yusuke1997/dblp-id-title huggingface dataset:
STD-Explain: Generalizing explanations for spatio-temporal graph convolutional networks based on spatio-temporal decoupled perturbation
Incremental kernel spectral clustering for online learning of non-stationary data
Initialization-free distributed prescribed-time consensus based algorithm for economic dispatch problem over directed network
Back-propagation learning algorithm and parallel computers: The CLEPSYDRA mapping scheme
A neural mechanism of AM frequency selectivity of pyramidal cell circuit in electrosensory lateral-line lobe of weakly electric fish
Fault-tolerant system design on cloud logistics by greener standbys deployment with Petri net model
Spectral-spatial classification for hyperspectral image based on a single GRU
Neural code metrics: Analysis and application to the assessment of neural models
Stability of stochastic Markovian jump neural networks with mode-dependent delays
Variational inference for Student- t models: Robust Bayesian interpolation and generalised component analysis
Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder
An inverse-free Getz-Marsden dynamic system and its eleven-instant discrete model for time-variant linear equations solving
Artificial neural network using pattern recognition for security assessment and analysis
Shifting spatial attention - Numerical model of Posner experiment
A hybrid medical text classification framework: Integrating attentive rule construction and neural network
On the delay bound for coordination of multiple generic linear agents under arbitrary topology with time delay
Cumulative attribute relation regularization learning for human age estimation
Enhanced non-negative matrix factorization via adaptive weighted bipartite graph learning for clustering problems
A self-generating modular neural network architecture for supervised learning
FCN+: Global receptive convolution makes FCN great again
Learning category distance metric for data clustering
Temporal association based on dynamic depression synapses and chaotic neurons
Partial label learning via weighted centroid clustering disambiguation
SiTrEx: Siamese transformer for feedback and posture correction on workout exercises
Deep and wide feature based extreme learning machine for image classification
Sparse representation based undersampled face recognition with shared prototype-auxiliary dictionaries
Synchronization of complex dynamical network with piecewise constant argument of generalized type
The plenoptic spectrum analysis and reconstruction filter design for the occlusive scene
Control of a simulated arm using a novel combination of cerebellar learning mechanisms
A self-learning image super-resolution method via sparse representation and non-local similarity
Multiscale blur detection by learning discriminative deep features
Finite-iteration learning tracking of multi-agent systems via the distributed optimization method
Effects of the parameters on the oscillation frequency of Izhikevich spiking neural networks
Anti-synchronization analysis and pinning control of multi-weighted coupled neural networks with and without reaction-diffusion terms
Attention-aware concentrated network for saliency prediction
Domain adaptive twin support vector machine learning using privileged information
An organizing center for planar neural excitability
Robust iris recognition using sparse error correction model and discriminative dictionary learning
Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
Research on computational intelligence algorithms with adaptive learning approach for scheduling problems with batch processing machines
Deep Differentiable Symbolic Regression Neural Network
Detecting and counting people using real-time directional algorithms implemented by compute unified device architecture
Face inpainting network for large missing regions based on weighted facial similarity
Large language model-based evolutionary optimizer: Reasoning with elitism
Initialization by selection for wavelet network training
Chaotic recurrent neural networks and their application to speech recognition
Spatial-temporal knowledge graph network for event prediction
Optimized projections for sparse representation based classification
Differential evolution based on fitness Euclidean-distance ratio for multimodal optimization
Granular neural networks
Adaptive neural networks-based event-triggered formation control for multi-robot source localization
Cancer recognition with bagged ensembles of support vector machines
BorderPointsMask: One-stage instance segmentation with boundary points representation
Facial age range estimation with extreme learning machines
An automata network for performing combinatorial optimization
Event-triggered exponential synchronization of complex dynamical networks with cooperatively directed spanning tree topology
Conditional simultaneous localization and mapping: A robust visual SLAM system
Knowledge-enhanced neural networks for sentiment analysis of Chinese reviews
A dynamical model for the vertical vestibuloocular reflex and optokinetic response in primate
Pair-wise aspect and opinion terms extraction as graph parsing via a novel mutually-aware interaction mechanism
Circular-ELM for the reduced-reference assessment of perceived image quality
Spatially organized spike correlation in cat visual cortex
Hard and fuzzy diagonal co-clustering for document-term partitioning
Introducing new node prediction in graph mining: Predicting all links from isolated nodes with Graph Neural Networks
Synchronization of nonidentical complex dynamical networks with unknown disturbances via observer-based sliding mode control
Remarks on the Article by X.B. Nie, J.D. Cao and S.M. Fei "Multistability and instability of delayed competitive neural networks with nondecreasing piecewise linear activation functions"
Disturbance observer based adaptive neural control of uncertain MIMO nonlinear systems with unmodeled dynamics
Multi-contour registration based on feature points correspondence and two-stage gene expression programming
Application of the OBD method for optimization of neural state variable estimators of the two-mass drive system
Integrating low-level and semantic features for object consistent segmentation
Robust doubly stochastic graph clustering
Analysis of the dynamical behavior of a feedback auto-associative memory
A dual association model for the extinction of animal conditioning
Large-scale robust transductive support vector machines
Frequency-aware fusion for improved video object segmentation
On the influence of input triggering on the dynamics of the Jansen-Rit oscillators network
Model of carbachol-induced gamma-frequency oscillations in hippocampus
Distributed event-triggered circle formation control for multi-agent systems with limited communication bandwidth
An MDL-based Hammerstein recurrent neural network for control applications
Nongeometric and nonparametric pattern recognitions using smarter neurons for size-limited nets
RehearMixup: Improving rehearsal-based continual learning
Adaptive sensor modelling and classification using a continuous restricted Boltzmann machine (CRBM)
Hardware architecture for a general regression neural network coprocessor
Finite-time H ∞ sampled-data synchronization for Markovian jump complex networks with time-varying delays
UA-PDFL: A personalized approach for decentralized federated learning
Adaptive multi-cue based particle swarm optimization guided particle filter tracking in infrared videos
Learning a physics-based filter attachment for hyperspectral imaging with RGB cameras
An object-based visual selection framework
Single image haze removal based on haze physical characteristics and adaptive sky region detection
Editorial: Human visual saliency and artificial neural attention in deep learning
Incremental value iteration for optimal output regulation of linear systems with unknown exosystems
An efficient indexing scheme for face database using modified geometric hashing
IEFM and IDS: Enhancing 3D environment perception via information encoding in indoor point cloud semantic segmentation
Medical media analytics via ranking and big learning: A multi-modality image-based disease severity prediction study
Mining user-contributed photos for personalized product recommendation
Predicting long-term returns of individual stocks with online reviews
A novel robust kernel for visual learning problems
Difficulty level-based knowledge distillation
Decentralized control design for switched fuzzy large-scale systems with H ∞ performance
A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task
Facial sketch synthesis with multi-level guided latent diffusion model
HELP: An LSTM-based approach to hyperparameter exploration in neural network learning
Multi-resolution Patch-based Fourier Graph Spectral Network for spatiotemporal time series forecasting
Asymptotic stability of delayed fractional-order neural networks with impulsive effects
An entangled mixture of variational autoencoders approach to deep clustering
Subspace ensemble learning via totally-corrective boosting for gait recognition
RadarNet: A parallel spatiotemporal encoder network for radar extrapolation
Minimal-learning-parameter technique based adaptive neural control of hypersonic flight dynamics without back-stepping
Computational modeling of cortical pathways involved in action execution and action observation
Adaptive NN control for nonlinear systems with uncertainty based on dynamic surface control
Robust delay-probability-distribution-dependent stability of uncertain genetic regulatory networks with time-varying delays
Temporal self-organizing maps for telecommunications market segmentation
A biologically inspired visual integrated model for image classification
Multi-perspective and multi-modality joint representation and recognition model for 3D action recognition
Deep semi-supervised clustering for multi-variate time-series
Exponential synchronization of nonlinear complex dynamic networks via intermittent pinning control on time scales
Efficient subsampling of realistic images from GANs conditional on a class or a continuous variable
Center particle swarm optimization
Identification of acoustic emission sources for structural health monitoring applications based on convolutional neural networks and deep transfer learning
Indirect hierarchical FCMAC control for the ball and plate system
Random Bands: A novel ensemble for fingerprint matching
Facial action unit recognition using multi-class classification
Recovering the absolute phase maps of three selected spatial-frequency fringes with multi-color channels
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository
Robust state estimation for discrete-time genetic regulatory network with random delays
A low-cost and high-speed hardware implementation of spiking neural network
Executive attention, task selection and attention-based learning in a neurally controlled simulated robot
Medical imaging-based artificial intelligence in pneumonia: A narrative review
MarIns3D: An open-vocabulary 3D instance segmentation model with mask refinement
Kernel correlation filters for visual tracking with adaptive fusion of heterogeneous cues
Dynamic spatial-temporal feature optimization with ERI big data for Short-term traffic flow prediction
Deep Q-Network based real-time active disturbance rejection controller parameter tuning for multi-area interconnected power systems
Detecting double H.266/VVC compression with the same coding parameters
MIFNet: Multiple instances focused temporal action proposal generation
The architecture of a fault-tolerant modular neurocomputer based on modular number projections
Evolutionary product-unit neural networks classifiers
Noise-tolerant Z-type neural dynamics for online solving time-varying inverse square root problems: A control-based approach
Classification of small structures in piecewise-constant Mumford-Shah model
Resilience analysis and design of event-triggered offshore steel jacket structures
Higher-level feature combination via multiple kernel learning for image classification
Solving multi-class problems by data-driven topology-preserving output codes
A dual-layer supervised Mahalanobis kernel for the classification of hyperspectral images
Dynamics analysis of impulsive stochastic Cohen-Grossberg neural networks with Markovian jumping and mixed time delays
An information theory based learning paradigm for linear feature extraction
Learning low-rank kernel matrices for constrained clustering
Triple-BigGAN: Semi-supervised generative adversarial networks for image synthesis and classification on sexual facial expression recognition
Global asymptotic and robust stability of inertial neural networks with proportional delays
Reaction to neural signatures through excitatory synapses in central pattern generator models
Recognition method based on Green Associative Mechanism for weak contrast vehicle targets
Referenceless quality metric of multiply-distorted images based on structural degradation
Generation and evaluation of privacy preserving synthetic health data
Social dual-effect driven group modeling for neural group recommendation
An adaptive vector quantization approach for image segmentation based on SOM network
Color image segmentation using automatic pixel classification with support vector machine
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives
DefectDet: A deep learning architecture for detection of defects with extreme aspect ratios in ultrasonic images
Lightweight AI-driven traffic forecasting and shaping for 6G LEO satellite networks
Learning non-linear time-scales with kernel gamma-filters
Continuous authentication with a focus on explainability
A kernel-based method for pattern extraction in random process signals
IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces
Linear time identification of local and global outliers
Role of A-current in lamprey locomotor network neurons
An algorithm for event detection based on social media data
A data-driven online ADP control method for nonlinear system based on policy iteration and nonlinear MIMO decoupling ADRC
Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study
Unsupervised spiking neural network based on liquid state machine and self-organizing map
Maximum margin classification based on flexible convex hulls
A reliable method for the diagnosis of gastric carcinoma
Expression-robust 3D face recognition via weighted sparse representation of multi-scale and multi-component local normal patterns
3D human pose and shape estimation via de-occlusion multi-task learning
Margin distribution based bagging pruning
A self-organizing neural network architecture for learning human-object interactions
Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY
New results for global robust asymptotic stability of BAM neural networks with time-varying delays
Model-based subspace clustering of non-Gaussian data
Power spectral analysis of very slow brain potential oscillations in primary visual cortex of freely moving rats during darkness and light
How secure is forgetting? Linking machine unlearning to machine learning attacks
Ensemble of online neural networks for non-stationary and imbalanced data streams
Unmatched minutiae: Useful information to boost fingerprint recognition
Exponential synchronization of discrete-time impulsive dynamical networks with time-varying delays and stochastic disturbances
Adaptive neural control for switched nonlinear systems with unmodeled dynamics and unknown output hysteresis
State estimation for uncertain Markovian jump neural networks with mixed delays
Decoding time-varying calcium signals by the postsynaptic biochemical network: Computer simulations of molecular kinetics
Robust consensus control for a class of second-order multi-agent systems with uncertain topology and disturbances
Influence of topology on the performance of a neural network
Goal-directed behaviours by reinforcement learning
Event detection from traffic tensors: A hybrid model
Enhancing continual semantic segmentation with visual explanations and model adaptations
Median fuzzy c-means for clustering dissimilarity data
A brightness-adaptive kernel prediction network for inverse tone mapping
Robot path planning in uncertain environment using multi-objective particle swarm optimization
Few-shot human motion prediction using deformable spatio-temporal CNN with parameter generation
otsad: A package for online time-series anomaly detectors
Robustness analysis for connection weight matrix of global exponential stability recurrent neural networks
An extensive multi-variant deep neural network approach to enhance genomic prediction of endometriosis
Recent developments on deep big vision
Counting crowd flow based on feature points
Distributed Extreme Learning Machine with kernels based on MapReduce
Neighbouring-slice Guided Multi-View Framework for brain image segmentation
Synchronization of discrete-time neural networks with time delays subject to missing data
Efficient associative memory using small-world architecture
RGBT tracking via frequency-aware feature enhancement and unidirectional mixed attention
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools
ELM solutions for event-based systems
An evolutionary constructive and pruning algorithm for artificial neural networks and its prediction applications
A hybrid fuzzy-neural approach to job completion time prediction in a semiconductor fabrication factory
Adaptive dynamic programming-based visual servoing control for quadrotor
How accurate need sensory coding be for behaviour? Experiments using a mobile robot
Analysis and design of associative memories based on stability of cellular neural networks
Global µ -stability of quaternion-valued neural networks with mixed time-varying delays
Market demand estimation for new product development by using fuzzy modeling and discrete choice analysis
A methodical interpretation of adaptive robotics: Study and reformulation
Selective attention-based novelty scene detection in dynamic environments
Self-paced data augmentation for training neural networks
Incorporating image priors with deep convolutional neural networks for image super-resolution
A hierarchical positive and negative emotion understanding system based on integrated analysis of visual and brain signals
Training and compensation of class-conditioned NMF bases for speech enhancement
Stability of random brain networks with excitatory and inhibitory connections
Non-functional regression: A new challenge for neural networks
USIS: A unified semantic image synthesis model trained on a single or multiple samples
Hard sample mining makes person re-identification more efficient and accurate
SIFT Matching with CNN Evidences for Particular Object Retrieval
SPLAC: A single-step PTZ camera linear auto-calibration method
Cooperative strategy for constructing interval type-2 fuzzy neural network
Robust local metric learning via least square regression regularization for scene recognition
Neural learning of vector fields for encoding stable dynamical systems
Progressive face super-resolution with cascaded recurrent convolutional network
Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling
Highlighting heterogeneous samples to support vector machines' training
Multifocus image fusion via focus segmentation and region reconstruction
CVS: Fast cardinality estimation for large-scale data streams over sliding windows
Feature-driven layer specialization for label heterogeneous federated learning
Improving neural network's performance using Bayesian inference
Polar support vector machine: Single and multiple outputs
Improving neural machine translation with sentence alignment learning
Meta neurons improve spiking neural networks for efficient spatio-temporal learning
Breaking down violence detection: Combining divide-et-impera and coarse-to-fine strategies
CISK: An interactive framework for conceptual inference based spatial keyword query
Extreme learning control of surface vehicles with unknown dynamics and disturbances
An exponential-enhanced-type varying-parameter RNN for solving time-varying matrix inversion
Adaptive neural prescribed performance control for a class of strict-feedback stochastic nonlinear systems with hysteresis input
LLM-CG: Large language model-enhanced constraint graph for distantly supervised relation extraction
Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification
A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions
Hybrid multisynchronization of coupled multistable memristive neural networks with time delays
Ellipsoidal data description
Hierarchical collaboration for referring image segmentation
Graph clusterings with overlaps: Adapted quality indices and a generation model
Adaptive tracking control for input delayed MIMO nonlinear systems
Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing
Robust stability for a class of fractional-order complex-valued projective neural networks with neutral-type delays and uncertain parameters
Granule-view based feature extraction and classification approach to color image segmentation in a manifold space
Semi-supervised selective ensemble learning based on distance to model for nonlinear soft sensor development
Tracking objects using shape context matching
Super-resolution for facial image using multilateral affinity function
Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation
From honeybee to helicopter: A low-cost dual bionic model for flight control under hazardous situations
Effective active learning strategy for multi-label learning
Learning identity with radial basis function networks
Minimal model of calcium dynamics in two heterogeneous coupled cells
Multi-scroll and coexisting attractors in a Hopfield neural network under electromagnetic induction and external stimuli
Dual-dimensional contrastive learning for incomplete multi-view clustering
ASS-GAN: Asymmetric semi-supervised GAN for breast ultrasound image segmentation
Tag-aware recommender systems based on deep neural networks
A dynamic graph expansion network for multi-hop knowledge base question answering
Adjustable super-resolution network via deep supervised learning and progressive self-distillation
Probabilistic frequency-domain discrete wavelet transform for better detection of bearing faults in induction motors
Deep neural networks compression: A comparative survey and choice recommendations
Exact Gauss-Newton optimization for training deep neural networks
An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization
Knowledge-driven baseline for few-shot fine-grained visual recognition
A three-level Multiple-Kernel Learning approach for soil spectral analysis
LGAST: Towards high-quality arbitrary style transfer with local-global style learning
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model
A combined multi-winner multidirectional associative memory
Lyapunov stable learning laws for multilayer recurrent neural networks
HGSim: High-fidelity and generalizable simulation frame-work for autonomous driving scenes
Nonlinear system identification using memetic differential evolution trained neural networks
Proteinotopic feature maps
Real-time pricing scheme based on Stackelberg game in smart grid with multiple power retailers
Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams
Learning latent features by nonnegative matrix factorization combining similarity judgments
Dynamic behavior of the robust decorrelation process