yusuke1997/dblp-id-title huggingface dataset:
Non-sparse label specific features selection for multi-label classification
Existence and global exponential stability of anti-periodic solution for Clifford-valued inertial Cohen-Grossberg neural networks with delays
Estimating intrinsic dimensionality of fMRI dataset incorporating an AR(1) noise model with cubic spline interpolation
Weakly supervised semantic segmentation by iterative superpixel-CRF refinement with initial clues guiding
Distributed event-triggered scheduling in networked interconnected systems with sparse connections
Learning to predict more accurate text instances for scene text detection
Relaxed conditions for convergence of batch BPAP for feedforward neural networks
Modeling motoneurons after spinal cord injury: persistent inward currents and plateau potentials
An optimized probabilistic neural network with unit hyperspherical crown mapping and adaptive kernel coverage
Semi-supervised learning guided by the modularity measure in complex networks
Efficient spatio-temporal modeling and text-enhanced prototype for few-shot action recognition
Machine learning for signal processing 2010
A statistical basis for visual field anisotropies
Ethics of trustworthy AI in healthcare: Challenges, principles, and practical pathways
An improved case-based reasoning method and its application in endpoint prediction of basic oxygen furnace
Active learning for road lane landmark inventory with V-ELM in highly uncontrolled image capture conditions
Generative adversarial network with circuitous feature collection for image steganographic cost learning
Multiscale spatial-spectral attention network for arbitrary-scale hyperspectral image super-resolution
Nonrigid medical image registration with locally linear reconstruction
Fault-tolerant tracking control for nonlinear systems with multiplicative actuator faults in view of zero-sum differential games
Hand gesture tracking and recognition system using Lucas-Kanade algorithms for control of consumer electronics
Multiclass support matrix machine for single trial EEG classification
Completely distributed neuro-learning consensus with position constraints and partially unknown control directions
A spiking neural network with probability information transmission
Detail preservation and feature refinement for object detection
Grammatical inference with bioinformatics criteria
The optimally designed dynamic memory networks for targeted sentiment classification
Adaptive neural network prescribed performance matrix projection synchronization for unknown complex dynamical networks with different dimensions
Generalized multi-attribute failure mode analysis
The influence of neuron shape changes on the firing characteristics
Direct adaptive NN control for a class of discrete-time nonlinear strict-feedback systems
Fusion or not: Learning visual relocalization with matrix Fisher distribution
Admissible H ∞ control of linear descriptor multi-agent systems with external disturbances
Nonfragile l 2 -l ∞ state estimation for discrete-time neural networks with jumping saturations
Advances in instance segmentation: Technologies, metrics and applications in computer vision
Kernel sparse representation based classification
ER-SQL: Learning enhanced representation for Text-to-SQL using table contents
A survey on metaheuristic optimization for random single-hidden layer feedforward neural network
MLC-DTA: Drug-target affinity prediction based on multi-level contrastive learning and equivariant graph neural networks
Time series modeling of surface EMG based hand manipulation identification via expectation maximization algorithm
DESRGAN: Detail-enhanced generative adversarial networks for small sample single image super-resolution
On combining visual perception and color structure based image quality assessment
An improved criterion for stability and attractability of memristive neural networks with time-varying delays
Multi-scale receptive field fusion network for lightweight image super-resolution
Learning deep feature representations for multi-modal MR brain tumor segmentation
Show, tell and rectify: Boost image caption generation via an output rectifier
IMSDO: Deep metric learning with incremental margin and standard deviation optimization
Enhancing status-based optimization via dual dispersal mechanisms for feature selection in bankruptcy prediction
Object proposal on RGB-D images via elastic edge boxes
Select & Re-Rank: Effectively and efficiently matching multimodal data with dynamically evolving attention
VLPRSDet: A vision-language pretrained model for remote sensing object detection
Information diffusion across cyber-physical-social systems in smart city: A survey
Predicting short-term next-active-object through visual attention and hand position
Probabilistic inference of Bayesian neural networks with generalized expectation propagation
Shift-ACT: Test-time adaptation via shift-aware class-specific dynamic thresholding for domain generalization
Predicting bankruptcies with the self-organizing map
Solving differential equations using deep neural networks
An effective multimodal representation and fusion method for multimodal intent recognition
Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils
MaxMin-L2-SVC-NCH: A novel approach for support vector classifier training and parameter selection
Automatic and accurate segmentation of peripherally inserted central catheter (PICC) from chest X-rays using multi-stage attention-guided learning
BGFE-Net: A Boundary-Guided Feature Enhancement Network for segmentation of targets with fuzzy boundaries
CNN-based visual processing approach for biological sample microinjection systems
Global-Local Graph Convolutional Network for cross-modality person re-identification
Gradient-based fly immune visual recurrent neural network solving large-scale global optimization
A dual channel class hierarchy based recurrent language modeling
CUR-Estimator: Towards reliable missing data imputation for aero-engine degradation process
Positive and unlabeled learning in categorical data
Quantum variational distance-based centroid classifier
Scene text segmentation using low variation extremal regions and sorting based character grouping
Surface defect classification in large-scale strip steel image collection via hybrid chromosome genetic algorithm
Fuzzy deep belief networks for semi-supervised sentiment classification
Adaptive flight control law based on neural networks and dynamic inversion for micro-aerial vehicles
Parametric study of dopaminergic neuromodulatory effects in a reduced model of the prefrontal cortex
Anchor graph-based multiview spectral clustering
A kernel-based weight decorrelation for regularizing CNNs
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
An expert system for automated identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting
Immune network based ensembles
Graph representation learning based on deep generative gaussian mixture models
Evolution of trading strategies with flexible structures: A configuration comparison
Imbalanced learning algorithm based intelligent abnormal electricity consumption detection
A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer's disease
Accelerated convergent zeroing neurodynamics models for solving multi-linear systems with M-tensors
Motifs-based recommender system via hypergraph convolution and contrastive learning
A framework of query expansion for image retrieval based on knowledge base and concept similarity
Mining financial distress trend data using penalty guided support vector machines based on hybrid of particle swarm optimization and artificial bee colony algorithm
Hierarchical feature extraction by multi-layer non-negative matrix factorization network for classification task
Effects of short-time plasticity on the associative memory
Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization
Smooth policy iteration for zero-sum Markov Games
Attention adjacency matrix based graph convolutional networks for skeleton-based action recognition
Locally weighted linear regression for cross-lingual valence-arousal prediction of affective words
FOSIR: Fuzzy-Object-Shape for Image Retrieval applications
Triplet online instance matching loss for person re-identification
Detection of weak transient signals based on unsupervised learning for bearing fault diagnosis
Pruning with interval arithmetic perceptron
Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting
Recognizing multi-resident activities in non-intrusive sensor-based smart homes by formal concept analysis
3D scene reconstruction enhancement method based on automatic context analysis and convex optimization
Dependence of the spike-triggered average voltage on membrane response properties
Pose invariant virtual classifiers from single training image using novel hybrid-eigenfaces
The interaction between facilitation and depression of two release mechanisms in a single synapse
K -SVCR. A support vector machine for multi-class classification
LSTM-Cubic A*-based auxiliary decision support system in air traffic management
A novel semi-supervised ensemble algorithm using a performance-based selection metric to non-stationary data streams
N-dimensional Markov random field prior for cold-start recommendation
Explaining adversarial vulnerability with a data sparsity hypothesis
AstMatch: Adversarial self-training consistency framework for semi-supervised medical image segmentation
Dynamic event-triggered adaptive NN consensus control for nonlinear multiagent systems with unknown measurement sensitivity
Hybrid adaptive synchronization strategy for linearly coupled reaction-diffusion neural networks with time-varying coupling strength
The stability analysis for a novel feedback neural network with partial connection
Deep clustering for weakly-supervised semantic segmentation in autonomous driving scenes
A simulation-based few samples learning method for surface defect segmentation
Quantum AI for Alzheimer's disease early screening
Integration of residual network and convolutional neural network along with various activation functions and global pooling for time series classification
Adaptive neural network algorithm for control design of rigid-link electrically driven robots
Encoding-based memory for recurrent neural networks
Training binary neural networks with knowledge transfer
A multi-view clustering framework via integrating K -means and graph-cut
Solving alignment problems in neural spike sorting using frequency domain PCA
A recurrent neural network model of C. elegans responses to aversive stimuli
Coherence resonance due to correlated noise in neuronal models
Output feedback control for interconnected time-delay systems with prescribed performance
Use of the circle segments visualization technique for neural network feature selection and analysis
Multi-objective evolutionary feature selection for online sales forecasting
Incremental pairwise discriminant analysis based visual tracking
Release probability distribution modulates attractor state stability and mobility in continuous-attractor neural networks
A new discrete-time neural network for quadratic programming with general linear constraints
Positive observer design for discrete-time positive system with missing data in output
Long-Short Observation-driven Prediction Network for pedestrian crossing intention prediction with momentary observation
Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation
Online sequential extreme learning machine in nonstationary environments
Neural networks based finite-time cluster quasi-consensus for unknown nonlinear multi-agent systems with input saturations
Propagation of firing rate by synchronization in a feed-forward multilayer Hindmarsh-Rose neural network
Learning for 3D understanding
Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling
Influence zones: A strategy to enhance reinforcement learning
Local extrema co-occurrence pattern for color and texture image retrieval
Learning disentangled representation for self-supervised video object segmentation
Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study
Label-aware graph representation learning for multi-label image classification
Knowledge-based question answering by tree-to-sequence learning
Intuitionistic fuzzy set approach to multi-objective evolutionary clustering with multiple spatial information for image segmentation
Neural network-based distributed adaptive fault-tolerant containment control
Data mining of time series using stacked generalizers
Video-based facial expression recognition using learned spatiotemporal pyramid sparse coding features
The influence of synaptic connectivity on the pattern of bursting behavior in model pyramidal cells
An Artificial Neural Network and Bayesian Network model for liquidity risk assessment in banking
TabSynergy: Leveraging large language models for high-quality feature generation and augmentation in small tabular datasets
Data mining in systems biology
Stochastic resonance in visual cortical neurons: does the eye-tremor actually improve visual acuity?
Multi-level feature representations for video semantic concept detection
Building interactive sentence-aware representation based on generative language model for community question answering
Encoding in a network of sparsely connected spiking neurons: application to locust olfaction
MAT: Motion-aware multi-object tracking
An improved case-based reasoning method and its application on fault diagnosis of Tennessee Eastman process
Hyperspectral image restoration via superpixel segmentation of smooth band
Reinforcement learning based model-free optimized trajectory tracking strategy design for an AUV
On the ideal number of groups for isometric gradient propagation
COP: customized correlation-based Filter level pruning method for deep CNN compression
Gated graph convolutional network based on spatio-temporal semi-variogram for link prediction in dynamic complex network
Predictive Nyström method for kernel methods
Incremental extreme learning machine with fully complex hidden nodes
Cascading graph contrastive learning for multi-behavior recommendation
Passivity analysis of memristive neural networks with probabilistic time-varying delays
Cauchy estimator discriminant analysis for face recognition
IFSERec: A robust graph contrastive learning approach for implicit feedback recommendations
Efficient kernel models for learning and approximate minimization problems
Model reduction of A class of Markov jump nonlinear systems with time-varying delays via projection approach
Radial search-based graph clustering method
Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA
Extreme learning machine based transfer learning algorithms: A survey
Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study
Dynamic disagreeing neighbors: A deep dive into complexity estimation
Action recognition using spatial-optical data organization and sequential learning framework
Combination of multiple bipartite ranking for multipartite web content quality evaluation
An algorithm framework of sparse minimization for positive definite quadratic forms
Worker Collaborative group estimation in spatial crowdsourcing
Drop inherent biases: Multi-level attention calibration for robust cross-domain few-shot classification
Efficient hyperparameter optimization through model-based reinforcement learning
Zero-watermarking method for resisting rotation attacks in 3D models
LSNet: Real-time attention semantic segmentation network with linear complexity
Attraction recommendation: Towards personalized tourism via collective intelligence
Circuit properties of the cortico-mesocortical system
Predicting Gene Ontology functions based on support vector machines and statistical significance estimation
On authoritative roles of media over co-evolution of opinions in two-layer appraisal networks
Two-factor smoothed incomplete multi-view clustering via inconsistent guidance
Neural network-based event-triggered MFAC for nonlinear discrete-time processes
A distributed approach for large-scale classifier training and image classification
Coordinate descent for top-k multi-label feature selection with pseudo-label learning and manifold learning
FANCL: Feature-guided attention network with curriculum learning for brain metastases segmentation
Design of affinity-aware encoding by embedding graph centrality for graph classification
P th moment exponential input-to-state stability of non-autonomous delayed Cohen-Grossberg neural networks with Markovian switching
A quantitative evaluation of dominant membrane potential in generation of magnetic field using a pyramidal cell model at hippocampus CA3
A neural network for scene segmentation by temporal coding
Analysis of clustering methods for crop type mapping using satellite imagery
A niching PSO-based multi-robot cooperation method for localizing odor sources
An adaptive bilateral filter based framework for image denoising
Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization
More observation leads to more clarity: Multi-view collaboration network for camouflaged object detection
Bayesian inference for time-varying applications: Particle-based Gaussian process approaches
The computation power of spiking neural P systems with polarizations adopting sequential mode induced by minimum spike number
Endogenous event-related analysis reveals dynamic brain network reorganization abnormalities in depression
Unsupervised Deep Cross-modal Hashing with Virtual Label Regression
Perception of change in depth in the hummingbird hawkmoth Manduca sexta (Sphingidae, Lepidoptera)
Optimizing blind source separation with guided genetic algorithms
LMI-based finite-time boundedness analysis of neural networks with parametric uncertainties
Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator
Human activity prediction by mapping grouplets to recurrent Self-Organizing Map
Feature-based analyses of concept drift
Nonlinear system identification using a simplified Fuzzy Broad Learning System: Stability analysis and a comparative study
Anomaly detection and predictive maintenance for photovoltaic systems
Composite NNs learning full-state tracking control for robotic manipulator with joints flexibility
Individual fair fuzzy C-means clustering via density-adaptive spectral regularization
Dynamical recurrent neural networks towards prediction and modeling of dynamical systems
DouN-GNN:Double nodes graph neural network for few-shot learning
Neural Kalman filter
Visibility of points: Mining occlusion cues for monocular 3D object detection
RNN-Transducer based Chinese Sign Language Recognition
Multiobjective backbone network architecture search based on transfer learning in steel defect detection
Automated assessment of Parkinsonian finger-tapping tests through a vision-based fine-grained classification model
Fully-inductive link prediction with path-based graph neural network: A comparative analysis
Fuzzy-logic assisted power management for electrified mobile machinery
Discriminant Hyper-Laplacian Projections and its scalable extension for dimensionality reduction
Small universal asynchronous spiking neural P systems with multiple channels
Odor recognition and segmentation by coupled olfactory bulb and cortical networks
Lag projective synchronization of nonidentical fractional delayed memristive neural networks
Direct approach on fixed-time stabilization and projective synchronization of inertial neural networks with mixed delays
Recurrent fuzzy network design using hybrid evolutionary learning algorithms
Camera-based physiological measurement: Recent advances and future prospects
Functional-link net with fuzzy integral for bankruptcy prediction
T-S fuzzy model-based adaptive repetitive consensus control for second-order multi-agent systems with imprecise communication topology structure
A salt & pepper noise filter based on local and global image information
Adaptive neural tracking control of pure-feedback nonlinear systems with unknown gain signs and unmodeled dynamics
Efficient and accurate computation of model predictive control using pseudospectral discretization
Image receptive fields for artificial neural networks
A segmentation concept for positron emission tomography imaging using multiresolution analysis
Context learning from a ship trajectory cluster for anomaly detection
Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction
Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization
Enhancing neural combinatorial optimization by progressive training paradigm
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
Text classification with self-organizing maps: Some lessons learned
On pruning the search space for clustering ensemble problems
Instance selection for regression: Adapting DROP
A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions
An end-to-end image-text matching approach considering semantic uncertainty
Heterogeneous formation control of multiple UAVs with limited-input leader via reinforcement learning
Detection of user-registered dog faces
Intelligent video tracking based on fuzzy-reasoning segmentation
Learning local factor analysis versus mixture of factor analyzers with automatic model selection
Event-triggered fault detection observer design for affine fuzzy systems
Online multimodal dictionary learning
A retinomorphic architecture based on discrete-time cellular neural networks using reconfigurable computing
An evolutionary neural system for incorporating expert knowledge into the UA-FLP
An improved consensus algorithm for MAS with directed topology and binary-valued communication
Representation learning of graphs using graph convolutional multilayer networks based on motifs
JNN, a randomized algorithm for training multilayer networks in polynomial time
Evaluation of node importance and invulnerability simulation analysis in complex load- network
The neuronal basis of direction selectivity in lobula plate tangential cells
Stability and synchronization for Markovian jump neural networks with partly unknown transition probabilities
Dynamically stable walk control of biped humanoid on uneven and inclined terrain
A survey on uncertainty quantification in deep learning for financial time series prediction
Generalization error bound of semi-supervised learning with ℓ 1 regularization in sum space
Linear-quadratic optimal control for unknown mean-field stochastic discrete-time system via adaptive dynamic programming approach
Avatar motion control by natural body movement via camera
Feature weighting for multinomial kernel logistic regression and application to action recognition
Fast scene labeling via structural inference
A winner-take-all circuit using neural networks as building blocks
A new sampling method for classifying imbalanced data based on support vector machine ensemble
DSKRL: A dissimilarity-support-aware knowledge representation learning framework on noisy knowledge graph
Synaptic memcapacitor bridge synapses
Semi-supervised learning via mean field methods
Tracking problems of a spherical inverted pendulum via neural network enhanced design
Synchronization of multiple chaotic FitzHugh-Nagumo neurons with gap junctions under external electrical stimulation
Sequential convolutional network for behavioral pattern extraction in gait recognition
A compact neuromorphic architecture with dynamic multiplexing to efficiently compute a nearest Kronecker product decomposition based RLS-NLMS algorithm for active noise control headphones