yusuke1997/dblp-id-title huggingface dataset:
Efficient active learning using recursive estimation of error reduction
Convergence analysis of Xu's LMSER learning algorithm via deterministic discrete time system method
O-Shape: Outlier-robust shape-based clustering for time series
Information representation with an ensemble of Hodgkin-Huxley neurons
Rethinking two-dimensional camera motion estimation assessment for digital video stabilization: A camera motion field-based metric
Improved reciprocally convex inequality for stability analysis of neural networks with time-varying delay
Neural fashion experts: I know how to make the complementary clothing matching
Secure synchronization of stochastic neural networks under deception attacks: An event-based intermittent impulsive approach
Multilayer RTD-memristor-based cellular neural networks for color image processing
An efficient hardware-oriented dropout algorithm
End-to-end masked graph-based CRF for joint slot filling and intent detection
Generalized multi-synchronization: A leader-following consensus problem of multi-agent systems
Constructive training of recurrent neural networks using hybrid optimization
Deep learning for detection of text polarity in natural scene images
A piece-wise harmonic Langevin model of EEG dynamics: Theory and application to EEG seizure detection
Laplacian bidirectional PCA for face recognition
MoKA-HP: Motion-aware KAdaptation with historical prompts for efficient and robust RGB-T tracking
Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy
Evolutionary prototype selection for multi-output regression
A fuzzy ordinary regression method for modeling customer preference in tea maker design
Robust adaptive neural tracking control for a class of switched affine nonlinear systems
Neural computing for grey Richards differential equation to forecast traffic parameters with various time granularity
Branching point effects on the passive properties of the cerebellar granule cell axon
Singularities in the identification of dynamic systems
Multi-directional representation of spatial working memory in a model prefrontal cortical circuit
Unsupervised facial expression recognition using domain adaptation based dictionary learning approach
K-order echo-type spiking neural P systems for time series forecasting
New newborn jaundice monitoring scheme based on combination of pre-processing and color detection method
NaNG-ST: A natural neighborhood graph-based self-training method for semi-supervised classification
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
Boosting weighted ELM for imbalanced learning
Elite Loss for scene text detection
SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size
Nonstationary data stream classification with online active learning and siamese neural networks ✩
Discrete-time dynamic graph echo state networks
Dynamic integration of preference and knowledge status for knowledge concept recommendation
Supervised contrastive learning for graph representation enhancement
Chimeras in an adaptive neuronal network with burst-timing-dependent plasticity
Adaptive chaotification of robot manipulators via neural networks with experimental evaluations
Application of arachnid prey localisation theory for a robot sensorimotor controller
Water quality monitoring method based on feedback self correcting dense connected convolution network
Group-feature (Sensor) selection with controlled redundancy using neural networks
Affective saliency map considering psychological distance
Overlapping cell assemblies from correlators
Fault-tolerant and attack-tolerant cooperative event-triggered sampled-data security control for synchronization of RDNNs with stochastic actuator failures and random deception attacks
Simultaneous estimation of joint angle and interaction force towards sEMG-driven human-robot interaction during constrained tasks
Joint super-resolution and inverse tone-mapping: A feature decomposition aggregation network and a new benchmark
Adaptive graph regularization and self-expression for noise-aware feature selection
Physically-guided open vocabulary segmentation with weighted patched alignment loss
Denoising Laplacian multi-layer extreme learning machine
Deep unsupervised multi-modal fusion network for detecting driver distraction
Overcoming the Price of Anarchy by Steering with Recommendations
Fault-tolerant synchronization of drive-response memristive competitive neural networks with multiple actuator failures
Efficient Strip-shaped Convolutional Attention Network via feature-based semi-online distillation for image super-resolution
Automatic data-free pruning via channel similarity reconstruction
Twin Neural Networks for the classification of large unbalanced datasets
Upcycling adversarial attacks for infrared object detection
Improvement of video coding efficiency based on sparse contractive mapping approach
Parameter-efficient hierarchical spatio-temporal graph network with specialized label smoothing for qualitative EEG emotion recognition
Correlation analysis of signal flow in a model prefrontal cortical circuit representing multiple target locations
Deep heterogeneous network embedding based on Siamese Neural Networks
Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation
A spike train analysis for detecting temporal integration in neurons
DCVSMNet: Double Cost Volume Stereo Matching Network
Dissipativity of impulsive matrix-valued neural networks with leakage delay and mixed delays
Robustness and generalization for metric learning
Visual tracking with structural appearance model based on extended incremental non-negative matrix factorization
Multi-target regression via non-linear output structure learning
Clothescounter: A framework for star-oriented clothes mining from videos
An incrementally cascaded broad learning framework to facial landmark tracking
Observer-based consensus for linear multi-agent systems with intermittent communication
Delayed chaotic neural network with annealing controlling for maximum clique problem
Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution
Knowledge distillation based on decision boundary instances generated by DBI-GAN
Regression tree ensembles for wind energy and solar radiation prediction
Corrigendum to "Methods to balance the exploration and exploitation in Differential Evolution from different scales: A survey" [Neurocomputing 561 (2023) 126899]
SubMIL: Discriminative subspaces for multi-instance learning
Hybrid trilinear and bilinear programming for aligning partially overlapping point sets
An information geometric framework for the optimization on a discrete probability spaces: Application to human trajectory classification
Simple zero singularity analysis in a coupled FitzHugh-Nagumo neural system with delay
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images
A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation
Support vector regression as a signal discriminator in high energy physics
SEMPose: A single end-to-end network for multi-object pose estimation
Investigating macro-level hotzone identification and variable importance using big data: A random forest models approach
Transferring deep knowledge for object recognition in Low-quality underwater videos
Real-time online learning of Gaussian mixture model for opacity mapping
A data-efficient goal-directed deep reinforcement learning method for robot visuomotor skill
Encoding subcomponents in cooperative co-evolutionary recurrent neural networks
Deep manifold embedding of attributed graphs
Physics-aware parameter diffusion for spatio-temporal continuum field modeling for governance
MGML: Momentum group meta-learning for few-shot image classification
Improving clustering with constrained communities
Semi-blind image restoration using a local neural approach
Distributed adaptive finite-time tracking for multi-agent systems and its application
Predicting salient object via multi-level features
An incremental model on search engine query recommendation
Median-mean line based discriminant analysis
On computational limitations of self-organization
Design and construction of an autonomous underwater vehicle
Enhancing video frame interpolation with region of motion loss and self-attention mechanisms: A dual approach to address large, nonlinear motions
Classification of malware for self-driving systems
Projective nonnegative matrix factorization for social image retrieval
Personalized search for social media via dominating verbal context
EAP: An effective black-box impersonation adversarial patch attack method on face recognition in the physical world
A debiased self-training framework with graph self-supervised pre-training aided for semi-supervised rumor detection
Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks
Chaos feature study in fractional Fourier domain for preictal prediction of epileptic seizure
A study on residence error of training an extreme learning machine and its application to evolutionary algorithms
Deep NMF topic modeling
A novel face recognition method based on sub-pattern and tensor
Affective interaction based on person-independent facial expression space
Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering
Cognitive informatics in image semantics description, identification and automatic pattern understanding
A model of angle selectivity development in visual area V2
Influence of dendritic topology on firing patterns in model neurons
WSODPB: Weakly supervised object detection with PCSNet and box regression module
Explore Modeling Relation Information and Direction Information in KBQA
ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation
A multiobjective optimization-based neural network model for short-term replenishment forecasting in fashion industry
An adaptive temporal-causal network model for social networks based on the homophily and more-becomes-more principle
Stochastic dynamic modeling of lithium battery via expectation maximization algorithm
Object recognition in image sequences with cellular neural networks
A multi-scale fusion scheme based on haze-relevant features for single image dehazing
Combining biometric matchers by means of machine learning and statistical approaches
A multi-task learning model with adversarial data augmentation for classification of fine-grained images
Speeded-up Convolution Neural Network for classification tasks using multiscale 2-dimensional decomposition
Couple-group consensus for discrete-time heterogeneous multiagent systems with cooperative-competitive interactions and time delays
Further study on finite-time synchronization for delayed inertial neural networks via inequality skills
Active learning on anchorgraph with an improved transductive experimental design
An efficient action proposal processing approach for temporal action detection
Multi-agent cooperative strategy with explicit teammate modeling and targeted informative communication
Addressing bayes imbalance in partial label learning via range adaptive graph guided disambiguation
On cell assemblies in a cortical column
Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming
GDHS: An efficient hybrid sampling method for multi-class imbalanced data classification
Missing signal reconstruction and aileron fault detection via generative adversarial learning
A mathematical solution to a Network Designing Problem
Passivity for coupled quaternion-valued neural networks with multiple derivative couplings
Stability analysis of high-order Hopfield type neural networks with uncertainty
A real-time topography of maximum contact pressure distribution at medial tibiofemoral knee implant during gait: Application to knee rehabilitation
Output feedback NN tracking control for fractional-order nonlinear systems with time-delay and input quantization
Hyperspectral image nonlinear unmixing and reconstruction by ELM regression ensemble
Gated Region-Refine pose transformer for human pose estimation
A concept reduction approach for fuzzy cognitive map models in decision making and management
CMFF6D: Cross-modality multiscale feature fusion network for 6D pose estimation
Coarse-to-fine object detection in unmanned aerial vehicle imagery using lightweight convolutional neural network and deep motion saliency
ScalingNet: Extracting features from raw EEG data for emotion recognition
An adaptive nonmonotone active set - weight constrained - neural network training algorithm
Palmprint recognition with 2DPCA+PCA based on modular neural networks
Scaling properties of neural networks for job-shop scheduling
Tracking analysis of coupled continuous networks based on discontinuous iterative learning control
CapsulePose: A variational CapsNet for real-time end-to-end 3D human pose estimation
On-line adaptive control for inverted pendulum balancing based on feedback-error-learning
An incremental extreme learning machine for online sequential learning problems
Adaptive fuzzy tracking control for nonlinear strict-feedback systems with unmodeled dynamics via backstepping technique
Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information
Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform
Short term memory in input-driven linear dynamical systems
Exponential stability of a class of generalized neural networks with time-varying delays
Recent advances and trends in visual tracking: A review
A neural scheme for optical flow computation based on Gabor filters and generalized gradient method
An alternative formulation of kernel LPP with application to image recognition
Multiple-Instance ranking based deep hashing for multi-Label image retrieval
On cropped versus uncropped training sets in tabular structure detection
Boosting the performance of over-sampling algorithms through under-sampling the minority class
Parameterless reconstructive discriminant analysis for feature extraction
The model of glutamate-induced intracellular Ca 2+ oscillation and intercellular Ca 2+ wave in brain astrocytes
VAE-based Deep SVDD for anomaly detection
Mixed H ∞ and passive event-triggered reliable control for T-S fuzzy Markov jump systems
Adaptive synchronization for stochastic neural networks of neutral-type with mixed time-delays
Two-stage nonparametric kernel leaning: From label propagation to kernel propagation
Geometric mean metric learning for partial label data
SiSL-Net: Saliency-guided self-supervised learning network for image classification
A review of neural architecture search
Dynamic event-triggered-based online IRL algorithm for the decentralized control of the input and state constrained large-scale unmatched interconnected system
Reinforcement learning using expectation maximization based guided policy search for stochastic dynamics
Meta-evaluation of robustness metrics: An in-depth analysis
Robust regularized extreme learning machine for regression using iteratively reweighted least squares
Sparse coding for image denoising using spike and slab prior
Decoding acupuncture electrical signals in spinal dorsal root ganglion
Rapid pedestrian detection in unseen scenes
Knowledge attention sandwich neural network for text classification
Semi-supervised regression with manifold: A Bayesian deep kernel learning approach
Sparse and robust alternating direction method of multipliers for large-scale classification learning
Hybrid deep neural networks for recommender systems
Convergence of batch gradient learning algorithm with smoothing L 1/2 regularization for Sigma-Pi-Sigma neural networks
An analysis of the impact of subsampling on the neural network error surface
Finite-time stability of fractional-order quaternion-valued memristive neural networks with time delay
Data-driven adaptive optimal control for stochastic systems with unmeasurable state
Wavelet transform and texture recognition based on spiking neural network for visual images
Kernelized transformed subspace clustering with geometric weights for non-linear manifolds
Hybrid no-propagation learning for multilayer neural networks
Temporal pattern-aware QoS prediction by Biased Non-negative Tucker Factorization of tensors
A novel recursive T-S fuzzy semantic modeling approach for discrete state-space systems
SFIMCO: Scalable fair influence maximization based on overlapping communities and optimization algorithms
Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm
Interaction of neuronal and network mechanisms on firing propagation in a feedforward network
Structure tensor and nonsubsampled shearlet transform based algorithm for CT and MRI image fusion
Reinforcement learning and dopamine in the striatum: A modeling perspective
Generalized ℓ P -regularized representation for visual tracking
Non-fragile filtering for fuzzy systems with state and disturbance dependent noise
Hessian sparse coding
Kernel minimum error entropy algorithm
Nearest convex hull classification by using Lotka-Volterra recurrent neural networks
Crowd counting based on attention-guided multi-scale fusion networks
Evaluating Quantum Neural Network filtered motor imagery brain-computer interface using multiple classification techniques
An adaptive growing grid model for a non-stationary environment
Iterative multi-order feature alignment for JPEG mismatched steganalysis
Cross-trajectory spatiotemporal fusion for user identity linkage
Finite-time synchronization of memristor-based neural networks with mixed delays
An analysis of global robust stability of delayed dynamical neural networks
Closed-loop seizure modulation via extreme learning machine supervisor based sliding mode disturbance rejection control
Data driven modeling and stability analysis for stochastic interconnected systems with uncertainties
Rough Neuron based on Pattern Space Partitioning
Incorporating query constraints for autoencoder enhanced ranking
Dynamical computation reservoir emerging within a biological model network
A Pong playing agent modelled with massively overlapping cell assemblies
Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers
Consensus of a heterogeneous multi-agent system with input saturation
Exploring interaction concepts for human-object-interaction detection via global- and local-scale enhancing
A modified Elman neural network with a new learning rate scheme
Online SSVEP-based BCI using Riemannian geometry
Gene selection using information gain and improved simplified swarm optimization
A novel and efficient model pruning method for deep convolutional neural networks by evaluating the direct and indirect effects of filters
Real-time lightweight drone detection model: Fine-grained Identification of four types of drones based on an improved Yolov7 model
Image classification based on low-rank matrix recovery and Naive Bayes collaborative representation
EXtreme gradient boosting Mix-Fit-Standalone: A high-performance gradient boosting tree framework for Vertical federated learning
Adjustable iterative Q-learning for advanced neural tracking control with stability guarantee
View independent object classification by exploring scene consistency information for traffic scene surveillance
Detection of incipient faults in EMU braking system based on data domain description and variable control limit
Comparison of two topological approaches for dealing with noisy labeling
Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure
A concise review of recent few-shot meta-learning methods
Personalized and privacy-enhanced federated learning framework via knowledge distillation
A parallel algorithm for solving the 'Hip' games
Finite-time synchronization of stochastic complex networks with random coupling delay via quantized aperiodically intermittent control
Classification of multispectral images in coral environments using a hybrid of classifier ensembles
Further synchronization in finite time analysis for time-varying delayed fractional order memristive competitive neural networks with leakage delay
Improving consistency of marine mammals tracking in challenging drone recordings through visual particle filter integration
Classify and generate: Using classification latent space representations for image generations
Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation
An Introduction to Neural Computing, 2nd editon I. Aleksander and H. Morton; International Thomson Computer Press, London, 1995, pp 284, ISBN 1-85032-167-1
Multi-scale spatio-temporal memory network for semi-supervised video object segmentation
Multi-object tracking in traffic environments: A systematic literature review
LGFCNN: A synergistic framework integrating graph-based spatial filter and lightweight CNN for SSVEP recognition
Co-regularized unsupervised feature selection
Genetic algorithm for optimizing service distributions
Community-based seeds selection algorithm for location aware influence maximization
A computational theory of targeting movements based on force fields and topology representing networks
A novel distribution-based feature for rapid object detection
A novel rumor detection method focusing on social psychology with graph attention network
Hybrid level set method based on image diffusion
On developmental mental architectures
Backdoor defense framework with sparse training and detection in federated learning
Neuroscholar 1.00, a neuroinformatics databasing website
Transformations in variational Bayesian factor analysis to speed up learning
Dynamic neural network-based fault diagnosis of gas turbine engines
Synchronization of multi-links impulsive fractional-order complex networks via feedback control based on discrete-time state observations
A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting
DCM_MCCKF: A non-Gaussian state estimator with adaptive kernel size based on CS divergence
Online common change-point detection in a set of nonstationary categorical time series
Physics Informed Extreme Learning Machine (PIELM)-A rapid method for the numerical solution of partial differential equations
A model of magnetic stimulation of neocortical neurons
Global parameter estimation of an Hodgkin-Huxley formalism using membrane voltage recordings: Application to neuro-mimetic analog integrated circuits
On the bias of batch Bellman residual minimisation
Support vector machines with the ε-insensitive pinball loss function for uncertain data classification
Community detection method using improved density peak clustering and nonnegative matrix factorization
Towards high-quality thermal infrared image colorization via attention-based hierarchical network
Stochastic synchronization for Markovian coupled neural networks with partial information on transition probabilities
CRF based text detection for natural scene images using convolutional neural network and context information
Delay-dependent H ∞ synchronization for chaotic neural networks with network-induced delays and packet dropouts
Model-based reinforcement learning: a computational model and an fMRI study
A reinforcement learning approach for adaptive tracking control of a reusable rocket model in a landing scenario
Decision maker iterative-based framework for multiobjective robust optimization
Sharp image estimation from a depth-involved motion-blurred image
New reliable H ∞ filter design for networked control systems with external disturbances and randomly occurring sensor faults
Saliency detection via joint modeling global shape and local consistency
Algebraic geometry of singular learning machines and symmetry of generalization and training errors
Small margin ensembles can be robust to class-label noise