yusuke1997/dblp-id-title huggingface dataset:
Event-triggered delayed impulsive control for nonlinear systems with application to complex neural networks
Self partitioning neural networks for target recognition
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning
Deep graph reconstruction for multi-view clustering
A neural model of the temporal dynamics of figure-ground segregation in motion perception
Recognizing successive dolphin echoes with an integrator gateway network
Comparison of universal approximators incorporating partial monotonicity by structure
Reducing semantic ambiguity in domain adaptive semantic segmentation via probabilistic prototypical pixel contrast
Transformers for modeling physical systems
Embedding graphs on Grassmann manifold
Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification
Individualization of pharmacological anemia management using reinforcement learning
Applying machine learning to infant interaction: The development is in the details
Lightweight local and global granularity selection optimization network for single image super-resolution
Exponential passivity of discrete-time switched neural networks with transmission delays via an event-triggered sliding mode control
A neural network adaptive filter for the removal of impulse noise in digital images
Multi-view clustering on unmapped data via constrained non-negative matrix factorization
On Clifford neurons and Clifford multi-layer perceptrons
Augmented semantic feature based generative network for generalized zero-shot learning
Global exponential stability of delayed Markovian jump fuzzy cellular neural networks with generally incomplete transition probability
Intelligence and embodiment: A statistical mechanics approach
Discriminative clustering on manifold for adaptive transductive classification
Analysis of the process of visual pattern recognition by the neocognitron
Multistability and fixed-time multisynchronization of switched neural networks with state-dependent switching rules
MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification
Dendrite P systems
Multi-level semantic-aware transformer for image captioning
Hybrid aggregation strategy with double inverted residual blocks for lightweight salient object detection
Learning personalized drug features and differentiated drug-pair interaction information for drug-drug interaction prediction
TGAN: A simple model update strategy for visual tracking via template-guidance attention network
Mathematics bridging cognition and single-cell physiology
Subspace segmentation by dense block and sparse representation
New developments in self-organizing systems
AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators
Group-wise relation mining for weakly-supervised fine-grained multimodal emotion recognition
The generalized quadratic knapsack problem. A neuronal network approach
Unsupervised Domain Adaptation with Asymmetrical Margin Disparity loss and Outlier Sample Extraction
Multilayer neural networks for solving a class of partial differential equations
Adaptive bigraph-based multi-view unsupervised dimensionality reduction
Bridging multimedia heterogeneity gap via Graph Representation Learning for cross-modal retrieval
Developments in understanding neuronal spike trains and functional specializations in brain regions
A multidimensional feature fusion network based on MGSE and TAAC for video-based human action recognition
No-reference stereoscopic image quality assessment based on binocular collaboration
Learning a multi-dimensional companding function for lossy source coding
Information processing in a neuron ensemble with the multiplicative correlation structure
A new learning paradigm: Learning using privileged information
A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning
Effects of mixed sample data augmentation on interpretability of neural networks
Language-based reasoning graph neural network for commonsense question answering
Context-aware dynamic neural computational models for accurate Poly(A) signal prediction
MSSPA-GC: Multi-Scale Shape Prior Adaptation with 3D Graph Convolutions for Category-Level Object Pose Estimation
A note on ethical aspects of BCI
MG-CNN: A deep CNN to predict saddle points of matrix games
Efficient exploration through active learning for value function approximation in reinforcement learning
MixUNETR: A U-shaped network based on W-MSA and depth-wise convolution with channel and spatial interactions for zonal prostate segmentation in MRI
Neural timing nets
Neural representations for sensory-motor control, II: Learning a head-centered visuomotor representation of 3-D target position
One-step Bayesian example-dependent cost classification: The OsC-MLP method
Distributed leader-following bipartite consensus for one-sided Lipschitz multi-agent systems via dual-terminal event-triggered mechanism
A Neural Network model in stereovision matching
Deep neural mapping support vector machines
Understanding the role of pathways in a deep neural network
Class-imbalanced complementary-label learning via weighted loss
Causal gene identification using combinatorial V-structure search
Similarity-based context aware continual learning for spiking neural networks
The first second: Models of short-term memory traces in the brain
Cuneate spiking neural network learning to classify naturalistic texture stimuli under varying sensing conditions
A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks
Learning domain invariant representations by joint Wasserstein distance minimization
NaturalL2S: End-to-end high-quality multispeaker lip-to-speech synthesis with differential digital signal processing
A proposed name for aperiodic brain activity: stochastic chaos
Centralized and decentralized global outer-synchronization of asymmetric recurrent time-varying neural network by data-sampling
A network model for blind source extraction in various ill-conditioned cases
Document-level Relation Extraction with Relation Correlations
Nonlinear dynamics and chaos in fractional-order neural networks
Varieties of Helmholtz Machine
Deep learning on image denoising: An overview
A robust classifier combined with an auto-associative network for completing partly occluded images
Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays
Towards a mathematical framework to inform neural network modelling via polynomial regression
A training algorithm with selectable search direction for complex-valued feedforward neural networks
Improving weather radar estimates of rainfall using feed-forward neural networks
Bump competition and lattice solutions in two-dimensional neural fields
Effects of impulse on prescribed-time synchronization of switching complex networks
Model-agnostic counterfactual reasoning for identifying and mitigating answer bias in knowledge tracing
Deep ANC: A deep learning approach to active noise control
Learning protein secondary structure from sequential and relational data
Selforganization and information processing of neural networks
A dynamical pattern recognition model of gamma activity in auditory cortex
Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application
Comparison of relevance learning vector quantization with other metric adaptive classification methods
Decentralized stochastic sharpness-aware minimization algorithm
The basins of attraction of a new Hopfield learning rule
H ∞ state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels
DeepONet for solving nonlinear partial differential equations with physics-informed training
Functional role of entorhinal cortex in working memory processing
A rule- and query-guided reinforcement learning for extrapolation reasoning in temporal knowledge graphs
Solving large scale traveling salesman problems by chaotic neurodynamics
Neural network training as a dissipative process
One pass learning for generalized classifier neural network
Generalized classifier neural network
Real-time and accurate stereo matching via tri-fusion volume for stereo vision
Neural network for nonsmooth pseudoconvex optimization with general convex constraints
Non-fragile state estimation for fractional-order delayed memristive BAM neural networks
Generalized two-dimensional linear discriminant analysis with regularization
On the complexity of approximating mappings using feedforward networks
FIND - A unified framework for neural data analysis
Welcome to the special issue: the best of the best
Corrigendum to "Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning" [Neural Networks Volume 178, October (2024), 1-11/106414]]
Multistability and instability analysis of recurrent neural networks with time-varying delays
Social impact and governance of AI and neurotechnologies
AutoSGRL: Automated framework construction for self-supervised graph representation learning
Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis
Speaker-independent isolated digit recognition: Multilayer perceptrons vs. Dynamic time warping
A neural network theory of proportional analogy-making
The cortical column: A new processing unit for multilayered networks
Revisiting DIRE: towards universal AI-generated image detection
A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification
Physics-informed neural networks for solving inverse problems in phase field models
Semantic consistency learning on manifold for source data-free unsupervised domain adaptation
Speaker recognition based on deep learning: An overview
New effective approach to quasi synchronization of coupled heterogeneous complex networks
Spatial consistency of neural firing regulates long-range local field potential synchronization: A computational study
A biologically inspired architecture with switching units can learn to generalize across backgrounds
The CMAC and a theorem of Kolmogorov
On neural network techniques in the secure management of communication systems through improving and quality assessing pseudorandom stream generators
Memristive circuit of emotion with negative feedback based on three primary color model
Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion
BoSR: A CNN-based aurora image retrieval method
Multi-view L2-SVM and its multi-view core vector machine
Impulsive synchronization schemes of stochastic complex networks with switching topology: Average time approach
An event-triggered collaborative neurodynamic approach to distributed global optimization
Semi-supervised word polarity identification in resource-lean languages
Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior
Curriculum negative mining for temporal networks
Bayesian geodesic path for human motor control
Rank-based pooling for deep convolutional neural networks
Construction and evaluation of an integrated dynamical model of visual motion perception
Bidirectional stochastic configuration network for regression problems
An end-to-end 3D convolutional neural network for decoding attentive mental state
LSTM-based approach for predicting periodic motions of an impacting system via transient dynamics
FedHyperGraph: A layer-wise personalized federated learning with correlation graphs in hyperbolic space
Brain-inspired meta-reinforcement learning cognitive control in conflictual inhibition decision-making task for artificial agents
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs
Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks
Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991)
Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation
On learning to estimate the block directional image of a fingerprint using a hierarchical neural network
Multi-view graph clustering with Dually Enhanced Tensor Rank Minimization and Diverse Separation of Inconsistent Information
Anchor point segmentation based multi-view clustering
Visual dialog with semantic consistency: An external knowledge-driven approach
Reconstruct incomplete relation for incomplete modality brain tumor segmentation
Neural dynamics of saccadic and smooth pursuit eye movement coordination during visual tracking of unpredictably moving targets
A wavelet-based method for extracting intermittent discontinuities observed in human motor behavior
Evolution-communication spiking neural P systems with energy request rules
On the accuracy and computational cost of spiking neuron implementation
Application of neural networks to the modelling of some constitutive laws
Cube is a good form: Hyperspectral band selection via multi-dimensional and high-order structure preserved clustering
Graph regularized spatial-spectral subspace clustering for hyperspectral band selection
Reinforced mixture learning
Multi-head ensemble of smoothed classifiers for certified robustness
Time series classification with Echo Memory Networks
A neuron-astrocyte transistor-like model for neuromorphic dressed neurons
Wp-VTON: A wrinkle-preserving virtual try-on network via clothing texture book
MSEDNet: Multi-scale fusion and edge-supervised network for RGB-T salient object detection
Dynamic liquid association: Complex learning without implausible guidance
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective
Image restoration driven by dual-scale prior
Adaptive filters and internal models: Multilevel description of cerebellar function
Multi-view contrastive learning for graph adversarial defense
FairDRO: Group fairness regularization via classwise robust optimization
Neurocomputational models of brain disorders
Differential learning algorithms for decorrelation and independent component analysis
Representation learning via Dual-Autoencoder for recommendation
Multi-scale, multi-modal neural modeling and simulation
Neural dynamics and synaptic plasticity in simple networks drive Lévy flight foraging and obstacle avoidance behaviors for bio-inspired autonomous flight
IASA: An IoU-aware tracker with adaptive sample assignment
Corrigendum to "Multi-view Graph Pooling with Coarsened Graph Disentanglement" [Neural Networks 174 (2024) 1-10/106221]
Behavioral inhibition and prefrontal cortex in decision-making
New internal optimal neurocontrol for a series FACTS device in a power transmission line
Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network
Deep fuzzy physics-informed neural networks for forward and inverse PDE problems
Recurrent neural networks with backtrack-points and negative reinforcement applied to cost-based abduction
Neurobiology of decision making
Euclidean-Distance-Preserved Feature Reduction for efficient person re-identification
Asymmetric double networks mutual teaching for unsupervised person Re-identification
Hessian-Riemannian second-order neurodynamic approach for constrained optimization: Theory and applications
Two-layer contractive encodings for learning stable nonlinear features
Neural network for constrained nonsmooth optimization using Tikhonov regularization
Introducing high correlation and high quality instances for few-shot entity linking
DLPNet: A deep manifold network for feature extraction of hyperspectral imagery
Real time distributed processing of multiple associated pulse pattern sequences
A generalized LSTM-like training algorithm for second-order recurrent neural networks
Parity with two layer feedforward nets
Nonlinear analysis and synthesis of video images using deep dynamic bottleneck neural networks for face recognition
Separate neural definitions of visual consciousness and visual attention; a case for phenomenal awareness
Neural network model for extracting optic flow
Event-triggered H ∞ filtering for delayed neural networks via sampled-data
HyperMask: Adaptive hypernetwork-based masks for continual learning
Global practical finite-time synchronization of disturbed inertial neural networks by delayed impulsive control
Properties of learning in ARTMAP
Shaping schedules as a method for accelerated learning
Tangency portfolios using graph neural networks
A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test
Self-organization of a recurrent network under ongoing synaptic plasticity
UTRAD: Anomaly detection and localization with U-Transformer
Deterministic learning-based neural network control with adaptive phase compensation
Circuit design and exponential stabilization of memristive neural networks
A neuromimetic realization of hippocampal CA1 for theta wave generation
Contrastive learning of graphs under label noise
Rectify representation bias in vision-language models for long-tailed recognition
Exponential stability of infinite-dimensional impulsive stochastic systems with Poisson jumps under aperiodically intermittent control
Addressing common misinterpretations of KART and UAT in neural network literature
Frequency-domain physics-informed neural network for accurate reconstruction of 3D acoustic fields under sparse and multi-frequency measurements
Asymptotic analysis of value prediction by well-specified and misspecified models
Energy minimization in the nonlinear dynamic recurrent associative memory
Rethinking the performance comparison between SNNS and ANNS
Image-based time series forecasting: A deep convolutional neural network approach
Clustering and co-evolution to construct neural network ensembles: An experimental study
Graph positive-unlabeled learning via Bootstrapping Label Disambiguation
Symmetrical bidirectional knowledge alignment for zero-shot sketch-based image retrieval
AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators
Erratum to "Fast neural network surrogates for very high dimensional physics-based models in computational oceanography" [Neural Netw. 20(4) (2007) 462-478]
Numerical solution of elliptic partial differential equation using radial basis function neural networks
Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells
Robust stability of Boolean networks with data loss and disturbance inputs
New rigorous results for the Hopfield's neural network model
Analysis of global O(t -α ) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays
AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation
Path-aware multi-scale learning for heterogeneous graph neural network
Phase shifts in alpha-frequency rhythm detected in electroencephalograms influence reaction time
Divide and Conquer Neural Networks
Gas tungsten ARC weld modeling using a mapping network
A linear recurrent kernel online learning algorithm with sparse updates
A comment on "α-stability and α-synchronization for fractional-order neural networks"
Facial micro-expression recognition using stochastic graph convolutional network and dual transferred learning
BrainGraphDiff: A framework for enhanced brain network analysis via adaptive subgraph generation
ASD+M: Automatic parameter tuning in stochastic optimization and on-line learning
A hybrid generative and predictive model of the motor cortex
Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network
A theory of the Benham Top based on center-surround interactions in the parvocellular pathway
Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot
A Modified ART 1 Algorithm more Suitable for VLSI Implementations
Approximation by non-symmetric networks for cross-domain learning
Backdoor attacks against Hybrid Classical-Quantum Neural Networks
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification
Bounds on the complexity of recurrent neural network implementations of finite state machines
Distance metric learning based on the class center and nearest neighbor relationship
DPGCL: Dual pass filtering based graph contrastive learning
Modeling cognitive and emotional processes: A novel neural network architecture
Generalized robust loss functions for machine learning
Biased ART: A neural architecture that shifts attention toward previously disregarded features following an incorrect prediction
STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes
A universal mapping for kolmogorov's superposition theorem
Place from time: Reconstructing position from a distributed representation of temporal context
Adaptive ensemble perception tracking
Learning, action and consciousness: a hybrid approach toward modelling consciousness
Online learning and generalization of parts-based image representations by non-negative sparse autoencoders
Training MLPs layer by layer using an objective function for internal representations
Joint learning adaptive metric and optimal classification hyperplane
Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment
A Comprehensive Survey on Deep Graph Representation Learning
Recurrent transform learning
Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis
Generalized zero-shot domain adaptation via coupled conditional variational autoencoders
Orthogonal self-guided similarity preserving projection for classification and clustering
Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations
Central similarity joint-learning for cross-domain retrieval
Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting
On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach
Investigation of the CasCor Family of Learning Algorithms
Some generalized global stability criteria for delayed Cohen-Grossberg neural networks of neutral-type
Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation
Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming
Exploring better sparsely annotated shadow detection
Batch process fault detection for multi-stage broad learning system
Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks
Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models
Creating and concentrating quantum resource states in noisy environments using a quantum neural network
dNSP: A biologically inspired dynamic Neural network approach to Signal Processing
An interpretive constrained linear model for ResNet and MgNet
Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification
SPC: Self-supervised point cloud completion
Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis
Master-slave exponential synchronization of delayed complex-valued memristor-based neural networks via impulsive control
Design of an adaptive neural network based power system stabilizer
A computational neuroscience approach to consciousness
Encoded pattern classification using constructive learning algorithms based on learning vector quantization