yusuke1997/dblp-id-title huggingface dataset:
A survey of moving object detection methods: A practical perspective
Multiple task learning with flexible structure regularization
Diagonal rotor Hopfield neural networks
PaintDiffusion: Towards text-driven painting variation via collaborative diffusion guidance
k-Cliques mining in dynamic social networks based on triadic formal concept analysis
MDVL-Edit: Mask-assisted highly disentangled text-driven face image editing based on vision-language alignment
Global exponential stability analysis of neural networks with a time-varying delay via some state-dependent zero equations
Privacy preservation network with global-aware focal loss for Interactive Personal Visual Privacy Preservation
Long-tailed visual recognition with deep models: A methodological survey and evaluation
Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications
Consensus of nonlinear second-order multi-agent systems with mixed time-delays and intermittent communications
Reading scene text with fully convolutional sequence modeling
Stability of non-autonomous bidirectional associative memory neural networks with delay
UCC: A unified cascade compression framework for vision transformer models
An adaptive ensemble of on-line Extreme Learning Machines with variable forgetting factor for dynamic system prediction
A multi-view GNN-based network representation learning framework for recommendation systems
Nonlinear principal component analysis to preserve the order of principal components
Iterative learning based consensus control for distributed parameter multi-agent systems with time-delay
A behavior controller based on spiking neural networks for mobile robots
Discriminative extraction of features from time series
TLSAN: Time-aware long- and short-term attention network for next-item recommendation
Sparse Robust Filters for scene classification of Synthetic Aperture Radar (SAR) images
Single image super resolution based on multiscale local similarity and neighbor embedding
Impulsive effect on the delayed Cohen-Grossberg-type BAM neural networks
Multi-attribute balanced dataset generation framework AutoSyn and KinFace Channel-Spatial Feature Extractor for kinship recognition
Improved criteria of delay-dependent stability for discrete-time neural networks with leakage delay
FRIH: Fully reversible image hiding by invertible network
Fully complex extreme learning machine
Area-efficient differential Gaussian circuit for dedicated hardware implementations of Gaussian function based machine learning algorithms
Robust deep auto-encoding Gaussian process regression for unsupervised anomaly detection
Practical anonymity models on protecting private weighted graphs
Selective attention in visual search: A neural network of phase oscillators
Dynamic attention aggregated missing spatial-temporal data imputation for traffic speed prediction
Damped sliding based mining of average utility-driven sequential patterns over uncertain data streams
Questionnaires-based skin attribute prediction using Elman neural network
Bearing feature extraction using multi-structure locally linear embedding
Scene image retrieval via re-ranking semantic and packed dense interestpoints
Stability and synchronization of random brain networks with a distribution of connection strengths
Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms
Fault diagnosis for the gas-path system of an engine test bed based on multi-modal signals
Feature selection using multimodal optimization techniques
Mean square exponential stability of uncertain stochastic neural networks with time-varying delay
Simulation-based evaluation of model-free reinforcement learning algorithms for quadcopter attitude control and trajectory tracking
Curriculum learning-driven PIELMs for fluid flow simulations
Classification approach based on non-negative least squares
Controlling deterministic output variability in a feature extracting chaotic BAM
Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities
Adaptive grid-based forest-like clustering algorithm
Global priors guided modulation network for joint super-resolution and SDRTV-to-HDRTV
Photograph aesthetical evaluation and classification with deep convolutional neural networks
Multi-modal 3D multi-object tracking with robust association and track drift compensation
A short text sentiment-topic model for product reviews
Activity recognition and anomaly detection in smart homes
Feature selection algorithm based on bare bones particle swarm optimization
Transformer with peak suppression and knowledge guidance for fine-grained image recognition
Investigating latent representations and generalization in deep neural networks for tabular data
MAD-DGTD: Multivariate time series Anomaly Detection based on Dynamic Graph structure learning with Time Delay
A class of binary images thinning using two PCNNs
A novel 2D contactless fingerprint matching method
Difference-guided multiscale graph convolution network for unsupervised change detection in PolSAR images
On exploring pose estimation as an auxiliary learning task for Visible-Infrared Person Re-identification
FCAnet: A novel feature fusion approach to EEG emotion recognition based on cross-attention networks
Fully distributed event-triggered pinning group consensus control for heterogeneous multi-agent systems with cooperative-competitive interaction strength
Exponential state estimation for recurrent neural networks with distributed delays
Patch-DFD: Patch-based end-to-end DeepFake discriminator
Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions
Search to integrate multi-level heuristics with graph neural networks for multi-relational link prediction
The contribution of context information: A case study of object recognition in an intelligent car
Predicting stock market trends with self-supervised learning
ModMRF: A modularity-based Markov Random Field method for community detection
An integral sliding mode control approach to observer-based stabilization of stochastic Itô descriptor systems
Inhibitory control of spike timing precision
Event representation via contrastive learning with prototype based hard negative sampling
Robust stability for uncertain stochastic neural network with delay and impulses
Control design for Itô stochastic interval type-2 models with time-varying delays
Dynamics of solution for a class of delayed diffusive neural networks with mixed boundary conditions
Adaptive multiple kernel fusion model using spatial-statistical information for high resolution SAR image classification
Single-shot bidirectional pyramid networks for high-quality object detection
Deeply supervised full convolution network for HEp-2 specimen image segmentation
UCMH: Unpaired cross-modal hashing with matrix factorization
A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation
Synchronization control for arrays of coupled discrete-time delayed Cohen-Grossberg neural networks
Training neural networks by stochastic optimisation
Isotree: Tree clustering via metric embedding
Nonparametric Topic Modeling with Neural Inference
A fault diagnosis method for wind turbines with limited labeled data based on balanced joint adaptive network
Systematic evaluation of deep face recognition methods
Alignment and stability of embeddings: Measurement and inference improvement
FREE-Net: A dual-modality emotion recognition network for fusing raw and enhanced data
Mini-max initialization for function approximation
Semi-random subspace method for writeprint identification
From the idea of "sparse representation" to a representation-based transformation method for feature extraction
Privacy-preserving representation learning for big data
SDENK: Unbiased subspace density-k-clustering
Fast terrain mapping from low altitude digital imagery
3D-SSD: Learning hierarchical features from RGB-D images for amodal 3D object detection
Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs
TNAM: A tag-aware neural attention model for Top-N recommendation
A comprehensive qualitative and quantitative survey on image dehazing based on deep neural networks
Self-organizing hypercomplex-valued adaptive network
Training deep neural networks for wireless sensor networks using loosely and weakly labeled images
Reliable probabilistic classification with neural networks
Facial expressions recognition with multi-region divided attention networks for smart education cloud applications
Modelling adaptation aftereffects in associative memory
Efficient person search via learning-to-normalize deep representation
Saliency-guided contrastive pretraining and attention-enhanced decoding for semi-supervised diabetic retinopathy lesion segmentation
Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier
Optimization techniques for the design of a neural predictive controller
An approach to blind source separation based on temporal structure of speech signals
Recognition of coloured and textured images through a multi-scale neural architecture with orientational filtering and chromatic diffusion
Fuzzy adaptive tracking control for switched nonlinear systems with full time-varying state constraints
Implications of resource limitations for a conscious machine
Progressive anatomically constrained deep neural network for 3D deformable medical image registration
Adaptive learning control of robot manipulators via incremental hybrid neural network
Mean square exponential stability for discrete-time stochastic fuzzy neural networks with mixed time-varying delay
Integer undirected graphical models for resource-constrained systems
Nonlinear system identification using a Bayesian-Gaussian neural network for predictive control
An evolutionary approach to the dynamical reconfiguration of photovoltaic fields
Adaptive neural network tracking control for a class of switched nonlinear systems with input delay
A hierarchical latent topic model based on sparse coding
Cortical synfire-activity: Configuration space and survival probability
Physics-informed causal learning network for fault diagnosis of rotating machinery under unseen operating conditions
A novel ensemble of classifiers for protein fold recognition
Extreme learning machine for time sequence classification
Learning the first-order spanning tree to balance data fitting and classification performance
SRGCN: Graph-based multi-hop reasoning on knowledge graphs
RagNet3D: Learning distinguishable representation for pooled grids in 3D object detection
SiameseDuo++: Active learning from data streams with dual augmented siamese networks
Hierarchical feature representation for unconstrained video analysis
A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise
Neural network design and model reduction approach for black box nonlinear system identification with reduced number of parameters
FETR: Feature Transformer for vehicle-infrastructure cooperative 3D object detection
Reconstructibility of singular Boolean control networks via automata approach
Diversity Regularized Latent Semantic Match for Hashing
Data augmentation guided knowledge distillation for environmental sound classification
Large-scale multi-view subspace clustering via embedding space and partition matrix
Advancing few-shot rolling element bearing diagnostics with fine-grained similarity learning across variable working environments
Interpretable modelling and visualization of biomedical data
Multi-View topology assisted dynamic graph learning for fMRI-based Alzheimer's disease identification
Synchronization control for delayed neural networks under round-robin protocol and input saturations
Time series prediction with granular neural networks
HHGNN: Hyperbolic Hypergraph Convolutional Neural Network based on variational autoencoder
ConDNS: A novel conditional diffusion-based negative sampling method for knowledge graph embedding
A motion blur QR code identification algorithm based on feature extracting and improved adaptive thresholding
A reinforcement learning based neural network architecture for obstacle avoidance in multi-fingered grasp synthesis
Quantified symmetry for entorhinal spatial maps
Three cell symmetry discrete-time-delayed neural network
Semantic-guided complementary fusion network for salient object detection
Motor imagery EEG signals analysis based on Bayesian network with Gaussian distribution
A search engine based on neural correlation matrix memories
Model selection for RBF network via generalized degree of freedom
Adaptation using local information for maximizing the global cost
Product promotion copywriting from multimodal data: New benchmark and model
Rate versus time representation of high-frequency spectral notches in the peripheral auditory system: A computational modeling study
A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation
Application of artificial neural network in the diagnostic system of osteoporosis
MPS-Net: Learning to recover surface normal for multispectral photometric stereo
Subspace Learning
Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks
Prescribed-time containment control based on distributed observer for multi-agent systems
Deep self-taught learning for facial beauty prediction
CAT: Continual Adapter Tuning for aspect sentiment classification
Hybrid dynamic classifier for drift-like fault diagnosis in a class of hybrid dynamic systems: Application to wind turbine converters
Nonlinear systems identification using dynamic multi-time scale neural networks
Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks
A consistency-aware deep capsule network for hierarchical multi-label image classification
Meta-heuristic Bayesian networks retrieval combined polarization corrected temperature and scattering index for precipitations
A systematic exploration of the associations between amino acid variants and post-translational modifications
Large-margin nearest neighbor classifiers via sample weight learning
Multi-modal entity alignment in hyperbolic space
Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control
A non-extensive entropy feature and its application to texture classification
Elite opposition-based flower pollination algorithm
Multi-label learning with multi-label smoothing regularization for vehicle re-identification
PR-ELM: Parallel regularized extreme learning machine based on cluster
Zero-shot text classification with knowledge resources under label-fully-unseen setting
Improved results on sampled-data synchronization of Markovian coupled neural networks with mode delays
Novel architecture for long short-term memory used in question classification
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains
A comprehensive review on the application of artificial neural networks in building energy analysis
Wavelet spectra of visual evoked potentials: Time course of delta, theta, alpha and beta bands
Extended dissipative memory sampled-data synchronization control of complex networks with communication delays
Linear manifolds analysis: theory and algorithm
Face recognition using Weber local descriptors
Neural systems integration
A new heterogeneous neural network model and its application in image enhancement
Prosody modeling for syllable based text-to-speech synthesis using feedforward neural networks
Retinotopic coding and neural grouping in tilt illusion
Attention, intention and salience in the posterior parietal cortex
Student behavior detection model based on multilevel residual networks and hybrid attention mechanisms
Weighted Lagrange ε-twin support vector regression
Reweighting and information-guidance networks for Few-Shot Learning
Hashing-based affinity matrix for dominant set clustering
Stability analysis of Riemann-Liouville fractional-order neural networks with reaction-diffusion terms and mixed time-varying delays
Computational framework for behavioural modelling of neural subsystems
Differences in social approach in two inbred strains of mice
Lp- and risk consistency of localized SVMs
Privacy-preserving and verifiable deep learning inference based on secret sharing
A conservative feature subset selection algorithm with missing data
Advanced intelligent monitoring technologies for animals: A survey
On the shortcut learning in multilingual neural machine translation
Estimator-based iterative deviation-free residual generator for fault detection under random access protocol
Finite-time synchronization for competitive neural networks with mixed delays and non-identical perturbations
Robust learning algorithm based on LTA estimator
Quadratic graph attention network (Q-GAT) for robust construction of gene regulatory network
Contextual relation embedding and interpretable triplet capsule for inductive relation prediction
Approximate k-NN delta test minimization method using genetic algorithms: Application to time series
Physics-informed spiking neural networks for continuous-time dynamic systems
Concrete crack segmentation based on UAV-enabled edge computing
Pruning an ensemble of classifiers via reinforcement learning
Personalized robotic control via constrained multi-objective reinforcement learning
Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments
Fault detection for interval type-2 fuzzy systems with sensor nonlinearities
Multivariate time series clustering based on common principal component analysis
Multiagent-based deep reinforcement learning framework for multi-asset adaptive trading and portfolio management
Pose guided structured region ensemble network for cascaded hand pose estimation
Effective search for genetic-based machine learning systems via estimation of distribution algorithms and embedded feature reduction techniques
Particle size estimate of grinding processes using random vector functional link networks with improved robustness
Cost-sensitive learning with modified Stein loss function
Keywords-aware dynamic graph neural network for multi-hop reading comprehension
Burst firing improves the detection of weak signals in spike trains
Scene classification using multi-resolution low-level feature combination
Event-triggered optimal decentralized control for stochastic interconnected nonlinear systems via adaptive dynamic programming
Convergence theorems for a class of learning algorithms with VLRPs
New asymptotic stability analysis for generalized neural networks with additive time-varying delays and general activation function
TrajVAE: A Variational AutoEncoder model for trajectory generation
DeepPAT: Deep position-aware transformer with mixed dataset for robust point cloud registration
MDGAD: Meta domain generalization for distribution drift in anomaly detection
One-dimension hierarchical local receptive fields based extreme learning machine for radar target HRRP recognition
Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with both leakage and time-varying delays
Applications of the growing self-organizing map
Training and making calculations with mixed order hyper-networks
Observer-based l 2 - l ∞ control for discrete-time nonhomogeneous Markov jump Lur'e systems with sensor saturations
Three-step general discrete-time Zhang neural network design and application to time-variant matrix inversion
Combining clustering and active learning for the detection and learning of new image classes
Histogram of Radon transform with angle correlation matrix for distortion invariant shape descriptor
Deductive rules in holographic reduced representation
Extreme Learning Machine for large-scale graph classification based on MapReduce
Training neural networks end-to-end for hyperbox-based classification
Adaptive and azimuth-aware fusion network of multimodal local features for 3D object detection
A mixed-kernel, variable-dimension memristive CNN for electronic nose recognition
The linear neighborhood propagation method for predicting long non-coding RNA-protein interactions
Contrastive predictive coding with transformer for video representation learning
Supervised dictionary-based transfer subspace learning and applications for fault diagnosis of sucker rod pumping systems
Multi-branch convolutional neural network for built-up area extraction from remote sensing image
Multi-view embedded clustering with unsupervised trace ratio LDA
Graph classification using high-difference-frequency subgraph embedding
Dominant orientation patch matching for HMAX
Collaborative filtering with interlaced generalized linear models
Disturbance-observer based consensus of linear multi-agent systems with exogenous disturbance under intermittent communication
Semi-supervised learning of hidden conditional random fields for time-series classification
Enhancing document-level translation of large language model via translation mixed instructions
A fast maximum likelihood nonlinear feature transformation method for GMM-HMM speaker adaptation
Solving classification problems by knowledge sets
RBF nets, mixture experts, and Bayesian Ying-Yang learning
Clustering and retrieval of video shots based on natural stimulus fMRI
Symbolic analysis of bursting dynamical regimes of Rulkov neural networks
Neural network-based fully actuated trajectory tracking control for space manipulator with system uncertainties
Interactive social group recommendation for Flickr photos
TensorD: A tensor decomposition library in TensorFlow
A robust scheme for copy detection of 3D object point clouds
Least squares kernel ensemble regression in Reproducing Kernel Hilbert Space
On artefactual spike train cross-correlations
Modulating function-based identification for fractional order systems
NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection
Linear optimal filtering for time-delay networked systems subject to missing measurements with individual occurrence probability
Parallel keyed hash function construction based on chaotic neural network
Dynamic visual selective attention model
Neural-networks-based nonlinear dynamic modeling for automotive eng
Spectrum-guided Spatial Feature Enhancement Network for event-based lip-reading
PRISM: Deep metric learning based personal grouping method to reduce intersubject variability for motor imagery brain-computer interface
A novel generalization of the natural residual function and a neural network approach for the NCP
Model-based explanations of concept drift
Observer-based adaptive neural network force tracking control for pneumatic polishing system end-effector with actuator saturation
Indirect adaptive control of multi-input-multi-output nonlinear singularly perturbed systems with model uncertainties
A secure-coding and vulnerability check system based on smart-fuzzing and exploit
Rotation invariant iris feature extraction using Gaussian Markov random fields with non-separable wavelet
Robust image recognition by L1-norm twin-projection support vector machine
Video intra prediction using convolutional encoder decoder network
Multi-weight susceptible-infected model for predicting COVID-19 in China
Integrating knowledge-based sparse representation for image detection
Underdetermined blind separation of source using lp-norm diversity measures
On using derivatives and multiple kernel methods for clustering and classifying functional data
ISGM-Fus: Internal structure-guided model for multispectral and hyperspectral image fusion
Finite/fixed-time synchronization of delayed memristive reaction-diffusion neural networks
A neural architecture search based framework for liquid state machine design
Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh - A Python package)