yusuke1997/dblp-id-title huggingface dataset:
On the functional role of noise correlations in the nervous system
Extreme learning machine for classification over uncertain data
Iterative sequential approximate solutions method to Hyers-Ulam stability of time-varying delayed fractional-order neural networks
A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition
Safe optimal control for multiplayer Stackelberg-Nash games of nonlinear time-delay systems via adaptive dynamic programming
Learning Pooling for Convolutional Neural Network
A neural model of medial geniculate body and auditory cortex detecting target distance independently of target velocity in echolocation
Online variational learning of generalized Dirichlet mixture models with feature selection
A Neumann-Neumann acceleration with coarse space for domain decomposition of extreme learning machines
Layered video transmission based on genetic programming for lossy channels
Efficient Leave-One-Out Cross-Validation-based Regularized Extreme Learning Machine
Estimation of learning rate of least square algorithm via Jackson operator
Decentralized AdaBoost algorithm over sensor networks
Impulsive control for the synchronization of coupled neural networks with reaction-diffusion terms
Dynamic synapse: Harnessing the computing power of synaptic dynamics
Real-time cooperative kinematic control for multiple robots in distributed scenarios with dynamic neural networks
On a perceptron-type learning rule for higher order Hopfield neural networks including dilation and translation
Feature alignment approach for hand posture recognition based on curvature scale space
Enhancing the robustness of QMIX against state-adversarial attacks
Convergence and stability analysis of value iteration Q-learning under non-discounted cost for discrete-time optimal control
KD-SCFNet: Towards more accurate and lightweight salient object detection via knowledge distillation
A fast modified constructive-covering algorithm for binary multi-layer neural networks
Heuristic sequencing hopfield neural network for pick-and-place location routing in multi-functional placers
Deep learning-based chromosome segmentation and extraction: A comprehensive review of methodologies, challenges, and future directions
Unbiased feature position alignment for human pose estimation
PRL: A game theoretic large margin method for interpretable feature learning
Modified sliding mode synchronization of typical three-dimensional fractional-order chaotic systems
Automated machine learning based on decomposition, causality and evolutionary multitask optimization for time series forecasting
Line flow contingency selection and ranking using cascade neural network
Data mining techniques in social media: A survey
CCINet: A cascaded consensus interaction network for co-saliency object detection
Singular points detection based on multi-resolution in fingerprint images
PINR: A physics-integrated neural representation for dynamic fluid scenes
Graph-based semi-supervised learning: A review
Observation noise modeling based particle filter: An efficient algorithm for target tracking in glint noise environment
Adv-4-Adv: Thwarting changing adversarial perturbations via adversarial domain adaptation
Neural module networks: A review
Enhanced distance-aware self-attention and multi-level match for sentence semantic matching
Robust stochastic stability analysis of genetic regulatory networks with disturbance attenuation
Dynamic event-triggered finite-horizon robust suboptimal control of multi-player systems with input disturbances
IBNet: Interactive Branch Network for salient object detection
Neural network prediction analysis: The bankruptcy case
Inspecting adversarial examples using the fisher information
Feature selection for classification with class-separability strategy and data envelopment analysis
Forward-reverse adaptive graph convolutional networks for skeleton-based action recognition
BayeSuites: An open web framework for massive Bayesian networks focused on neuroscience
OASIS: One-pass aligned atlas set for medical image segmentation
Optimal sub-band adaptive thresholding based edge preserved satellite image denoising using adaptive differential evolution algorithm
A Hunger Games Search algorithm with opposition-based learning for solving multimodal medical image registration
Accelerating spiking neural networks using quantum algorithm with high success probability and high calculation accuracy
Automated detection of vertebral fractures from X-ray images: A novel machine learning model and survey of the field
Weakly supervised activity analysis with spatio-temporal localisation
Axial current reversal promotes synchronous correlation between dendritic membrane potentials during large-scale synaptic input
FMVP: Fine-grained Meta Visual Prompt enabled domain-specific few-shot classification
State estimation for neural networks with jumping interval weight matrices and transmission delays
Particle competition and cooperation for semi-supervised learning with label noise
Financial quantitative investment using convolutional neural network and deep learning technology
Skeleton edge motion networks for human action recognition
TNCR: Table net detection and classification dataset
A new training algorithm for HHFNN based on Gaussian membership function for approximation
Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances
Integrated structure selection and parameter optimisation for eng-genes neural models
Containment control of multi-agent systems with fixed time-delays in fixed directed networks
K-core-guided adaptive learning and policy optimization for targeted influence maximization in complex networks
Decoupling foreground and background with Siamese ViT networks for weakly-supervised semantic segmentation
Large-scale image retrieval based on boosting iterative quantization hashing with query-adaptive reranking
Multivariate spatiotemporal clustering based on spatial Toplitz inverse covariance with adaptive information aggregation
Fault diagnosis of rolling element bearing using cyclic autocorrelation and wavelet transform
Correlated firing and oscillations in spiking networks with global delayed inhibition
PHEE: Identifying influential nodes in social networks with a phased evaluation-enhanced search
Efficient detection of adversarial, out-of-distribution and other misclassified samples
Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics
H ∞ fuzzy PID control for discrete time-delayed T-S fuzzy systems
Absolute size IoU loss for the bounding box regression of the object detection
Pinning exponential synchronization of complex networks via event-triggered communication with combinational measurements
A single spike model of predictive coding
Traffic scene semantic segmentation using self-attention mechanism and bi-directional GRU to correlate context
Pedestrian search in surveillance videos by learning discriminative deep features
Razumikhin method conjoined with graph theory to input-to-state stability of coupled retarded systems on networks
Deep multi-view semi-supervised clustering with sample pairwise constraints
Attention augmentation with multi-residual in bidirectional LSTM
Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning
3D face modeling based on structure optimization and surface reconstruction with B-Spline
Prototype-guided Instance matching for multiple pedestrian tracking
CMNN: Cooperative Modular Neural Networks
Symmetric-embedding prediction of the CATS benchmark
Exponential synchronization of memristor-based recurrent neural networks with time delays
Neural-network-based optimization and analysis for nonlinear stochastic systems
A unified hypothesis generation framework for multi-structure model fitting
A hybrid fireworks optimization method with differential evolution operators
Distributed Nash equilibrium seeking for constrained games over jointly strongly connected switching networks under dynamic event-triggered mechanism
Cardiovascular control using artificial neuronal structures - modeling the baroreceptor regulation mechanism
Differential privacy in deep learning: A literature survey
Unsupervised domain adaptation with self-attention for post-disaster building damage detection
A novel algorithm for economic load dispatch of power systems
Exponential synchronization of inertial neural networks with mixed time-varying delays via periodically intermittent control
A new local PCA-SOM algorithm
Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach
Multi-source transfer ELM-based Q learning
A forecasting method for non-equal interval time series based on recurrent neural network
MPLR-CapsNet: A novel capsule network with multi-line parallel features and logical reasoning for occluded pedestrian detection
Consensus of multi-agent systems in the cooperation-competition network with inherent nonlinear dynamics: A time-delayed control approach
Exponential p-stability of stochastic recurrent neural networks with mixed delays and Markovian switching
Hierarchical word clustering - automatic thesaurus generation
Local stochastic synchronization for Markovian neutral-type complex networks with partial information on transition probabilities
Fully fuzzy polynomial regression with fuzzy neural networks
Fixed-time stability of a class of systems and its application on discontinuous neural networks
Segment spatial-temporal representation and cooperative learning of convolution neural networks for multimodal-based action recognition
A functional neuron with thermal perception and energy regulation
Vision transformers are active learners for image copy detection
A new variational radial basis function approximation for inference in multivariate diffusions
Mutually activated residual linear modeling GAN for pose-guided person image generation
Trade-off analysis between finite-time synchronization and energy consumption for fractional-order two-layer neural networks
Sub-optimal tracking in switched systems with fixed final time and fixed mode sequence using reinforcement learning
ABC-PSO for vertical handover in heterogeneous wireless networks
PrototypeFormer: Learning to explore prototype relationships for few-shot image classification
l 2, 1 Norm regularized fisher criterion for optimal feature selection
Surveillance video face recognition with single sample per person based on 3D modeling and blurring
Deep appearance and motion learning for egocentric activity recognition
An active contour model based on fused texture features for image segmentation
The embedding proximity learning for multi-view clustering
Incremental Slope-one recommenders
Particle swarm optimization for power system state estimation
Dynamic neighborhood selection for regularized local linear embedding with elastic networks
Zeroing neural network model for finding Moore Penrose inverse of time-varying tensors with applications in imaging
An optimal fuzzy control medium access in wireless body area networks
Fuzzy control of multiplicative noised nonlinear systems subject to actuator saturation and H ∞ performance constraints
Dynamic texture recognition by aggregating spatial and temporal features via ensemble SVMs
Stability analysis for stochastic neural network with infinite delay
Graph based emotion recognition with attention pooling for variable-length utterances
Hierarchical clustering of self-organizing maps for cloud classification
Video steganography: A review
VSImG: A high frame rate bitmap based display system for neuroscience research
EDSDF: An Efficient Deep Supervised Distillation Framework for medical image segmentation
EDCCN: A benchmark encoder-decoder framework for accurate crowd counting
Diverse sample generation with multi-branch conditional generative adversarial network for remote sensing objects detection
Exploiting deep representations for natural language processing
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI
SAVETrack: Scene-Adaptive Visual Enhancement Transformer for robust tracking
Multi-level modality-specific and modality-common features fusion network for RGB-IR person re-identification
Customer churn prediction in the telecommunication sector using a rough set approach
Mean-square exponentially input-to-state stability of stochastic Cohen-Grossberg neural networks with time-varying delays
Parameterized cross-validation for nonlinear regression models
Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure
Spike synchronization in a biophysically-detailed model of the olfactory bulb
Supervised learning Laplace transform artificial neural networks and using it for automatic classification of geological structure
Intuitionistic fuzzy twin support vector machines for imbalanced data
Pulsed magnetic field exposure induces lasting changes in neural network dynamics
LAM 3 L: Locally adaptive maximum margin metric learning for visual data classification
Plant root spatial distribution measurements based on the hough transformation
Saliency-guided improvement for hand posture detection and recognition
Cross-modal distillation with audio-text fusion for fine-grained emotion classification using BERT and Wav2vec 2.0
Cross-modal attention fusion network for RGB-D semantic segmentation
Sparse coding extreme learning machine for classification
AdaBoost-inspired multi-operator ensemble strategy for multi-objective evolutionary algorithms
Distributed synchrony
HDS-SP: A novel descriptor for skeleton-based human action recognition
EDENet: Elaborate density estimation network for crowd counting
Adaptive neural network visual control of closed-architecture robots with prescribed-time constraints
Mining concise patterns on graph-connected itemsets
A novel dimensionality-reduction approach for face recognition
Improving speech recognition models with small samples for air traffic control systems
Efficient indexing of binary LSH for high dimensional nearest neighbor
Adaptive one-pass passive-aggressive radial basis function for classification problems
STNet: Seasonal-trend network for multivariate time series forecasting
Energy consumption analysis for the read and write mode of the memristor with voltage threshold in the real-time control system
Multi-relation graph contrastive learning with adaptive strategy for social recommendation
Average controllability of N -duplication corona product networks
HRHPE: FRoI guides heterogeneous relationship representation learning for precise head pose estimation
Topic-guided debiased contrastive learning for neural topic modeling
Deep spatiotemporal residual early-late fusion network for city region vehicle emission pollution prediction
Single image super-resolution via multi-scale residual channel attention network
Detection and recognition of text superimposed in images base on layered method
Variances-constrained weighted extreme learning machine for imbalanced classification
Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks
3D-unified spatial-temporal graph for group activity recognition
A neuroengineering suite of computational tools for visual prostheses
Learning compact and overlap-biased interactions for point cloud registration
Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning
Degradation-resilient transient control of aero-engines via neural dynamic programming: A model-free framework for rate-constrained safety
SimMap: Similarity maps for scale invariant local shape descriptors
EPT-GCN: Edge propagation-based time-aware graph convolution network for POI recommendation
Hierarchical Representation Learning based spatio-temporal data redundancy reduction
Interpretable deep model pruning
Balanced quantum neural architecture search
Guest Editorial: Special issue on advanced computing for image-guided intervention
MGCM: Multi-modal generative compatibility modeling for clothing matching
Class structure visualization with semi-supervised growing self-organizing maps
Data efficient deep learning for liver and liver tumor segmentation: A comprehensive survey
SELM: Semi-supervised ELM with application in sparse calibrated location estimation
Unsupervised domain adaptation based on the predictive uncertainty of models
EOG artifact removal using a wavelet neural network
Parameter estimation based-FDI method enhancement with mixed particle filter
A weighted feature enhanced Hidden Markov Model for spam SMS filtering
Computing with calcium stores and diffusion
Emotion-modulated attention improves expression recognition: A deep learning model
Pinning exponential cluster synchronization for fractional-order complex dynamical networks with switching topology and mode-dependent impulses
The optimal Mexican hat wavelet filter de-noising method based on cross-validation method
State estimation of CPSs with deception attacks: Stability analysis and approximate computation
Multi-stage dimension reduction for expensive sparse multi-objective optimization problems
NN-based adaptive event-triggered predefined time control of flexible joint robot with full-state error constraints
Human recognition using Fisher's discriminant analysis of heartbeat interval features and ECG morphology
Scaling a slow-wave sleep cortical network model using NEOSIM
Neural network based class-conditional probability density function using kernel trick for supervised classifier
SOM-Associated-SNN: Enhancing audio classification with spiking neural networks through single-modality clustering and associative learning
Non-uniform multiple kernel learning with cluster-based gating functions
HTNet for micro-expression recognition
Manifold regularization based distributed semi-supervised learning algorithm using extreme learning machine over time-varying network
Error back-propagation algorithm for classification of imbalanced data
Low-resolution palmprint image denoising by generative adversarial networks
Machine Learning for Signal Processing
On cost-effective software defect prediction: Classification or ranking?
Reinforcement learning-based secure training for adversarial defense in graph neural networks
Efficient and effective strategies for cross-corpus acoustic emotion recognition
Learning local Gaussian process regression for image super-resolution
An improved algorithm for building self-organizing feedforward neural networks
Fast video crowd counting with a Temporal Aware Network
A novel affect-based model of similarity measure of videos
Tracking control optimization scheme of continuous-time nonlinear system via online single network adaptive critic design method
Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
Exploiting hierarchical visual features for visual question answering
RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition
Prototypical recurrent unit
Systematic tracking of coordinated differential network motifs identifies novel disease-related genes by integrating multiple data
Kernel online learning with adaptive kernel width
Temporal coding in an olfactory oscillatory model
TPSC:Text-guided Parameter-Efficient Fine-Tuning Segmentation for object counting
Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework
Rademacher complexity and generalization performance of multi-category margin classifiers
Wearables-based multi-task gait and activity segmentation using recurrent neural networks
IPMGAN: Integrating physical model and generative adversarial network for underwater image enhancement
Significance of random neuronal drive
Adaptive output-feedback bipartite consensus for nonstrict-feedback nonlinear multi-agent systems: A finite-time approach
TransPose: 6D object pose estimation with geometry-aware Transformer
Do biological synapses perform probabilistic computations?
Phase-based storage of information in the cerebellum
Brain MRI image segmentation based on learning local variational Gaussian mixture models
Anxiety recognition based on multimodal social media data and cross-attention mechanism
Cost-sensitive support vector machines
A dual-branch deep interaction network for multi-channel speech enhancement
An independent component analysis based weight initialization method for multilayer perceptrons
Exponential synchronization of chaotic neural networks with mixed delays
Instance-dependent cost-sensitive parametric learning
Sarcasm detection with induced sentimental cues using heuristic search based on unconstrained optimisation learning quantifying callousness on social media
Non-parametric identifier of systems with uncertain model using a Lyapunov-based continuous form of back-propagation method
No-reference stereopair quality assessment based on singular value decomposition
Hybrid serial-parallel photonic reservoir computing based on single semiconductor laser with delayed optical feedback for multivariable task processing
Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory
GDN: Guided down-sampling network for real-time semantic segmentation
Nearest-neighbor method using multiple neighborhood similarities for social media data mining
Convergence of Rprop and variants
HPGCN: Hierarchical poselet-guided graph convolutional network for 3D pose estimation
Scene image retrieval with siamese spatial attention pooling
Dynamic self-organising map
Local condition-based finite-horizon distributed H ∞ -consensus filtering for random parameter system with event-triggering protocols
Towards the representational power of restricted Boltzmann machines
A neural network based modeling and validation approach for identifying gene regulatory networks
Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines
River flow forecast for reservoir management through neural networks
Supervised sparse representation method with a heuristic strategy and face recognition experiments
GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions
Multimodal large model pretraining, adaptation and efficiency optimization
PDFL: Progressive Discriminative Feature Learning for long-tailed recognition
Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint
Complex dynamics of neuronal thresholds
Neuroidentification of a biotechnological process: Issues and application
Physics-informed neural network combined with characteristic-based split for solving forward and inverse problems involving Navier-Stokes equations
Supervised outlier detection for classification and regression
Functional imaging and neuronal information processing
Data Mining in Finance: Advances in Relational and Hybrid Methods. Boris Kovalerchuk and Evgenii Vityaev, Kluwer, Dordrecht, 2000, 308 pp., ISBN 0-7923-7804-0
A graph transformer-driven reinforcement learning based on popularity for mining complex network key nodes
Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding
Toward blind joint demosaicing and denoising of raw color filter array data
FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking
Physiologically inspired neural model for the encoding of face spaces
A palimpsest memory based on an incremental Bayesian learning rule
Embodied concept formation and reasoning via neural-symbolic integration
A stock selection strategy using fuzzy neural networks
Sampled-data observer based event-triggered leader-follower consensus for uncertain nonlinear multi-agent systems ☆
A new pre-conditioned STDP rule and its hardware implementation in neuromorphic crossbar array
Learning sub-patterns in piecewise continuous functions
Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: An average dwell time switching approach
New conditions on synchronization of memristor-based neural networks via differential inclusions