yusuke1997/dblp-id-title huggingface dataset:
The computational model for border-ownership determination consisting of surrounding suppression and facilitation in early vision
Stability analysis and stabilization for fuzzy hyperbolic time-delay system based on delay partitioning approach
Robust stochastic stability analysis of Markovian switching genetic regulatory networks with discrete and distributed delays
A text feature-based approach for literature mining of lncRNA-protein interactions
A general kernelization framework for learning algorithms based on kernel PCA
Illumination normalization based on correction of large-scale components for face recognition
Class-driven concept factorization for image representation
Bi-directional skip connection feature pyramid network and sub-pixel convolution for high-quality object detection
Finding optimal model parameters by deterministic and annealed focused grid search
Deep network for human action recognition using Weber motion
Finite-time synchronization of time-delayed neural networks with unknown parameters via adaptive control
A clustering based hybrid system for biomarker selection and sample classification of mass spectrometry data
Adaptive conjugate gradient algorithm for perceptron training
Relational generative topographic mapping
Spectral clustering of high-dimensional data exploiting sparse representation vectors
Disturbance observer-based robust control for trajectory tracking of wheeled mobile robots
Deep learning in video multi-object tracking: A survey
Continuous attractors of higher-order recurrent neural networks with infinite neurons
Dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability
Radial-based undersampling approach with adaptive undersampling ratio determination
Robust world-modelling and navigation in a real world
Video-based road detection via online structural learning
MRAC for unknown discrete-time nonlinear systems based on supervised neural dynamic programming
Granular transfer learning
A linear multivariate decision tree with branch-and-bound components
A dual reverse distillation scheme for image anomaly detection
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
Advances in Extreme Learning Machines (ELM2011)
Inferring statistically significant features from random forests
Bi-modal derivative activation function for sigmoidal feedforward networks
Deep learning based matrix completion
Disease and personality information enhanced depression detection based on the TransGCL framework
Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling
HyperDNE: Enhanced hypergraph neural network for dynamic network embedding
A robust parameters self-tuning learning algorithm for multilayer feedforward neural network
Multiclass discriminant analysis via adaptive weighted scheme
Method of predicting human mobility patterns using deep learning
A unified neural oscillator model for various rhythmic locomotions of snake-like robot
Discrete-time ZNN-based noise-handling ten-instant algorithm solving Yang-Baxter-like matrix equation with disturbances
A universal sampling method based on feature and structural comprehensive proximity measure
Some results on the Sign recurrent neural network for unconstrained minimization
mGluR-Mediated calcium oscillations in the lamprey: a computational model
Effective packet number for early stage internet traffic identification
Efficient solutions of interactive dynamic influence diagrams using model identification
Diffusion-based saliency detection with optimal seed selection scheme
Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
Existence-uniqueness and stability of reaction-diffusion stochastic Hopfield neural networks with S-type distributed time delays
A reliable method for designing an automatic karyotyping system
Fast sparse approximation of extreme learning machine
Frame-GAN: Increasing the frame rate of gait videos with generative adversarial networks
Independent component analysis forms place cells in realistic robot simulations
Interval kernel regression
A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome
Anti-disturbance fault diagnosis for non-Gaussian stochastic distribution systems with multiple disturbances
Gene selection for microarray data classification via dual latent representation learning
DHFNet: Decoupled Hierarchical Fusion Network for RGB-T dense prediction tasks
Radial basis functional link nets and fuzzy reasoning
Denoising of magnetoencephalographic data using spatial averaging
Target detection through image processing and resilient propagation algorithms
Locality-constrained sparse patch coding for 3D shape retrieval
Decentralized reliable guaranteed cost control for large-scale nonlinear systems using actor-critic network
Stability of bidirectional associative memory neural networks with Markov switching via ergodic method and the law of large numbers
Learning deep event models for crowd anomaly detection
A linear ridgelet network
Natural image statistics based 3D reduced reference image quality assessment in contourlet domain
Study on novel Curvature Features for 3D fingerprint recognition
Q-Learning-based parameters adaptive algorithm for active disturbance rejection control and its application to ship course control
Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework
EMPViT: Efficient multi-path vision transformer for security risks detection in power distribution network
Local scaling heuristic-based regularization for pattern classification
Representation of neural networks through their multi-linearization
Theoretical analysis of batch and on-line training for gradient descent learning in neural networks
Lagrange stability analysis for complex-valued neural networks with leakage delay and mixed time-varying delays
Region-of-interest extraction based on spectrum saliency analysis and coherence-enhancing diffusion model in remote sensing images
Scalable spectral ensemble clustering via building representative co-association matrix
Blind image deblurring by promoting group sparsity
Model complexities of shallow networks representing highly varying functions
Spiking Neural Network with plasticity in the time domain recovers temporal information from a noisy pattern using reference spikes
Investigating intensity and transversal drift in hyperspectral imaging data
Trace ratio 2DLDA with L1-norm optimization
A combinatorial necessary and sufficient condition for cluster consensus
Object detection and crowd analysis using deep learning techniques: Comprehensive review and future directions
Flight control of honeybee in the Y-maze
Mobile behavior trusted certification based on multivariate behavior sequences
A fast Markov chain based algorithm for MIML learning
WaterBox: Weakly supervised underwater instance segmentation and a new benchmark
Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis
Discriminative learning by sparse representation for classification
The Hopf bifurcation analysis on a time-delayed recurrent neural network in the frequency domain
The status-based optimization: Algorithm and comprehensive performance analysis
A privacy-preserving approach for multimodal transaction data integrated analysis
Observer-based event-triggered consensus of leader-following linear multi-agent systems with input saturation and switching topologies
Tensor Rank One Discriminant Analysis - A convergent method for discriminative multilinear subspace selection
Dynamic phase synchronization characteristics of variable high-order coupled neuronal oscillator population
An ensemble kernel classifier with immune clonal selection algorithm for automatic discriminant of primary open-angle glaucoma
Maximum margin criterion with tensor representation
Jensen-Shannon divergence based novel loss functions for Bayesian neural networks
A new history experience replay design for model-free adaptive dynamic programming
MMTF-DES: A fusion of multimodal transformer models for desire, emotion, and sentiment analysis of social media data
Diagnosis and location of the open-circuit fault in modular multilevel converters: An improved machine learning method
Gain-scheduled state estimation for discrete-time complex networks under bit-rate constraints
MCFN: Multi-scale Crossover Feed-forward Network for high performance watermarking
Neural network-based adaptive tracking control for nonlinearly parameterized systems with unknown input nonlinearities
Dimension estimation of image manifolds by minimal cover approximation
Finite-time stochastic synchronization of genetic regulatory networks
Dynamic pruning algorithm for multilayer perceptron based neural control systems
PSO-based method for SVM classification on skewed data sets
Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds
Predicting dynamic deformation of retaining structure by LSSVR-based time series method
Synaptic model for spontaneous activity in developing networks
CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images
Global robust stability analysis of uncertain neural networks with time varying delays
Learning 3D faces from 2D images via Stacked Contractive Autoencoder
Support vector machines for interval discriminant analysis
Ensembling perturbation-based oversamplers for imbalanced datasets
Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations
Handwritten digit recognition using biologically inspired features
Dual-Markov dynamic event-triggered synchronization of neural networks under asynchronous cyber attacks
Exponential stability of hybrid stochastic neural networks with mixed time delays and nonlinearity
An efficient method for pruning redundant negative and positive association rules
IdentityDP: Differential private identification protection for face images
The reconstitution predictive network for precipitation nowcasting
Deep learning-based lane detection for intelligent driving: A comprehensive survey of methods, datasets, challenges and outlooks
Computing with active dendrites
MPE3: Learning meta-prompt with entity-enhanced semantics for few-shot named entity recognition
New stability criteria for BAM neural networks with time-varying delays
Learning deep features for source color laser printer identification based on cascaded learning
A neural model that implements probabilistic topics
The isthmo-optic nucleus: : A possible neural substrate for visual competition
Event-triggered control strategy based on absolute velocity and relative position measurements for second-order nonlinear multi-agent systems under DoS attacks
Generating natural adversarial examples with universal perturbations for text classification
Analysis of complexity indices for classification problems: Cancer gene expression data
Event-triggered impulsive control design for synchronization of inertial neural networks with time delays
Neural-networks-based event-triggered consensus tracking control for nonlinear MASs with DoS attacks
Periodic event-triggered consensus of multi-agent systems under directed topology
Stochastic stability analysis of competitive neural networks with different time-scales
GFO: A data driven approach for optimizing the Gaussian function based similarity metric in computational biology
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations"
Dynamic aurora sequence recognition using Volume Local Directional Pattern with local and global features
EEG evidence for mirror neuron activity during the observation of human and robot actions: Toward an analysis of the human qualities of interactive robots
Environment sound classification using an attention-based residual neural network
Sensitivity study of Binary Feedforward Neural Networks
Multi-view learning for hyperspectral image classification: An overview
SVP: stratified vertical priors for LiDAR-based 3D object detection
Detecting thoracic diseases via representation learning with adaptive sampling
Spatial-temporal pooling for action recognition in videos
Distributed content filtering algorithm based on data label and policy expression in active distribution networks
An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification
A 2.5D semantic segmentation of the pancreas using attention guided dual context embedded U-Net
Organization of primate amygdalo-prefrontal projections
Automatic diagnosis method for structural fault of rotating machinery based on distinctive frequency components and support vector machines under varied operating conditions
Research on virus detection technique based on ensemble neural network and SVM
Cross-domain data-driven reinforcement learning for IGSO satellite coverage optimization
Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble
Robust data representation using locally linear embedding guided PCA
Principal curvatures based rotation invariant algorithms for efficient texture classification
Facial landmark localization by enhanced convolutional neural network
Self-weighted subspace clustering with adaptive neighbors
Exponential stability and periodic solutions of fuzzy cellular neural networks with time-varying delays
A scalable CNN architecture and its application to short exposure stellar images processing on a HPRC
SynapseHD: A unified training framework for bridging spiking neural networks and hyperdimensional computing
Visual object tracking with online weighted chaotic multiple instance learning
Confidence level auto-weighting robust multi-view subspace clustering
Sparse least square support vector machine via coupled compressive pruning
Possible role of synchronous input spike trains in controlling the function of neural networks
Robust pole assignment in a specified union region using harmony search algorithm
Unified quantified adaptive control for multiple-time stochastic synchronization of coupled memristive neural networks
Using multilayer perceptrons as receptive fields in the design of neural networks
A world survey of artificial brain projects, Part I: Large-scale brain simulations
A neural network with a single recurrent unit for associative memories based on linear optimization
Nondiscriminatory treatment: A straightforward framework for multi-human parsing
Memory-augmented prototypical meta-learning method for bearing fault identification under few-sample conditions
Learnable Bi-directional Data Augmentation for few-shot cross-domain point cloud classification
Suppressive effects in visual search: A neurocomputational analysis of preview search
Extracting the fetal heart rate variability using a frequency tracking algorithm
Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression
A modified Morris-Lecar model for interacting ion channels
Zero-shot compound fault diagnosis with semantic graph embedding and multi-stage fusion
Effects of noise on recurrence in networks of spiking neurons
Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons
Detection of epilepsy with Electroencephalogram using rule-based classifiers
A novel neural network for solving convex quadratic programming problems subject to equality and inequality constraints
Face recognition approach by subspace extended sparse representation and discriminative feature learning
Semantic concept detection for video based on extreme learning machine
Weakly supervised semantic segmentation via self-supervised destruction learning
Real-time fuzzy system identification using uncertainty bounds
Learning in multi-agent systems with asymmetric information structure
Label embedding semantic-guided hashing
CoMaSa:Context Multi-aware Self-attention for emotional response generation
Learning multi-region features for vehicle re-identification with context-based ranking method
An analysis of global exponential stability of bidirectional associative memory neural networks with constant time delays
The almost periodic solution of Lotka-Volterra recurrent neural networks with delays
Visuomotor tracking on a computer screen - an experimental paradigm to study the dynamics of motor control
Neural-embedded learning control for fully-actuated flying platform of aerial manipulation system
Unbiased FIR, Kalman, and game theory H∞ filtering under bernoulli distributed random delays and packet dropouts
Stability analysis of quaternion-valued BAM neural networks fractional-order model with impulses and proportional delays
Low-dose CT image denoising using residual convolutional network with fractional TV loss
Finite-time synchronization of multi-layer nonlinear coupled complex networks via intermittent feedback control
Effective pixel classification of Mars images based on ant colony optimization feature selection and extreme learning machine
High quality multi-spectral and panchromatic image fusion technologies based on Curvelet transform
RANSP: Ranking attention network for saliency prediction on omnidirectional images
Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks
Uniform stable radial basis function neural network for the prediction in two mechatronic processes
Periodic solution to BAM neural network with delays on time scales
A comparison of artificial neural network and time series models for forecasting commodity prices
Cloud-based self-triggered coordination for nonlinear multi-agent consensus
Unsupervised learning for community detection in attributed networks based on graph convolutional network
Boosting graph neural network via dynamic structure refinement for multi-omics cancer classification
Conditional restricted Boltzmann machine for item recommendation
Automatic determination of cutoff frequency for filter design using neuro-fuzzy systems
No routing needed between capsules
AI-powered tactical optimization in dynamic team sports: A hierarchical reinforcement learning approach
Passivity and robust passivity of impulsive inertial neural networks with proportional delays under the non-reduced order approach
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease
Image registration by normalized mapping
RF-OSFBLS: An RFID reader-fault-adaptive localization system based on online sequential fuzzy broad learning system
Editorial: Neural learning in life system and energy system
Revealing the underlying patterns: Investigating dataset similarity, performance, and generalization
Real-time video super-resolution via motion convolution kernel estimation
Hyperspectral image classification with discriminative manifold broad learning system
EPAN: Effective parts attention network for scene text recognition
Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation
Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks
Correntropy based label loss for multi-classification on deep neural networks
JMNET: Arbitrary-shaped scene text detection using multi-space perception
Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty
Adaptive neural finite-time control for a class of switched nonlinear systems
Text-to-image person re-identification via collaborating pre-trained diffusion and discriminative models
Constructing infinite deep neural networks with flexible expressiveness while training
The design of a real-time neurocomputer based on RBF networks
Adaptively weighted sub-pattern PCA for face recognition
Event-triggered output feedback synchronization control of complex dynamical networks
Emulation of chemical stimulus triggered head movement in the C. elegans nematode
Joint segmentation of multivariate time series with hidden process regression for human activity recognition
Kernel discriminant analysis based feature selection
V-Proportion: A method based on the Voronoi diagram to study spatial relations in neuronal mosaics of the retina
Delay-range-dependent robust H ∞ control for uncertain systems with interval time-varying delays
Dynamic-unit discrete hopfield neural network with supervised preprocessing phase: Optimizing the logic mining using S-type random 2 satisfiability for classification
Logics based on qualitative descriptors for scene understanding
Dynamic Channel Token Vision Transformer with linear computation complexity and multi-scale features
Neural-adaptive specified-time constrained consensus tracking control of high-order nonlinear multi-agent systems with unknown control directions and actuator faults
Saliency detection using hierarchical manifold learning
Efficiency advantage actor-critic reinforcement learning control for an unmanned surface vehicle with unknown uncertainties
Discriminant projection embedding for face and palmprint recognition
Global attracting set for non-autonomous neutral type neural networks with distributed delays
Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications
A study on effectiveness of extreme learning machine
Incomplete multi-view learning via half-quadratic minimization
Fault tolerant machine learning for nanoscale cognitive radio
Fine-grained multi-modal prompt learning for vision-language models
Text-centric disentangled representation interaction network for Multimodal Sentiment Analysis
Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)
Asymptotic boundedness for stochastic coupled systems on networks with Markovian switching
On integrated lateral and longitudinal control of brain-controlled vehicles
Hierarchical feature selection based on neighborhood interclass spacing from fine to coarse
Multi-kernel Gaussian process latent variable regression model for high-dimensional sequential data modeling
A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons
Support vector machines experts for time series forecasting
Multi-target FIR tracking algorithm for Markov jump linear systems based on true-target decision-making
Meta-learning recommendation of default size of classifier pool for META-DES
Silicone mask face anti-spoofing detection based on visual saliency and facial motion
BERT-DXLMA: Enhanced representation learning and generalization model for english text classification
Cloth invariant gait recognition using pooled segmented statistical features
Crafting universal adversarial perturbations with output vectors
DRM-SLAM: Towards dense reconstruction of monocular SLAM with scene depth fusion
Sparse semi-supervised support vector machines by DC programming and DCA
Successive model-agnostic meta-learning for few-shot fault time series prognosis
Robust principal component analysis with intra-block correlation
Sparse semantic map building and relocalization for UGV using 3D point clouds in outdoor environments
Decoding motor imagery hand direction in brain computer interface from direction-dependent modulation of parietal connectivity using a new brain functional connectivity measure
Unsupervised person Re-identification: A review of recent works
A new framework to combine vertical and horizontal information for face recognition
Electrosensory response mechanisms in mormyrid electric fish
Neuronal normalization provides effective learning through ineffective synaptic learning rules
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs
Facial action units guided graph representation learning for multimodal depression detection
Stereoscopic video quality assessment based on 3D convolutional neural networks
Dual residual attention module network for single image super resolution