yusuke1997/dblp-id-title huggingface dataset:
Finite-time control of switched stochastic delayed systems
Improved almost sure stability criteria of stochastic complex-valued dynamical networks with hybrid impulses
Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19
Leveraging k-NN for generic classification boosting
BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables
A quantitative analysis of firing rate estimators: Unveiling bias sources
Multitask dictionary learning and sparse representation based single-image super-resolution reconstruction
A review of deep learning in dentistry
Variable selection with neural networks
Multi-perspective social recommendation method with graph representation learning
More general results of aperiodically intermittent synchronization for stochastic Markovian switching complex networks with multi-links and time-varying coupling structure
Feed-forward neural network for one-to-many mappings using fuzzy sets
On the design and analysis of structured-ANN for online PID-tuning to bulk resumption process in ore mining system
Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor
Displaced strategies optimize connectivity in neocortical networks
Towards interactive reinforcement learning with intrinsic feedback
FedATA: Adaptive attention aggregation for federated self-supervised medical image segmentation
Leveraging orientation for weakly supervised object detection with application to firearm localization
Episodic Associative Memories
Comparing multi-class classifier performance by multi-class ROC analysis: A nonparametric approach
Evaluation of automated-trading strategies using an artificial market
A latent attractors model of context selection in the dentate gyrus-hilus system
Coexistence and locally exponential stability of multiple equilibrium points for fractional-order impulsive control Cohen-Grossberg neural networks
Coupled image and kernel prior learning for high-generalized super-resolution
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection
Control of a robot leg with an adaptive aVLSI CPG chip
A new measure for bursting
Hessian semi-supervised extreme learning machine
Constructive training of probabilistic neural networks
Graph-based few-shot learning with transformed feature propagation and optimal class allocation
Apprenticeship learning with few examples
Image hashing with color vector angle
Increasing CS and US longevity increases the learnable trace interval
Interactive segmentation based on iterative learning for multiple-feature fusion
Spatial-aware stacked regression network for real-time 3D hand pose estimation
Fault tolerant control based on stochastic distributions via MLP neural networks
Reactive power control of grid-connected wind farm based on adaptive dynamic programming
Bringing AI to edge: From deep learning's perspective
High-speed video salient object detection with temporal propagation using correlation filter
A novel scene classification model combining ResNet based transfer learning and data augmentation with a filter
Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis
EEG responses to emotional videos can quantitatively predict big-five personality traits
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies
An empirical study of excitation and aggregation design adaptions in CLIP4Clip for video-text retrieval
A fuzzy adaptive control approach for nonlinear systems with unknown control gain sign
Short-term synaptic dynamics promote phase maintenance in multi-phasic rhythms
Genetic tracker with neural network for single and multiple target tracking
Ideal observer of single neuron activity
Reachable set estimation for genetic regulatory networks with time-varying delays and bounded disturbances
Computing with inter-spike interval codes in networks of integrate and fire neurons
Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search
Electronic editor: automatic content-based sequential compilation of newspaper articles
A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis
Mapping adaptive resonance theory onto ring and mesh architectures
ReasonFuse: Reason Path Driven and Global-Local Fusion Network for Numerical Table-Text Question Answering
MM-instruct: Generated visual instructions for large multimodal model alignment
A parallel and efficient algorithm for multicompartment neuronal modelling
Pedestrian Intention Prediction for Autonomous Vehicles: A Comprehensive Survey
Model design for networks of heterogeneous Hodgkin-Huxley neurons
Seismic detection using support vector machines
Research on the related problems of extended alternating projection neural network
Spatial filtering based on Riemannian distance to improve the generalization of ErrP classification
Multi-camera tracking using a Multi-Goal Social Force Model
Active label distribution learning
A modified projection neural network with fixed-time convergence
Hardware implementation of evolvable block-based neural networks utilizing a cost efficient sigmoid-like activation function
Stability analysis of generalized neural networks with time-varying delays via a new integral inequality
A survey of methods for addressing the challenges of referring image segmentation
Joint optimization of downlink and D2D transmissions for SVC streaming in cooperative cellular networks
Winner-take-all competition with heterogeneous dynamic agents
Attention Round for post-training quantization
FFPointNet: Local and global fused feature for 3D point clouds analysis
A role of synaptic variation depending on precise timings of pre- and postsynaptic depolarization in suppression of disturbance due to tail bending for accurate electrolocation
Facade parsing via joint structural priors and phased deep learning
Image noise detection in global illumination methods based on FRVM
Discrete-time nonlinear optimization via zeroing neural dynamics based on explicit linear multi-step methods for tracking control of robot manipulators
The THU multi-view face database for videoconferences and baseline evaluations
Self-attention eidetic 3D-LSTM: Video prediction models for traffic flow forecasting
Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function
Optimizing information capacity in modular neural networks through excitatory and inhibitory connectivity
Adaptive neural network control for robotic manipulators with guaranteed finite-time convergence
Evolutionary bagging for ensemble learning
Multi-view semi-supervised feature selection with multi-order similarity and tensor learning
DAST-Net: Dense visual attention augmented spatio-temporal network for unsupervised video anomaly detection
3D reconstruction of medical images from slices automatically landmarked with growing neural models
TMAN: A temporal multimodal attention network for backchannel detection
An online sequential extreme learning machine for tidal prediction based on improved Gath-Geva fuzzy segmentation
Global-aware Interaction Network for RGB-D salient object detection
A multi-component nonlinear prediction system for the S&P 500 Index
Analyzing Flickr metadata to extract location-based information and semantically organize its photo content
GPU acceleration of nonlinear diffusion tensor estimation using CUDA and MPI
Phase synchronization between a light-dependent neuron and a thermosensitive neuron
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots
Network anomaly detection with the restricted Boltzmann machine
Hybrid interpretable predictive machine learning model for air pollution prediction
Adaptive synchronization of delayed reaction-diffusion neural networks with unknown non-identical time-varying coupling strengths
A distributed neurodynamic algorithm for sparse signal reconstruction via ℓ1-minimization
Attentive feature integration network for detecting salient objects in images
A hierarchical meta-model for multi-class mental task based brain-computer interfaces
FCM-DCS: Fuzzy C means distorted contour-based segmentation model for breast cancer detection
A deep thermal-guided approach for effective low-light visible image enhancement
A functional role of interaction between IT cortex and PF cortex in visual categorization task
Novel class detection in data streams using local patterns and neighborhood graph
Generalized splitting functions for blind separation of complex signals
Modified orthogonal discriminant projection for classification
Piecewise function based gravitational search algorithm and its application on parameter identification of AVR system
A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome
Augmented ELBO regularization for enhanced clustering in variational autoencoders
Model-agnostic personalized adaptation for segment anything model
A Prelude to Neural Networks: Adaptive and Learning Systems: J. Mendel (Ed.). Prentice-Hall, Englewood Cliffs, NJ, 1994, pp. 444. ISBN 0-13-147448-0
Assistive systems for visually impaired people: A survey on current requirements and advancements
Adaptive knowledge transfer for data-free low-bit quantization via tiered collaborative learning
Rethinking attention mechanism for enhanced pedestrian attribute recognition
Recursive prediction for long term time series forecasting using advanced models
Robust feature selection via simultaneous sapped norm and sparse regularizer minimization
Interlayer synchronization of duplex time-delay network with delayed pinning impulses
IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine
FS-Net collaborative flattening transformation for high performance 3D-to-2D vessel segmentation in OCTA images
A robust coherent point drift approach based on rotation invariant shape context
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion
Elastic net orthogonal forward regression
Adaptive synchronization of fractional-order complex-valued coupled neural networks via direct error method
A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction
Adaptive robust control based on single neural network approximation for a class of uncertain strict-feedback discrete-time nonlinear systems
Blind source extraction based on generalized autocorrelations and complexity pursuit
Robust visual tracking via Laplacian Regularized Random Walk Ranking
CAGCN: Causal attention graph convolutional network against adversarial attacks
Adaptive neural network models for automatic incident detection on freeways
The effect of synaptic depression on stochastic resonance
Bayesian generalization error in linear neural networks with concept bottleneck structure and multitask formulation
An improved locality preserving projection with ℓ 1 -norm minimization for dimensionality reduction
On extending extreme learning machine to non-redundant synergy pattern based graph classification
Further research on exponential stability for quaternion-valued neural networks with mixed delays
Lightweight visual backbone network with enhanced comprehensive strength through context-aware dual attention mechanism
Tracking control for polynomial fuzzy networked systems with repeated scalar nonlinearities
Label-guided Attention Distillation for lane segmentation
Use of human gestures for controlling a mobile robot via adaptive CMAC network and fuzzy logic controller
Neural-network-based output-feedback adaptive dynamic surface control for a class of stochastic nonlinear time-delay systems with unknown control directions
TD-Net: Trans-Deformer network for automatic pancreas segmentation
Robust face recognition based on illumination invariant in nonsubsampled contourlet transform domain
Adaptive event-triggered pseudolinear consensus filter for multi-UAVs bearings-only target tracking
Top-aware reinforcement learning based recommendation
Robust reliable H ∞ control for stochastic neural networks with randomly occurring delays
Deep multi-view subspace adversarial clustering network via NMF feature enhancement
Joint sparse representation for video-based face recognition
Networked control for T-S fuzzy descriptor systems with network-induced delay and packet disordering
Distant supervised relation extraction with position feature attention and selective bag attention
DR 2 -Net: Deep Residual Reconstruction Network for image compressive sensing
Discovering causality for efficient cooperation in multi-agent environments
GFR: Generic feature representations for class incremental learning
Occluded prohibited object detection in X-ray images with global Context-aware Multi-Scale feature Aggregation
Improved SFFS method for channel selection in motor imagery based BCI
Enhancing missing data imputation through combined bipartite graph and complete directed graph
Design of memory network model based on DNA strand displacement and its application in prediction
Adaptive tracking control for an unmanned autonomous helicopter using neural network and disturbance observer
A photovoltaic power forecasting model based on dendritic neuron networks with the aid of wavelet transform
Concurrent genetic optimization for joint design of source and channel codes
Unsupervised temporal action segmentation with sample discrimination training and alignment-based boundary refinement
Distance constraint between features for unsupervised domain adaptive person re-identification
ListNet-based object proposals ranking
Multi-modal data clustering using deep learning: A systematic review
A survey of decomposition approaches in multiobjective evolutionary algorithms
Integral reinforcement learning-based optimal output feedback control for linear continuous-time systems with input delay
Diagnosis of misalignment faults by tacholess order tracking analysis and RBF networks
A new sub-pixel mapping algorithm based on a BP neural network with an observation model
Adaptive position tracking control of permanent magnet synchronous motor based on RBF fast terminal sliding mode control
Unsupervised learning of synaptic delays based on learning automata in an RBF-like network of spiking neurons for data clustering
Analysis of univariate time series with connectionist nets: A case study of two classical examples
New delay-decomposing approaches to stability criteria for delayed neural networks
Distributing DNN training over IoT edge devices based on transfer learning
An execution time neural-CBR guidance assistant
Sparse Multi-Modal Topical Coding for Image Annotation
Constrained discriminant neighborhood embedding for high dimensional data feature extraction
A multimodal knowledge synergistic pre-training framework with masked vision-language modeling for remote sensing
Real-time estimation of predictive firing rate
Finite Newton method for Lagrangian support vector machine classification
Adaptive temporal aggregation for table tennis shot recognition
Polynomial models of gene dynamics
Multi-directional continuous association with input-driven neural dynamics
Perturbation method for deleting redundant inputs of perceptron networks
Self-paced multi-task clustering
Advances in Quantum Machine Learning and Deep Learning for Image Classification: A Survey
A biased minimax probability machine-based scheme for relevance feedback in image retrieval
Spatial and channel enhanced self-attention network for efficient single image super-resolution
Large language model augmented syntax-aware domain adaptation method for aspect-based sentiment analysis
Cluster structure preserving unsupervised feature selection for multi-view tasks
Evolutionary extreme learning machine ensembles with size control
Congested crowd instance localization with dilated convolutional swin transformer
Development of a new EDRNN procedure in control of human arm trajectories
Performance-enhancing network pruning for crowd counting
Real-time discrete neural control applied to a Linear Induction Motor
Gamma oscillations in a minimal CA3 model
EEG-based epileptic seizure detection using deep learning techniques: A survey
Graph classification based on structural features of significant nodes and spatial convolutional neural networks
Finite-time synchronization of memristive neural networks with discontinuous activation functions and mixed time-varying delays
Learning graph representation by aggregating subgraphs via mutual information maximization
Dual dynamic multi-granularity fusion method for multimodal sarcasm detection
A hybrid soft sensor for measuring hot-rolled strip temperature in the laminar cooling process
Bounded synchronization of coupled Kuramoto oscillators with phase lags via distributed impulsive control
Robust boundary iterative learning control for a class of nonlinear hyperbolic systems with unmatched uncertainties and disturbance
Interval kernel Fuzzy C-Means clustering of incomplete data
Graph Regularized Sparsity Discriminant Analysis for face recognition
Sparse-view CT image reconstruction using conditional embedding fusion diffusion model
Adaptive search for broad attention based vision transformers
Detecting novelties in time series through neural networks forecasting with robust confidence intervals
Incomplete multi-view clustering via deep semantic mapping
Normalized dimensionality reduction using nonnegative matrix factorization
Hybrid neural recommendation with joint deep representation learning of ratings and reviews
Diffusive neural network
Solving for a quadratic programming with a quadratic constraint based on a neural network frame
Proactive cooperative consensus control for a class of human-in-the-loop multi-agent systems with human time-delays
Evaluating cooperative-competitive dynamics with deep Q-learning
EC-DNN: A new method for parallel training of deep neural networks
HSIseg: Progressively enhanced extensible multi-modality framework for large patch-wise hyperspectral image segmentation
Ensemble deep neural network based quality of service prediction for cloud service recommendation
Nuclei segmentation using attention aware and adversarial networks
A novel variational model for noise robust document image binarization
Spiking neural predictive coding for continually learning from data streams
PGFC-Net: Parallel-Encoding Gaussian Feature Coordination-Enhanced Network for accurate 3D hepatic vessel and inferior vena cava segmentation
Fast and robust learning through fuzzy linear proximal support vector machines
Local and global structure preserving based feature selection
Finite time synchronization of Markovian jumping stochastic complex dynamical systems with mix delays via hybrid control strategy
An extended variational image decomposition model for color image enhancement
Kernel-target alignment based non-linear metric learning
Adaptive neural control of the dissolved oxygen concentration in WWTPs based on disturbance observer
Deep convolutional neural networks meet variational shape compactness priors for image segmentation
A model for neural representation of intervals of time
Emergent population activity in metric-free and metric networks of neurons with stochastic spontaneous spikes and dynamic synapses
Fault detection based on a robust one class support vector machine
Improved exponential stability criteria for neural networks with time-varying delays
A novel single fuzzy approximation based adaptive control for a class of uncertain strict-feedback discrete-time nonlinear systems
Sample-screening MKL method via boosting strategy for hyperspectral image classification
An algorithm for low-rank matrix factorization and its applications
Convergence of non-autonomous discrete-time Hopfield model with delays
Employing quaternion wavelet transform for banknote classification
A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants
Improved delay-dependent stability criteria for recurrent neural networks with time-varying delays
Uncorrelated slow feature discriminant analysis using globality preserving projections for feature extraction
Dynamic sparse directed graph convolutional network with attention mechanisms for EEG emotion recognition
Modeling sustainability report scoring sequences using an attractor network
Selective attention system using new active noise controller
A 2 : Extracting cyclic switchings from DOB-nets for rejecting excessive disturbances
Automatic detection of absence seizures with compressive sensing EEG
Symbols versus connections: 50 years of artificial intelligence
Searching efficient network with lightweight optimization for image super-resolution
Structure-aware person search with self-attention and online instance aggregation matching
Islanding detection method using ridgelet probabilistic neural network in distributed generation
Multi-view hypergraph learning by patch alignment framework
Hierarchical text classification with multi-label contrastive learning and KNN
Graph attention autoencoder inspired CNN based brain tumor classification using MRI
Interactive POS-aware network for aspect-level sentiment classification
The build of n-Bits Binary Coding ICBP Ensemble System
A passport recognition and face verification using enhanced fuzzy ART based RBF network and PCA algorithm
Multimodal representation learning with hierarchical knowledge decomposition for cancer survival analysis
Sequential optimal experiment design for neural networks using multiple linearization
Policy distillation for efficient decentralized execution in multi-agent reinforcement learning
SGAT: Snapshot-guided adversarial training of neural networks
Asymptotic tracking control scheme for mechanical systems with external disturbances and friction
Enhancement of guided thermal image super-resolution approaches
A fixed-time synchronization-based secure communication scheme for two-layer hybrid coupled networks
Whole slide cervical cancer classification via graph attention networks and contrastive learning
Spatio-temporal matching for siamese visual tracking
Design of a self-organizing reciprocal modular neural network for nonlinear system modeling
SF-GPT: A training-free method to enhance capabilities for knowledge graph construction in LLMs
Cascaded SE-ResUnet for segmentation of thoracic organs at risk
Successive approximation training algorithm for feedforward neural networks
Label-dependent node classification in the network
Orthogonal Projective Sparse Coding for image representation
A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks
Auto-encoder based structured dictionary learning for visual classification
Physics-informed neural networks enhanced by cross-attention-based feature fusion and fuzzy logic for solving nonlinear PDEs
Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning
An efficient slap fingerprint segmentation and hand classification algorithm
A framework for hierarchical division of retinal vascular networks
Working condition decoupling adversarial network: A novel method for multi-target domain fault diagnosis
A new prognostic model for accurate assessment of hepatocellular carcinoma risk using RNA editing data and unsupervised machine learning
Deep Weibull hashing with maximum mean discrepancy quantization for image retrieval
Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm
Event-based distributed state estimation under deception attack
Synchronization of delayed coupled switched neural networks: Mode-dependent average impulsive interval
Refined U-net: A new semantic technique on hand segmentation
Path planning for solar-powered UAV in urban environment
A clustering fusion technique for MR brain tissue segmentation