yusuke1997/dblp-id-title huggingface dataset:
A non-negative sparse semi-supervised dimensionality reduction algorithm for hyperspectral data
Stability of chronic multichannel neural recordings: Implications for a long-term neural interface
Adaptive neural network tracking control-based reinforcement learning for wheeled mobile robots with skidding and slipping
Correlation between Situational Awareness and EEG signals
Machine learning using Bernoulli mixture models: Clustering, rule extraction and dimensionality reduction
All-in-one weather image restoration: Multi-modal attention and Bi-Directional Mamba Fusion
Momentum source-proxy guided initialization for unsupervised domain adaptive person re-identification
Attentive U-recurrent encoder-decoder network for image dehazing
Graphical model for mixed data types
Absolutely exponential stability of Cohen-Grossberg neural networks with unbounded delays
A robust adaptive neural control scheme to drive an actuated orthosis for assistance of knee movements
Pattern grouping algorithm and de-convolution filtering of non-stationary correlated Poisson processes
MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network
Adaptive imbalanced node classification graph contrastive learning
Extraction of vessel networks based on multiview projection and phase field model
A pre-selecting base kernel method in multiple kernel learning
An improved predictive function control algorithm via wavelet neural network for urban rail train tracking control
Security containment control for nonlinear MASs under DOS attacks: An improved adaptive method
Selective ensemble of multiple local model learning for nonlinear and nonstationary systems
Augmentative contrastive learning for one-shot object detection
M4Caster: Multi-source, multi-spatial, multi-temporal modeling for precipitation nowcasting
Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint
Realizing balanced object detection through prior location scale information and repulsive loss
A novel recurrent neural network with robust learning algorithm: Application to modeling of nonlinear complex systems
WPD and DE/BBO-RBFNN for solution of rolling bearing fault diagnosis
Physiological emotion analysis using support vector regression
Explorative learning of inverse models: A theoretical perspective
Image recognition system based on novel measures of image similarity and cluster validity
New delay-dependent stability results for discrete-time recurrent neural networks with time-varying delay
A patch-based measure for image dissimilarity
Identify influential nodes in social networks with graph multi-head attention regression model
Prediction models based on multivariate statistical methods and their applications for predicting railway freight volume
A framework for simulating axon guidance
Dynamic anchor-based deep multi-view subspace clustering network
The consistency analysis of gradient learning under independent covariate shift
Spike-driven incepformer: A hierarchical spiking transformer with inception-inspired feature learning
Nonnegative matrix factorization with quadratic programming
Global and local semantic enhancement of samples for cross-modal hashing
Bi-orientated rectification few-shot segmentation network based on fine-grained prototypes
A simple and efficient architecture for trainable activation functions
Synchronization analysis of fractional-order neural networks with time-varying delays via discontinuous neuron activations
Matrix factorization with heterogeneous multiclass preference context
Distributed cooperative communication nodes control and optimization reliability for resource-constrained WSNs
A feature-dependent fuzzy bidirectional flow for adaptive image sharpening
Modeling neuron spatial distribution and morphology in the developing human cerebral cortex
Projective Multi-Synchronization of Fractional-order Complex-valued Coupled Multi-stable Neural Networks with Impulsive Control
A review of graph neural networks and pretrained language models for knowledge graph reasoning
Facial expression recognition from image sequences using twofold random forest classifier
An ensemble method with sentiment features and clustering support
Super-k: A piecewise linear classifier based on Voronoi tessellations
Event-triggered output-based distributed observer over jointly connected networks and its application to the cooperative output regulation problem
Unsupervised feature selection via multi-step markov probability relationship
H ∞ state estimation for memristive neural networks with multiple fading measurements
Reverse engineering of temporal Boolean networks from noisy data using evolutionary algorithms
Polarized self-attention: Towards high-quality pixel-wise mapping
Analysis of phase shifts in clinical EEG evoked by ECT
Prescribed-time leader-following consensus for stochastic second-order multi-agent systems subject to actuator failures via sliding mode control strategy
A structure-guided approach to the prediction of natural image saliency
Particle filtering for networked nonlinear systems subject to random one-step sensor delay and missing measurements
Learning a blind quality evaluation engine of screen content images
Mitigating ransomware threats through network traffic analysis using hybrid quantum-attention stereoscopic neural networks
Discriminative analysis-synthesis dictionary learning for image classification
Neural network approach to contingency screening and ranking in power systems
Speech emotion recognition based on multi-feature speed rate and LSTM
Role of hyperpolarization-activated conductances in the auditory brainstem
ASCNet: 3D object detection from point cloud based on adaptive spatial context features
Event-triggered H∞ state estimation for discrete-time delayed switched stochastic neural networks with persistent dwell-time switching regularities and sensor saturations
Bayesian networks for interpretable machine learning and optimization
Towards accurate RGB-D saliency detection with complementary attention and adaptive integration
Cholesky factorization based online regularized and kernelized extreme learning machines with forgetting mechanism
Kernel based symmetrical principal component analysis for face classification
Bi-adapting kernel learning for unsupervised domain adaptation
Projective dictionary pair learning for EEG signal classification in brain computer interface applications
Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis
A hyper-heuristic with deep Q-network for the multi-objective unmanned surface vehicles scheduling problem
Localized active contour model with background intensity compensation applied on automatic MR brain tumor segmentation
Second-order consensus of multi-agent systems with nonlinear dynamics via impulsive control
An extended neural ordinary differential equation network with grey system and its applications
Sparse Ridgelet Kernel Regressor and its online sequential extreme learning
EvOL-Neuron: Neuronal morphology generation
A variational Bayesian approach for robust identification of linear parameter varying systems using mixture laplace distributions
Self-organization of color opponent receptive fields and laterally connected orientation maps
Gaussian process dynamic programming
Adaptive event-triggered consensus control of linear multi-agent systems with cyber attacks
Passivity-based fault-tolerant synchronization control of chaotic neural networks against actuator faults using the semi-Markov jump model approach
Improved deep neural network performance under dynamic programming mode
A multi-unit spike train analysis for quantifying phase relationships of near-synchrony firings
Immune memory clonal selection algorithms for designing stack filters
Data stream classification using active learned neural networks
Tracking vehicles as groups in airborne videos
Finite-frequency model reduction of discrete-time T-S fuzzy state-delay systems
Multi-source domain adaptation handling inaccurate label spaces
Recent advances on federated learning: A systematic survey
DoA-ViT: Dual-objective Affine Vision Transformer for Data Insufficiency
STCLR: Sparse Temporal Contrastive Learning for Video Representation
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation
ATM-based analysis and recognition of handball team activities
Generalized predictive control of a class of MIMO models via a projection neural network
Position encoding of global attention for weakly supervised entity alignment
Reduction of JPEG compression artifacts based on DCT coefficients prediction
Mean-square stability of stochastic quaternion-valued neural networks with variable coefficients and neutral delays
Oscillatory behaviors in pharmacologically isolated heart interneurons from the medicinal leech
Integral sliding mode control for stochastic Markovian jump system with time-varying delay
Reprint of: V-Proportion: A method based on the Voronoi diagram to study spatial relations in neuronal mosaics of the retina
Neuro-adaptive dynamic integral sliding mode control design with output differentiation observer for uncertain higher order MIMO nonlinear systems
Fast learning rates for sparse quantile regression problem
Adaptive control of nonlinear systems with full state constraints using Integral Barrier Lyapunov Functionals
Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model
Biologically inspired feature manifold for gait recognition
Object tracking using particle filter in the wavelet subspace
On the application of different evolutionary algorithms to the alignment problem in statistical machine translation
Nonlinear 2D shape registration via thin-plate spline and Lie group representation
A survey of machine learning and deep learning methods for vibration-based Bearing fault diagnosis: The need, challenges, and potential future research directions
A survey for multinational ultimodal risk classifier for chest diseases based on model optimization techniques
Domain models for data sources integration in HAR
Static output feedback stabilization for fractional-order systems in T-S fuzzy models
Fusion detection and ReID embedding with hybrid attention for multi-object tracking
A model of Frame and Verb Compliance in language acquisition
PAMG:Position-aware and multi-grained context fusion for optimized table-to-text generation
Canonical dual solutions to nonconvex radial basis neural network optimization problem
Synapto-synaptic interactions speed up dynamic link matching
3D facial expression modeling based on facial landmarks in single image
Application of neural network algorithm to CAD of magnetic systems
Imbalance multi-label data learning with label specific features
Noise robust face hallucination employing Gaussian-Laplacian mixture model
A review of Graph Neural Networks for Electroencephalography data analysis
Effect of state transition triggered by reinforcement learning in evolutionary prisoner's dilemma game
Modeling of plasticity of the synaptic connections in the lamprey spinal CPG - consequences for network behavior
A deep features based generative model for visual tracking
Performance-barrier-based event-triggered leader-follower consensus control for nonlinear multi-agent systems
Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications
Functional connectivity by cross-correlation clustering
Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19
Human body segmentation in static images by models with shape as guidance
Dual active set method for support vector machines under multi-constraint activation
Recognition of plant leaf image based on fractal dimension features
Graph-Based Similarity of Deep Neural Networks
Control and monitoring of a parallel processed neural network via the World Wide Web
Auroral event representation based on the n-ary fusion of multiple oriented energies
Biologically plausible mechanisms underlying motor response correction during reward-based decision-making
Multiple neural control of a greenhouse
Event-triggered H ∞ optimal control for continuous-time nonlinear systems using neurodynamic programming
Perceptual relativity-based local hyperplane classification
Model-based non-Gaussian interest topic distribution for user retweeting in social networks
A robust deep style transfer for headshot portraits
Finite-time consensus of multi-agent systems with continuous time-varying interaction topology
Finite-time adaptive neural decentralized tracking control for nonlinear output-constrained switched interconnected systems
Excitability range of medium spiny neurons widens through the combined effects of inward rectifying potassium current inactivation and dopaminergic modulation
Mixture of Gaussians for distance estimation with missing data
Towards low-resource rumor detection: Unified contrastive transfer with propagation structure
Automatic multi-way domain concept hierarchy construction from customer reviews
Aerial image change detection using dual regions of interest networks
Non-orthogonal joint diagonalization algorithm based on hybrid trust region method and its application to blind source separation
Distributed adaptive finite-time fault-tolerant formation-containment control for networked Euler-Lagrange systems under directed communication interactions
Bio-inspired model of ground temperature behavior on the horizontal geothermal exchanger of an installation based on a heat pump
Evolutionary fuzzification of RIPPER for regression: Case study of stock prediction
Hierarchical self-adaptation network for multimodal named entity recognition in social media
A further study on bifurcation for fractional order BAM neural networks with multiple delays
FADER: Fast adversarial example rejection
Generating self-attention activation maps for visual interpretations of convolutional neural networks
Unique association between self-occlusion and double-touching towards binding vision and touch
A cortical network model for clinical EEG data analysis
Shading- and geometry-aware lighting calibration network for uncalibrated photometric stereo
Synaptic depression and facilitation can induce motion aftereffects in an excitable membrane model of visual motion processing
Robust 2DLDA based on correntropy
Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings
Anchor-aware representation learning for multi-view clustering
ERBANet: Enhancing region and boundary awareness for salient object detection
Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer
Enhancing hexapod robot mobility on challenging terrains: Optimizing CPG-generated gait with reinforcement learning
Towards characterization of driver nodes in complex network with actuator saturation
LMI-based robust stability analysis of neural networks with time-varying delay
Regulation of specialists and generalists by neural variability improves pattern recognition performance
A graph regularized dimension reduction method for out-of-sample data
An efficient and expandable hardware implementation of multilayer cellular neural networks
Robust object tracking guided by top-down spectral analysis visual attention
Magnum: Tackling high-dimensional structures with self-organization
An intelligent hybrid morphological-rank-linear method for financial time series prediction
On synchronization of discontinuous competitive fuzzy neural networks with time-varying delays via non-chattering quantization
Computational performance optimization of support vector machine based on support vectors
Observer-based attack-resistant anti-disturbance control for finite-time synchronization of coupled switched reaction-diffusion neural networks
Robust adaptive neuronal controller for exoskeletons with sliding-mode
A spatial-aware joint optic disc and cup segmentation method
Geometric affine transformation estimation via correlation filter for visual tracking
Three-dimensional virtual colonoscopy for automatic polyps detection by artificial neural network approach: New tests on an enlarged cohort of polyps
INSS: A hybrid system for constructive machine learning
Concept, principle, and modeling of driving risk entropy based on human-vehicle-road coupling model for autonomous vehicle
Event-triggered funnel control for network systems with unknown dynamic leader based on BP neural networks
Flow-guided feature enhancement network for video-based person re-identification
Spike detection approaches for noisy neuronal data: Assessment and comparison
Preference modeling with multi-graph graph attention network
Face recognition under varying illuminations using logarithmic fractal dimension-based complete eight local directional patterns
Reduction of artificial bee colony algorithm for global optimization
A dual attention model based on probabilistically mask for 3D human motion prediction
Synchronization of multi-group coupled systems on networks with reaction-diffusion terms based on the graph-theoretic approach
Multi-attribute and relational learning via hypergraph regularized generative model
HAM-FMD: Mining functional modules in protein-protein interaction networks using ant colony optimization and multi-agent evolution
Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering
Optimized traffic emergency resource scheduling using time varying rescue route travel time
Combining pretrained CNN feature extractors to enhance clustering of complex natural images
Two dimensional ensemble hashing for visual tracking
A novel event-based fuzzy control approach for continuous-time fuzzy systems
Neural network-based adaptive position tracking control for bilateral teleoperation under constant time delay
SOIRP: Subject-Object Interaction and Reasoning Path based joint relational triple extraction by table filling
Pixel and feature level based domain adaptation for object detection in autonomous driving
Non-overlapping classification of hyperspectral imagery based on set-to-sets distance
Formalizing computational intensity of big traffic data understanding and analysis for parallel computing
Mean-square exponential stability for stochastic discrete-time recurrent neural networks with mixed time delays
Deciphering the transformation of sounds into meaning: Insights from disentangling intermediate representations in sound-to-event DNNs
BIMP: A real-time biological model of multi-scale keypoint detection in V1
CHI-PG: A fast prototype generation algorithm for Big Data classification problems
Improved texture image classification through the use of a corrosion-inspired cellular automaton
Offset equivariant networks and their applications
Quantifying the variability of patterns of orientation domains in the visual cortex of cats
A network model of speaker identification with new feature extraction methods and asymmetric BLSTM
A deep learning framework for heart rate estimation from facial videos
Influence of noise on discrete time backpropagation trained networks
Local Quantization Code histogram for texture classification
Neural adaptive fault-tolerant control for high-speed trains with input saturation and unknown disturbance
Multi-label relational classification via node and label correlation
Online singular value decomposition of time-varying matrix via zeroing neural dynamics
Event-triggered adaptive neural inverse optimal output-feedback control of steer-by-wire vehicle systems with prescribed performance
Predicting chaotic time series and replicating chaotic attractors based on two novel echo state network models
Neuromorphic event-based recognition boosted by motion-aware learning
Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1
Reinforcement learning of a simple control task using the spike response model
Balanced knowledge distillation for long-tailed learning
Selecting the best measures to discover quantitative association rules
An adaptable fuzzy reinforcement learning method for non-stationary environments
Adult content detection in videos with convolutional and recurrent neural networks
Pre-processing approaches for imbalanced distributions in regression
MLFork: Bearing fault diagnosis via Mamba-powered few-shot learning model with multi-level architecture enhanced by spatial-wise and channel-wise local vector attention
Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble
GAP: A group-based automatic pruning algorithm via convolution kernel fusion
Video super-resolution with inverse recurrent net and hybrid local fusion
EWNet: An early warning classification framework for smart grid based on local-to-global perception
Analysis of higher-order correlations in multiple parallel processes
Research on the mechanism for phonating stressed English syllables based on DIVA model
Towards real-time detection of underwater target with pruning lightweight deep learning method in side-scan sonar images
Light field saliency vs. 2D saliency: A comparative study
Learning in the presence of class imbalance and concept drift
Robust synchronization of coupled neural networks with mixed delays and uncertain parameters by intermittent pinning control
A theoretical framework for multiple neural network systems
Adaptive observer based on MLPNN and sliding mode for wearable robots: Application to an active joint orthosis
LLM-guided decision-making toolkit for multi-agent reinforcement learning
Effects of preprocessing and training biases in latent factor models for recommender systems
A dynamic-static feature fusion learning network for speech emotion recognition
Event-level supervised contrastive learning with back-translation augmentation for event causality identification
Deep feature tracking based on interactive multiple model
Broken and degraded document images binarization
Learning 3D spatiotemporal gait feature by convolutional network for person identification
Novel iterative approach using generative and discriminative models for classification with missing features
Mittag-Leffler stability analysis on variable-time impulsive fractional-order neural networks
New results on robust finite-time boundedness of uncertain switched neural networks with time-varying delays
Spherical symmetric 3D local ternary patterns for natural, texture and biomedical image indexing and retrieval
Constrained ZIP code segmentation by a PCNN-based thinning algorithm
Localization of activated Ca 2+ /calmodulin-dependent protein kinase II within a spine: modeling and computer simulation
IMCGNN: Information Maximization based Continual Graph Neural Networks for inductive node classification
Localized activations in a simple neural field model
Models of frequency preferences of prefrontal cortical neurons
A novel motion classification based intermode selection strategy for HEVC performance improvement
Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks
Explainable robo-advisor: An online learning framework for new investors without trading records
Image super-resolution using multi-granularity perception and pyramid attention networks
Deep learning in fringe projection: A review
WiFi-based driver's activity recognition using multi-layer classification
SC-BSN: Shifted Convolutions Based Blind-Spot Network for self-supervised image denoising
Proposal of frequency-domain multiplexing in optical neural networks
SPRInT: Scaling Programmatic Reasoning for INstruction Tuning in mathematics
STCM-Net: A symmetrical one-stage network for temporal language localization in videos
Finite-time H ∞ state estimation for switched neural networks with time-varying delays
Distributed consensus of linear MASs with an unknown leader via a predictive extended state observer considering input delay and disturbances
Developing the robotic space-force boundary of physical interaction perception in an infant way
VeriPrune: Equivalence verification of node pruned neural network
DSSA-depth: Unsupervised monocular depth estimation method based on dual-scale self-attention
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data