yusuke1997/dblp-id-title huggingface dataset:
Semantic driven ViT and dual-level token fusion for weakly supervised semantic segmentation
Ensemble clustering based on dense representation
FSANet: Feature shuffle and adaptive channel attention network for arbitrary shape scene text detection
NPDS toolbox: Neural population (De) synchronization toolbox for MATLAB
Robust control scheme for a class of uncertain nonlinear systems with completely unknown dynamics using data-driven reinforcement learning method
Stability and Hopf bifurcation analysis of a tri-neuron BAM neural network with distributed delay
Euclidean distance estimation in incomplete datasets
H3-Astronaut Pose Net : A multiview 3D astronaut pose estimation system for spacecraft
A new model to imitate the foraging behavior of Physarum polycephalum on a nutrient-poor substrate
IIRNet: Infinite impulse response inspired network for compressed video quality enhancement
Multi-view semantic learning network for point cloud based 3D object detection
Stochastic exponential synchronization control of memristive neural networks with multiple time-varying delays
MCFF-CNN: Multiscale comprehensive feature fusion convolutional neural network for vehicle color recognition based on residual learning
Training multi-layer spiking neural networks using NormAD based spatio-temporal error backpropagation
A novel pipelined neural FIR architecture for nonlinear adaptive filter
Zhang neural network versus gradient-based neural network for time-varying linear matrix equation solving
3D-TDC: A 3D temporal dilation convolution framework for video action recognition
Edited AdaBoost by weighted kNN
Synchronization of coupled memristive competitive BAM neural networks with different time scales
NCLWO: Newton's cooling law-based weighted oversampling algorithm for imbalanced datasets with feature noise
Cosmos Propagation Network: Deep learning model for point cloud completion
Alterations of maps induced by blockage of synaptic receptors in a computer simulation of the somatosensory system
Extraction of spatio-temporal primitives of emotional body expressions
A novel hierarchical clustering approach based on granular-ball computing
Use of the separation property to derive Liquid State Machines with enhanced classification performance
Modality-aware contrast and fusion for multi-modal summarization
Semi-supervised multi-graph classification using optimal feature selection and extreme learning machine
Statistical generalization performance guarantee for meta-learning with data dependent prior
A novel multi-morphological representation approach for multi-source EEG signals
Global dissipativity of a class of BAM neural networks with both time-varying and continuously distributed delays
Multistability and complete convergence analysis on high-order neural networks with a class of nonsmooth activation functions
Short-term time series algebraic forecasting with internal smoothing
Influencing over people with a social emotional model
Fast rates for ranking with large families
Exponential synchronization and phase locking of a multilayer Kuramoto-oscillator system with a pacemaker
MDANet: A multi-stage domain adaptation framework for generalizable low-light image enhancement
Self-organizing radial basis function neural network using accelerated second-order learning algorithm
A crisis event classification method based on a multimodal multilayer graph model
A Bio-inspired knowledge system for improving combined cycle plant control tuning
An accurate and fair evaluation methodology for SNN-based inferencing with full-stack hardware design space explorations
A novel ensemble over-sampling approach based Chebyshev inequality for imbalanced multi-label data
ExpTime tableaux with global state caching for the description logic SHIO
Internet of medical things: A systematic review
Minimization of the logarithmic function in sparse recovery
Novel up-scale feature aggregation for object detection in aerial images
A fast alternating time-splitting approach for learning partial differential equations
A memory-based conditional neural process for video instance segmentation
GCCNet: Grouped channel composition network for scene text detection
Energy and synchronization of multifunctional loop neural networks
A Doubly Decoupled Network for edge detection
Compact and discriminative representation of Bag-of-Features
EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion
Monogenic features based single sample face recognition by kernel sparse representation on multiple Riemannian manifolds
MLDH-Fold: Protein fold recognition based on multi-view low-rank modeling
Binaural semi-blind dereverberation of noisy convoluted speech signals
State estimation for discrete Markovian jumping neural networks with time delay
A multi-component model of depression at the calyx of Held
An analog VLSI design for a neuron with a choice of learning rules
Soft-competitive learning of sparse codes and its application to image reconstruction
Semantic adaptation network for unsupervised domain adaptation
The effect of correlations in the background activity on the information transmission properties of neural populations
An adaptive second order fuzzy neural network for nonlinear system modeling
An improved fuzzy ARTMAP and Q-learning agent model for pattern classification
Passivity analysis for uncertain BAM inertial neural networks with time-varying delays
A survey on fall detection: Principles and approaches
Neuromorphic extreme learning machines with bimodal memristive synapses
Self-scaled conjugate gradient training algorithms
Memristive Residual CapsNet: A hardware friendly multi-level capsule network
Fdmclust: Functional data model-based clustering using approximation of probability density for a random function in a reproducing Kernel Hilbert space framework
Incremental label propagation for data sets with imbalanced labels
A simple model of spike processing
Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning
Machine learning algorithms for T-cell epitopes prediction
Computation with populations codes in layered networks of integrate-and-fire neurons
Effectively training neural machine translation models with monolingual data
Improved YOLOv7 for small object detection in airports: Task-oriented feature learning with Gaussian Wasserstein loss and attention mechanisms
Finding robust domain from attacks: A learning framework for blind watermarking
Position regularization-based temporal-spectral imputation for source-free time-series domain adaptation
Kernel canonical correlation analysis via gradient descent
Natural conjugate gradient training of multilayer perceptrons
HB-BERT: A hybrid ANN-SNN model for efficient high-performance language understanding
Less conservative delay-dependent H ∞ control of uncertain neural networks with discrete interval and distributed time-varying delays
Pattern recognition using multilayer neural-genetic algorithm
A simple rule for spike-timing-dependent plasticity: local influence of AHP current
AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture
The normalized risk-averting error criterion for avoiding nonglobal local minima in training neural networks
Locality preserving triplet discriminative projections for dimensionality reduction
Dim infrared image enhancement based on convolutional neural network
Sparse coding of harmonic vocalization in monkey auditory cortex
Federated intent-aware cross-domain recommendation via semantic alignment and collaborative enhancement
Delay-partitioning approach design for stochastic stability analysis of uncertain neutral-type neural networks with Markovian jumping parameters
Discriminative comparison classifier for generalized zero-shot learning
Adaptive fuzzy tracking control for a class of MIMO nonaffine uncertain systems
SOM-ELM - Self-Organized Clustering using ELM
Depth dynamic center difference convolutions for monocular 3D object detection
A direct, interval-based method for reconstructing stimuli from noise-robust tuning curves
A mechanism based on Artificial Bee Colony to generate diversity in Particle Swarm Optimization
Trans4E: Link prediction on scholarly knowledge graphs
Consensus of fractional-order multi-agent systems via event-triggered pinning impulsive control
A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning
Spike alignment in bursting neurons
PhraseBT: A phrase-level back-translation data augmentation method for neural machine translation
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011)
Example-based image colorization via automatic feature selection and fusion
Named entity recognition and relationship extraction for biomedical text: A comprehensive survey, recent advancements, and future research directions
LSKN-MFIF: Large selective kernel network for multi-focus image fusion
scAFGCC: An augmentation-free graph contrastive clustering method for scRNA-seq data analysis
Multivariate Hawkes Spatio-Temporal Point Process with attention for point of interest recommendation
Intensity enhancement via GAN for multimodal face expression recognition
Multistability and robustness of complex-valued neural networks with delays and input perturbation
Stability analysis for ranking with stationary φ -mixing samples
Further studies on impulsive consensus of multi-agent nonlinear systems with control gain error
Neural networks in distributed computing and artificial intelligence
Combine HowNet lexicon to train phrase recursive autoencoder for sentence-level sentiment analysis
Embedding metric learning into set-based face recognition for video surveillance
SEDA-EEG: A semi-supervised emotion recognition network with domain adaptation for cross-subject EEG analysis
Online object tracking via bounded error distance
Adaptive H infinity tracking control for a class of uncertain nonlinear systems using radial-basis-function neural networks
Interval observer-based fault detection in finite frequency domain for discrete-time fuzzy systems
Generalization rules for the suppressed fuzzy c-means clustering algorithm
Bag-of-words feature representation for blind image quality assessment with local quantized pattern
Leader-following output consensus of T-S fuzzy switched multi-agent systems under bumpless transfer control and event-triggered communication
Vector-kernel convolutional neural networks
Visual context-aware attribute-preserving face de-identification
Phys-Vim: State space model for remote physiological measurement
Impulses-induced exponential stability in recurrent delayed neural networks
Person re-identification from virtuality to reality via modality invariant adversarial mechanism
Unsupervised Natural Image Segmentation via Bayesian Ying-Yang Harmony Learning Theory
Volterra system-based neural network modeling by particle swarm optimization approach
State estimation of complex-valued neural networks with two additive time-varying delays
Object-oriented neural simulation tools for a hypercube parallel machine
Faster R-CNN for marine organisms detection and recognition using data augmentation
Simple biological neural networks and stability criteria for equilibrium memories
PyBNesian: An extensible python package for Bayesian networks
Distributed optimal consensus algorithms in multi-agent systems
Associating arbitrary-order energy functions to an artificial neural network: Implications concerning the resolution of optimization problems
HARNet: Hierarchical adaptive regression with location recovery for crowd counting
A computational propagation model for malware based on the SIR classic model
A novel ZNN model for fast synchronisation of chaos systems with external disturbances
On hybrid control of higher order Boolean networks
Quantum weighted gated recurrent unit neural network and its application in performance degradation trend prediction of rotating machinery
Approaches and applications of semi-blind signal extraction for communication signals based on constrained independent component analysis: The complex case
A double-layer ELM with added feature selection ability using a sparse Bayesian approach
Non-parametric significance estimation of joint-spike events by shuffling and resampling
A social spider algorithm for solving the non-convex economic load dispatch problem
L 2, p -norm and sample constraint based feature selection and classification for AD diagnosis
Incremental support vector machines and their geometrical analyses
Image super-resolution via a densely connected recursive network
Delayed feedback control of bursting synchronization in small-world neuronal networks
Facial expression recognition with polynomial Legendre and partial connection MLP
Novel zeroing neural network for determining square and cube roots of discrete time-variant matrices
What do V1 neurons tell us about saccadic suppression?
Diversity-augmented intrinsic motivation for deep reinforcement learning
Adaptive neural containment seeking of stochastic nonlinear strict-feedback multi-agent systems
Finite-time stability of genetic regulatory networks with impulsive effects
Convolutional neural networks based on fractional-order momentum for parameter training
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction
Dynamic analysis of delayed neural networks: Event-triggered impulsive Halanay inequality approach
Macro-level information transfer in social media: Reflections of crowd phenomena
Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting
Self-supervised cross-iterative clustering for unlabeled plant disease images
A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks
Disturbance-observer-based adaptive NN control for a class of MIMO discrete-time nonlinear strict-feedback systems with dead zone
Incremental constructive ridgelet neural network
Effects of couplings on the optimal desynchronizing control of neuronal networks
Asymptotic behavior of discrete solutions to delayed neural networks with impulses
Disguised heterogeneous face recognition using deep neighborhood difference relational network
Dual Part-pooling Attentive Networks for Session-based Recommendation
TANGO: A temporal spatial dynamic graph model for event prediction
Large scale multi-class classification with truncated nuclear norm regularization
A heuristically enhanced gradient approximation (HEGA) algorithm for training neural networks
An incremental neuronal-activity-based RBF neural network for nonlinear system modeling
Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy
New results for global stability of Cohen-Grossberg neural networks with multiple time delays
Kernel-based metric learning for semi-supervised clustering
Are inhibitory synaptic conductances on thalamic relay neurons inhomogeneous? Are synapses from individual afferents clustered?
FedLDR: Federated optimization with label distribution-aware representations
A global exponential robust stability criterion for interval delayed neural networks with variable delays
Feature subspace transfer for collaborative filtering
Sparse-attentive meta temporal point process for clinical decision support
Secondary learning in the assembly neural network
Is there a problem matching real and model CV(ISI)?
Observer-based adaptive event-triggered tracking control for nonlinear MIMO systems based on neural networks technique
A new training and pruning algorithm based on node dependence and Jacobian rank deficiency
Trusted Cross-view Completion for incomplete multi-view classification
Neural-network-based adaptive tracking control for Markovian jump nonlinear systems with unmodeled dynamics
Neurofuzzy self-tuning of the dissipation rate gain for model-free force-position exponential tracking of robots
Towards biologically plausible DNN optimization: Replacing backpropagation and loss functions with a top-down credit assignment network
Multi-view clustering via label-embedded regularized NMF with dual-graph constraints
Quantum maximum mean discrepancy GAN
Maximum entropy discrimination factor analyzers
A survey on dendritic neuron model: Mechanisms, algorithms and practical applications
Adaptive emotion neural network based on ITCSO and grey correlation contribution
Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer
Further results on asymptotic and finite-time stability analysis of fractional-order time-delayed genetic regulatory networks
Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data
A neural network with multi-neurons
Psychophysical determination of the spatial connectivity function in a model of contour salience
Spiking neural P systems with request rules
Actuator fault detection filter design for discrete-time systems with a descriptor system method
Neurogenesis performs the formation of the cognitive space in rat's navigation
Distributed flow network control with demand response via price adjustment
Smartdata : Data preprocessing to achieve smart data in R
OptQuant: Distributed training of neural networks with optimized quantization mechanisms
A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations
Streamflow forecasting by SVM with quantum behaved particle swarm optimization
Modeling implicit feedback based on bandit learning for recommendation
Knowledge graph informed fake news classification via heterogeneous representation ensembles
A blur-guided multi-attention network based on left-right consistency for gradual defocus deblurring in binocular images
Bagging for Gaussian process regression
CTpoint: A novel local and global features extractor for point cloud
Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus
Global exponential stability of memristive neural networks with impulse time window and time-varying delays
Improving long-tail relation extraction via adaptive adjustment and causal inference
3-D Relation Network for visual relation recognition in videos
Synchronization in time-discrete delayed chaotic systems
A weakly supervised geodesic level set framework for interactive image segmentation
PolSAR image classification based on multi-scale stacked sparse autoencoder
Multi-scale trend decomposition mixture of experts and time series retrieval-augmented modeling for erythromycin fermentation process
A multi-act sequential game-based multi-objective clustering approach for categorical data
Recursive robust least squares support vector regression based on maximum correntropy criterion
Group-based sparse representation for image compressive sensing reconstruction with non-convex regularization
TVGCN: Time-variant graph convolutional network for traffic forecasting
FIN-GAN: Face illumination normalization via retinex-based self-supervised learning and conditional generative adversarial network
Simultaneous approximation by spherical neural networks
A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies
Complex-valued neural network topology and learning applied for identification and control of nonlinear systems
FIGNNCF: Feature integrated graph neural network based collaborative filtering for sequential recommendation
ConvSeq-MF: Convo-Sequential Matrix Factorization for recommender system
Pattern recognition in graphical domains
Exponential stability of Markovian jumping Cohen-Grossberg neural networks with mixed mode-dependent time-delays
A novel signal sparse decomposition based on modulation correlation partition
Hyperspectral image classification based on sparse modeling of spectral blocks
A network evolution model based on community structure
Characterizing dynamics of absence seizure EEG with spatial-temporal permutation entropy
Time series wind power forecasting based on variant Gaussian Process and TLBO
Passivity for undirected and directed fractional-order complex networks with adaptive output coupling
Funnel-structured cascade for multi-view face detection with alignment-awareness
Event-triggered impulsive tracking control for uncertain strict-feedback nonlinear systems via the neural-network-based backstepping technique
Micro-attention for micro-expression recognition
Generalized fault diagnosis method of transmission lines using transfer learning technique
DCTNet: A dual-branch CNN-transformer network for SAR-optical image classification
Robust tracking control of AC servo system including a ball screw
Low-level structure feature extraction for image processing via stacked sparse denoising autoencoder
On the accuracy of mapping by neural networks trained by backpropagation with forgetting
Optimal binning for a variance based alternative of mutual information in pattern recognition
Multi-Exposure image Fusion via distilled 3D LUT grid with editable mode
Automatic detection of onset and cessation of tree stem radius increase using dendrometer data
Importance of electrophysiological signal features assessed by classification trees
Fusing gait and face cues for human gender recognition
Optimal online soft sensor for product quality monitoring in propylene polymerization process
A survey of graph neural networks and their industrial applications
An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time
Semantic softmax loss for zero-shot learning
Iterative projection reconstruction for fast and efficient image upsampling
Combination of two novel LDA-based methods for face recognition
Information propagation model based on hybrid social factors of opportunity, trust and motivation
Fully convolutional measurement network for compressive sensing image reconstruction
Fusing motion patterns and key visual information for semantic event recognition in basketball videos
Sparse optimization guided pruning for neural networks
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images
Global generalized exponential stability for a class of nonautonomous cellular neural networks via generalized Halanay inequalities
Learning binary codes with local and inner data structure
Time-series processing of large scale remote sensing data with extreme learning machine
Object detection and recognition via clustered features
UniCuboid: Cuboid-based dense shape supervision for monocular 3D object detection
A BRMF-based model for missing-data estimation of image sequence
Leveraging hierarchical temporal importance sampling and adaptive noise modulation to enhance resilience in multi-agent task execution systems
Learning channel-wise spatio-temporal representations for video salient object detection
Independent component analysis with prior information about the mixing matrix
Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems
FDE-Net: A memory-efficiency densely connected network inspired from fractional-order differential equations for single image super-resolution
Neuromorphic imaging and classification with graph learning
Beyond softmax loss: Intra-concentration and inter-separability loss for classification
10-minute forest early wildfire detection: Fusing multi-type and multi-source information via recursive transformer
Efficient-PrototypicalNet with self knowledge distillation for few-shot learning
LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
Fast image compression using matrix K-L transform
DUFGNet: A dual-stream U-Net framework with frequency-guided channel attention and graph integration for epileptic seizure prediction
How do the amplitude fluctuations affect the neuronal transmission efficiency
A multivariate neuro-fuzzy system for foreign currency risk management decision making
Scene segmentation based on IPCA for visual surveillance
Local entropy-adversarial oversampling for imbalanced datasets
Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks