yusuke1997/dblp-id-title huggingface dataset:
Support vector machine with parameter optimization by a novel hybrid method and its application to fault diagnosis
Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network
Medical image segmentation with 3D convolutional neural networks: A survey
τ-NEAT: Initial experiments in precise temporal processing through neuroevolution
Real-domain QR decomposition models employing zeroing neural network and time-discretization formulas for time-varying matrices
Adaptive synchronization of Ghostburster neurons under external electrical stimulation
Hierarchical and overlapping social circle identification in ego networks based on link clustering
A robust incremental learning method for non-stationary environments
Direct neural control of hypersonic flight vehicles with prediction model in discrete time
Recent development in face recognition
Switched learning adaptive neuro-control strategy
Complex dynamical behavior of neural networks in circuit implementation
Distributed robust state and output feedback controller designs for rendezvous of networked autonomous surface vehicles using neural networks
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis
Robust long-term correlation tracking using convolutional features and detection proposals
LPUDC: A Laplacian pyramid neural network for restoring images from under-display cameras
Deep learning-based pose prediction for visual servoing of robotic manipulators using image similarity
A general CPG network and its implementation on the microcontroller
Rapid identification of neuronal structures in electronic microscope image using novel combined multi-scale image features
Domain adaptation for semantic segmentation of road scenes via two-stage alignment of traffic elements
Learning a hyperplane regressor through a tight bound on the VC dimension
Leader-following consensus in second-order multi-agent systems with input time delay: An event-triggered sampling approach
A-Optimal Non-negative Projection with Hessian regularization
Design of an autonomous intelligent Demand-Side Management system using stochastic optimisation evolutionary algorithms
Projective ART with buffers for the high dimensional space clustering and an application to discover stock associations
Fusion method for infrared and visible images based on improved quantum theory model
Non-local means theory based Perona-Malik model for image denosing
Feed-forward inhibition in the visual thalamus
Neuro-adaptive observer based control of flexible joint robot
Global existence of periodic solutions in a six-neuron BAM neural network model with discrete delays
A decentralized learning strategy to restore connectivity during multi-agent formation control
Fixed-time event-triggered pinning synchronization of complex network via aperiodically intermittent control
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
Kernel self-organising maps for classification
Modeling user preferences in content-based image retrieval: A novel attempt to bridge the semantic gap
A real-time machine learning-based methodology for short-term frequency nadir prediction in low-inertia power systems
Estimation of wind speed probability distribution and wind energy potential using adaptive neuro-fuzzy methodology
Information flow in Deep Restricted Boltzmann Machines: An analysis of mutual information between inputs and outputs
Algorithm BOSS (Bag-of-Salient local Spectrums) for non-rigid and partial 3D object retrieval
Assessing microbial colony counting: A deep learning approach with the AGAR image dataset
Accurately modeling the human brain functional correlations with hypergraph Laplacian
Stability and Hopf bifurcation of three-triangle neural networks with delays
Self-organizing feature map with a momentum term
Analysis of automatic image classification methods for Urticaceae pollen classification
Combinative hypergraph learning for semi-supervised image classification
Text-attributed community detection in complex networks through LLMs and GNNs: A powerful fusion of language and graphs
Reducing the conservatism of stability conditions for continuous-time T-S fuzzy systems based on an extended approach
Robust synchronization in an array of fuzzy delayed cellular neural networks with stochastically hybrid coupling
Variational learning of deep fuzzy theoretic nonparametric model
Boosting Naïve Bayes text classification using uncertainty-based selective sampling
A survey on self-supervised learning: Recent advances and open problems
Enhanced distance regularization for re-initialization free level set evolution with application to image segmentation
A conversational ambiguity resolution model for contextual knowledge embedding
Anatomical landmark detection on 3D human shapes by hierarchically utilizing multiple shape features
Infrared ship target tracking based on polarization enhanced features and regulations
Computational and ambient intelligence
Multi-layer adversarial domain adaptation with feature joint distribution constraint
A fuzzified neural fuzzy inference network for handling both linguistic and numerical information simultaneously
Parameter estimation in single-compartment neuron models using a synchronization-based method
Identification method for a class of periodic discrete-time dynamic nonlinear systems based on Sinusoidal ESN
LoRA2: Multi-scale low-rank approximations for fine-tuning large language models
Margin calibration in SVM class-imbalanced learning
Neural mechanisms to improve timing
Multi-level semantic enhancement based on self-distillation BERT for Chinese named entity recognition
Global asymptotic stability of delay BAM neural networks with impulses via nonsmooth analysis
Laplacian least squares twin support vector machine for semi-supervised classification
RD2: Reconstructing the residual sequence via under decomposing and dendritic learning for generalized time series predictions
Fuzzy high-order hybrid clustering algorithm for swarm intelligence sets
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets
Decouple co-adaptation: Classifier randomization for person re-identification
Robust level set image segmentation algorithm using local correntropy-based fuzzy c-means clustering with spatial constraints
Special issue on deep learning for intelligent sensing, decision-making and control
Neural network-based finite-time control of quantized stochastic nonlinear systems
On the use of evolutionary time series analysis for segmenting paleoclimate data
A novel class restriction loss for unsupervised domain adaptation
Post-processing for intra coding through perceptual adversarial learning and progressive refinement
FAUC-S: Deep AUC maximization by focusing on hard samples
A fuzzy weighted average approach for selecting portfolio of new product development projects
Dynamic temperature modeling of continuous annealing furnace using GGAP-RBF neural network
Synchronization of complex-valued neural networks with mixed two additive time-varying delays
Recurrent fuzzy-neural approach for nonlinear control using dynamic structure learning scheme
Multi-modal spiking tensor regression network for audio-visual zero-shot learning
Fully end-to-end EEG to speech translation using multi-scale optimized dual generative adversarial network with cycle-consistency loss
Weakly supervised text classification framework for noisy-labeled imbalanced samples
Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations
Enhancing object recognition: The role of object knowledge decomposition and component-labeled datasets
Finite horizon state estimation for time-varying neural networks with sensor failure and energy constraint
Magnetic flux leakage image classification method for pipeline weld based on optimized convolution kernel
Compass radius estimation for improved image classification using Edge-SIFT
Unsupervised object discovery with pseudo label generated using K-means and self-supervised transformer
A clustered blueprint separable convolutional neural network with high precision for high-speed train bogie fault diagnosis
A GPSO-optimized convolutional neural networks for EEG-based emotion recognition
Adaptive exponential synchronization of memristive neural networks with mixed time-varying delays
Neural ODEs with learnable hybrid activation: A unified framework for differential-algebraic equation solving
New LMI-based condition on global asymptotic stability concerning BAM neural networks of neutral type
Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression
Visual aggregation of large multivariate networks with attribute-enhanced representation learning
On the dimensions of the olfactory perception space
Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks
Competitive Nonlinear Layered Spiking Neural P System for solving classification problems
Homogeneous distribution of excitatory and inhibitory synapses on the dendrites of the cat surea triceps -motoneurons increases synaptic efficacy: Computer model
A joint evaluation of different dimensionality reduction techniques, fusion and learning methods for action recognition
A shapelet-driven distillation generation method for generalized zero-shot learning in compound fault diagnosis
Diverse frequency band-based convolutional neural networks for tonic cold pain assessment using EEG
Improving generalization of MLPs with multi-objective optimization
Multi-objective community detection method by integrating users' behavior attributes
A comprehensive survey on support vector machine classification: Applications, challenges and trends
Robot teaching by teleoperation based on visual interaction and extreme learning machine
Novel calculation of fuzzy exponent in the sigmoid functions for fuzzy neural networks
MGC-net: Semi-supervised domain generalization in medical image segmentation via multi-granularity consistency
Automatic design of pulse coupled neurons for image segmentation
Universal feature selection tool (UniFeat): An open-source tool for dimensionality reduction
Semi-supervised feature learning for disjoint hyperspectral imagery classification
EUAD: End-to-end unsupervised anomaly detection based on few normal data
A review of privacy-preserving techniques for deep learning
Kernelized product quantization
Anti-injury function of complex spiking neural networks under targeted attack
On the almost periodic solution of generalized Hopfield neural networks with time-varying delays
Multimodal progressive contrastive learning for sentiment analysis
Element graph-augmented abstractive summarization for legal public opinion news with graph transformer
IIRI-Net: An interpretable convolutional front-end inspired by IIR filters for speaker identification
Adaptive Koopman contrastive learning for skeleton-based action recognition
A robust model for spatiotemporal dependencies
Bio-inspired computing and applications (LSMS-ICSEE, 2010)
A motion-aware and temporal-enhanced Spatial-Temporal Graph Convolutional Network for skeleton-based human action segmentation
Error analysis of regularized least-square regression with Fredholm kernel
A MOEA/D-based multi-objective optimization algorithm for remote medical
Fused adaptive tensor log-determinant and local smoothness regularizer for multi-view clustering
Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1
Dynamic video mix-up for cross-domain action recognition
An empirical convolutional neural network approach for semantic relation classification
A hierarchical path planning approach based on A ⁎ and least-squares policy iteration for mobile robots
Discriminant sub-dictionary learning with adaptive multiscale superpixel representation for hyperspectral image classification
Formalized model and analysis of mixed swarm based cooperative particle swarm optimization
Image classification based on effective extreme learning machine
Supervised low rank indefinite kernel approximation using minimum enclosing balls
Hessian-based parameter perceptual fingerprint characterization for hyperspectral image classification models
Deep learning for Covid-19 forecasting: State-of-the-art review
Hybrid dwell-time-based H∞ control of switched nonlinear systems and its application to switched neural networks
Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering
Identification of nonlinear aeroelastic system using fuzzy wavelet neural network
Stability and spectra of randomly connected excitatory cortical networks
Human skeleton mutual learning for person re-identification
Multilevel diverse feature aggregation network for salient object detection
Meta channel masking for cross-domain few-shot image classification
A novel extreme learning Machine-based Hammerstein-Wiener model for complex nonlinear industrial processes
Quasi-sliding mode control strategy based on multiple-linear models
Nuclear norm-based matrix regression preserving embedding for face recognition
Generalized Correntropy based deep learning in presence of non-Gaussian noises
Synchronization of fractional-order spatiotemporal complex networks with boundary communication
DEVDAN: Deep evolving denoising autoencoder
Exploring user historical semantic and sentiment preference for microblog sentiment classification
Multi-view clustering via view-specific consensus kernelized graph learning
Improving graph neural network for session-based recommendation system via non-sequential interactions
Flickr group recommendation using rich social media information
UDA-DDA: Unsupervised domain adaptation with dynamic distribution alignment network for emotion recognition using EEG signals
Expression-tailored talking face generation with adaptive cross-modal weighting
Adaptive guidance system design for the assistive robotic walker
Distributed containment control for bounded unknown second-order nonlinear multi-agent systems with dynamic leaders
Distributed coordination of multiple mobile actuators for pollution neutralization
Stability analysis of mixed recurrent neural networks with time delay in the leakage term under impulsive perturbations
Adaptive noise shaping neural spike encoding and decoding
Phase transition between reactive and predictive eye movements is confirmed with nonlinear forecasting and surrogates
Privacy-preserving lightweight face recognition
Delay-dependent global exponential stability for neural networks with time-varying delay
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics
DSM-STWave: Enhancing traffic flow prediction for both offline and online scenarios
Analysis of positive and negative emotions in natural scene using brain activity and GIST
Novel multiobjective TLBO algorithms for the feature subset selection problem
Classification of multiclass motor imagery EEG signal using sparsity approach
Multi-strategy mutual learning network for deformable medical image registration
Sliding-Mode-Control-Theory-Based Adaptive General Type-2 Fuzzy Neural Network Control for Power-line Inspection Robots
Generation of various rhythms by thalamic neural network model
AttributeNet: Attribute enhanced vehicle re-identification
Predicting the direction of stock markets using optimized neural networks with Google Trends
A novel mid-level distinctive feature learning for action recognition via diffusion map
Energy-efficient interspike interval codes
Multi-view clustering via matrix factorization assisted k -means
Adaptive synchronization of multiple uncertain coupled chaotic systems via sliding mode control
Double center swarm exploring varying parameter neurodynamic network for non-convex nonlinear programming
Minimum unbiased risk estimate based 2DPCA for color image denoising
Adaptive impulsive synchronization of fractional order chaotic system with uncertain and unknown parameters
A class of discrete time recurrent neural networks with multivalued neurons
Dual branch parallel steganographic framework based on multi-scale distillation in framelet domain
Representation learning over multiple knowledge graphs for knowledge graphs alignment
On the use of the auditory pathway to represent image scenes in real-time
A novel Monte Carlo simulation for molecular interactions and diffusion in postsynaptic spines
Multimodal face and fingerprint biometrics authentication on space-limited tokens
Life grade recognition method based on supervised uncorrelated orthogonal locality preserving projection and K-nearest neighbor classifier
Self-sustained activity in networks of gain-modulated neurons
Adaptive output-feedback decentralized control of a class of second order nonlinear systems using recurrent fuzzy neural networks
Multi-view semi-supervised learning with adaptive graph fusion
Mixed-signal neuron-synapse implementation for large-scale neural network
A neural network for ℓ 1 -ℓ 2 minimization based on scaled gradient projection: Application to compressed sensing
Kernel least mean square with adaptive kernel size
Application of ICA to X-ray coronary digital subtraction angiography
Sparse short-term time series forecasting models via minimum model complexity
The Euclidean embedding learning based on convolutional neural network for stereo matching
Synchronization of complex dynamical networks with discrete time delays on time scales
Global exponential periodicity of three-unit neural networks in a ring with time-varying delays
A Riemannian rank-adaptive method for low-rank optimization
A systematic review of multi-label feature selection and a new method based on label construction
Bus detection based on sparse representation for transit signal priority
Development of variational quantum deep neural networks for image recognition
Equidistant distribution loss for person re-identification
Multi-order graph based clustering via dynamical low rank tensor approximation
Kinematic skeleton graph augmented network for human parsing
Adaptive energy detection for bird sound detection in complex environments
Text enhanced curriculum supervised contrastive learning for food image recognition
Weakly-supervised auto-encoder via energy regularization and soft multi-label learning on k labeled samples
A spatiotemporal multi-feature extraction framework for opinion mining
Few-shot palmprint recognition based on similarity metric hashing network
A robust and blind 3D watermarking algorithm using multiresolution adaptive parameterization of surface
Edge Feature Empowered Graph Attention Network for Sum Rate Maximization in Heterogeneous D2D Communication System
Improving neural machine translation with latent features feedback
Robust high performance reinforcement learning through weighted k-nearest neighbors
Neural computation in paleoclimatology: General methodology and a case study
A hybrid approach combining sentiment analysis and deep learning to mitigate data sparsity in recommender systems
Partial least-squares algorithm for weights initialization of backpropagation network
Topology analysis of EEG-based functional brain network after stroke
A scalable attribute-aware network embedding system
Enhancing robust generalization through appropriate adversarial example attack intensity
Discriminatively guided filtering (DGF) for hyperspectral image classification
Upper bound on pattern storage in feedforward networks
Neuromodulation of short-term synaptic dynamics examined in a mechanistic model based on kinetics of calcium currents
The repo market in Mexico: Empirics and stylized facts
Min-Max Q-learning for multi-player pursuit-evasion games
Web video topics discovery and structuralization with social network
Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood
Attention-modulated frequency-aware pooling via spatial guidance
Neural maps for faithful data modelling in medicine - state-of-the-art and exemplary applications
Density peak clustering via only new upward distance on sub-cluster shared neighbors space without setting cluster centers manually
Neural network-based region reaching formation control for multi-robot systems in obstacle environment
A flexible free-space detection system based on stereo vision
Hybrid collaborative recommendation of co-embedded item attributes and graph features
A TD3-based multi-agent deep reinforcement learning method in mixed cooperation-competition environment
Adaptive finite-time stabilization of a class of switched nonlinear systems using neural networks
Tensor decomposition and application in image classification with histogram of oriented gradients
Robust RGB-D face recognition using Kinect sensor
Joint coupled representation and homogeneous reconstruction for multi-resolution small sample face recognition
Image categorization using non-negative kernel sparse representation
Distantly Supervised relation extraction with multi-level contextual information integration
PointVGG: Graph convolutional network with progressive aggregating features on point clouds
An anti-Hebbian model of familiarity discrimination in the perirhinal cortex
Stability of periodic solution in fuzzy BAM neural networks with finite distributed delays
High resolution non-rigid dense matching based on optimized sampling
Recursive Dimension Reduction for semisupervised learning
On defining affinity graph for spectral clustering through ranking on manifolds
Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data
Encoding of pheromone intensity by dynamic activation of pheromone receptors
Hybrid attention-oriented experience replay for deep reinforcement learning and its application to a multi-robot cooperative hunting problem
Multi-scale fully convolutional network for gland segmentation using three-class classification
Error bounds of adversarial bipartite ranking
Local regularization concept factorization and its semi-supervised extension for image representation
A collective neurodynamic approach for solving distributed system optimum dynamic traffic assignment problems
A survey of automated essay scoring: Challenges, advances, and future
A new correlation-based measure of spike timing reliability
Adaptive neuro-control for spacecraft attitude control
Robust prescribed-time containment control for high-order uncertain multi-agent systems with extended state observer
Accommodation in motoneuron models with passive dendrite: Response to linearly rising currents
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting
Comparison of Reservoir Computing topologies using the Recurrent Kernel approach
Exploratory study on Class Imbalance and solutions for Network Traffic Classification
Consequence of morphological alterations on synaptic function
Visual selection of standard wells for large scale logging data via discrete choice model
Semi-supervised structured nonnegative matrix factorization for anchor graph embedding
Using combinatorial optimization to solve entity alignment: An efficient unsupervised model
Learning semantic priors for texture-realistic sketch-to-image synthesis
Big traffic data processing framework for intelligent monitoring and recording systems
Structured detail enhancement for cross-modality face synthesis
Image-text dual neural network with decision strategy for small-sample image classification
Classification of long sequential data using circular dilated convolutional neural networks
Top-k discriminative feature selection with uncorrelated and ℓ2, 0-norm equation constraints
Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions
Convex space learning for tabular synthetic data generation
Spatial-temporal modeling for prediction of stylized human motion
A fast hybrid retargeting scheme with seam context and content aware strip partition
Maximizing Gaussianity using kurtosis measurement in the kernel space for kernel linear discriminant analysis
Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model