yusuke1997/dblp-id-title huggingface dataset:
Modular neural dynamic surface control for position tracking of permanent magnet synchronous motor subject to unknown uncertainties
Reversible watermarking via extreme learning machine prediction
Adaptive weighted non-parametric background model for efficient video coding
Efficient sparsification for Gaussian process regression
GlocalFuse-Depth: Fusing transformers and CNNs for all-day self-supervised monocular depth estimation
No-reference stereoscopic image quality assessment based on global and local content characteristics
Training mixture of weighted SVM for object detection using EM algorithm
KeyphraseDS: Automatic generation of survey by exploiting keyphrase information
SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities
Progressive Operational Perceptrons with Memory
D3: Recognizing dynamic scenes with deep dual descriptor based on key frames and key segments
The artificial neural-networks-based relay algorithm for the detection of stochastic high impedance faults
Analysis of SVM regression bounds for variable ranking
Simplified neural architecture for efficient human motion prediction in human-robot interaction
Nonlinear deformation learning for face alignment across expression and pose
A fast DC-based dictionary learning algorithm with the SCAD penalty
Multiple graph semi-supervised clustering with automatic calculation of graph associations
Hierarchical multi-view metric learning with HSIC regularization
Neural modeling of sequential inferences and learning over episodic memory
A review on multi-focus image fusion using deep learning
A cost-sensitive semi-supervised learning model based on uncertainty
New classifier based on compressed dictionary and LS-SVM
A fuzzy deterministic policy gradient algorithm for pursuit-evasion differential games
MIMLRBF: RBF neural networks for multi-instance multi-label learning
VMD-MSANet: A multi-scale attention network for stock series prediction with Variational Mode Decomposition
Crowd counting via scale-communicative aggregation networks
Analysis of functional neuroimages using ICA with adaptive binary sources
Robust projection twin extreme learning machines with capped L1-norm distance metric
Multiple self-organizing maps: A hybrid learning scheme
RPCA-induced self-representation for subspace clustering
Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): A region-based level set method
Translation-invariant classification of non-stationary signals
Video-text retrieval based on multi-grained hierarchical aggregation and semantic similarity optimization
Dendritic cable with active spines: A modelling study in the spike-diffuse-spike framework
LIAAD: Lightweight attentive angular distillation for large-scale age-invariant face recognition
On global exponential stability of generalized stochastic neural networks with mixed time-delays
Building feature space of extreme learning machine with sparse denoising stacked-autoencoder
Global attractivity of memristor-based fractional-order neural networks
Deep Feature Blend Attention: A New Frontier in Super Resolution Image Generation
Finite-time and fixed-time bipartite synchronization of signed networks with mixed delays
DDCNet: Deep dilated convolutional neural network for dense prediction
Conditional BRUNO: A neural process for exchangeable labelled data
Spatial regularization in subspace learning for face recognition: implicit vs. explicit
A model of the illusory contour formation based on dendritic computation
Knowledge distillation for object detection with diffusion model
Learning a hyperplane classifier by minimizing an exact bound on the VC dimension
An image classification method that considers privacy-preservation
Functional prefrontal cortical circuitry for visuospatial working memory formation: A computational model
ψ -type stability of reaction-diffusion neural networks with time-varying discrete delays and bounded distributed delays
A novel ensemble pruning algorithm based on randomized greedy selective strategy and ballot
Shaping graph pattern mining for financial risk
MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies
Composite function wavelet neural networks with extreme learning machine
Q&A driven conversational recommendation integrating multiple interest modeling
Denoising using local projective subspace methods
Complexity-based drift detection for nonstationary data streams
PSO-based dimension reduction of EEG recordings: Implications for subject transfer in BCI
How the NETofANs-model explains representation, intentionality, and much of the process that generates the contents of awareness
Hysteretic Hopfield network with dynamic tunneling for crossbar switch and N-queens problem
Person re-identification with dictionary learning regularized by stretching regularization and label consistency constraint
Adaptive time-window length based on online performance measurement in SSVEP-based BCIs
The effects of low chloride fluids on light responses of the catfish retinal neurons
Inverse-model-based iterative learning control for unknown MIMO nonlinear system with neural network
Self-paced learning for anchor-based multi-view clustering: A progressive approach
Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics
Local-binarized very deep residual network for visual categorization
HDNet: Hybrid Distance Network for semantic segmentation
Improving self-organization of document collections by semantic mapping
Complementary coded aperture set for compressive high-resolution imaging
Stochastic adaptive optimal control of under-actuated robots using neural networks
Predicting energy cost of public buildings by artificial neural networks, CART, and random forest
Parallel layer perceptron
Temporal structure in the bursting activity of the leech heartbeat CPG neurons
A bidirectional Siamese recurrent neural network for accurate gait recognition using body landmarks
Minimal learning parameters-based adaptive neural control for vehicle active suspensions with input saturation
Hamilton-Jacobi based policy-iteration via deep operator learning
Semi-supervised subspace learning with L2graph
Highlighting data clusters by graph embedding
An empirical study on budget-aware online kernel algorithms for streams of graphs
Adaptive quantitative control for robust H∞ synchronization between multiplex neural networks under stochastic cyber attacks
GreyART network for data clustering
HFNet: Hierarchical feedback network with multilevel atrous spatial pyramid pooling for RGB-D saliency detection
Task-related EEG and HRV entropy factors under different real-world fatigue scenarios
Saliency detection via a multi-layer graph based diffusion model
An improved Gene Expression Programming approach for symbolic regression problems
Rethinking feature aggregation for deep RGB-D salient object detection
Analysing deep reinforcement learning agents trained with domain randomisation
A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection
DT-SNE: t-SNE discrete visualizations as decision tree structures
PETNet: A YOLO-based prior enhanced transformer network for aerial image detection
Dynamic event-triggered state estimation for time-delayed spatial-temporal networks under encoding-decoding scheme
Shared state space model for background information extraction and time series prediction
Weightless neural network parameters and architecture selection in a quantum computer
Random optimized geometric ensembles
Modular neural networks with applications to pattern profiling problems
Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy
Fuzzy almost disturbance decoupling for MIMO nonlinear uncertain systems based on high-gainobserver
From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning
Neural network control for a class of continuous stirred tank reactor process with dead-zone input
Functional significance of inhibitory interactions between inhibitory interneurons in visual cortex
DONE: Enhancing network embedding via greedy vertex domination
A new learning algorithm with logarithmic performance index for complex-valued neural networks
Low rank tensor recovery by schatten capped p norm and plug-and-play regularization
Architecture selection for networks trained with extreme learning machine using localized generalization error model
3D model retrieval using constructive-learning for cross-model correlation
3D Model classification based on few-shot learning
Brain signal's low-frequency fits the continuous authentication
A survey of CAPTCHA technologies to distinguish between human and computer
CompactNet: learning a compact space for face presentation attack detection
A fast and efficient conformal regressor with regularized extreme learning machine
Real-time human pose estimation and tracking on monocular videos: A systematic literature review
Distributed approximate aggregative optimization of multiple Euler-Lagrange systems using only sampling measurements
Multiple-level Enhanced Graph Convolutional Network for Aspect Sentiment Triplet Extraction
Ensemble deep learning in speech signal tasks: A review
Maximal similarity based region classification method through local image region descriptors and Bhattacharyya coefficient-based distance: Application to horizon line detection using wide-angle camera
Fast error whitening algorithms for system identification and control with noisy data
A novel parallel multiplier using spiking neural P systems with dendritic delays
Fast spatio-temporal stereo matching for advanced driver assistance systems
Almost sure finite-time synchronization of Markov jump complex dynamical networks with asynchronous switching
Salient object detection via light-weight multi-path cascaded networks
A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation
Finite-time consensus of input delayed multi-agent systems via non-fragile controller subject to switching topology
Transformer-based neural architecture search for effective visible-infrared person re-identification
An enhanced differential evolution algorithm with a new oppositional-mutual learning strategy
Using a recurrent network to bind form, color and position into a unified percept
Online heterogeneous feature fusion machines for visual recognition
An evaluation of recurrent feedforward memory networks and their relevance to the hippocampus
Robust object removal with an exemplar-based image inpainting approach
Self-support matching networks with multiscale attention for few-shot semantic segmentation
Topic analysis and development in knowledge graph research: A bibliometric review on three decades
Asymptotic analysis of locally weighted jackknife prediction
A brain-inspired spiking neural network model with temporal encoding and learning
Neurocomputing for vision research
Black-box targeted adversarial attacks for deep neural networks
DSINet: Dual semantic interaction and edge refinement network for salient object detection
An application on intelligent control using neural network and fuzzy logic
Rectifying self-training with neighborhood consistency and proximity for source-free domain adaptation
Extracting the nonlinear features of motor imagery EEG using parametric t-SNE
Automatic image annotation and semantic based image retrieval for medical domain
Multi-Scale and Single-Scale Fully Convolutional Networks for Sound Event Detection
Research on virtual haptic disassembly platform considering disassembly process
Learning coherent vector fields for robust point matching under manifold regularization
Group consensus protocol with input delay for HMASs in cooperative-competitive networks
Robust optimal feedback control design for uncertain systems based on artificial neural network approximation of the Bellman's value function
The effect of low number of points in clustering validation via the negentropy increment
Hyperparameter learning in probabilistic prototype-based models
Unsupervised performance analysis of 3D face alignment with a statistically robust confidence test
Cross-region feature fusion with geometrical relationship for OCR-based image captioning
An integrated learning approach to environment modelling in mobile robot navigation
A MapReduce based parallel SVM for large-scale predicting protein-protein interactions
Fast gradient-free activation maximization for neurons in spiking neural networks
Neural network optimal adaptive control for affine continuous-time nonlinear systems with unknown internal dynamics
Spiking neural P systems with cooperative synapses
Neural learning rules from associative networks theory
Pre-training the deep generative models with adaptive hyperparameter optimization
Finite-time boundedness for uncertain discrete neural networks with time-delays and Markovian jumps
Pattern languages: a new paradigm for neurocomputation
Distributed multi-agent optimization via event-triggered based continuous-time Newton-Raphson algorithm
Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series
Boundary-aware High-resolution Network with region enhancement for salient object detection
Regularized online exponentially concave optimization
Evaluation of underwater image enhancement algorithms based on Retinex and its implementation on embedded systems
Reduced kinetic schemes of short-term synaptic plasticity in inhibitory network models
A novel improved trigonometric neural network algorithm for solving price-dividend functions of continuous time one-dimensional asset-pricing models
Discriminative tracking via supervised tensor learning
Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization
A transfer approach with attention reptile method and long-term generation mechanism for few-shot traffic prediction
An evidential classifier based on Dempster-Shafer theory and deep learning
Short-term power load forecasting based on Elman neural network with particle swarm optimization
A sparse proximal Newton splitting method for constrained image deblurring
Global exponential convergence of periodic neural networks with time-varying delays
A probabilistic framework to incorporate mixed-data type features: Matrix factorization with multimodal side information
FSCFNet: Lightweight neural networks via multi-dimensional importance-aware optimization
A visual attention model based on hierarchical spiking neural networks
Discriminative feature and dictionary learning with part-aware model for vehicle re-identification
Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis
Predicting Pedestrian Crossing Intention in Autonomous Vehicles: A Review
Exponential synchronization of a class of neural networks with mixed time-varying delays and impulsive effects
Enhancing effective connection with link prediction for session-based recommendation
Learning performance of LapSVM based on Markov subsampling
Lightweight verifiable federated learning based on matrix theory
Online video synopsis of structured motion
Gradient-based neural networks for online solutions of coupled Lyapunov matrix equations
Fixed/preassigned-time bipartite synchronization for delayed fractional-order multilayer multi-link signed networks via adaptive aperiodically semi-intermittent control
Local cluster neural net: Architecture, training and applications
A novel parametric-insensitive nonparallel support vector machine for regression
An immune-inspired algorithm for an unrelated parallel machines' scheduling problem with sequence and machine dependent setup-times for makespan minimisation
Local geometry-enhanced anchor learning for multi-view clustering
KNN-based multi-label twin support vector machine with priority of labels
Adaptive critics based cooperative control scheme for islanded Microgrids
A more general incremental inter-agent learning adaptive control for multiple identical processes in mass production
Cluster synchronization of fractional-order coupled genetic regulatory networks via pinning control
Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech
Design of an intelligent optimal neural network-based tracking controller for nonholonomic mobile robot systems
Spatiotemporal equations expressing microscopic two-dimensional membrane-potential dynamics
Multistability of delayed neural networks with hard-limiter saturation nonlinearities
A self-adaptive cascade ConvNets model based on label relation mining
HyperNTF: A hypergraph regularized nonnegative tensor factorization for dimensionality reduction
Robust extreme learning machine
A semantic backdoor attack against graph convolutional networks
Unsupervised margin-based feature selection using linear transformations with neighbor preservation
Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition
Analysis and modeling of population dynamics in the visual cortex
Node importance evaluation in heterogeneous network based on attention mechanism and graph contrastive learning
Deep neural network based single pixel prediction for unified video coding
N 4 : computing with neural receptive fields
HRAA: Heuristic Reclamation with Agent Allocation based on reinforcement learning for resource scheduling of financial agent-based modeling and simulation tasks
Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability
AI-based collimation optimization for X-ray imaging using depth cameras
Contrastive learning of adaptive social information fusion for recommender systems
An efficient fingerprint verification system using integrated gabor filters and Parzen Window Classifier
Neural network based adaptive backstepping dynamic surface control of drug dosage regimens in cancer treatment
Set-based similarity learning in subspace for agricultural remote sensing classification
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning
Evolutionary Computation in bioinformatics: A survey
Confidence-aware dual-consistency and pixel-sampled dual-contrastive learning for semi-supervised biomedical image segmentation
Efficient privacy-preserving content recommendation for online social communities
A cascaded method for text detection in natural scene images
Hypergraph based feature fusion for 3-D object retrieval
Post-cue activity of prefrontal cortical neurons controlled by local inhibition
DAEANet: Dual auto-encoder attention network for depth map super-resolution
Pullback attractor for Cohen-Grossberg neural networks with time-varying delays
torchosr - A PyTorch extension package for Open Set Recognition models evaluation in Python
Guest Editorial: Special issue on deep learning with small samples
Summarizing video sequence using a graph-based hierarchical approach
(2D) 2 FLD: An efficient approach for appearance based object recognition
Sparse density estimator with tunable kernels
Modulation of coherent oscillations in inhibitory networks by anesthetics
Optimal robust control of vehicle lateral stability using damped least-square backpropagation training of neural networks
CAISFormer: Channel-wise attention transformer for image steganography
Generation of the respiratory rhythm: state-dependency and switching
MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification
Evolutionary pulse-coupled neural network for segmenting breast lesions on ultrasonography
Distance profile layer for binary classification and density estimation
Dynamical approximation by recurrent neural networks
A compact spike-timing-dependent-plasticity circuit for floating gate weight implementation
Progressive discrepancy elimination for visible-infrared person re-identification
Vehicle detection in driving simulation using extreme learning machine
Computational counting for a quantitative analysis of cells in histologically prepared brain sections
A survey on vulnerability of federated learning: A learning algorithm perspective
Using dipole receptive fields for the reconstruction of printed characters
DPBPRMF: A rigorous differential privacy scheme with Bayesian personalized ranking for implicit recommendation
Text-guided multi-level interaction and multi-scale spatial-memory fusion for multimodal sentiment analysis
A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
Discriminative and robust least squares regression for semi-supervised image classification
DCNN based human activity recognition framework with depth vision guiding
Variability and interdependence of local field potentials: Effects of gain modulation and nonstationarity
Deep Discrete Cross-Modal Hashing with Multiple Supervision
A novel healthy food recommendation to user groups based on a deep social community detection approach
Neural-network-based adaptive fault-tolerant tracking control of uncertain nonlinear time-delay systems under output constraints and infinite number of actuator faults
Controlling internal representations by structural information
RCDformer: Transformer-based dense depth estimation by sparse radar and camera
Safe coordinated optimization of the thickening-dewatering process via reinforcement learning with real-time human guidance
Hierarchical approximate optimal interaction control of human-centered modular robot manipulator systems: A Stackelberg differential game-based approach
Structured discriminative tensor dictionary learning for unsupervised domain adaptation
A novel two-stage weak classifier selection approach for adaptive boosting for cascade face detector
Generalization of TORCS car racing controllers with artificial neural networks and linear regression analysis
OFMPNet: Deep end-to-end model for occupancy and flow prediction in urban environment
Finite-time synchronization for Cohen-Grossberg neural networks with mixed time-delays
Collective game behavior learning with probabilistic graphical models
Video event description in scene context
Twice attention networks for synthetic speech detection
Balance between object and background: Object-enhanced features for scene image classification
TC 3 KD: Knowledge distillation via teacher-student cooperative curriculum customization
How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: Application to text mining
BeeRBF: A bee-inspired data clustering approach to design RBF neural network classifiers
Dynamic MRI reconstruction exploiting blind compressed sensing combined transform learning regularization
Divide and conquer approach for semi-supervised multi-category classification through localized kernel spectral clustering
Advancing referring image segmentation with bidirectional feature enhancement and adaptive multimodal fusion
Discrepancy-aware contrastive learning with mixture of experts for cross-modal image-text semantic alignment
Partial-neurons-based state estimation for artificial neural networks under constrained bit rate: The finite-time case
Clonazepam suppresses oscillations in rat thalamic slices
Triple attention network for video segmentation
On the P-critical dynamics analysis of projection recurrent neural networks
Designing and modeling of ultra low voltage and ultra low power LNA using ANN and ANFIS for Bluetooth applications
Random forest and Self Organizing Maps application for analysis of pediatric fracture healing time of the lower limb
Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents
Learning self-organized topology-preserving complex speech features at primary auditory cortex
Content-Based Fake News Detection With Machine and Deep Learning: a Systematic Review
Stochasticity in localized synfire chain
Solving dynamic optimization problems with adaptive networks
A CNN-based policy for optimizing continuous action control by learning state sequences
Non-fragile fuzzy dissipative static output feedback control for Markovian jump systems subject to actuator saturation