yusuke1997/dblp-id-title huggingface dataset:
Multi-scale convolution enhanced transformer for multivariate long-term time series forecasting
Language and cognition
Quantum support vector machine based on regularized Newton method
Visual question answering based on local-scene-aware referring expression generation
Observer-based sliding mode control for synchronization of delayed chaotic neural networks with unknown disturbance
Marginal median SOM for document organization and retrieval
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning
Design of silicon brains in the nano-CMOS era: Spiking neurons, learning synapses and neural architecture optimization
Time Intervals Comparing Neural Network
Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems
An algebraic projection analysis for back-propagation learning
An empirical comparison of back propagation and the RDSE algorithm on continuously valued real world data
PepHarmony: a multi-view contrastive learning framework for integrated sequence and structure-based peptide representation
A Modified General Regression Neural Network (MGRNN) with new, efficient training algorithms as a robust 'black box'-tool for data analysis
Distributive properties of main overlap and noise terms in Autoassociative Memory Networks
Towards building a neural networks community
A robot model of the basal ganglia: Behavior and intrinsic processing
Enhancing image-based virtual try-on with Multi-Controlled Diffusion Models
ShiftKD: Benchmarking knowledge distillation under distribution shift
A gentle introduction to deep learning for graphs
Invariance priors for Bayesian feed-forward neural networks
Omnidirectional image super-resolution via position attention network
Predictive coding with spiking neural networks: A survey
VISAL - A novel learning strategy to address class imbalance
Enhancing Open-Set Domain Adaptation through Optimal Transport and Adversarial Learning
Mathematical conditions for adaptive control in Marr's model of the sensorimotor system
Continual learning with invertible generative models
A generalized analog implementation of piecewise linear neuron models using CCII building blocks
Emergence of ultrafast sparsely synchronized rhythms and their responses to external stimuli in an inhomogeneous small-world complex neuronal network
Equivariant nonstationary source separation
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states
Enabling deformation slack in tracking with temporally even correlation filters
Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means
MSA-LR: Enhancing multi-scale temporal dynamics in multivariate time series forecasting with low-rank self-attention
Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players
Event-driven H∞ control with critic learning for nonlinear systems
Exploring sparsity in graph transformers
Complexities of feature-based learning systems, with application to reservoir computing
Dynamic routing towards few-shot point cloud semantic segmentation
Incremental multi-subreservoirs echo state network control for uncertain aeration process
Multi-relational graph contrastive learning with learnable graph augmentation
Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication
Two-step graph propagation for incomplete multi-view clustering
Universality of reservoir systems with recurrent neural networks
Stochastic state estimation for neural networks with distributed delays and Markovian jump
Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering
Predictions on multi-class terminal ballistics datasets using conditional Generative Adversarial Networks
An adaptive reinforcement learning-based multimodal data fusion framework for human-robot confrontation gaming
Inter-module credit assignment in modular reinforcement learning
Reconstruction of natural visual scenes from neural spikes with deep neural networks
Robust learning in SpikeProp
Large-Scale Cross-Modal Hashing with Unified Learning and Multi-Object Regional Correlation Reasoning
Emotion and brain: Understanding emotions and modelling their recognition
Aspirin for migraines
Beyond multilayer perceptrons: Investigating complex topologies in neural networks
A Neural Global Workspace Model for Conscious Attention
Data smoothing regularization, multi-sets-learning, and problem solving strategies
Analysis of the frequency response of the saccadic circuit: numerical simulations
Fast multiple graphs learning for multi-view clustering
Distributed time-varying optimization control protocol for multi-agent systems via finite-time consensus approach
On the validity of memristor modeling in the neural network literature
Refining visual token sequence for efficient image captioning
Neural neZtworks in astronomy
Visual interaction networks: A novel bio-inspired computational model for image classification
A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study
A unified framework for EEG seizure detection using universum-integrated generalized eigenvalues proximal support vector machine
Coexistence and local stability of multiple equilibria in neural networks with piecewise linear nondecreasing activation functions
Erratum to "Comments on the 'No-Prop' algorithm" [Neural Networks 48 (2013) 59-60]
WaveNet-SF: A hybrid network for retinal disease detection based on wavelet transform in spatial-frequency domain
Missing data imputation through GTM as a mixture of t-distributions
Adaptive ambiguity-aware weighting for multi-label recognition with limited annotations
Exponential synchronization of coupled neural networks under stochastic deception attacks
Event-triggered synchronization of discrete-time neural networks: A switching approach
A case study of solving optimization problems using neural networks
Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays
Transfer collaborative filtering from multiple sources via consensus regularization
Stochastic resonance with differential code in feedforward network with intra-layer random connections
Finite time convergent learning law for continuous neural networks
General asymmetric neural networks and structure design by genetic algorithms
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization
Noise can speed backpropagation learning and deep bidirectional pretraining
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism
Perturbation diversity certificates robust generalization
Multi-source sequential knowledge regression by using transfer RNN units
ST-GTrans: Spatio-temporal graph transformer with road network semantic awareness for traffic flow prediction
Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning
Decentralized event-triggered synchronization of uncertain Markovian jumping neutral-type neural networks with mixed delays
A surge of submissions
Robust mixture of experts modeling using the t distribution
Memory capacity in neural network models: Rigorous lower bounds
Neural voting machines
A just-in-time adaptive classification system based on the intersection of confidence intervals rule
A neural network architecture for learning word-referent associations in multiple contexts
VLAD: Task-agnostic VAE-based lifelong anomaly detection
A dynamically coupled neural oscillator network for image segmentation
Embeddings hidden layers learning for neural network compression
A neural network for the optimization of communications network design
Detecting systematic structure in distributed representations
How to make large self-organizing maps for nonvectorial data
vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data
Model of competitive learning based upon a generalized energy function
Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language
A learning approach with incomplete pixel-level labels for deep neural networks
Single-hidden-layer feed-forward quantum neural network based on Grover learning
Metalearning and neuromodulation
Periodicity and multi-periodicity generated by impulses control in delayed Cohen-Grossberg-type neural networks with discontinuous activations
Adversarial pair-wise distribution matching for remote sensing image cross-scene classification
Efficient learning procedures for optimal interpolative nets
Impact of noise structure and network topology on tracking speed of neural networks
Neural associative memories for the integration of language, vision and action in an autonomous agent
Representation and processing in a stochastic neural network: An integrated approach
Heterophilous distribution propagation for Graph Neural Networks
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement
CDCGAN: Class Distribution-aware Conditional GAN-based minority augmentation for imbalanced node classification
MIIGAN: Mambas make strong GAN for infrared image generation
Image debanding using cross-scale invertible networks with banded deformable convolutions
On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network
Adaptive Neuromorphic Architecture (ANA)
Power quality control of an autonomous wind-diesel power system based on hybrid intelligent controller
Private image synthesis of latent diffusion model with the ciphertext of prompt
A neuromorphic model for achromatic and chromatic surface representation of natural images
A look into feedback neural computation upon collision selectivity
Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting
Corrigendum to "Event-centric Multi-modal Fusion Method for Dense Video Captioning" [Neural Networks 146 (2022) 120-129]
Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays
Theory of adaptive SVD regularization for deep neural networks
Language acquisition from sparse input without error feedback
(Corr. to) Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach
Inferential estimation of polymer quality using bootstrap aggregated neural networks
A Novel session-based recommendation system using capsule graph neural network
Temporal knowledge: Recognition and learning of time-based patterns
Semantic-based regularization and Piaget's cognitive stages
Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection
Theoretic design of differential minimax controllers for stochastic cellular neural networks
Outlier detection in scatterometer data: neural network approaches
Interpretable Artificial Intelligence through Locality Guided Neural Networks
A computational model of a global neuronal workspace with stochastic connections
Fully probabilistic control for stochastic nonlinear control systems with input dependent noise
CMFF: Cross-modal feature fusion network for robust point cloud completion
Some new results on stability and synchronization for delayed inertial neural networks based on non-reduced order method
Of bits and wows: A Bayesian theory of surprise with applications to attention
Modeling the interplay between regional heterogeneity and critical dynamics underlying brain functional networks
Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction
Adversarial feature hybrid framework for steganography with shifted window local loss
Multi-Modal Graph Aggregation Transformer for image captioning
Comparison of a spiking neural network and an MLP for robust identification of generator dynamics in a multimachine power system
Variable three-term conjugate gradient method for training artificial neural networks
Corrigendum to "Lower and upper bounds for numbers of linear regions of graph convolutional networks" [Neural Networks Volume 168, November 2023, Pages 394-404]
Synchronization issue of coupled neural networks based on flexible impulse control
Statistical guarantees for regularized neural networks
CT-Loc: Cross-domain visual localization with a channel-wise transformer
"FRACTAL CHAOS" a new neural network holographic model
Biomimetic race model of the loop between the superior colliculus and the basal ganglia: Subcortical selection of saccade targets
Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers
Sampled-data exponential consensus of multi-agent systems with Lipschitz nonlinearities
Computing all invariant states of a neural network
Learning and Forgetting in Generalized Brain-state-in-a-box (BSB) Neural Associative Memories
Einsteinian neural network for spectrum estimation
Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction
Emulating the dynamics for a class of laterally inhibited neural networks
Levenberg-Marquardt multi-classification using hinge loss function
Progressive learning: A deep learning framework for continual learning
Towards a unified framework for graph-based multi-view clustering
Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification
Large-scale linear nonparallel support vector machine solver
A recurrent neural network controller and learning algorithm for the on-line learning control of autonomous underwater vehicles
One-shot many-to-many facial reenactment using Bi-Layer Graph Convolutional Networks
Investigation of out-of-distribution detection across various models and training methodologies
The E-machines: Associative neural networks as nonclassical symbolic processors
Concurrent heterogeneous neural model simulation on real-time neuromimetic hardware
Dark-DSAR: Lightweight one-step pipeline for action recognition in dark videos
GSE: A global-local storage enhanced video object recognition model
Linsker-type Hebbian Learning: A Qualitative Analysis on the Parameter Space
Distributed aggregative optimization with affine coupling constraints
COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation
An elastic competitive and discriminative collaborative representation method for image classification
On the approximation by single hidden layer feedforward neural networks with fixed weights
A neural network implementation of a saliency map model
Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances
A complex-valued version of Nagumo-Sato model of a single neuron and its behavior
Alzheimer's disease classification based on multimodal consistent distribution and trusted fusion
Learning a common substructure of multiple graphical Gaussian models
Anti-transfer learning for task invariance in convolutional neural networks for speech processing
Introduction to the special issue on goal-directed neural systems
Extended analysis on the global Mittag-Leffler synchronization problem for fractional-order octonion-valued BAM neural networks
On learning the derivatives of an unknown mapping with multilayer feedforward networks
Graph Intention Embedding Neural Network for tag-aware recommendation
Multi-hop interpretable meta learning for few-shot temporal knowledge graph completion
Analysis of the correlation structure for a neural predictive model with application to speech recognition
Multistability and associative memory of neural networks with Morita-like activation functions
Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion
Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy
Synchronization in finite time for variable-order fractional complex dynamic networks with multi-weights and discontinuous nodes based on sliding mode control strategy
Robustness meets accuracy in adversarial training for graph autoencoder
On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning
μ-law SGAN for generating spectra with more details in speech enhancement
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
The butterfly effect in neural networks: Unveiling hyperbolic chaos through parameter sensitivity
A regularization perspective based theoretical analysis for adversarial robustness of deep spiking neural networks
Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces
Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition
Enhancing space-time video super-resolution via spatial-temporal feature interaction
Deep two-way matrix reordering for relational data analysis
A human-in-the-loop deep learning paradigm for synergic visual evaluation in children
Response to letter by M. Bahrami
Robust maximum likelihood training of heteroscedastic probabilistic neural networks
Cross-attention-map-based regularization for adversarial domain adaptation
Combining experts in order to identify binding sites in yeast and mouse genomic data
"Virtual input" phenomena within the death of a simple pattern associator
Generalization in digital functions
Dual-view graph-of-graph representation learning with graph Transformer for graph-level anomaly detection
Deep learning, reinforcement learning, and world models
Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use cases
Defense against adversarial attacks based on color space transformation
Adapformer: Adaptive channel management for multivariate time series forecasting
Optimal exponential synchronization of general chaotic delayed neural networks: An LMI approach
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition
Generalized Guerra's interpolation schemes for dense associative neural networks
Quasi-synchronization of drive-response systems with parameter mismatch via event-triggered impulsive control
Self-organizing continuous attractor networks and motor function
Self identity mapping
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks
A theoretical network model to analyse neurogenesis and synaptogenesis in the dentate gyrus
CDAFormer: Hybrid Transformer-based contrastive domain adaptation framework for unsupervised hyperspectral change detection
Passive dendritic integration heavily affects spiking dynamics of recurrent networks
RMKD: Relaxed matching knowledge distillation for short-length SSVEP-based brain-computer interfaces
Decoupling upper and lower face transformers for binary interactive video generation
A hybrid algorithm for finding the global minimum of error function of neural networks and its applications
A waiting-time-based event-triggered scheme for stabilization of complex-valued neural networks
Context and detail interaction network for stereo rain streak and raindrop removal
Selecting salient objects in real scenes: An oscillatory correlation model
Goals and means in action observation: A computational approach
Multineuron spike train analysis with R-convolution linear combination kernel
Diverse Teacher-Students for deep safe semi-supervised learning under class mismatch
Composite algorithms for shaping attraction basins
Exponential quasi-synchronization of coupled delayed memristive neural networks via intermittent event-triggered control
Correlation of fronto-central phase coupling with sensorimotor rhythm modulation
Author's response
Decoding emotion with phase-amplitude fusion features of EEG functional connectivity network
Evaluation of text-to-gesture generation model using convolutional neural network
Cross-subject emotion recognition with loop adaptive adversarial transfer network
Improving few-shot relation classification with multi-scale hierarchical prototype learning
Mouse chromosome classification by radial basis function network with fast orthogonal search
Incremental projection learning for optimal generalization
Properties of learning related to pattern diversity in ART1
Essentials of the self-organizing map
Disentangled self-supervised video camouflaged object detection and salient object detection
Mutual information of sparsely coded associative memory with self-control and ternary neurons
Efficient coding matters in the organization of the early visual system
Latent neighborhood-based heterogeneous graph representation
Controllability of Indu-Bala product networks
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision
Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation
Learning reaching strategies through reinforcement for a sensor-based manipulator
Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling
CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction
ABVS breast tumour segmentation via integrating CNN with dilated sampling self-attention and feature interaction Transformer
Model selection in neural networks
Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis
Optimizing dense feed-forward neural networks
Exploiting the gain-modulation mechanism in parieto-motor neurons: Application to visuomotor transformations and embodied simulation
Multifunctional hybrid neural net
The unambiguous structure representation of tabular data for recognition
Neural processing of targets in visible, multispectral IR and SAR imagery
Neuronal correlates of sleep in honey bees
AutoProfile: Automated profiling in deep learning-based side-channel analysis
Heterogeneous boundary synchronization of time-delayed competitive neural networks with adaptive learning parameter in the space-time discretized frames
Planning forward: Deep incremental hashing by gradually defrosting bits
A brain-to-population graph learning framework for diagnosing brain disorders
Ordinal regression based on learning vector quantization
A visual cortex domain model and its use for visual information processing
De Rham compatible Deep Neural Network FEM
ToBaFu: Topology-based fusion model for classification of two-dimensional cancer images
Boosting Knowledge Graph with Diverse-Aware Intent Inference for recommendations
M4Net: Multi-level multi-patch multi-receptive multi-dimensional attention network for infrared small target detection
Approximation rates of DeepONets for learning operators arising from advection-diffusion equations
An adaptive neurodynamic approach for solving nonsmooth N-cluster games
Randomized algorithms for large-scale dictionary learning
Facilitating neural dynamics for delay compensation: A road to predictive neural dynamics?
HDConv: Heterogeneous kernel-based dilated convolutions
A convergent generator of neural networks
Global Mittag-Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition
Ex2Vec: Enhancing assembly code semantics with end-to-end execution-aware embeddings
The patchwork engine: image segmentation from shape symmetries
Learning networks for extrapolation and radar target identification
Global oscillation regime change by gated inhibition
Learning Vector Quantization with Training Count (LVQTC)
Investigating self-supervised image denoising with denaturation
Gradient amplification for gradient matching based dataset distillation
A collective neurodynamic optimization approach to bound-constrained nonconvex optimization
Nested relation extraction via self-contrastive learning guided by structure and semantic similarity