inference for robust visual question answering
Deep data consistency: A fast and robust diffusion model-based solver for inverse problems
Chaos may enhance expressivity in cerebellar granular layer
Recurrent neural networks can be trained to be maximum a posteriori probability classifiers
Real-time human action classification using a dynamic neural model
VFF-Net: Evolving forward-forward algorithms into convolutional neural networks for enhanced computational insights
LAGO on the unit sphere
Merging weighted SVMs for parallel incremental learning
Salient object detection based on multi-scale contrast
Dynamic decomposition graph convolutional neural network for SSVEP-based brain-computer interface
H∞ synchronization of delayed neural networks via event-triggered dynamic output control
Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming
The emergence of saliency and novelty responses from Reinforcement Learning principles
CRESPR: Modular sparsification of DNNs to improve pruning performance and model interpretability
Artificial memories: Capacity, basis rate and inference
Theory of self-organization of cortical maps: Mathematical framework
The Bifurcating Neuron Network 2: an analog associative memory
Memristor-based circuit design of interweaving mechanism of emotional memory in a hippocamp-brain emotion learning model
Experimental stability analysis of neural networks in classification problems with confidence sets for persistence diagrams
Fixed-time synchronization of delayed multiple inertial neural network with reaction-diffusion terms under cyber-physical attacks using distributed control and its application to multi-image encryption
Improved local learning rule for information maximization and related applications
An optoelectronic connectionist machine utilizing liquid crystal spatial light modulators
A novel transformer autoencoder for multi-modal emotion recognition with incomplete data
Quantized minimum error entropy with fiducial points for robust regression
Near-optimal deep neural network approximation for Korobov functions with respect to Lp and H1 norms
Partition-level fusion induced multi-view Subspace Clustering with Tensorial Geman Rank
Equations of states in singular statistical estimation
Function approximation in inhibitory networks
QTTNet: Quantized tensor train neural networks for 3D object and video recognition
Multi-view heterogeneous graph learning with compressed hypergraph neural networks
Exploring quantum neural networks for binary classification on MNIST dataset: A swap test approach
Miper-MVS: Multi-scale iterative probability estimation with refinement for efficient multi-view stereo
Sharpening semantic gradient in a planarized sentence representation
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP
Frequency domain analysis for bifurcation in a simplified tri-neuron BAM network model with two delays
Group variable selection via ℓp, 0 regularization and application to optimal scoring