yusuke1997/dblp-id-title huggingface dataset:
Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems
Multimodal media data understanding and analysis
Evaluation of state-of-the-art neural network customized hardware
Multi-embedding space set-kernel and its application to multi-instance learning
Signal processing by means of noise
A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production
Novel global exponential stability results for a class of two-coupled-hub nonlinear genetic regulatory networks with time-varying delays
TimNet: A text-image matching network integrating multi-stage feature extraction with multi-scale metrics
Periocular embedding learning with consistent knowledge distillation from face
Efficiency of deep networks for radially symmetric functions
A spatially constrained shifted asymmetric Laplace mixture model for the grayscale image segmentation
Intelligent decision support to determine the best sensory guardrail locations
Extracting answers from causal mechanisms in a medical document
Echo sound detection in the inferior colliculus for human echolocation
Online adaptive optimal control algorithm based on synchronous integral reinforcement learning with explorations
Model predictive flight control using adaptive support vector regression
RotatQ: Knowledge graph embedding based on quaternion unit
Building partially understandable convolutional neural networks by differentiating class-related neural nodes
The ground state of cortical feed-forward networks
A method for detecting high-frequency oscillations using semi-supervised k-means and mean shift clustering
Sea surface height data reconstruction via inter and intra layer features based on dual attention
Existence of exponential periodic attractor of BAM neural networks with time-varying delays and impulses
An approach for constructing parsimonious generalized Gaussian kernel regression models
Semi-supervised classification learning by discrimination-aware manifold regularization
Simple sample bound for feedforward sigmoid networks with bounded weights
Graph neural architecture for dynamic hybrid flowshop: Addressing stochastic events and uncertain processing sequences
Relational mining for discovering changes in evolving networks
Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections
Learning edge-preserved image stitching from multi-scale deep homography
Relation-based global-partial feature learning network for video-based person re-identification
Occluded facial expression recognition algorithm integrating logical reasoning on small-sample datasets
Commonalities-, specificities-, and dependencies-enhanced multi-task learning network for judicial decision prediction
Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy
Routing optimization meets Machine Intelligence: A perspective for the future network
Consensus of nonlinear multiagent systems under periodic scaling attacks with input delays via truncated prediction approach
Structure learning by pruning in independent component analysis
Hippocampal theta rhythm and running speed: A reconsideration using within-single trial analysis
Spatial relationship recognition via heterogeneous representation: A review
Combining pixel-level and patch-level information for segmentation
DualNet: A dual-path network with adaptive compensation for multivariate time series forecasting
Watch fashion shows to tell clothing attributes
Camera location for real-time traffic state estimation in urban road network using big GPS data
Hopfield-Tank neural net: Walsh to Fourier transform
A hybrid LDA and genetic algorithm for gene selection and classification of microarray data
Average consensus of multi-agent systems with self-triggered controllers
Attracting and quasi-invariant sets of non-autonomous neural networks with delays
Neural networks-based adaptive dynamic surface control for vehicle active suspension systems with time-varying displacement constraints
Frequency-domain keyframe interpolation denoising for text and image-guided video editing acceleration with diffusion models
Toward reliable model for prediction Drilling Fluid Density at wellbore conditions: A LSSVM model
A note on "solving arithmetic problems using feed-forward neural networks"
Swarming of heterogeneous multi-agent systems with periodically intermittent control
A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT
Lightweight spiking neural network training based on spike timing dependent backpropagation
Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy
Fine-grained grading network based on sparse transformer and spectral attention for multiparametric MR image segmentation
A max-piecewise-linear neural network for function approximation
Multi-population evolutionary neural architecture search with stacked generalization
The use of reinforcement learning algorithms in object tracking: A systematic literature review
A granular computing-based approach to credit scoring modeling
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
Study and evaluation of a multi-class SVM classifier using diminishing learning technique
Searching for an IT model with columnar organization
A novel robust model fitting approach towards multiple-structure data segmentation
Variable selection using neural-network models
Analysis of high-dimensional data using local input space histograms
Least auxiliary loss-functions with impact growth adaptation (Laliga) for convolutional neural networks
Discover learning path for group users: A profile-based approach
Local up-sampling and morphological analysis of low-resolution magnetic resonance images
Adaptive neuro-fuzzy algorithm to estimate effective wind speed and optimal rotor speed for variable-speed wind turbine
Robust tracking control of uncertain nonlinear systems with adaptive dynamic programming
Using cooperative game theory to optimize the feature selection problem
Research of uniformity evaluation model based on entropy clustering in the microwave heating processes
Local iterative DLT soft-computing vs. interval-valued stereo calibration and triangulation with uncertainty bounding in 3D reconstruction
Class-prior probability estimation using density ratio between unlabeled instances and positively labeled noisy instances
RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition
AdaPAC: Prototypical anchored contrastive test time adaptation for domain generalization
Multi-view clustering based on pairwise co-regularization and robust dual graph non-negative matrix factorization
An improved multi-population ensemble differential evolution
3DGeoMeshNet: A multi-scale graph auto-encoder for 3D mesh reconstruction and completion
Bilinear Self-Representation for Unsupervised Feature Selection with Structure Learning
Extended dissipativity state estimation for switched discrete-time complex dynamical networks with multiple communication channels: A sojourn probability dependent approach
A comparative study on optical flow for facial expression analysis
Stitching contaminated images
Fast and effective optic disk localization based on convolutional neural network
Activity-dependent neuron model for noise resistance
MFEA-Net: A pixel-adaptive multigrid finite element analysis neural network for efficient material response prediction
Sample-pair learning network for extremely imbalanced classification
Leader learning loss function in neural network classification
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection
Enhancing representation learning by exploiting effective receptive fields for object detection
Finite-time synchronization of switched neural networks with state-dependent switching via intermittent control
Adaptive multi-channel Bayesian Graph Neural Network
Robust stochastic block model
Dynamic differential privacy-based dataset condensation
On stability of disturbed Hopfield neural networks with time delays
Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map
A training algorithm for classification of high-dimensional data
A multiple kernel framework for inductive semi-supervised SVM learning
SRPM-ST: Sequential retraining and pseudo-labeling in mini-batches for self-training
Video anomaly detection based on spatio-temporal relationships among objects
Memristor-based multilayer neural network with edge learning and weight update
Fusion of learning automata theory and granular inference systems: ANLAGIS. Applications to pattern recognition and machine learning
Parametric Probabilistic Quantum Memory
Inductive neural logic network and the SCM algorithm
Sampled-data state estimation for genetic regulatory networks with time-varying delays
Using gravitational search algorithm in prototype generation for nearest neighbor classification
Stability analysis of memristor-based time-delay fractional-order neural networks
Pattern recognition through compatibility of excitatory and inhibitory rhythms
Capturing combination patterns of long- and short-term dependencies in multivariate time series forecasting
Label propagation based on local information with adaptive determination of number and degree of neighbor's similarity
Dynamic attention priors: a new and efficient concept for improving object detection
Gaussian moments for noisy unifying model
Hybrid quantum-inspired resnet and densenet for pattern recognition
Pinning control for passivity and synchronization of coupled memristive reaction-diffusion neural networks with time-varying delay
Modeling enabling learning of social interaction based on an adaptive temporal-causal network model
An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia
Gradient-aware blind face inpainting for deep face verification
DC programming and DCA for sparse optimal scoring problem
Learning from multiple inconsistent and dependent annotators to support classification tasks
Intelligent Computing for Sustainable Energy and Environment (ICSEE 2012)
DiM: Improving multivariate time series forecasting with DI embedding and multi-head graph learning mechanism
Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation
Farewell to CycleGAN: Single GAN with decoupled constraint for unpaired image dehazing
One-shot handwriting imitation via self-supervised cross spatial transformer networks
On the possible use of ICA to identify synaptic inputs from observations of several neurons
Event-triggered H ∞ filtering for discrete-time systems over unreliable networks with package dropouts
LMI-based criterion on stochastic ISS property of delayed high-order neural networks with explicit gain functions and simply event-triggered mechanism
Face recognition based on two dimensional locality preserving projections in frequency domain
Penetrating the influence of regularizations on neural network based on information bottleneck theory
Nonlinear noise reduction of chaotic time series based on multidimensional recurrent LS-SVM
Practical fixed-time bipartite containment for uncertain nonlinear multi-agent systems with switching topology and unknown hysteresis
Global exponential stability of neutral-type octonion-valued neural networks with time-varying delays
A novel patch-based nonlinear matrix completion algorithm for image analysis through convolutional neural network
Clustering analysis using manifold kernel concept factorization
Convolutional neural network with median layers for denoising salt-and-pepper contaminations
Robust iterative learning control for discrete-time systems with random initial state shifts
Preassigned-time control for cluster synchronization of multi-layer networks via partial state components
Exposing frame deletion by detecting abrupt changes in video streams
CFNN: Correlated fuzzy neural network
HyperSSR: A hypergraph based semi-supervised ranking method for visual search reranking
Model compression through distillation with cross-layer integrated guidance at word level
Robust stochastic stability of power system with time-varying delay under Gaussian random perturbations
Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network
Kernel reconstruction learning
Face perception foundations for pattern recognition algorithms
Attribute assisted teacher-critical training strategies for image captioning
Chinese Character CAPTCHA Recognition and performance estimation via deep neural network
A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis
An incremental meta-cognitive-based scaffolding fuzzy neural network
Convolutional neural network combined with edge complexity and channel attention mechanism for unsupervised superpixel segmentation
Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation
Learn to focus on objects for visual detection
Module-based multiple feature integration descriptor for image retrieval
Neural networks based approach solving multi-linear systems with M-tensors
DeepDiff: Learning deep difference features on human body parts for person re-identification
Lagrange stability of quaternion-valued neural networks with mixed delays on time scales
Robust state estimation for discrete-time neural networks with mixed time-delays, linear fractional uncertainties and successive packet dropouts
Two-dimensional nearest neighbor discriminant analysis
B-AT-KD: Binary attention map knowledge distillation
Road centerlines extraction from high resolution images based on an improved directional segmentation and road probability
Entropy-weighted reconstruction adversary and curriculum pseudo labeling for domain adaptation in semantic segmentation
Fast hopfield neural networks using subspace projections
Meta-learning-based delayless subband adaptive filter using complex self-attention for active noise control
An ensemble classifier based prediction of G-protein-coupled receptor classes in low homology
Time series analysis using RBF networks with FIR/IIR synapses
Sensor selection schemes for consensus based distributed estimation over energy constrained wireless sensor networks
Chinese Conference on Computer Vision 2017
Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks
Video anomaly detection with multi-scale feature and temporal information fusion
Hybridizing evolutionary computation and reinforcement learning for the design of almost universal controllers for autonomous robots
Robust gamma -filter using support vector machines
Dissipative networked filtering for two-dimensional systems with randomly occurring uncertainties and redundant channels
Hybrid controller using fuzzy neural networks for identification and control of induction servo motor drive
Text-driven human image generation with texture and pose control
MENet: Lightweight multimodality enhancement network for detecting salient objects in RGB-thermal images
Optimization of deep convolutional neural network for large scale image retrieval
Finite-time stochastic boundedness of discrete-time Markovian jump neural networks with boundary transition probabilities and randomly varying nonlinearities
PHiD: Preserving human identity in pose-guided character animation
Bounded activation functions for enhanced training stability of deep neural networks on visual pattern recognition problems
Worst-case convergence analysis of relatively inexact gradient descent on smooth convex functions
Benchmarking the performance of neuromorphic and spiking neural network simulators
A deep top-down framework towards generalisable multi-view pedestrian detection
Minimum control of cluster synchronization effort in diffusion coupled nonlinear networks
DGR-ELM-Distributed Generalized Regularized ELM for classification
Adaptive critic design-based robust neural network control for nonlinear distributed parameter systems with unknown dynamics
The underlying mechanisms of alignment in error backpropagation through arbitrary weights
Multi-stream attentive generative adversarial network for dynamic scene deblurring
Cluster consensus with first and higher-order antagonistic interaction dynamics
JTSG: A joint term-sentiment generator for aspect-based sentiment analysis
Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke
A temporal difference method for multi-objective reinforcement learning
Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram
Mean square exponential stability for discrete-time stochastic switched static neural networks with randomly occurring nonlinearities and stochastic delay
Exact recovery low-rank matrix via transformed affine matrix rank minimization
Design of experiments on neural network's training for nonlinear time series forecasting
A RBFNN approach for DoA estimation of ultra wideband antenna array
A survey on U-shaped networks in medical image segmentations
The effect of weight precision and range on neural network classifier performance
AudioRepInceptionNeXt: A lightweight single-stream architecture for efficient audio recognition
A review of irregular time series data handling with gated recurrent neural networks
Recursive approach to networked fault estimation with packet dropouts and randomly occurring uncertainties
Generalized types of synchronization in networks of spiking neurons
On the use of stochastic estimator learning automata in time division multiple access systems: A methodology
Interaction-based feature selection using Factorial Design
Recurrent neural network model for computing largest and smallest generalized eigenvalue
A basic study on a learning motor vehicle using basic elements for neural computer, continuous-time Folthrets
Learning recurrent neural models with minimal complexity from neural tuning data
Robot skill learning system of multi-space fusion based on dynamic movement primitives and adaptive neural network control
A framework of neural networks based consensus control for multiple robotic manipulators
A real time clustering and SVM based price-volatility prediction for optimal trading strategy
A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks
Learning deep generative models based on binomial log-likelihood
Neural observer-based adaptive prescribed performance control for uncertain nonlinear systems with input saturation
State-dependent impulsive Cohen-Grossberg neural networks with time-varying delays
Transmission of blocked electric pulses in a cable neuron model by using an electric field
Invariant features by self-organization
Fault-tolerant control of a class of switched systems with strong structural uncertainties with application to haptic display systems
Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations
High-fidelity reversible data hiding based on geodesic path and pairwise prediction-error expansion
An Autuencoder-based Data Augmentation Strategy for Generalization Improvement of DCNNs
Possibilistic reward methods for the multi-armed bandit problem
End-to-end video object detection based on dynamic anchor box spatiotemporal decoder and hybrid matching
Joint decision normalizing flow based on frequency separation for industrial anomaly detection and localization
Error-backpropagation in temporally encoded networks of spiking neurons
Solving multi-label text categorization problem using support vector machine approach with membership function
An incremental random walk algorithm for sampling continuous fitness landscapes
gamma-C plane and robustness in static reservoir for nonlinear regression estimation
Discrete ZNN models of Adams-Bashforth (AB) type solving various future problems with motion control of mobile manipulator
Special issue on 2016 International Conference on Intelligence Science and Big Data Engineering
The internal observer and the semantic gap
Saliency detection via multi-level integration and multi-scale fusion neural networks
Optimization of quantum-inspired neural network using memetic algorithm for function approximation and chaotic time series prediction
Rule discovery by soft induction techniques
Model of granular layer encoding in the cerebellum
Training recurrent neural networks to learn lexical encoding and thematic role assignment in parsing Mandarin Chinese sentences
Decentralized output feedback control of interconnected stochastic nonlinear time-delay systems with dynamic interactions
Generating realistic synthetic tabular data with integrated LLM and diffusion models
Semiglobal fixed/preassigned-time synchronization of stochastic neural networks with random delay via adaptive control
Construction method of concept lattice based on improved variable precision rough set
Multi-branch guided attention network for irregular text recognition
Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm
H∞ state estimation for T-S fuzzy reaction-diffusion delayed neural networks with randomly occurring gain uncertainties and semi-Markov jump parameters
Spatial-temporal 3D dependency matching with self-supervised deep learning for monocular visual sensing
Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement
Learning-observer-based fixed-time optimal tracking control for robotic manipulators with full-state constraints
A more compact object detector head network with feature enhancement and relational reasoning
Prior embedding multi-degradations super resolution network
Structural learning in artificial neural networks using sparse optimization
Network-based supervised data classification by using an heuristic of ease of access
AgentBuilder: Automating agent creation via large language model-driven systems
Learning acoustic features to detect Parkinson's disease
EvoDCNN: An evolutionary deep convolutional neural network for image classification
A novel fast image segmentation algorithm for large topographic maps
ANN+GIS: An automated system for property valuation
Modeling implicit variable and latent structure for aspect-based sentiment quadruple extraction
Salient object detection of dairy goats in farm image based on background and foreground priors
The spatial resolution of scalp EEG
The probability density function based neuro-fuzzy model and its application in batch processes
Contextual information cross-feature transformer for image denoising applications
A distributed inference algorithm for Dirichlet process mixture models with exponential family components
Cycle-to-cycle variability as an optimal behavioral strategy
NSA-AE: An inadequately represented immune spaces NSA augmented via autoencoders
Sequential minimal optimization for SVM with pinball loss
On the role of diffusion factors in stability analysis for p-Laplace dynamical equations involved to BAM Cohen-Grossberg neural network
Special issue on advanced intelligent computing theories and methodologies
Effective and scalable causal partitioning based on low-order conditional independent tests
Unified finite-time error analysis of soft Q-learning
A methodology for training set instance selection using mutual information in time series prediction
A functional RNA-based and curvature-aware learning framework for federated optimization
Cross-modal hashing retrieval with compatible triplet representation
Persistent sodium is a better linearizing mechanism than the hyperpolarization-activated current
LabanFormer: Multi-scale graph attention network and transformer with gated recurrent positional encoding for labanotation generation
Multiple linear regression modeling for compositional data