yusuke1997/dblp-id-title huggingface dataset:
Learning spatio-temporal stimuli with networks of spiking neurons and dynamic synapses
Novel source domain filtering dual classifier network with adaptive pseudo label refinement for partial domain fault diagnosis
Positive unlabeled learning with tensor networks
A neural network method for solving support vector classification problems
TSPred: A framework for nonstationary time series prediction
Deep learning neural networks: Methods, systems, and applications
Classical and superposed learning for quantum weightless neural networks
CRMSP: A semi-supervised approach for key information extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification
Image guidance based 3D vehicle detection in traffic scene
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities
Consensus of linear multi-agent systems via adaptive event-based protocols
Finite-time synchronization of fractional-order reaction-diffusion neural networks via generalized Halanay inequalities
Model-free optimal containment control of multi-agent systems based on actor-critic framework
Presence of brain-spinal cord interactions alters lamprey locomotor response to periodic perturbation
Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model
Knowledge graph embedding based on embedding permutation and high-frequency feature fusion for link prediction
Eliciting compact T-S fuzzy models using subtractive clustering and coevolutionary particle swarm optimization
Automated layer-wise solution for ensemble deep randomized feed-forward neural network
Zonotopic set-membership state estimation for nonlinear systems based on the deep Koopman operator
Boosting biomedical document classification through the use of domain entity recognizers and semantic ontologies for document representation: The case of gluten bibliome
A novel automatic two-stage locally regularized classifier construction method using the extreme learning machine
Synchronization for coupled reaction-diffusion neural networks with and without multiple time-varying delays via pinning-control
Distributed synchrony in an attractor of spiking neurons
An overview of recent multi-view clustering
Non-intrusive speech quality prediction in VoIP networks using a neural network approach
Support vector regression based on data shifting
Online parallel multi-task relationship learning via alternating direction method of multipliers
A novel virtual sample generation method to improve the quality of data and the accuracy of data-driven models
CausalSR: Structural causal model-driven super-resolution with counterfactual inference
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities
A hybrid Markov-based model for human mobility prediction
Graph representation learning with encoding edges
Deep canonical correlation analysis with progressive and hypergraph learning for cross-modal retrieval
Evolutionary algorithms with neighborhood cooperativeness according to neural maps
Bayesian optimization of a hybrid system for robust ocean wave features prediction
A new online data imputation method based on general regression auto associative neural network
Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems
Evolutionary algorithm and decisional DNA for multiple travelling salesman problem
A 3D polar-radius-moment invariant as a shape circularity measure
ProIn: Learning to predict trajectory based on progressive interactions for autonomous driving
Spike sorting: a novel shift and amplitude invariant technique
Robust object recognition via weakly supervised metric and template learning
Interpretable spatio-temporal attention LSTM model for flood forecasting
An external learning assisted self-examples learning for image super-resolution
PT-NAS: Designing efficient keypoint-based object detectors for desktop CPU platforms
Adaptive memory refinement and perception enhancement for exo-to-ego video generation
Element-conditioned GAN for graphic layout generation
A sparse representation and dictionary learning based algorithm for image restoration in the presence of Rician noise
Quantized H ∞ filter design for networked control systems with random nonlinearity and sensor saturation
How important is data quality? Best classifiers vs best features
Multistability of switched complex-valued neural networks with state-dependent switching rules
Point cloud recognition based on lightweight embeddable attention module
Parallel nonparametric binarization for degraded document images
Effect of Ca 2+ on presynaptic facilitation
ZstGAN: An adversarial approach for Unsupervised Zero-Shot Image-to-image Translation
Active learning with error-correcting output codes
Fault identification and fault-tolerant control for unmanned autonomous helicopter with global neural finite-time convergence
A unified deep artificial neural network approach to partial differential equations in complex geometries
LPSRGAN: Generative adversarial networks for super-resolution of license plate image
An optimized nonlinear grey Bernoulli model and its applications
A neural model of landmark navigation in insects
SSTM: Spatiotemporal recurrent transformers for multi-frame optical flow estimation
Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization
A dynamic anchor-based online semi-supervised learning approach for fault diagnosis under variable operating conditions
Design, analysis and verification of recurrent neural dynamics for handling time-variant augmented Sylvester linear system
Computationally efficient neural hybrid automaton framework for learning complex dynamics
DropELM: Fast neural network regularization with Dropout and DropConnect
Cross-modal transformer with language query for referring image segmentation
Human scanpath prediction based on deep convolutional saccadic model
Palmprint recognition using Gabor feature-based (2D) 2 PCA
KFEX-N : A table-text data question-answering model based on knowledge-fusion encoder and EX-N tree decoder
Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism
LSTM with sentence representations for document-level sentiment classification
The convergence analysis and specification of the Population-Based Incremental Learning algorithm
A survey of structural representation learning for social networks
A procedure for improving generalization in classification trees
New similarity measures of localities for a two-layer matching scheme and estimation of fundamental matrices
Parallel pathway dense neural network with weighted fusion structure for brain tumor segmentation
Switching between gamma and theta: Dynamic network control using subthreshold electric fields
A context and preference-aware neural network for auction design
A novel forward gene selection algorithm for microarray data
Locally recurrent neural networks for long-term wind speed and power prediction
Dynamic item feature modeling for rating prediction in recommender systems
Designing an accurate hand biometric based authentication system fusing finger knuckleprint and palmprint
Non-equilibrium statistical mechanics of recurrent networks with realistic neurons
Optimal spontaneous activity in neural network modeling
ECG arrhythmia classification using a probabilistic neural network with a feature reduction method
Improved diagnostics for the incipient faults in analog circuits using LSSVM based on PSO algorithm with Mahalanobis distance
Physics-informed Echo State Networks for modeling controllable dynamical systems
Recommendation systems with LLM-based semantic embeddings and FAISS similarity search
A two-dimensional population density approach to modeling the dLGN/PGN network
An LSTM-based distributed scheme for data transmission reduction of IoT systems
Almost sure exponential stability of stochastic cellular neural networks with unbounded distributed delays
Seemingly unrelated extreme learning machine
A Semi-supervised manifold alignment algorithm and an evaluation method based on local structure preservation
Introducing shape priors in Siamese networks for image classification
Real-time moisture control in sintering process using offline-online NARX neural networks
Exponential synchronization for a class of complex spatio-temporal networks with space-varying coefficients
Adaptive dynamic programming based event-triggered multi-H∞ control
Agent reactive capabilities in dynamic environments
Low-rank image tag completion with dual reconstruction structure preserved
Deep learning for image super-resolution
Stagewise edge expansion physics-informed neural networks for solving PDEs
Almost periodic solutions for neutral type BAM neural networks with distributed leakage delays on time scales
Anti-control of Hopf bifurcation for Chen's system through washout filters
Exponential stability of FCNNs with time-varying leakage delays and reaction-diffusion terms
High speed long-term visual object tracking algorithm for real robot systems
A nonlinear encoder in crayfish sustaining fibers
Time-varying neurodynamic optimization approaches with fixed-time convergence for sparse signal reconstruction
Limitations on detection of gradients of diffusible chemicals by axons
Hybrid intelligent control of BOF oxygen volume and coolant addition
CoATR: A Convolutional Autoregressive Tensor-Ring decomposition method for sparse spatio-temporal traffic data
Bearing diagnosis with multiscale discriminative CNN under varying speed conditions
Blind image quality assessment based on hierarchical dependency learning and quality aggregation
An evolutionary agent-based framework for modeling and analysis of labor market
Exponential input-to-state stability of stochastic delay reaction-diffusion neural networks
A denoising carbon price forecasting method based on the integration of kernel independent component analysis and least squares support vector regression
Knowledge embedded GCN for skeleton-based two-person interaction recognition
Semi-empirical dynamics modeling of a bicycle robot based on feature selection and RHONN
On scaling of soft-thresholding estimator
Out-of-vocabulary handling and topic quality control strategies in streaming topic models
Adaptive output synchronization of complex delayed dynamical networks with output coupling
Distributed set-membership filtering for nonlinear systems subject to round-robin protocol and stochastic communication protocol over sensor networks
Certainty factors versus Parzen windows as reliability measures in RBF networks
A new method for information update in supervised neural structures
Multiple kernel dimensionality reduction based on linear regression virtual reconstruction for image set classification
Interactive resource recommendation with optimization by tag association and significance analysis
An oscillating cortical model of auditory attention and electrophysiology
YOLO-ELWNet: A lightweight object detection network
RegiNet: Gradient guided multispectral image registration using convolutional neural networks
Vision-assisted recognition of stereotype behaviors for early diagnosis of Autism Spectrum Disorders
Classification of covariance matrices using a Riemannian-based kernel for BCI applications
Adversarial task-specific learning
A clustering-based differential evolution with random-based sampling and Gaussian sampling
An improved teaching-learning-based optimization with neighborhood search for applications of ANN
A semi-supervised multiscale generalized-VAE framework for one-class classification
Hessian regularization by patch alignment framework
Erratum to "Tracking control based on neural network strategy for robot manipulator" by R.-J. Wai: [Neurocomputing 51 (2003) 425-445]
Adaptive backstepping Elman-based neural control for unknown nonlinear systems
Triple-discriminator generative adversarial network for infrared and visible image fusion
Understanding interactions between networks controlling distinct behaviours: Escape and swimming in larval zebrafish
Three convolutional neural network models for facial expression recognition in the wild
Geometrical methods for non-negative ICA: Manifolds, Lie groups and toral subalgebras
Delay-dependent robust H ∞ filtering of uncertain stochastic genetic regulatory networks with mixed time-varying delays
Improved passivity analysis for neural networks with Markovian jumping parameters and interval time-varying delays
A second order sliding mode control and a neural network to drive a knee joint actuated orthosis
Feature selection for automatic analysis of emotional response based on nonlinear speech modeling suitable for diagnosis of Alzheimer's disease
Extended dissipative synchronization for singularly perturbed semi-Markov jump neural networks with randomly occurring uncertainties
Adaptive control for output projective synchronization of fractional-order hybrid coupled neural networks with mismatched dimensions
An essential role of random arrangement of coincidence detection neurons in hyperaccurate sound location of owl
Individual and collective properties of computationally efficient motoneuron models of types S and F with active dendrites
A semantic RBM-based model for image set classification
Fixed-time event-triggered adaptive control of manipulator system with input deadzone and model uncertainty
Multi-factors based sentence ordering for cross-document fusion from multimodal content
Simulation of neural population dynamics with a refractory density approach and a conductance-based threshold neuron model
A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing
Hierarchical Reasoning Enhanced Few-Shot Multimodal Sentiment Analysis
Committees of Adaboost ensembles with modified emphasis functions
Learning node and edge embeddings for signed networks
Local subspace smoothness alignment for constrained local model fitting
FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning
Non-fragile H ∞ filtering for nonlinear systems with randomly occurring gain variations and channel fadings
Improved seeker optimization algorithm hybridized with firefly algorithm for constrained optimization problems
Stability analysis of opposite singularity in multilayer perceptrons
Selective residual learning for Visual Question Answering
Encoder augmentation for multi-task graph contrastive learning
3D local ternary co-occurrence patterns for natural, texture, face and bio medical image retrieval
Mean Absolute Percentage Error for regression models
Indirectly regularized variational level set model for image segmentation
A novel hybrid clustering approach based on K-harmonic means using robust design
LHNet: Lightweight hybrid network with multi-scale sliding window attention for real-time semantic segmentation
Regularization graph convolutional networks with data augmentation
Non-integer norm regularization SVM via Legendre-Fenchel duality
GIPTP: Global Interaction Policy Trend Prediction Based on Historical Behavior for multi-agent cooperative reinforcement learning
One-step multi-view clustering via label transmission and fusion
PD control for passivity of coupled reaction-diffusion neural networks with multiple state couplings or spatial diffusion couplings
Towards sharper excess risk bounds for differentially private pairwise learning
Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals
Performance and interpretability analysis of code generation large language models
The use of artificial neural networks for condition monitoring of electrical power transformers
Dual-stream collaborative tracking algorithm combined with reliable memory based update
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
Source camera identification from image texture features
scMFE: A multi-view fusion enhanced graph contrastive learning method for scRNA-seq data clustering
A project neural network for solving degenerate convex quadratic program
Adaptive output-feedback optimal control for continuous-time linear systems based on adaptive dynamic programming approach
Collective decision optimization algorithm: A new heuristic optimization method
Learning hierarchical discrete prior for co-speech gesture generation
Learning-automata-based scheduling algorithms for input-queued ATM switches
Synchronization criteria of chaotic Lur'e systems with delayed feedback PD control
Estimation of human impedance and motion intention for constrained human-robot interaction
Individual discrimination of freely swimming pulse-type electric fish from electrode array recordings
Cognitive state recognition using wavelet singular entropy and ARMA entropy with AFPA optimized GP classification
Both reliable and unreliable predictions matter: Domain adaptation for bearing fault diagnosis without source data
Automated gene function prediction through gene multifunctionality in biological networks
MKGF: A multi-modal knowledge graph based RAG framework to enhance LVLMs for Medical visual question answering
Robust multi-view data clustering with multi-view capped-norm K-means
Unidirectional and hierarchical on-chip interconnected architecture for large-scale hardware spiking neural networks
A self-adaptive ensemble for user interest drift learning
Hybrid extreme learning machine approach for homogeneous neural networks
Non-uniform attractor embedding for time series forecasting by fuzzy inference systems
Solving a kind of nonlinear programming problems via analog neural networks
An estimation model for social relationship strength based on users' profiles, co-occurrence and interaction activities
Fuzzy classifier design: Ludmila Kuncheva; Physica-Verlag and Springer, Wurzburg and Berlin, 2000, 315 pp. ISBN 3-7908-1298-6
Alzheimer's disease detection via human activity recognition and temporal segmentation in untrimmed videos
Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies
Deep convolutional neural networks for data delivery in vehicular networks
Active dendrites regulate spatio-temporal synaptic integration in hippocampal dentate granule cells
Odor recognition in an artificial nose by spatio-temporal processing using an olfactory neuronal network
Region stability analysis for switched discrete-time recurrent neural network with multiple equilibria
Design of digital camouflage by recursive overlapping of pattern templates
Flatness-based adaptive neurofuzzy control of induction generators using output feedback
Functional penetration of variability of motor neuron spike timing through a modulated neuromuscular system
A neural refinement network for single image view synthesis
Language-independent, neural network-based, text-to-phones conversion
Global exponential estimates of stochastic interval neural networks with discrete and distributed delays
Solution to gang crime based on Graph Theory and Analytical Hierarchy Process
A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters
Control synthesis of Roesser type discrete-time 2-D T-S fuzzy systems via a multi-instant fuzzy state-feedback control scheme
Multi-view kernel PCA for time series forecasting
A new method for evaluating the complexity of animal behavioral patterns based on the notion of Kolmogorov complexity, with ants' hunting behavior as an example
Multiple kernel clustering with pure graph learning scheme
Exploiting high level feature for dynamic textures recognition
A new information theoretic analysis of sum-of-squared-error kernel clustering
Visibility restoration of single foggy images under local surface analysis
NNMap: A method to construct a good embedding for nearest neighbor classification
Synchronization of coupled neural networks via saturated impulsive correction involving state-dependent delay
Newton cooling theorem-based local overlapping regions cleaning and oversampling techniques for imbalanced datasets
Spatial attention in asynchronous neural networks
DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction
A novel index for the robustness comparison of classifiers in fault diagnosis
Optimal segmentation of brain MRI based on adaptive bacterial foraging algorithm
Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis
A spike sorting framework using nonparametric detection and incremental clustering
Scaling effects in a model of the olfactory bulb
Generalized Hopfield networks for associative memories with multi-valued stable states
A robust clustering method with noise identification based on directed K-nearest neighbor graph
Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction
Visual abstraction and exploration of large-scale geographical social media data
3D path planning for AUVs under ocean currents by prioritized experience replay mechanism
Weak, modified and function projective synchronization of chaotic memristive neural networks with time delays
A tardigrade-inspired metaheuristic algorithm for complex multimodal optimization and high-dimensional applications
Global asymptotic stability for a class of complex-valued Cohen-Grossberg neural networks with time delays
Deep reinforcement learning in loop fusion problem
Passivity and pinning passivity of complex dynamical networks with spatial diffusion coupling
Weighted least squares projection twin support vector machines with local information
Lightweight memory-driven self-attention for hyperspectral image classification with CNN-transformer cross-feature fusion
A stochastic gradient tracking algorithm with adaptive momentum for distributed optimization
RankSync: Synergistic learning of embeddings for coarse and fine ranking in recommendation
Neural observer-based formation for multi-UAVs against deception and desired trajectory attacks
Approximate kernel extreme learning machine for large scale data classification
A concept-cognitive learning approach from the perspective of causal reasoning
Leveraging neighborhood session information with dual attentive neural network for session-based recommendation
Normalized Gaussian Radial Basis Function networks
Robust image restoration via random projection and partial sorted ℓ p norm
Optimal control of Markovian jump systems via a neural network-based ADP iterative algorithm
Mixture of embedding experts for open knowledge graphs
A topic-driven language model for learning to generate diverse sentences
Bi-branch network with region-wise dynamic convolution for image inpainting
Effects of dopaminergic modulation of persistent sodium currents on the excitability of prefrontal cortical neurons: A computational study
Generalized Dirichlet-process-means for f -separable distortion measures
Optimal contour integration: When additive algorithms fail
End-to-end food condition system via wavelet attention enhanced network
The contributions of different interneuron types to the activity patterns and plasticity of pyramidal cells in the hippocampus
Image clustering by hyper-graph regularized non-negative matrix factorization
Multiple kernel locality-constrained collaborative representation-based discriminant projection for face recognition
Robust consensus of fractional-order multi-agent systems with positive real uncertainty via second-order neighbors information
A trajectory planning method for robot scanning system uuuusing mask R-CNN for scanning objects with unknown model
A CNN-based approach for a class of non-standard hyperbolic partial differential equations modeling distributed parameters (nonlinear) control systems
Automatic sleep staging method of EEG signal based on transfer learning and fusion network
Style transfer for unsupervised domain-adaptive person re-identification
Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems
Attention based multilayer feature fusion convolutional neural network for unsupervised monocular depth estimation