yusuke1997/dblp-id-title huggingface dataset:
Hierarchical frame based spatial-temporal recovery for video compressive sensing coding
Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm
Generalized N-dimensional independent component analysis and its application to multiple feature selection and fusion for image classification
Towards more effective PRM-based crowd counting via a multi-resolution fusion and attention network
New one-versus-all v-SVM solving intra-inter class imbalance with extended manifold regularization and localized relative maximum margin
A semi-supervised online sequential extreme learning machine method
Learning environmental clues in the KIV model of the cortico-hippocampal formation
Memristive autapse involving magnetic coupling and excitatory autapse enhance firing
Salient region detection via locally smoothed label propagation: With application to attention driven image abstraction
Decoding visual input from V1 neuronal activity with particle filtering
A multi-relational term scheme for first story detection
Finite-time formation-containment tracking for second-order multi-agent systems with a virtual leader of fully unknown input
Deep hybrid neural-kernel networks using random Fourier features
Passivity analysis for discrete-time neural networks with mixed time-delays and randomly occurring quantization effects
A local-nonlocal mathematical morphology
Neural network-based adaptive output feedback fault-tolerant control for nonlinear systems with prescribed performance
Piecewise Physics-Constrained Neural Networks for solving second-order impulsive differential equations
A systematic review of deep transfer learning for machinery fault diagnosis
Non-unique decision differential entropy-based feature selection
Practical multi-party private collaborative k-means clustering
Laplacian p-norm proximal support vector machine for semi-supervised classification
Use of image processing to monitor tool wear in micro milling
Adaptive fuzzy vector control for a doubly-fed induction motor
Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning
Output feedback Q-learning for discrete-time finite-horizon zero-sum games with application to the H∞ control
Predefined-time convergent neural networks for solving the time-varying nonsingular multi-linear tensor equations
Pose-independent efficient gauge equivariant network for 3D mesh aneurysm segmentation
Event causality extraction based on connectives analysis
Dynamics of the light-induced current in Hermissenda
A realistic dynamic facial expression transfer method
Detection of physical stress using multispectral imaging
Unsupervised feature selection via Diversity-induced Self-representation
Non-fragile extended dissipative synchronization of Markov jump inertial neural networks: An event-triggered control strategy
A combined measure for quantifying and qualifying the topology preservation of growing self-organizing maps
A novel metric learning framework by exploiting global and local information
The roles of internal dynamics and proprioceptive feedback in motor cortex during movement execution
Fast centralized integer resource allocation algorithm and its distributed extension over digraphs
Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints
Learning allocentric representations of space for navigation
Robust fuzzy RBF network based image segmentation and intelligent decision making system for carotid artery ultrasound images
Gait recognition across different walking speeds via deterministic learning
Learning under weight constraints in networks of temporal encoding spiking neurons
PiMAN: A Physics-informed Motion Prediction Network using sEMG signal features for human movement parameters
Exploring local discriminative information from evolutionary profiles for cytokine-receptor interaction prediction
A novel extreme learning fault diagnosis based supervision applied to mathematical formula contrastive analysis
Trace Ratio Criterion based Discriminative Feature Selection via l 2, p -norm regularization for supervised learning
Analysis and adaptive control for lag H∞ synchronization of coupled reaction-diffusion neural networks
Zero-sum game-based neuro-optimal control of modular robot manipulators with uncertain disturbance using critic only policy iteration
Delay-dependent robust stability for Hopfield neural networks of neutral-type
A novel versatile window function for memristor model with application in spiking neural network
Subspace learning-based dimensionality reduction in building recognition
RM-BGNN: A weakly informative Bayesian graph neural network based on residual mechanism
Combining long and short spatiotemporal reasoning for deep reinforcement learning
Blind video quality assessment based on Spatio-Temporal Feature Resolver
A visual persistence model for image captioning
Adaptive orthogonal gradient descent algorithm for fully complex-valued neural networks
A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis
Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy
Recognizing tactile surface roughness with a biomimetic fingertip: A soft neuromorphic approach
Data multiplexed and hardware reused architecture for deep neural network accelerator
A multiobjective optimization-based sparse extreme learning machine algorithm
3D face reconstruction from mugshots: Application to arbitrary view face recognition
Decoupled contrastive learning for multilingual multimodal medical pre-trained model
Estimation of voltage stability index for power system employing artificial neural network technique and TCSC placement
A microscopic nervecell analysis theory for elucidating membrane potential dynamics using boundary element method
Lur'e Postnikov Lyapunov functional technique to global Mittag-Leffler stability of fractional-order neural networks with piecewise constant argument
Quality of classification explanations with PRBF
A novel memristive Hopfield neural network with application in associative memory
Cross-layer secure transmission schemes for social internet of things: Overview, opportunities and challenges
Exponential stability for stochastic Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays
Searching for the interplay between neuroscience and computation
Structural relational inference actor-critic for multi-agent reinforcement learning
Stacked Wasserstein Autoencoder
Stability analysis of fractional-order Hopfield neural networks with discontinuous activation functions
Framelet regularization for uneven intensity correction of color images with illumination and reflectance estimation
Robust convolution kernel quantity determination based on corner radiation area adaptation
Dynamic spatio-temporal graph convolutional networks with multi-scale dilated fusion attention for human motion prediction
Fixed-time stability analysis of general impulsive systems and application to synchronization of complex networks with hybrid impulses
Unveiling distinguishing properties of adversarial examples through neural tangent kernels
Crowd counting with crowd attention convolutional neural network
High discharge variability in neurons driven by current noise
Synchronization stability in complex interconnected neural networks with nonsymmetric coupling
Improving invariance in visual classification with biologically inspired mechanism
Generating exponentially stable states for a Hopfield Neural Network
Bases sorting: Generalizing the concept of frequency for over-complete dictionaries
State estimation for neural networks with multiple time delays
Deep domain adaptation via joint transfer networks
Improving few-shot named entity recognition via Semantics induced Optimal Transport
Resilient finite-time stabilization of fuzzy stochastic systems with randomly occurring uncertainties and randomly occurring gain fluctuations
Dynamic extreme learning machine for data stream classification
Relative density based support vector machine
Spatial relationship representation for visual object searching
Mathematical improvement of the Hopfield model for TSP feasible solutions by synapse dynamical systems
A lightweight semantic decoding network with group to individual transfer learning for EEG-based visual recognition
An integrated Gaussian mixture model to estimate vigilance level based on EEG recordings
AELA-DLSTMs: Attention-Enabled and Location-Aware Double LSTMs for aspect-level sentiment classification
Deep neural networks-based real-time optimal navigation for an automatic guided vehicle with static and dynamic obstacles
Orthogonal component analysis: A fast dimensionality reduction algorithm
Generalized plaid models
Scene perception guided crowd anomaly detection
A self-supervised facial expression restoration and recognition method based on improved masked auto-encoder
Advances on stability analysis for discrete-time Markovian jump impulsive stochastic systems with hybrid switching dynamics
Multi-label text classification via joint learning from label embedding and label correlation
Adaptive projective lag synchronization of uncertain complex dynamical networks with disturbance
The NetCover algorithm for the reconstruction of causal networks
Observer-based fault detection for T-S fuzzy systems subject to measurement outliers
Camouflage texture design based on its camouflage performance evaluation
Theoretical and numerical analysis of learning dynamics near singularity in multilayer perceptrons
Hierarchical modular Bayesian networks for low-power context-aware smartphone
Smote-variants: A python implementation of 85 minority oversampling techniques
Selection of genes mediating certain cancers, using a neuro-fuzzy approach
Leader-follower consensus for multi-agent systems with three-layer network framework and dynamic interaction jointly connected topology
Robust human body segmentation based on part appearance and spatial constraint
Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding
Characterizing in vitro hippocampal ripples using time-frequency analysis
PVFT-Net: A point-voxel fusion method for self-supervised scene flow estimation with transformer
Image esthetic assessment using both hand-crafting and semantic features
A sharing multi-view feature selection method via Alternating Direction Method of Multipliers
Quality-aware pattern diffusion for video object segmentation
A neural network approach to audio-assisted movie dialogue detection
Enhancing semi-supervised learning through label-aware base kernels
Stability analysis for delayed neural networks based on the augmented Lyapunov-Krasovskii functional with delay-product-type and multiple integral terms
Forecasting exchange rate using deep belief networks and conjugate gradient method
Expectation-Maximization approaches to independent component analysis
Two modified Artificial Bee Colony algorithms inspired by Grenade Explosion Method
Hybrid-triggered and fault-tolerant observer-based control for neural networks under malicious attacks
Enhanced sequence labeling based on latent variable conditional random fields
Multi-task learning with one-class SVM
Re-KISSME: A robust resampling scheme for distance metric learning in the presence of label noise
Consensus of first-order multi-agent systems with intermittent interaction
An eigen decomposition based rank parameter selection approach for the NRSFM algorithm
Online optimal control of unknown discrete-time nonlinear systems by using time-based adaptive dynamic programming
Safe reinforcement learning for discrete-time nonlinear zero-sum games with unknown state constraints and asymmetric input constraints
Deep embedding clustering based on contractive autoencoder
DE 2 : Dynamic ensemble of ensembles for learning nonstationary data
Source-free domain adaptation framework based on confidence constrained mean teacher for fundus image segmentation
A new approach to non-fragile state estimation for continuous neural networks with time-delays
Topographical mapping forms of objects into gaussian elastic net
A clustering algorithm for radial basis function neural network initialization
Hardware-based spiking neural network architecture using simplified backpropagation algorithm and homeostasis functionality
Deep key frame extraction for sport training
Robust discriminative non-negative matrix factorization
Designing non-linear minimax and related discriminants by disjoint tangent configurations applied to RBF networks
Modified alternating direction method of multipliers for convex quadratic semidefinite programming
Noncooperative bovine iris recognition via SIFT
Neural networks and M5 model trees in modelling water level-discharge relationship
Optimizing social image search with multiple criteria: Relevance, diversity, and typicality
Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems
An ultra-compact and high-speed FFT-based large-integer multiplier for fully homomorphic encryption using a dual spike-based arithmetic circuit over GF(p)
Global exponential stability in Lagrange sense for periodic neural networks with various activation functions
ARSAC: Efficient model estimation via adaptively ranked sample consensus
Image multi-thresholding by combining the lattice Boltzmann model and a localized level set algorithm
Active learning for protein function prediction in protein-protein interaction networks
A neural network approach to simultaneous state and actuator fault estimation under unknown input decoupling
APPN: An Attention-based Pseudo-label Propagation Network for few-shot learning with noisy labels
Aspect-level sentiment analysis using context and aspect memory network
Skill based robot programming: Assembly, vision and Workspace Monitoring skill interaction
Mutually exclusive-KSVD: Learning a discriminative dictionary for hyperspectral image classification
Similarity-guided interaction and mismatched feature emphasis network for text-to-image person re-identification
A new method in determining initial weights of feedforward neural networks for training enhancement
Improving robustness with image filtering
The kinetics of the IPSC, the heterogeneity and the noise affect the firing coherence of a population of inhibitory interneurons
Single-image de-raining using joint filter and multi-scale deep alternate-connection dense network
A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization
Deep transfer learning-based gaze tracking for behavioral activity recognition
Three-layer concept drifting detection in text data streams
UniASM: Binary code similarity detection without fine-tuning
An attention-weighted Bayesian network learning approach for categorical representation of mixed data
Reducing hubness to improve inductive few-shot learning
Use of weighting functions for focusing of learning in artificial neural networks
A mixture of views network with applications to multi-view medical imaging
Divide-and-conquer based large-scale spectral clustering
Community detection based on local topological information and its application in power grid
Three-parameter sequential minimal optimization for support vector machines
Simultaneous learning and control of parallel Stewart platforms with unknown parameters
Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search
DANet: A spatio-temporal dynamics and Detail Aware Network for video prediction
Localization of radiance transformation for image dehazing in wavelet domain
A comprehensive review of extreme learning machine on medical imaging
Using a bank of binary Hopfield networks as constraints solver in hybrid algorithms
Multiple strategies to enhance automatic 3D facial expression recognition
Cross-material stress-strain prediction: A Seq2Seq transfer approach with small punch data
VLSG-net: Vision-Language Scene Graphs network for Paragraph Video Captioning
New delay-dependent stability criteria for neutral-type neural networks with mixed random time-varying delays
Verification and predicting temperature and humidity in a solar greenhouse based on convex bidirectional extreme learning machine algorithm
Advanced learning for large-scale heterogeneous computing
A new sampling method in particle filter based on Pearson correlation coefficient
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction
Encoder combined video moving object detection
BDMUIE: Underwater image enhancement based on Bayesian diffusion model
SSRI-Net: Subthreads Stance-Rumor Interaction Network for rumor verification
Laplacian twin parametric-margin support vector machine for semi-supervised classification
Revolutionizing graph classification generalization with an adaptive causality-enhanced framework
Protein secondary structure prediction using DWKF based on SVR-NSGAII
MFENet: Multi-level feature enhancement network for real-time semantic segmentation
Higher-order potentials for video object segmentation in bilateral space
FCMNet: Frequency-aware cross-modality attention networks for RGB-D salient object detection
Two-phase mapping hashing
Sparse learning of band power features with genetic channel selection for effective classification of EEG signals
Multiple convolutional layers fusion framework for hyperspectral image classification
Multi-scale multi-patch person re-identification with exclusivity regularized softmax
Correcting the distribution of batch normalization signals for Trojan mitigation
A visible-infrared clothes-changing dataset for person re-identification in natural scene
Numerical optimization and experimental research on listening environment of crew based on neural networks
Group consensus of the first-order multi-agent systems with nonlinear input constraints
Analyzing the robustness of redundant population codes in sensory and feature extraction systems
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines
Multimodal data fusion for SB-JPALS status prediction under antenna motion fault mode
Neural-network-based decentralized output-feedback control for nonlinear large-scale delayed systems with unknown dead-zones and virtual control coefficients
Mitigating gradient conflicts via expert squads in multi-task learning
Iterative algorithm of wavelet network learning from nonuniform data
Obtaining optimal quality measures for quantitative association rules
Multi-modal local receptive field extreme learning machine for object recognition
A novel stochastic search method for polygonal approximation problem
A fast training algorithm for extreme learning machine based on matrix decomposition
Point Encoder GAN: A deep learning model for 3D point cloud inpainting
A unified semi-supervised dimensionality reduction framework for manifold learning
A new approach to stability analysis of discrete-time recurrent neural networks with time-varying delay
Imitation learning and interactive game-based prediction-decision planning
Influence of the neural network topology on the learning dynamics
Global finite-time heading control of surface vehicles
An adaptive Kalman filter estimating process noise covariance
Domain adaptation with feature and label adversarial networks
Adaptive neural tracking control for a class of switched uncertain nonlinear systems
Fusion of feature selection methods for pairwise scoring SVM
B-spline backstepping control with derivative matrix estimation and its applications
Analysis of dendritic distribution of voltage-dependent channels effects on EPSP and its reciprocal inhibition in alpha-motoneurons: computer model
Fast training of neural trees by adaptive splitting based on cubature
Bert-QAnet: BERT-encoded hierarchical question-answer cross-attention network for duplicate question detection
Exploiting Vector Attention and Context Prior for Ultrasound Image Segmentation
Image retrieval using spatiograms of colors quantized by Gaussian Mixture Models
Kernel based online learning for imbalance multiclass classification
Learning discriminative shape statistics distribution features for pedestrian detection
Adversarial contrastive representation training with external knowledge injection for zero-shot stance detection
A meta-reinforcement learning method for adaptive payload transportation with variations
Modeling interaction in multi-resident activities
Is your phone so smart to affect your state? An exploratory study based on psychophysiological measures
Active learning via query synthesis and nearest neighbour search
Consensus analysis of directed multi-agent networks with singular configurations
NFI-SGAT: Node feature initialization-based streaming graph learning model with graph attention network for critical node identification in temporal networks
Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation
Large margin classifiers based on affine hulls
An efficient feature selection method for mobile devices with application to activity recognition
Multispectral image classification based on improved weighted MRF Bayesian
A class of stochastic Hopfield neural networks with expectations in coefficients
Bifurcation analysis in a delayed fractional neural network involving self-connection
Fuzzy controller for dynamic performance improvement of a half-bridge isolated DC-DC converter
Modeling nuclear reactor core dynamics with recurrent neural networks
A novel locally regularized automatic construction method for RBF neural models
A weakly supervised salient object detection framework based on structured scribble
A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models
Relating ensemble diversity and performance: A study in class noise detection
Image binarization focusing on objects
Multi-view spectral clustering via sparse graph learning
New LMI conditions for delay-dependent asymptotic stability of delayed Hopfield neural networks
S2TCR : Cross complementary semantics and structure architectures within complex glyph shapes for scene traditional Chinese recognition
Unsupervised visual similarity-based medical image retrieval via dual-encoder and metric learning
Detector-tracker integration framework and attention mechanism for multi-object tracking
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency
Unsupervised deep quantization for object instance search
Efficient block contrastive learning via parameter-free meta-node approximation
Bayesian active learning with abstention feedbacks
Event-triggered control for projective synchronization fractional-order switched coupled neural networks with higher-order interactions
Self-attention guided representation learning for image-text matching
Unveiling SAR target recognition networks: Adaptive Perturbation Interpretation for enhanced understanding
A distributed meta-learning system for Chinese entity relation extraction
Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications
Disentangled features with direct sum decomposition for zero shot learning
Jointly sparse neighborhood graph for multi-view manifold clustering
On model identifiability in analytic postnonlinear ICA
Grey-informed neural network for time-series forecasting
The bridge relating process neural networks and traditional neural networks
An efficient neurodynamic model to solve nonlinear programming problems with fuzzy parameters
Deep contrastive variational subspace clustering
Extended adaptive event-triggered formation tracking control of a class of multi-agent systems with time-varying delay
Sequential Subspace Estimator for biometric authentication
An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms
Solving multi-objective weapon-target assignment considering reliability by improved MOEA/D-AM2M
Extending the bioinspired hierarchical temporal memory paradigm for sign language recognition