yusuke1997/dblp-id-title huggingface dataset:
Hypergraph wavelet neural networks for 3D object classification
Norm-mixed twin support vector machine classifier and its geometric algorithm
GeneCGAN: A conditional generative adversarial network based on genetic tree for point cloud reconstruction
GAM: General affordance-based manipulation for contact-rich object disentangling tasks
Learning pose-invariant 3D object reconstruction from single-view images
Semantization of memories in a hippocampal-cortical spiking neural network
A combined adaptive network and fuzzy inference system (ANFIS) approach for overcurrent relay system
Population stochastic dynamics for synaptic depression
PONet: Prototype optimization network for few-shot medical image segmentation
Hyperbolic tangent variant-parameter robust ZNN schemes for solving time-varying control equations and tracking of mobile robot
Shape-based retrieval and analysis of 3D models using fuzzy weighted symmetrical depth images
DPCCNN: A new lightweight fault diagnosis model for small samples and high noise problem
Automated diagnosis of multi-plane breast ultrasonography images using deep neural networks
A zonotope-based fault detection for multirate systems with improved dynamical scheduling protocols
Relay selection and power allocation for secrecy sum rate maximization in underlying cognitive radio with cooperative relaying NOMA
Fine-grained facial expression analysis using dimensional emotion model
A data imputation method for multivariate time series based on generative adversarial network
Detecting Alzheimer's disease Based on 4D fMRI: An exploration under deep learning framework
Siamese Deformable Cross-Correlation Network for Real-Time Visual Tracking
CGAD: A novel contrastive learning-based framework for anomaly detection in attributed networks
State-dependent alteration of dopamine and glutamate transmission in the prefrontal cortex by psychostimulants
Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning
Desynchronization of neural activity in a network model
NeuroML for plug and play neuronal modeling
Sequence feature generation with temporal unrolling network for zero-shot action recognition
Game-based distributed formation control by multiple relative distances over switching topologies
Neural input selection - A fast model-based approach
Addressing heterophily in node classification with graph echo state networks
Software reliability prediction via relevance vector regression
Learning a structure adaptive dictionary for sparse representation based classification
An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU
Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation
Context-aware relational reasoning for video chunks and frames overlapping in language-based moment localization
Forecasting neural network model with novel CID learning rate and EEMD algorithms on energy market
Adaptive deep clustering via disentangled hyperspherical VAEs with contrastive geometry optimization
Neighbour feature attention-based pooling
Hybrid GNN-ZNN models for solving linear matrix equations
Neighborhood preserving regression for image retrieval
A recurrent dynamic neural network for noisy signal representation
Symmetric low-rank representation for subspace clustering
Multi goals and multi scenes visual mapless navigation in indoor using meta-learning and scene priors
Aperiodically synchronization of multi-links delayed complex networks with semi-Markov jump and their numerical simulations to single-link robot arms
Wavelet packet analysis for speaker-independent emotion recognition
HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning
Improving image annotation via representative feature vector selection
Low-rank high-order tensor recovery via joint transformed tensor nuclear norm and total variation regularization
An ensemble unsupervised spiking neural network for objective recognition
Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection
Manifold-preserving graph reduction for sparse semi-supervised learning
Measure-pseudo almost periodic dynamical behaviors for BAM neural networks with D operator and hybrid time-varying delays
A robust and synthesized-unseen watermarking for the DRM of DIBR-based 3D video
Consensus of multi-agent systems with intermittent communications via sampling time unit approach
Stimulus-driven and concept-driven analysis for image caption generation
Observer-based adaptive neural control for a class of nonlinear pure-feedback systems
A compressed sensing ensemble classifier with application to human detection
Learning long-term dependencies with recurrent neural networks
Synthesized computational aesthetic evaluation of photos
Image captioning with semantic-enhanced features and extremely hard negative examples
Partial model averaging in Federated Learning: Performance guarantees and benefits
Cooperative control for swarming systems based on reinforcement learning in unknown dynamic environment
Global exponential stability in Lagrange sense for inertial neural networks with time-varying delays
A state-of-the-art survey on neural computation-enhanced Dempster-Shafer theory for safety accidents: Applications, challenges, and future directions
DentSeg-EDA: A 3D tooth segmentation framework for CBCT images using enhanced dual attention
Dynamical analysis and optimal control for a malware propagation model in an information network
Blind separation of spatio-temporal Synfire sources and visualization of neural cliques
Accelerating hyperparameter optimization with a secretary
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet
Relaxed H ∞ control design of discrete-time Takagi-Sugeno fuzzy systems: A multi-samples approach
A modified error function for the backpropagation algorithm
Granting leaders priority exit options promotes and jeopardizes cooperation in social dilemmas
Adaptive pinning control of cluster synchronization in complex networks with Lurie-type nonlinear dynamics
Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning
SLRTA: A sparse and low-rank tensor-based approach to internet traffic anomaly detection
People counting based on head detection combining Adaboost and CNN in crowded surveillance environment
Simplified neural networks algorithm for function approximation on discrete input spaces in high dimension-limited sample applications
Replay attack detection and mitigation for cyber-physical systems via RADIR algorithm with encryption scheduling
Permutation invariant self-attention infused U-shaped transformer for medical image segmentation
Spectral clustering with eigenvector selection based on entropy ranking
Multi-agent behavioral control system using deep reinforcement learning
Ranking on heterogeneous manifolds for tag recommendation in social tagging services
A new chaotic Hopfield neural network and its synthesis via parameter switchings
Integral reinforcement learning-based online adaptive event-triggered control for non-zero-sum games of partially unknown nonlinear systems
The role of cannabinoids in the neurobiology of sensory gating: A firing rate model study
Delayed time series predictions with neural networks
Data-driven optimal algorithms and their applications to pattern recognition
A new methodology for in situ calibration of a neural network-based software sensor for S-parameter prediction in six-port reflectometers
One-step incomplete multi-view clustering based on joint consistent representation learning
Discriminative adversarial domain generalization with meta-learning based cross-domain validation
Online active supervision of an evolving classifier for customized-gesture-command learning
A multi-task-based classification framework for multi-instance distance metric learning
Analysis of micro-Doppler signatures of vibration targets using EMD and SPWVD
Preliminary study on Wilcoxon-norm-based robust extreme learning machine
Linear system identification using the TLS EXIN neuron
An empirical assessment of deep learning approaches to task-oriented dialog management
Interpretation of hybrid generative/discriminative algorithms
Regularizing method for phase antialiasing in color doppler flow mapping
Dynamics of cortical map development in the elastic net model
Auditory singularity detection by a gerbil cochlea model
DiaNet: An elastic neural network for effectively re-configurable implementation
Multiway kernel independent component analysis based on feature samples for batch process monitoring
Memory-efficient DRASiW Models
A neural harmonic-aware network with gated attentive fusion for singing melody extraction
Sentiment analysis via integrating distributed representations of variable-length word sequence
An image topic model for image denoising
Nonparametric models for characterizing the topical communities in social network
A nonlinear and noise-tolerant ZNN model solving for time-varying linear matrix equation
An orthogonal forward regression technique for sparse kernel density estimation
Nonlinear time-series forecasting: A fuzzy-neural approach
Dual distance adaptive multiview clustering
Exponential synchronization via pinning adaptive control for complex networks of networks with time delays
Short-term time series forecasting based on the identification of skeleton algebraic sequences
Impulse-based Lyapunov method on fixed/preassigned-time synchronization of multi-layer impulsive networks
Video anomaly detection: A systematic review of issues and prospects
Density-based structural embedding for anomaly detection in dynamic networks
Multi-view community detection with heterogeneous information from social media data
Hierarchical-aware relation rotational knowledge graph embedding for link prediction
Incorporating uncertainties in student response modeling by loss function regularization
Being rational or aggressive? A revisit to Dunbar's number in online social networks
Fusing sentiment knowledge and inter-aspect dependency based on gated mechanism for aspect-level sentiment classification
Block building programming for symbolic regression
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition
Adaptive fuzzy decentralized output feedback control for stochastic nonlinear large-scale systems
A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images
BRACIS 2015: Progress in computation intelligence in Brazil
Stable direct adaptive neural controller of nonlinear systems based on single auto-tuning neuron
A deterministic algorithm that emulates learning with random weights
DBTSP-net: A temporal-spatial parallel network with optuna optimization for subject-specific motor imagery EEG decoding and visualization
Bayesian neural multi-source transfer learning
Batch normalization-free weight-binarized SNN based on hardware-saving IF neuron
Adaptive neural networks optimal control of permanent magnet synchronous motor system with state constraints
Dynamic neural learning for obstacle avoidance of humanoid robot performing cooperative tasks
Competitive radial basis functions training for phone classification
An attractor model for hippocampal place cell hysteresis
Homogeneous-Heterogeneous Hybrid Ensemble for concept-drift adaptation
Application of a staged learning-based resource allocation network to automatic text categorization
Fast synchronization of complex dynamical networks with time-varying delay via periodically intermittent control
New passivity criteria for uncertain neural networks with time-varying delay
Quality boost of tabular data synthesis using interpolative cumulative distribution function decoding and type-specific conditioner
Face recognition algorithm based on discriminative dictionary learning and sparse representation
A probabilistic fuzzy approach to modeling nonlinear systems
Multiple perceptual neighborhoods-based feature construction for pattern classification
Unveiling the potential of progressive training diffusion model for defect image generation and recognition in industrial processes
Existence and global exponential stability of anti-periodic solutions for competitive neural networks with delays in the leakage terms on time scales
Depth map upsampling using compressive sensing based model
A neural model of electrosensory system making electrolocation of weakly electric fish
Quasi-curvature Local Linear Projection and Extreme Learning Machine for nonlinear dimensionality reduction
Differentially private consensus and distributed optimization in multi-agent systems: A review
Novel sliding surface design for nonlinear singular systems
Fault diagnosis of power electronic system based on fault gradation and neural network group
Validation of task-related excess of spike coincidences based on NeuroXidence
Spectral embedding based facial expression recognition with multiple features
Joint entity and relation extraction model based on rich semantics
Constructing affinity matrix in spectral clustering based on neighbor propagation
Techniques for power reduction in an SIMD implementation of the VQ/SOM algorithms
Clustering-driven Deep Adversarial Hashing for scalable unsupervised cross-modal retrieval
Investigating the effect of attention mechanisms on deep neural network engineering performance and brain-like properties
Existence and exponential stability of periodic solution for BAM neural networks with periodic coefficients and delays
Resonance tuning of a neuromechanical system with two negative sensory feedback configurations
Connectionist functionality and the emergent network behavior
Face clustering using a novel density peaks clustering algorithm
Improving mixing rate with tempered transition for learning restricted Boltzmann machines
A kernel-based intuitionistic weight fuzzy k-modes algorithm using coupled chained P system combines DNA genetic rules for categorical data
Residual attentive feature learning network for salient object detection
Robust tensor decomposition based on Cauchy distribution and its applications
Recent advances in convolutional neural network acceleration
Constrained common cluster based model for community detection in temporal and multiplex networks
Close-set camera style distribution alignment for single camera person re-identification
Topographic independent component analysis as a model of V1 organization and receptive fields
Hypergraph network model for nested entity mention recognition
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods
Sampled-data static output-feedback control for nonlinear systems in T-S form via descriptor redundancy
Harmony score-guided inpainting: Iterative refinement for seamless image inpainting
Online sparse class imbalance learning on big data
Dual Swin-transformer based mutual interactive network for RGB-D salient object detection
Applicable artificial intelligence for brain disease: A survey
Enhancing class-incremental object detection in remote sensing through instance-aware distillation
Adaptive neural networks-based visual servoing control for manipulator with visibility constraint and dead-zone input
EHSO: Evolutionary Hybrid Sampling in overlapping scenarios for imbalanced learning
Decentralized output feedback adaptive NN tracking control of interconnected nonlinear time-delay systems with prescribed performance
Impulsive generalized high-order recurrent neural networks with mixed delays: Stability and periodicity
Spam filtering using semantic similarity approach and adaptive BPNN
Semantic facial descriptor extraction via Axiomatic Fuzzy Set
Performance bounds of complex-valued nonlinear estimators in learning systems
Evolving novelty detectors for specific applications
Evolving artificial neural networks for short term load forecasting
Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization
Detecting community structure and structural hole spanner simultaneously by using graph convolutional network based Auto-Encoder
Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking
Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning
Generative adversarial network for Table-to-Text generation
Nonlinear process control with neural nets
PITAGORAS-PSP: Including domain knowledge in a multi-objective approach for protein structure prediction
WALLAX: A memristor-based Gaussian random number generator
Signal flow in a prefrontal cortical circuit model for working memory loading
Optimal solution to crossbar packet-switch problems using a sequential binary Hopfield neural network
A neuronal model of the language cortex
Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification
Mixed H ∞ and passivity based state estimation for fuzzy neural networks with Markovian-type estimator gain change
Hamiltonian streamline-guided features
SMANet: Sequence-enhanced multi-head attention network for robust neural semantic learning in noisy computational environments
On the stability and bias-variance analysis of sparse SVMs
A multi-objective memetic algorithm for automatic adversarial attack optimization design
Observer-based adaptive fuzzy prescribed performance control for feedback linearizable MIMO nonlinear systems with unknown control direction
A massively parallel pipelined reconfigurable design for M-PLN based neural networks for efficient image classification
DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy
Real-time POI recommendation via modeling long- and short-term user preferences
Graph-enhanced context aware framework for session-based recommendation
ECANet: Explicit cyclic attention-based network for video saliency prediction
Robust consensus-aware network for 3D point registration
Towards tags ranking for social images
A model for biological winner-take-all neural competition employing inhibitory modulation of NMDA-mediated excitatory gain
Robust subspace clustering via penalized mixture of Gaussians
Estimation of human body shape and cloth field in front of a kinect
Temporally asymmetric Hebbian learning and neuronal response variability
Learning efficient internal representations from natural image collections
Impulsive Cohen-Grossberg BAM neural networks with mixed time-delays: An exponential stability analysis issue
EACP: An effective automatic channel pruning for neural networks
Structured sparse representation for human action recognition
GraphixMatch: Improving semi-supervised learning for graph classification with FixMatch
Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach
Adaptive singularity-free controller design of constrained nonlinear systems with prescribed performance
A review of deep learning segmentation methods for carotid artery ultrasound images
Permanent oscillations in a 3-node recurrent neural network model
Input convex neural networks in nonlinear predictive control: A multi-model approach
Forgetting memristors and memristor bridge synapses with long- and short-term memories
Weighted bilinear coding over salient body parts for person re-identification
KING: An efficient optimization approach
Dynamic event-triggered and self-triggered output feedback control of networked switched linear systems
Effect of three-stage cascade of opinion dynamics models in coupled networks
The graph embedded topic model
Multimodal graph neural network for video procedural captioning
Temporal processing in the exponential integrate-and-fire model is nonlinear
Cluster synchronization of two-layer nonlinearly coupled multiplex networks with multi-links and time-delays
Refining and reweighting pseudo labels for weakly supervised object detection
Stochastic saliency-based search model for search asymmetry with uncertain targets
Exploring dropout discriminator for domain adaptation
High temperature superconductor neurocomputing
Salient object detection via color and texture cues
Harnessing continual learning and equivariant GNNs for seizure detection in EEG time series
A neurodynamical model to simulate neural activities in visual attention experiments
Using a stacked residual LSTM model for sentiment intensity prediction
Adaptive incremental learning of image semantics with application to social robot
pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems
The essential order of approximation for Suzuki's neural networks
Refining accuracy of environmental data prediction by MoG neural networks
A background modeling and foreground segmentation approach based on the feedback of moving objects in traffic surveillance systems
Finite-time robust stochastic stability of uncertain stochastic delayed reaction-diffusion genetic regulatory networks
Improving the prediction of average total ozone in column over the Iberian Peninsula using neural networks banks
A smartly simple way for joint crowd counting and localization
PLTN: Noisy label learning in long-tailed medical images with adaptive prototypes
Binary classifiers ensemble based on Bregman divergence for multi-class classification
Integrating adaptive moving window and just-in-time learning paradigms for soft-sensor design
Reducing hallucination in MLLMs for action recognition with adaptive masking and dual prompting
MLE-based localization and performance analysis in probabilistic LOS/NLOS environment
Gain modulation and balanced synaptic input in a conductance-based neural model
Affordances, effectivities, and assisted imitation: Caregivers and the directing of attention
Hyperspectral image target detection via integrated background suppression with adaptive weight selection
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control
An ART-based modular architecture for learning hierarchical clusterings
Self-supervised multi-blind network for real image denoising via multivariate Gaussian-poisson noise
EADP: An extended adaptive density peaks clustering for overlapping community detection in social networks
Adaptive learning algorithms to incorporate additional functional constraints into neural networks
Coordinated obstacle avoidance with reduced interaction
Attribute enhanced random walk for community detection in attributed networks
Bio-inspired adaptive formation tracking control for swarm systems with application to UAV swarm systems
Semi-global containment control of discrete-time linear systems with actuator position and rate saturation
An improved PSO-based ANN with simulated annealing technique
Brightness and contrast controllable image enhancement based on histogram specification
A multi-layer deep fusion convolutional neural network for sketch based image retrieval
Exponential stability and periodic solutions of FCNNs with variable coefficients and time-varying delays
Resource allocation based on quantum particle swarm optimization and RBF neural network for overlay cognitive OFDM System
UA-FER: Uncertainty-aware representation learning for facial expression recognition
Be your own doctor: Temperature scaling self-knowledge distillation for medical image classification
A data-driven predictive control strategy with application to tandem cold rolling process
Global exponential stability of the periodic solution of delayed Cohen-Grossberg neural networks with discontinuous activations
A reconfigurable neuroprocessor for self-organizing feature maps
A self-organizing map with homeostatic synaptic scaling
Guest editorial: Bridging the semantic gap in multimedia understanding
Modified bidirectional extreme learning machine with Gram-Schmidt orthogonalization method
Text detection in natural scene images based on color prior guided MSER
Lattice duality: The origin of probability and entropy
Long term memory: Encoding and storing strategies of the brain