yusuke1997/dblp-id-title huggingface dataset:
New criteria on global robust stability of Cohen-Grossberg neural networks with time-varying delays
Fast adaptive neighbors clustering via embedded clustering
Stability of Markovian jumping recurrent neural networks with discrete and distributed time-varying delays
FAMU-Net: A network method for segmentation of retinal blood vessels based on fuzzy axial attention and multi-scale feature fusion
Synchronizing assemblies perform magnitude-invariant pattern detection
Wavelet-based residual attention network for image super-resolution
Placing spline knots in neural networks using splines as activation functions
Distributed optimization of first-order discrete-time multi-agent systems with event-triggered communication
A hybrid novel SWARA-ELECTRE-I method using probabilistic uncertain linguistic information for feature selection in image recognition
Tri-Domain pattern preserving sign prediction for signed networks
Reply to "Reply to 'Determining structural identifiability of parameter learning machines'"
A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains
Exponential stability of a class of complex-valued neural networks with time-varying delays
A dynamic neural net to compute convex hull
Prescribed performance event-triggered optimal control of nonlinear multi-input systems
ZS-SRT: An efficient zero-shot super-resolution training method for Neural Radiance Fields
Label embedded dictionary learning for image classification
Effects of multiple spike-initiation zones in touch sensory cells of the leech
A neural network approach for multilayer over-the-cell channel routing problems
Ensemble of 6 DoF Pose estimation from state-of-the-art deep methods
A brief introduction to the special issue for ISNN2010
Habituation based neural networks for spatio-temporal classification
Hyperspectral image classification using cluster based graph regularized low rank representation and dictionary learning
Improving radial basis function kernel classification through incremental learning and automatic parameter selection
Stability of inertial delayed neural networks with stochastic delayed impulses via matrix measure method
Methodology for long-term prediction of time series
Ego motion guided particle filter for vehicle tracking in airborne videos
Optimizing the controllability index of directed networks with the fixed number of control nodes
A relative trust-region algorithm for independent component analysis
Corrigendum to "Multi-instance learning based on representative instance and feature mapping" [Neurocomputing 216 (2016) 790-796/1]
RD-DIP: Rician denoising deep image prior
A multi-modal architecture for non-intrusive analysis of performance in the workplace
Optimizing motion and colour segmented images with neural networks
Improving classification accuracy on uncertain data by considering multiple subclasses
Brain age estimation with a greedy dual-stream model for limited datasets
On the inherent property of the decision boundary in complex-valued neural networks
A multi-attribute based framework for ontology aligning
Neural networks based on three classes of NCP-functions for solving nonlinear complementarity problems
Musical track popularity mining dataset: Extension & experimentation
RosMS-ECDBTM: Efficient channel attention enabled distributed deep learning model for mental state detection using EEG signal
On the global robust asymptotic stability of BAM neural networks with time-varying delays
Mean-square stability analysis of discrete-time stochastic Markov jump recurrent neural networks with mixed delays
An efficient open system for offline handwritten signature identification based on curvelet transform and one-class principal component analysis
Neighbor structure aware based cross-view consensus graph learning for incomplete multi-view clustering
From single-trial EEG to brain area dynamics
Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure
Extreme minimal learning machine: Ridge regression with distance-based basis
A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization
Machine learning for drone detection from images: A review of techniques and challenges
Small and dim target detection in infrared imagery: A review, current techniques and future directions
Depth map up-sampling with fractal dimension and texture-depth boundary consistencies
A model of cross-orientation inhibition in cat primary visual cortex
From data fusion to dynamic reasoning: A survey on spatio-temporal knowledge graph construction and embedding methods
Global and local interaction matching model for knowledge-grounded response selection in retrieval-based chatbots
Wood moisture content prediction using feature selection techniques and a kernel method
Further results on sampled-data synchronization control for chaotic neural networks with actuator saturation
Multi-sparse descriptor: A scale invariant feature for pedestrian detection
Pruning and quantization for deep neural network acceleration: A survey
Reinforcement learning-based affine formation maneuver control of autonomous surface vehicles with safety constraints under time-varying actuator faults
MLF-DOU: A metric learning framework with dual one-class units for network intrusion detection
A novel CBIR system with WLLTSA and ULRGA
Using K-Winner Machines for domain analysis
Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference
Resilient model-free adaptive control for cyber-physical systems against jamming attack
Group sparse additive machine with average top-k loss
Multi-nature hierarchical approach for natural image segmentation with pattern refinement feedback
Circuit simulation of memory field modulation by dopamine Dl receptor activation
Fully convolutional line parsing
Multiple optimal learning factors for the multi-layer perceptron
Improving convolutional neural network for text classification by recursive data pruning
High-compressed deepfake video detection with contrastive spatiotemporal distillation
Graph theoretical representation of ANN architectures on regular two-dimensional grids for VLSI implementations
Text extraction from natural scene image: A survey
Live multimedia brand-related data identification in microblog
Visual tracking with dumbbell selection network
Obtaining fault tolerance avoidance behavior using deep reinforcement learning
Fairness in constrained spectral clustering
Region-attentive multimodal neural machine translation
Evolving networks of integrate-and-fire neurons
Multi-oriented text detection and verification in video frames and scene images
Face recognition using nonnegative matrix factorization with fractional power inner product kernel
Contour-aware network for semantic segmentation via adaptive depth
Multiple μ-stability analysis for memristor-based complex-valued neural networks with nonmonotonic piecewise nonlinear activation functions and unbounded time-varying delays
Un-CNL: An uncertainty-based continual noisy learning framework
A new approach for evaluating node importance in complex networks via deep learning methods
REHRSeg: Unleashing the power of self-supervised super-resolution for resource-efficient 3D MRI segmentation
Using Taylor Expansion and Convolutional Sparse Representation for Image Fusion
Finite-time synchronization of nonlinear complex dynamical networks on time scales via pinning impulsive control
Sparse probability density function estimation using the minimum integrated square error
Fusion of classifiers for protein fold recognition
A novel online detection method of data injection attack against dynamic state estimation in smart grid
NN-adaptive predictive control for a class of discrete-time nonlinear systems with input-delay
Detection of fake bitrate videos based on high-frequency and deblocking filtering difference map features
A k-nearest-neighbor classifier with heart rate variability feature-based transformation algorithm for driving stress recognition
Resilient control design for consensus of nonlinear multi-agent systems with switching topology and randomly varying communication delays
EHIN: Early-aware hierarchical interaction network for weakly-supervised referring image segmentation
Evolutionary semi-supervised regression for blast furnace stability prediction
Robust optimization of ANFIS based on a new modified GA
Edge-centric effective connection network based on muti-modal MRI for the diagnosis of Alzheimer's disease
Design and evaluation of a multiagent interaction protocol generating behaviours with different levels of complexity
A human-computer cooperative particle swarm optimization based immune algorithm for layout design
A new data hiding method for H.264 based on secret sharing
Regularized nonnegative matrix factorization with adaptive local structure learning
Finite-time H ∞ control synthesis for nonlinear switched systems using T-S fuzzy model
A unified position-aware convolutional neural network for aspect based sentiment analysis
Hierarchical graph attention network with pseudo-metapath for skeleton-based action recognition
Medical image segmentation using scalable functional variational Bayesian neural networks with Gaussian processes
Object and attribute recognition for product image with self-supervised learning
A parallel general implementation of Kohonen's self-organizing map algorithm: performance and scalability
Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes
A remarkable standard for estimating the performance of 3D facial expression features
A survey on neural networks for (cyber-) security and (cyber-) security of neural networks
Augmented TDNN for frequency and scale invariant sequence classification
Multi layer spectral decomposition technique for ERD estimation in EEG μ rhythms: An EEG-fMRI study
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization
Dynamic network embedding survey
Subset based least squares subspace regression in RKHS
Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms
Theta-modulated input reduces intrinsic gamma oscillations in a hippocampal model
Reliable ℓ2-ℓ∞ state estimation for delayed neural networks under weighted try-one-discard protocol
Stochastic finite-time state estimation for discrete time-delay neural networks with Markovian jumps
A Cauchy loss-incorporated nonnegative latent factorization of tensors model for spatiotemporal traffic data recovery
How to form brain-like memory in spiking neural networks with the help of frequency-induced mechanism
Learning task-specific discriminative embeddings for few-shot image classification
Self-attention-based long temporal sequence modeling method for temporal action detection
Label self-correction intelligent diagnosis method and embedded system for axle box bearings of high-speed trains with noisy labels
A new generative adversarial networks-based fault diagnosis framework: Learning a mapping to estimate fault
Evolutionary modular design of rough knowledge-based network using fuzzy attributes
Self-organization and lateral interaction in echo state network reservoirs
Data-driven predictive point-to-point iterative learning control
Sparse representation-based robust face recognition by graph regularized low-rank sparse representation recovery
Impulsive quasi-containment control in heterogeneous multiplex networks
Guaranteed cost control for uncertain genetic regulatory networks with interval time-varying delays
Stimulus competition by inhibitory interference
Understanding activation patterns in artificial neural networks by exploring stochastic processes: Discriminating generalization from memorization
Theoretical bases for the relation between excitability, variability and synchronization in sequential neural dynamics
A collaborative content moderation framework for toxicity detection based on multitask neural networks and conformal estimates of annotation disagreement
A comprehensive survey of adversarial defense techniques in the visual domain
Spiking neural networks for frame-based and event-based single object localization
Focusing on what humans see: Robustness enhancement through adversarial supervised contrastive learning
Advances in vehicle re-identification techniques: A survey
A unified framework implementing linear binary relevance for multi-label learning
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
Superpixel based continuous conditional random field neural network for semantic segmentation
Trajectory tracking of QUAV based on cascade DRL with feedforward control
New passivity conditions with fewer slack variables for uncertain neural networks with mixed delays
Video object detection for autonomous driving: Motion-aid feature calibration
Energy-to-peak filtering for T-S fuzzy systems with Markovian jumping: The finite-time case
Hybrid generative-discriminative learning for online tracking of sperm cell
Group consensus for second-order discrete-time multi-agent systems with time-varying delays under switching topologies
Position-aware image captioning with spatial relation
Enhancing federated learning-based social recommendations with graph attention networks
TDM modeling and evaluation of different domain transforms for LSI
Physical intrusion monitoring via local-global network and deep isolation forest based on heterogeneous signals
Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing
Energy-efficient VM opening algorithms for real-time workflows in heterogeneous clouds
Exponential stability of impulsive discrete systems with time delay and applications in stochastic neural networks: A Razumikhin approach
Dynamic event-triggered regional synchronization for discrete-time delayed dynamical networks: Dealing with saturating actuators
A stimulus density-dependent normalization mechanism for modulating the range of contour integration
Adaptive feature representation for robust face recognition using context-aware approach
An adaptive nonlinear filter for integrated navigation systems using deep neural networks
Adding geodesic information and stochastic patch-wise image prediction for small dataset learning
Predicting cancer outcomes from whole slide images via hybrid supervision learning
Stability of delayed quaternion-valued neural networks with general probabilistic bounded Markovian switching
PatchSkip: A lightweight technique for effectively alleviating over-smoothing in vision transformers
Group consensus tracking control of second-order multi-agent systems with directed fixed topology
A comprehensive survey of unimodal facial databases in 2D and 3D domains
Video segmentation via target objectness constraint and multi-head soft aggregation
Unbiased multimodal intent recognition with auxiliary rationale generation
Unpaired referring expression grounding via bidirectional cross-modal matching
A systematic review on deep learning based methods for cervical cell image analysis
Coarse-to-fine visual tracking with PSR and scale driven expert-switching
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach
Competing sensory neurons and motor rhythm coordination
CP-activated WASD neuronet approach to Asian population prediction with abundant experimental verification
Response selection with topic clues for retrieval-based chatbots
Deep learning in motor imagery EEG signal decoding: A Systematic Review
Non-stationary feature fusion of face and palmprint multimodal biometrics
A hybrid optimization algorithm for multi-agent dynamic planning with guaranteed convergence in probability
Will you go where you search? A deep learning framework for estimating user search-and-go behavior
Generalizing expectation propagation with mixtures of exponential family distributions and an application to Bayesian logistic regression
Micro-expression action unit detection with spatial and channel attention
Hybrid neural network predictor for distributed parameter system based on nonlinear dimension reduction
Classifier ensemble methods in feature selection
Neural network-based hybrid force/position control of constrained reconfigurable manipulators
Symbol Recurrence Plots based resting-state eyes-closed EEG deterministic analysis on amnestic mild cognitive impairment in type 2 diabetes mellitus
Inter-occlusion reasoning for human detection based on variational mean field
Sampled FLDA for face recognition with single training image per person
Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey
Why KDAC? A general activation function for knowledge discovery
A unified associative memory model based on external inputs of continuous recurrent neural networks
A joint model for IT operation series prediction and anomaly detection
Stability analysis for delayed neural networks: A fractional-order function method
A new method for global stability analysis of delayed reaction-diffusion neural networks
Robust locally nonlinear embedding (RLNE) for dimensionality reduction of high-dimensional data with noise
Mutual information based multi-label feature selection via constrained convex optimization
DADRnet: Cross-domain image dehazing via domain adaptation and disentangled representation
Task-generic mental fatigue recognition based on neurophysiological signals and dynamical deep extreme learning machine
RetinaStudio: A bioinspired framework to encode visual information
Auto-compression transfer learning methodology for deep convolutional neural networks
A robust active contour model driven by pre-fitting bias correction and optimized fuzzy c-means algorithm for fast image segmentation
Automatic face annotation in TV series by video/script alignment
High-level attributes modeling for indoor scenes classification
Unsupervised kernel least mean square algorithm for solving ordinary differential equations
Adherent mist and raindrop removal from a single image using attentive convolutional network
Guest Editorial: Special issue on encoding-decoding-based state estimation for neural networks
PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities
Leader-following consensus of second-order multi-agent systems with intermittent communication via persistent-hold control
A recurrent neural network model of rule-guided delayed tasks
Edge-based adaptive secure consensus for nonlinear multiagent systems with communication link attacks
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants
Brain computer interface: control signals review
Finite-time passivity of multi-weighted coupled neural networks with directed topologies and time-varying delay
Novel delay-dependent stability criteria of neural networks with time-varying delay
Exponential stability of impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms
Global asymptotical stability analysis for a kind of discrete-time recurrent neural network with discontinuous activation functions
Characterization of and compensation for the nonstationarity of spike shapes during physiological recordings
An efficient hybrid linear and kernel CSP approach for EEG feature extraction
Improving a statistical language model through non-linear prediction
Context constraint and pattern memory for long-term correlation tracking
Cluster synchronization for directed complex dynamical networks via pinning control
An improved SMO algorithm for financial credit risk assessment - Evidence from China's banking
Fingerprint matching based on weighting method and the SVM
Real-time neural computation of the eigenvector corresponding to the largest eigenvalue of positive matrix
Understanding community structure in layered neural networks
Optimal bipartite graph matching-based goal selection for policy-based hindsight learning
ALPPA: An accuracy-lossless and privacy-preserving aggregation strategy for federated knowledge graph completion model
A binary neural decision table classifier
Harmonious attention network for person re-identification via complementarity between groups and individuals
A Laplacian structured representation model in subspace clustering for enhanced motion segmentation
Improving projected fuzzy K-means clustering via robust learning
Further results on H ∞ state estimation of static neural networks with time-varying delay
Hetero-MoE by attention: Three-plus tasks learning solver
Concave-convex norm ratio prior based double model and fast algorithm for blind deconvolution
Feature learning from incomplete EEG with denoising autoencoder
Towards Reading Beyond Faces for Sparsity-aware 3D/4D Affect Recognition
A novel fuzzy ARTMAP with area of influence
Mixture-of-experts-based hierarchical dynamic multimodal fusion network for dermatological diagnosis
Multi-frame image super-resolution reconstruction using sparse co-occurrence prior and sub-pixel registration
Prediction of blood glucose concentration for type 1 diabetes based on echo state networks embedded with incremental learning
Human intention recognition based on eyeball movement pattern and pupil size variation
An improved stability criterion for generalized neural networks with additive time-varying delays
New discrete-time zeroing neural network for solving time-variant underdetermined nonlinear systems under bound constraint
Ensemble deep relevant learning framework for semi-supervised soft sensor modeling of industrial processes
Learning adversarial point-wise domain alignment for stereo matching
Two-stage real-world image dehazing method using physics-based dehazing network and contrastive learning generative adversarial network
Stepless PWM speed control of AC motors: A neural network approach
Neural adaptive optimal control for nonlinear multiagent systems with full-state constraints and immeasurable states
A simple multi-constraint fusion based semi-supervised non-negative matrix decomposition for image clustering
FDDGNet: An information bottleneck-inspired feature disentanglement network for cross-subject EEG-based emotion recognition
An approximation algorithm for bus evacuation problem
NeRF dynamic scene reconstruction based on motion, semantic information and inpainting
Feature vector selection and projection using kernels
Different modified zeroing neural dynamics with inherent tolerance to noises for time-varying reciprocal problems: A control-theoretic approach
Adaptively post-encoding multiple description video coding
Modeling the effects of nicotine on a continuous performance task
The bipolar and unipolar reversible behavior on the forgetting memristor model
Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift
A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking
Detection of cervical cancer cells based on strong feature CNN-SVM network
User session level diverse reranking of search results
New criteria for exponential stability of delayed recurrent neural networks
A novel full structure optimization algorithm for radial basis probabilistic neural networks
Document-level emotion detection using graph-based margin regularization
V-SOINN: A topology preserving visualization method for multidimensional data
Parallel hyperparameter optimization of spiking neural networks
Semi-global observer-based nonnegative edge-consensus of linear discrete-time multi-agent systems with nonnegative constraint and input saturation
MHFFNet: Multi-category hybrid feature fusion network for few-shot anomaly detection
Estimating small area mean with mixed and fixed effects support vector median regressions
Image reconstruction by an alternating minimisation
Digital-twin-based AGV cluster dynamic scheduling for solar cell production workshop using deep reinforcement learning
Modeling and neural network control of a flexible beam with unknown spatiotemporally varying disturbance using assumed mode method
Using fuzzy non-linear regression to identify the degree of compensation among customer requirements in QFD