yusuke1997/dblp-id-title huggingface dataset:
fRAKI: k-space deep learning with offline data-universal and online scan-specific priors
Adaptive neural network control for a hydraulic knee exoskeleton with valve deadband and output constraint based on nonlinear disturbance observer
Optimizing reservoir connectivity: A path to high-performance liquid state machines
A 3D shape descriptor based on spherical harmonics through evolutionary optimization
A model of binocular rivalry based on competition in IT
Supervised feature extraction based on orthogonal discriminant projection
Exponential synchronization for delayed chaotic neural networks with nonlinear hybrid coupling
Integrated nonholonomic multi-robot consensus tracking formation using neural-network-optimized distributed model predictive control strategy
One step multi-view spectral clustering via joint adaptive graph learning and matrix factorization
FeatInter: Exploring fine-grained object features for video-text retrieval
Classification method for BCIs based on the correlation of EEG maps
A programmable spike-timing based circuit block for reconfigurable neuromorphic computing
Generating electrocardiogram signals by deep learning
Dynamic parallelism for synaptic updating in GPU-accelerated spiking neural network simulations
Lag stochastic synchronization of chaotic mixed time-delayed neural networks with uncertain parameters or perturbations
Fast fixed-/preassigned-time synchronization of Clifford-valued neural networks for medical image encryption
Melt index prediction using optimized least squares support vector machines based on hybrid particle swarm optimization algorithm
On identifying k-nearest neighbors in neighborhood models for efficient and effective collaborative filtering
Age-related differences in SSVEP-based BCI performance
Biological data mining with neural networks: implementation and application of a flexible decision tree extraction algorithm to genomic problem domains
Disentangling private classes through regularization
An advanced multi-matcher method for on-line signature verification featuring global features and tokenised random numbers
Extended feed forward neural networks with random weights for face recognition
Finite-time robust passive control for a class of uncertain Lipschitz nonlinear systems with time-delays
Multi-task deep convolutional neural network for cancer diagnosis
A multi-scale graph embedding method via multiple corpora
An adaptive detection/attention mechanism for real time robot operation
Cooperative density-aware representation learning for few-shot visual recognition
Integrating reinforcement learning and supervisory control theory for optimal directed control of discrete-event systems
State estimation for neural networks with mixed interval time-varying delays
Super-resolution using multi-channel merged convolutional network
Occluded offline handwritten Chinese character inpainting via generative adversarial network and self-attention mechanism
Bayesian Enhanced α-Expansion Move Clustering with Loose Link Constraints
Evolutionary system for automatically constructing and adapting radial basis function networks
Visual saliency estimation using constraints
Learning to detect anomaly events in crowd scenes from synthetic data
Oscillations enhance time-series prediction in reservoir computing with feedback
An image-based endmember bundle extraction algorithm using reconstruction error for hyperspectral imagery
Fair streaming feature selection
Impulsive effects on stability of high-order BAM neural networks with time delays
Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index
Wavelet based denoising integrated into multilayered perceptron
Bumpless transfer consensus control for linear multi-agent systems under agent-dependent switching directed topologies
Design of a hybrid adaptive CMAC with supervisory controller for a class of nonlinear system
New LMI-based conditions for global exponential stability to a class of Cohen-Grossberg BAM networks with delays
Prior information constrained alternating direction method of multipliers for longitudinal compressive sensing MR imaging
Degree aware based adversarial graph convolutional networks for entity alignment in heterogeneous knowledge graph
Disjunctive normal networks
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network
Texture dominated no-reference quality assessment for high resolution image by multi-scale mechanism
A varying-parameter complementary neural network for multi-robot tracking and formation via model predictive control
A non-deteriorating approach to improve Natural Language Understanding in Conversational Agents
A graph attention network utilizing multi-granular information for emotion-cause pair extraction
Deep learning on spatiotemporal graphs: A systematic review, methodological landscape, and research opportunities
Distributed control and optimization with resource-constrained networked systems
Nonadditive similarity-based single-layer perceptron for multi-criteria collaborative filtering
Approximation to the Fisher-Rao metric for the focus of expansion
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses
Viewpoint independent face recognition by competition of the viewpoint dependent classifiers
Intrusion detection for Industrial Internet of Things based on deep learning
Potential Knowledge Extraction Network for Class-Incremental Learning
Distributed quadratic optimization with terminal consensus iterative learning strategy
Universal embedding for pre-trained models and data bench
An experimental analysis of the dependence among codeword bit errors in ECOC learning machines
TransAM: Transformer appending matcher for few-shot knowledge graph completion
Classical-to-quantum convolutional neural network transfer learning
Path-aware multi-hop graph towards improving graph learning
Model optimizing and feature selecting for support vector regression in time series forecasting
Automatic fetal brain extraction from 2D in utero fetal MRI slices using deep neural network
Multi-receptive field feature disentanglement with Distance-Aware Gaussian Brightness Augmentation for single-source domain generalization in medical image segmentation
A classification method for moving targets in the wild based on microphone array and linear sparse auto-encoder
DB-LSTM: Densely-connected Bi-directional LSTM for human action recognition
SVM-based CDMA receiver with incremental active learning
Physics-constrained attack against convolution-based human motion prediction
Adaptive multi-model fusion learning for sparse-reward reinforcement learning
Turn the tables: Proactive deception defense decision-making based on Bayesian attack graphs and Stackelberg games
Formation-containment control for second-order multi-agent systems with time-varying delays
Multi-variable intelligent matching pursuit algorithm using prior knowledge for image reconstruction by l 0 minimization
A novel parallel framework for pursuit learning schemes
Matrix measure based exponential stabilization for complex-valued inertial neural networks with time-varying delays using impulsive control
PYGMALION - Neurocomputing
Stability analysis of stochastic Markovian switching static neural networks with asynchronous mode-dependent delays
A survey of deep learning approaches to image restoration
State estimation of complex-valued neural networks with leakage delay: A dynamic event-triggered approach
Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold
Environmental robust speech and speaker recognition through multi-channel histogram equalization
IMedSeg: Towards efficient interactive medical segmentation
Motivational engine and long-term memory coupling within a cognitive architecture for lifelong open-ended learning
Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm
An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation
Temporal binding of non-uniform objects
Boosting R-CNN: Reweighting R-CNN samples by RPN's error for underwater object detection
A hybrid Wavelet Neural Network and Switching Particle Swarm Optimization algorithm for face direction recognition
An image coding scheme using SMVQ and support vector machines
Observer-based H ∞ control of two-dimensional delayed networks under the random access protocol
SPROUT: Symptom-centric Prototypical Representation Optimization and Uncertainty-aware Tuning for few-shot precision agriculture
Model-free inverse reinforcement learning algorithms for continuous-time and discrete-time zero-sum games
Synchronization and pinning control of T-S fuzzy complex dynamical networks by using membership-function-dependent method
Accelerating deep reinforcement learning model for game strategy
Review and performance comparison of SVM- and ELM-based classifiers
A multi-layer fuzzy model based on fuzzy-rule clustering for prediction tasks
Graph convolutional lifelong medical cross-modal hashing
Bankruptcy prediction using Extreme Learning Machine and financial expertise
Timescale diversity facilitates the emergence of cooperation-extortion alliances in networked systems
Global exponential stability of memristive Cohen-Grossberg neural networks with mixed delays and impulse time window
Divergence-based feature selection for separate classes
Adaptive reverse perturbation network for audio deepfake detection
Adversarial attacks on Faster R-CNN object detector
Image super-resolution employing a spatial adaptive prior model
DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation
GRA-Net: Group response attention for deep learning
Transformer feature collapse of Temporal Action Detection via Multi-granularity Semantic Enhancement
Cross-modal hashing with semantic deep embedding
A cerebellar associative memory approach to option pricing and arbitrage trading
An efficient parallel algorithm for the minimum crossing number problem
How do stimulus-dependent correlations between V1 neurons affect neural coding?
Neural network-based sliding mode controllers applied to robot manipulators: A review
Approximate geometry representations and sensory fusion
Common evidence vectors for self-organized ensemble localization
Adaptive zeroing neural dynamics-based cascaded control scheme for trajectory tracking of wheeled unmanned ground vehicles
Explicit nonlinear predictive control algorithms with neural approximation
Stimulus representation in rat primary visual cortex: multi-electrode recordings with micro-machined silicon probes and estimation theory
Artificial Color
Stability of inertial BAM neural network with time-varying delay via impulsive control
Multi-modal interactive attention and dual progressive decoding network for RGB-D/T salient object detection
Extreme learning machine with parallel layer perceptrons
Online gradient method with smoothing ℓ 0 regularization for feedforward neural networks
An overview of edge and object contour detection
A consensus control strategy for dynamic power system look-ahead scheduling
Sparse representation with learned multiscale dictionary for image fusion
Anchor-based knowledge embedding for image aesthetics assessment
Recycling weak labels for multiclass classification
Fabric defect inspection based on lattice segmentation and Gabor filtering
CAG-NSPDE: Continuous adaptive graph neural stochastic partial differential equations for traffic flow forecasting
MLFNet: Monocular lifting fusion network for 6DoF texture-less object pose estimation
Sparsity induced locality preserving projection approaches for dimensionality reduction
Double-base asymmetric AdaBoost
Modelling engineering systems using analytical and neural techniques: Hybridization
Self-accelerated Thompson sampling with near-optimal regret upper bound
Pixel sensor integrated neuromorphic VLSI system for real-time applications
Stage-wise multi-focus fusion for numerous misaligned industrial images
Multimodal graph convolutional networks for high quality content recognition
3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point
EEG-based fusion approaches in multimodal emotion recognition: An in-depth review
Improving neural network training solutions using regularisation
Fast and robust active camera relocalization in the wild for fine-grained change detection
Set-membership state estimation with nonlinear equality constraints and quantization
Recognition oriented facial image quality assessment via deep convolutional neural network
Reconstructing tree trunks by 3D bar filters
A novel zeroing neural network with activation function-enhanced convergence for efficient data matrix decomposition
Robot recognizing humans intention and interacting with humans based on a multi-task model combining ST-GCN-LSTM model and YOLO model
Model of CA1 place field formation with CA3 lesioned
Dual-CNN based multi-modal sleep scoring with temporal correlation driven fine-tuning
New results on stability analysis of delayed systems derived from extended wirtinger's integral inequality
A McKean-Vlasov optimal mixed regular-singular control problem for nonlinear stochastic systems with Poisson jump processes
Timeseries transcriptomic profiling workflow of patients-derived colorectal cancer organoids enabling clustering, interpolation, and extrapolation
Fast and scalable learning of sparse changes in high-dimensional graphical model structure
A comparison of selected simple supervised learning algorithms to predict driver intent based on gaze data
Exponential synchronization of memristive neural networks with time delays
Active spike transmission in the neuron model with a winding threshold manifold
Trust it or not: Confidence-guided automatic radiology report generation
Simplified-attention Enhanced Graph Convolutional Network for 3D human pose estimation
High-order bipartite containment control in multi-agent systems over time-varying cooperation-competition networks
Sparse kernel spectral clustering models for large-scale data analysis
QuaDCNN: Quantized compression of deep CNN based on tensor-train decomposition with automatic rank determination
Neural network protocols and model performance
A comparative study of optimization techniques for backpropagation
Neural adaptive delay differential equations
Capped ℓp-norm linear discriminant analysis for robust projections learning
Energy efficient jamming attack schedule against remote state estimation in wireless cyber-physical systems
GeoTraPredict: A machine learning system of web spatio-temporal traffic flow
A modular classification model for received signal strength based location systems
A novel multimodal retrieval model based on ELM
Stock price prediction using neural networks: A project report
Fuzzy approximation-based optimal consensus control for nonlinear multiagent systems via adaptive dynamic programming
Token-level disentanglement for unsupervised text style transfer
Neural network models for time-varying tensor complementarity problems
Analyzing and interpreting convolutional neural networks using latent space topology
Finite-time adaptive stability of gene regulatory networks
Emotion recognition by assisted learning with convolutional neural networks
Few-shot open-set recognition via pairwise discriminant aggregation
Storage of auditory temporal patterns in the songbird telencephalon
Multi-level visual tracking with hierarchical tree structural constraint
Sparse representation of classified patches for CS-MRI reconstruction
Multi-objective unsupervised feature selection algorithm utilizing redundancy measure and negative epsilon-dominance for fault diagnosis
An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case
GraphMoCo: A graph momentum contrast model for large-scale binary function representation learning
N-bit parity ordered neural networks
A new scheme to learn a kernel in regularization networks
A weighting k-modes algorithm for subspace clustering of categorical data
Image splicing detection based on Markov features in QDCT domain
A predefined-time double-integral zeroing neural network model for linear equations flows and its application on dynamic position
Finding unstable periodic orbits in electroreceptors, cold receptors and hypothalamic neurons
An artificial neural network for solving quadratic zero-one programming problems
Emergence of filters from natural scenes in a sparse spike coding scheme
Ghostbursting: the effects of dendrites on spike patterns
Double parallel feedforward neural network based on extreme learning machine with L 1/2 regularizer
Finite time impulsive synchronization of fractional order memristive BAM neural networks
Real-time frequency-based noise-robust Automatic Speech Recognition using Multi-Nets Artificial Neural Networks: A multi-views multi-learners approach
Interpretable Locally Adaptive Nearest Neighbors
Deep sketch feature for cross-domain image retrieval
Special issue SOCO 2015: Recent advancements in soft computing and its application in industrial and environmental problems
Emergence of bipartite flocking behavior for Cucker-Smale model on cooperation-competition networks with time-varying delays
Normality-calibrated autoencoder for unsupervised anomaly detection on data contamination
Variance and passivity constrained sliding mode fuzzy control for continuous stochastic non-linear systems
SCAR: Spatial-/channel-wise attention regression networks for crowd counting
Bionic odor encoding and olfactory bulb model for processing electronic nose data
On-line principal component analysis with application to process modeling
Sketch-specific data augmentation for freehand sketch recognition
Text removal network based on comprehensive loss evaluation and its application
Parameter-insensitive kernel in extreme learning for non-linear support vector regression
Visual search reranking with RElevant Local Discriminant Analysis
Towards multi-scale fuzzy sparse discriminant analysis using local third-order tensor model of face images
Gene expression data clustering based on graph regularized subspace segmentation
Light fixed-time control for cluster synchronization of complex networks
Image feature descriptor based on shape salience points
Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution
Linear quadratic stochastic optimal control with state- and control-dependent noises: A deterministic data approach
Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements
New results on adaptive neural control of a class of nonlinear systems with uncertain input delay
SparseSCIGaussian: Sparse snapshot compressed images 3D Gaussian splatting
On artificial brains
Improved sparse least-squares support vector machine classifiers
Deep multi-view residual attention network for crowd flows prediction
Dynamical group consensus of heterogenous multi-agent systems with input time delays
Variants of unsupervised kernel regression: General cost functions
Neural network based adaptive prescribed performance control for a class of switched nonlinear systems
Facial expression intensity estimation using Siamese and triplet networks
Video salient object detection via spatiotemporal attention neural networks
Novel mixing matrix estimation approach in underdetermined blind source separation
Algorithmic randomness based feature selection for traditional Chinese chronic gastritis diagnosis
Neural network ensemble with probabilistic fusion and its application to gait recognition
Blockwise coordinate descent schemes for efficient and effective dictionary learning
Enhancing the correntropy MACE filter with random projections
Interpretable machine learning assessment
A robust modified Gaussian mixture model with rough set for image segmentation
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines
A generalized classification of human sperm head morphology via Contrastive Meta-learning with Auxiliary Tasks
Neural networks: Algorithms and applications
All for one, and one for all: UrbanSyn Dataset, the third Musketeer of synthetic driving scenes
Determining true harmonic contributions of sources using neural network
Supervised Adaptive Incremental Clustering for data stream of chunks
Contrastive optimized graph convolution network for traffic forecasting
Label distribution learning with structured manifold subspace
Exponential stability of continuous-time and discrete-time neural networks with saturated impulses
Probabilistic SVM outputs for pattern recognition using analytical geometry
MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data
Soaring U.S. Market for Artificial Neural Systems
When does interval coding occur?
Warping resilient scalable anomaly detection in time series
Cycle-breaking acceleration of SVM training
Neurodynamical approach to the picture-word interference effect
Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows
Induced functional connectivity in hippocampal cultures using Hebbian electrical stimulation
Robust hyperspectral unmixing based on dual views with adaptive weights
BLISS: towards the simulation of brain-like systems
MPD-GS: Mask-guided point densification for Gaussian splatting
High quality image resizing
Cluster ensemble selection with constraints
Modeling annotator behaviors for crowd labeling
Finite-time stability and finite-time boundedness of fractional order linear systems
Neighborhood based sample and feature selection for SVM classification learning
Modelling a visual discrimination task
Recognizing irrelevant faces in short-form videos based on feature fusion and active learning
Variance change point detection via artificial neural networks for data separation
Part alignment network for vehicle re-identification
Spike pattern-based coding schemes in the cricket cercal sensory system
Unsupervised neighborhood component analysis for clustering
Granular transfer learning using type-2 fuzzy HMM for text sequence recognition
Neural signal classification using a simplified feature set with nonparametric clustering
Improve the performance of co-training by committee with refinement of class probability estimations
A parallel down-up fusion network for salient object detection in optical remote sensing images
Dual distribution matching GAN
Incorporating explicit syntactic dependency for aspect level sentiment classification
Training dynamics of GANs through the lens of persistent homology
On linear separability of data sets in feature space
Feature selection based on sensitivity analysis of fuzzy ISODATA
An adaptive Gaussian mixture method for nonlinear uncertainty propagation in neural networks
Markowitz random forest: Weighting classification and regression trees with modern portfolio theory
Progressive Mimic Learning: A new perspective to train lightweight CNN models
Stabilization and synchronization control for discrete-time complex networks via the auxiliary role of edges subsystem
Explicit 3D reconstruction from images with dynamic graph learning and rendering-guided diffusion
Sliding mode control of MEMS gyroscopes using composite learning
New global exponential stability conditions for inertial Cohen-Grossberg neural networks with time delays
Adaptive neural control for MIMO stochastic nonlinear pure-feedback systems with input saturation and full-state constraints
Multiconsensus of fractional-order uncertain multi-agent systems
Missing data as augmentation in the Earth Observation domain: A multi-view learning approach
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study
A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics
Complex-valued encoding metaheuristic optimization algorithm: A comprehensive survey
Relevance learning in generative topographic mapping
Linear discriminant analysis using rotational invariant L 1 norm