yusuke1997/dblp-id-title huggingface dataset:
Non-weighted H ∞ state estimation for discrete-time switched neural networks with persistent dwell time switching regularities based on Finsler's lemma
The power of time-free tissue P systems: Attacking NP-complete problems
BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification
A spiking neural network for extraction of features in colour opponent visual pathways and FPGA implementation
Synchronization and control for directly coupled reaction-diffusion neural networks with multiple weights and hybrid coupling
Reinforcement group cooperation-based symbiotic evolution for recurrent wavelet-based neuro-fuzzy systems
A novel design of memristor-based bidirectional associative memory circuits using Verilog-AMS
FPGA implementation of hippocampal spiking network and its real-time simulation on dynamical neuromodulation of oscillations
Global convergence analysis of a self-stabilizing MCA learning algorithm
An evolutionary restricted neighborhood search clustering approach for PPI networks
Dissipativity and passivity analysis for uncertain discrete-time stochastic Markovian jump neural networks with additive time-varying delays
Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system
Position tracking control for chaotic permanent magnet synchronous motors via indirect adaptive neural approximation
Performing a symbolic inference step on distributed representations
Shape context and projection geometry constrained vasculature matching for 3D reconstruction of coronary artery
PFRNet: Progressive multi-scale feature fusion and refinement for RGB-D salient object detection
Video-based non-uniform object motion blur estimation and deblurring
Class-wise dictionary learning for hyperspectral image classification
Tracking control based on neural network strategy for robot manipulator
Event-triggered generalized dissipative filtering for delayed neural networks under aperiodic DoS jamming attacks
Event-triggered finite-time adaptive consensus control for stochastic nonlinear multi-agent systems
SMAFusion: Multimodal medical image fusion based on spatial registration and local-global multi-scale feature adaptive fusion
Networked predictive control for nonlinear systems with stochastic disturbances in the presence of data losses
Three-phase strategy for the OSD learning method in RBF neural networks
A generalized neural network for solving minimax problems with nonsmooth cost functions
UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured fuzzy rules
Global synchronization of delay-coupled genetic oscillators
Control and Optimization of a Bionic Robotic Fish Through a Combination of CPG model and PSO
Deep multi-similarity hashing via label-guided network for cross-modal retrieval
Study on the role of GABAergic synapses in synchronization
Wireless and sensorless 3D ultrasound imaging
Response-locked changes in auto- and cross-covariations in parietal cortex
Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements
The resistance distances of electrical networks based on Laplacian generalized inverse
Conformal self-organizing map on curved seamless surface
Locating splicing forgery by adaptive-SVD noise estimation and vicinity noise descriptor
Dynamic and collective analysis of membrane protein interaction network based on gene regulatory network model
Joint network embedding of network structure and node attributes via deep autoencoder
A discrete competitive Hopfield neural network for cellular channel assignment problems
Online sequential ELM algorithm with forgetting factor for real applications
50 years of artificial intelligence: A neuronal approach
Gossip-based asynchronous algorithms for distributed composite optimization
Hopf bifurcation analysis for genetic regulatory networks with two delays
Shadow removal based on YCbCr color space
Novel stability criterions of a new fuzzy cellular neural networks with time-varying delays
Design of a brain tissue scanner
Fast density estimation for density-based clustering methods
Pairwise comparisons in spectral ranking
Triple contrastive learning framework for domain-level zero-shot recommendation
An information-theoretic analysis of the coding of a periodic synaptic input by integrate-and-fire neurons
Fine-grained Question-Answer sentiment classification with hierarchical graph attention network
A face detection using biologically motivated bottom-up saliency map model and top-down perception model
Neuroadaptive finite-time output feedback control for PMSM stochastic nonlinear systems with iron losses via dynamic surface technique
Local and correlation attention learning for subtle facial expression recognition
Sky detection by effective context inference
Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm
Adaptive neural quantized control for full-state constrained Markov jumping nonlinear systems with incomplete transition probabilities and unknown control directions
Model-free optimal control design for a class of linear discrete-time systems with multiple delays using adaptive dynamic programming
Decoding first-spike latency: A likelihood approach
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations
Pre-stimulus network responses affect information coding in neural variability quenching
Efficient smile detection by Extreme Learning Machine
Finite-time sampled-data control for switching T-S fuzzy systems
A clonal selection based approach to statistical brain voxel classification in magnetic resonance images
Exploiting multiple cues in motion segmentation based on background subtraction
Local spatial self-attention based deep network for meteorological data downscaling
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)
Weakly supervised easy-to-hard learning for object detection in image sequences
AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine
A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function
Automatic sleep stage recurrent neural classifier using energy features of EEG signals
An evolving connectionist system for data stream fuzzy clustering and its online learning
H ∞ filter design for fuzzy systems with quantized measurements
The impact of channel and external synaptic noises on spatial and temporal coherence in neuronal networks
Defining and applying prediction performance metrics on a recurrent NARX time series model
Adaptive entropy-based learning with dynamic artificial neural network
Path following of marine surface vehicles with dynamical uncertainty and time-varying ocean disturbances
Deep layer guided network for salient object detection
Multi-feature tracking via adaptive weights
Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism
Determination of influential nodes based on the Communities' structure to maximize influence in social networks
Neural network modeling of temperature behavior in an exothermic polymerization process
Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers
A biophysical neural accumulator model of decision making in an antisaccade task
Mathematical Methods for Neural Network Analysis and Design: R.M. Golden, MIT Press, Cambridge, MA, 1996, 419 pp., ISBN 0-262-07174-6
Gaussian process regression method for forecasting of mortality rates
A gesture recognition system with retina-V1 model and one-pass dynamic programming
Local-global coordination with transformers for referring image segmentation
Deep neural networks with Elastic Rectified Linear Units for object recognition
The onset and closure of critical period plasticity regulated by feedforward inhibition
A multi-scale smoothing kernel for measuring time-series similarity
HRCP : High-ratio channel pruning for real-time object detection on resource-limited platform
Attention-based fusion network for RGB-D semantic segmentation
3D face reconstruction from skull by regression modeling in shape parameter spaces
A deep feature based framework for breast masses classification
δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting
Single image dehazing based on fusion strategy
Bearing fault diagnosis under time-varying speeds with limited samples using frequency temporal series graph and graph generative classified adversarial networks
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine
Improved binary classification performance using an information theoretic criterion
Developing robust non-linear models through bootstrap aggregated neural networks
Deepside: A general deep framework for salient object detection
A neural-wavelet architecture for voice conversion
Selective enhancement of recall through plasticity modulation in an autoassociative memory
Geometric active curve for selective entropy optimization
MFGCN: Multimodal fusion graph convolutional network for speech emotion recognition
A multi-embedding domain video steganography algorithm based on TU partitioning and intra prediction mode
Correlated firing and the information represented by neurons in short epochs
A new face recognition method based on image decomposition for single sample per person problem
Neural-network-based adaptive output-feedback formation tracking control of USVs under collision avoidance and connectivity maintenance constraints
Multi-source adversarial domain adaptation with modulated adaptive weights
CoProLITE: Constrained Proxy Learning for lIver and hepaTic lesion sEgmentation
Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability
DT-LET: Deep transfer learning by exploring where to transfer
LGKGR: A knowledge graph reasoning model using LLMs augmented GNNs
Uncertainty-aware pseudo-label filtering for source-free unsupervised domain adaptation
Person re-identification by enhanced local maximal occurrence representation and generalized similarity metric learning
Parallel faithful dimensionality reduction to enhance the visualization of remote sensing imagery
Adaptive optimal control of unknown nonlinear systems with different time scales
Probabilistic neural computing with advanced nanoscale MOSFETs
Watermarking via Gaussian noise modulation in diffusion models
A self-adaptive gradient descent search algorithm for fully-connected neural networks
Knowledge representation and management based on an ontological CBR system for dementia caregiving
The stablespec package for causal discovery on cross-sectional and longitudinal data in R
Steganalysis on Internet images via domain adaptive classifier
A high performance neural network model for solving chance constrained optimization problems
Variable admittance control via Reinforcement Learning: Enhancing UAV interactions across diverse platforms
Supporting theoretically-grounded model building in the social sciences through interactive visualisation
A super resolution method based on generative adversarial networks with quantum feature enhancement: Application to aerial agricultural images
Rapid acquisition using a neural network in DS/SS communication systems
Densely connected convolutional extreme learning machine for hyperspectral image classification
Fault detection and identification of rolling element bearings with Attentive Dense CNN
Siamese capsule networks with global and local features for text classification
Adaptive modeling of systems with uncertain dynamics via continuous long-short term memories
Boosting by weighting critical and erroneous samples
Evolving processing speed asymmetries and hemispheric interactions in a neural network model
Multistability of delayed neural networks with monotonically nondecreasing linear activation function
Efficient hardware architecture based on generalized Hebbian algorithm for texture classification
On the distribution of the roots of a fifth degree exponential polynomial with application to a delayed neural network model
Efficient early exit single object tracking via general distribution
Design and basic blocks of a neuromorphic VLSI analogue vision system
Kernel subclass convex hull sample selection method for SVM on face recognition
Interactions Guided Generative Adversarial Network for unsupervised image captioning
Outlier exposure with confidence control for out-of-distribution detection
Rules extraction from constructively trained neural networks based on genetic algorithms
Single-client GAN-based backdoor attacks for Asynchronous Federated Learning
Beyond semantic attributes: Auxiliary feature discovery for image classification
Co-regularized multi-view sparse reconstruction embedding for dimension reduction
MGCFDN: Image copy-move forgery detection method based on multi-granularity feature consistency
Adaptive PI control for H∞ synchronization of multiple delayed coupled neural networks
On synchronization criterion for coupled discrete-time neural networks with interval time-varying delays
Global Correlative Network for Person re-identification
Robust stability analysis for discrete-time genetic regulatory networks with probabilistic time delays
Domain-agnostic single-image super-resolution via a meta-transfer neural architecture search
Special issue: Advances in learning schemes for function approximation
Stability analysis of stochastic neural networks with Markovian jump parameters using delay-partitioning approach
Particle swarm optimization assisted B-spline neural network based predistorter design to enable transmit precoding for nonlinear MIMO downlink
iShapeInst: A novel and effective instance segmentation for irregularly shaped objects
Fractional-order controllability of multi-agent systems with time-delay
Nonparametric small random networks for graph-structured pattern recognition
A BFGS-ICA algorithm and application in localization of brain activities
Semantic and style based multiple reference learning for artistic and general image aesthetic assessment
A new sense-through-foliage target recognition method based on hybrid differential evolution and self-adaptive particle swarm optimization-based support vector machine
Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior
Multiple model iterative learning control
Annotation-retrieval reinforcement by visual cognition modeling on manifold
Stability criterion of complex-valued neural networks with both leakage delay and time-varying delays on time scales
ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning
Multi-granularity feature learning network for deep hashing
Fusion-restoration model for industrial multimodal anomaly detection
Multidimensional relation learning for hyperspectral image classification
Structure preservation and distribution alignment in discriminative transfer subspace learning
EHGFL: Contrastive distillation for efficient heterogeneous graph few-shot learning
Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors
Adaptive event-triggered communication scheme for networked control systems with randomly occurring nonlinearities and uncertainties
A new neural network for l 1 -norm programming
Generating images from audio under semantic consistency
Deep Learning for Weakly-Supervised Object Detection and Localization: A Survey
Alpha divergence minimization in multi-class Gaussian process classification
L2,1-norm regularized quaternion matrix completion using sparse representation and approximate QSVD
Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis
Treating stochasticity of olive-fruit fly's outbreaks via machine learning algorithms
A linear approach for sparse coding by a two-layer neural network
Semi-supervised anatomical landmark detection via shape-regulated self-training
Supervised hashing with adaptive discrete optimization for multimedia retrieval
Model-free based neural network control with time-delay estimation for lower extremity exoskeleton
JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification
A neural mechanism for human language processing
Convergence of gradient method with penalty for Ridge Polynomial neural network
Feature selection in machine learning: A new perspective
FASTA-ELM: A fast adaptive shrinkage/thresholding algorithm for extreme learning machine and its application to gender recognition
Neural-network-based tracking Control for a Class of time-delay nonlinear systems with unmodeled dynamics
Enclosing control of hybrid multi-agent systems
Finite-time synchronization of fully complex-valued neural networks with fractional-order
Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-network
The best-so-far ABC with multiple patrilines for clustering problems
Emotion categorization from facial expressions: A review of datasets, methods, and research directions
Evolved neural network ensemble by multiple heterogeneous swarm intelligence
Serotonergic modulation of the cerebellar granule cell network
Gain modulation of recurrent networks
A learning-automata-based controller for client/server systems
MARA: A deep learning based framework for multilayer graph simplification
Fisher's linear discriminant embedded metric learning
Fuzzy adaptive output feedback DSC design for SISO nonlinear stochastic systems with unknown control directions and dead-zones
Computing invariants of Tchebichef moments for shape based image retrieval
Spatial pyramid deep hashing for large-scale image retrieval
Adaptive predefined-time H∞ optimal control for nonlinear multiagent systems on the basis of approximate prescribed performance and event-triggered
Towards embedding information diffusion data for understanding big dynamic networks
Adaptive prototype memory with incremental updates for few-shot image classification
Laparoscopic image enhancement based on distributed retinex optimization with refined information fusion
A new robust output tracking control for discrete-time switched constrained-input systems with uncertainty via a critic-only iteration learning method
A novel approach of lung segmentation on chest CT images using graph cuts
Unsupervised adaptive hashing based on feature clustering
Lag consensus of the second-order leader-following multi-agent systems with nonlinear dynamics
RA2Net: Rotated alignment and aggregation network for oriented object detection in aerial images
The prior probability in the batch classification of imbalanced data streams
Attention-based global and local spatial-temporal graph convolutional network for vehicle emission prediction
Low-rank kernel consistent multi-view subspace clustering
Effects of stimulus transformations on estimated functional properties of mechanosensory neurons
Hybrid hyperplane gradient learning algorithm for RBF neural network
A particle swarm optimization using local stochastic search and enhancing diversity for continuous optimization
A hybrid learning for neural networks applied to short term load forecasting
Perturb more, trap more: Understanding behaviors of graph neural networks
M2N: Mutual constraint network for multi-level unsupervised domain adaptation
A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor
Efficient kNN classification algorithm for big data
AEVRNet: Adaptive exploration network with variance reduced optimization for visual tracking
A new greedy algorithm for sparse recovery
Noise enhancement of signal transduction by parallel arrays of nonlinear neurons with threshold and saturation
MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis
Local averaging optimization for chaotic time series prediction
Context-sensitive zero-shot semantic segmentation model based on meta-learning
A neural collaborative filtering method for identifying miRNA-disease associations
A Gaussian mixture framework for incremental nonparametric regression with topology learning neural networks
Federated dynamic graph neural network for cross-modal organizational real-time community detection
A new hybrid artificial neural networks for rainfall-runoff process modeling
Approximation capability of two hidden layer feedforward neural networks with fixed weights
Mean square exponential stability and periodic solutions of stochastic interval neural networks with mixed time delays
Identification-oriented robust finite memory fault detection filter design for networked industrial process with fading channel communication
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network
Functional roles of receptive field structures in the perception of orientation
A center-anchored adaptive hierarchical graph neural network with application in structure-aware recognition of enzyme catalytic specificity
Audio feature enhancement based on quaternion filtering and deep hashing
Distributed efficient localization in swarm robotic systems using swarm intelligence algorithms
Aspect-based sentiment classification with multi-attention network
Admissibility analysis of interval type-2 uncertain stochastic descriptor systems
Robust ECG signal classification using spiking neural networks with axonal delays
BFMNet: Bilateral feature fusion network with multi-scale context aggregation for real-time semantic segmentation
Fuzzy entity alignment via knowledge embedding with awareness of uncertainty measure
MFRep: Joint user and employer alignment across heterogeneous social networks
Semi-supervised dimensionality reduction for analyzing high-dimensional data with constraints
Parallel Hopfield machine
Deep learning for human activity recognition
A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data
Data modeling for quality prediction using improved orthogonal incremental random vector functional-link networks
Distributed cooperative tracking of uncertain nonlinear multi-agent systems with fast learning
Melt index prediction by fuzzy functions with dynamic fuzzy neural networks
DSM-CLIP: A framework designed for hard negative sampling in generalizable person re-identification
New results on the general decay synchronization of delayed neural networks with general activation functions
Syntactically-informed word representations from graph neural network
Variants of recurrent learning vector quantization
Implementing robust neuromodulation in neuromorphic circuits
Semi-supervised few-shot learning using Critical-Descriptor Prototypes
An incremental feature selection approach for dynamic feature variation
Perceptual image hashing based on frequency dominant neighborhood structure applied to Tor domains recognition
Robust fuzzy observer-based fault detection for nonlinear systems with disturbances
Reinforcement learning for few-shot text generation adaptation
Discriminative clustering
Algorithms for speedy visual recognition and classification of patterns formed on rectangular imaging sensors
An incipient fault detection system based on the probabilistic radial basis function network: Application to the diagnosis of the condenser of a coal power plant
A neurology-inspired model of web usage
S2R-CMI: A Robust Deep Reinforcement Learning method based on counterfactual estimation and state importance evaluation under additive noise disturbance
SAR complex image data compression based on quadtree and zerotree Coding in Discrete Wavelet Transform Domain: A Comparative Study
Modeling temporal combination selective neurons of the songbird
Using self-organizing fuzzy network with support vector learning for face detection in color images