yusuke1997/dblp-id-title huggingface dataset:
ProLFA: Representative prototype selection for local feature aggregation
Estimating multilateral trade behaviors on the world trade web with limited information
Adaptive multi-scale Graph Neural Architecture Search framework
Task context transformer and GCN for few-shot learning of cross-domain
Computational modelling of salamander retinal ganglion cells using machine learning approaches
Using sub-sampling and ensemble clustering techniques to improve performance of imbalanced classification
Maximum-margin sparse coding
Finger vein recognition based on zone-based minutia matching
Nonlinear identification of aircraft gas-turbine dynamics
Exemplar-based image saliency and co-saliency detection
Neural networks for solving least absolute and related problems
Decoupled gradient harmonized detector for partial annotation: Application to signet ring cell detection
Automatic method for glaucoma diagnosis using a three-dimensional convoluted neural network
Novel approximations for inference in nonlinear dynamical systems using expectation propagation
Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images
Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities)
Weighted parallel decoupled feature pyramid network for object detection
Visual content-enhanced sequential recommendation with feature-level attention
Multi-focus image fusion algorithm based on focused region extraction
Dual-label guided unrestricted target attack with diffusion model
Multi-label classification by exploiting local positive and negative pairwise label correlation
A fast binary encoding mechanism for approximate nearest neighbor search
Optimal switching between controlled subsystems with free mode sequence
Performance evaluation of local descriptors and distance measures on benchmarks and first-person-view videos for face identification
DGSAN: Discrete generative self-adversarial network
Common mechanisms govern the development of intra- and inter-hemispherical connections in visual cortex
N3-CPL: Neuroplasticity-based neuromorphic network cell proliferation learning
SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring
AMT-Net: Attention-based multi-task network for scene depth and semantics prediction in assistive navigation
Few-shot learning framework based on classifier and domain adaptive alignment for hyperspectral classification
Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals
Hierarchical convolutional neural network via hierarchical cluster validity based visual tree learning
Content-aware rate control scheme for HEVC based on static and dynamic saliency detection
Dual-attention enhanced variational encoding for interpretable remaining useful life prediction
Salient instance segmentation with region and box-level annotations
Automatic medical image annotation and retrieval
Sparse geometric features for visual detection and estimation
Sparse algorithm for robust LSSVM in primal space
Stochastic intervention for causal inference via reinforcement learning
Stabilization and speedup of convergence in training feedforward neural networks
RealSinger: Ultra-realistic singing voice generation via stochastic differential equations
General value iteration based reinforcement learning for solving optimal tracking control problem of continuous-time affine nonlinear systems
Deep multi-metric learning for text-independent speaker verification
Connectional characteristics of areas in Walker's map of primate prefrontal cortex
Improving NeuCube spiking neural network for EEG-based pattern recognition using transfer learning
Manifold embedding for shape analysis
A recurrent video quality enhancement framework with multi-granularity frame-fusion and frame difference based attention
An effective unconstrained correlation filter and its kernelization for face recognition
Attack isolation and location for a complex network cyber-physical system via zonotope theory
Predicting gene expression from genome wide protein binding profiles
MAFNet: A Multi-scale Aligned Fusion Network for infrared small target detection
Adaptive multi-model sliding mode control of robotic manipulators using soft computing
A comprehensive survey for Hyperspectral Image Classification: The evolution from conventional to transformers and Mamba models
Event-based adaptive formation and tracking control with predetermined performance for nonlinear multi-agent systems
Synthesis linear classifier based analysis dictionary learning for pattern classification
DeepFish: Accurate underwater live fish recognition with a deep architecture
Exploiting global rarity, local contrast and central bias for salient region learning
Unsupervised stereoscopic image retargeting via view synthesis and stereo cycle consistency losses
Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings
A novel random fast multi-label deep forest classification algorithm
Cycle pixel difference network for crisp edge detection
Aggregating diverse deep attention networks for large-scale plant species identification
Large margin metric learning for multi-view vehicle re-identification
Examining and mitigating gender bias in text emotion detection task
Improved exponential stability criteria for time-varying delayed neural networks
Linear manifold topographic map formation based on an energy function with on-line adaptation rules
Synchronization in an array of nonidentical neural networks with leakage delays and impulsive coupling
Change detection with various combinations of fluid pyramid integration networks
History-Driven Particle Swarm Optimization in dynamic and uncertain environments
Real-time stereo matching with enhanced geometric comprehension through cross-attention integration
Observer-based H∞ sliding mode control for networked systems subject to communication channel fading and randomly varying nonlinearities
Robot learning system based on dynamic movement primitives and neural network
Locality sensitive C-means clustering algorithms
Localizing salient body motion in multi-person scenes using convolutional neural networks
Localization of brain activity - blind separation for fMRI data
A novel online performance evaluation strategy to analog circuit
Two-step scalable spectral clustering algorithm using landmarks and probability density estimation
Forward and backward input variable selection for polynomial echo state networks
A comprehensive survey on contrastive learning
A two-stage framework for early failure detection in predictive maintenance: A case study on metro trains
Consensus transformation for multi-agent systems with topology variances and time-varying delays
A more efficient deterministic annealing neural network algorithm for the max-bisection problem
Hierarchical support vector machine based structural classification with fused hierarchies
Postsynaptic current analysis of a model prefrontal cortical circuit for multi-target spatial working memory
Robust passivity analysis of neural networks with discrete and distributed delays
State estimation for complex networks with randomly occurring coupling delays
Stability and bifurcation analysis of a six-neuron BAM neural network model with discrete delays
Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms
Effective image restoration for semantic segmentation
Hopf bifurcation and spatio-temporal patterns in a hierarchical network with delays and Z 2 × Z n symmetry
Perceptron training algorithms designed using discrete-time control Liapunov functions
Passivity analysis of stochastic neural networks with leakage delay and Markovian jumping parameters
SOH estimation of lithium-ion batteries subject to partly missing data: A Kolmogorov-Arnold-Linformer model
Incremental on-line learning: A review and comparison of state of the art algorithms
Memristive DeepLab: A hardware friendly deep CNN for semantic segmentation
Stochastic stability criterion of neutral-type neural networks with additive time-varying delay and uncertain semi-Markov jump
MSSFN: A multi-scale sequence fusion network for CT-based diagnosis of pulmonary complications
Input-to-state stability of discrete-time memristive neural networks with two delay components
Sentiment-Enhanced Triplet Region Detection Framework for aspect sentiment triplet extraction
Advances in deep neural information processing
An adaptive fault diagnosis framework with limited fault data for nonstationary processes
Some remarks on activation function design in complex extreme learning using Schwarz lemma
Event-trigger-based robust control for nonlinear constrained-input systems using reinforcement learning method
Saliency detection via affinity graph learning and weighted manifold ranking
From action to activity: Sensor-based activity recognition
Energy futures prices forecasting by novel DPFWR neural network and DS-CID evaluation
An estimation of the domain of attraction for recurrent neural networks with time-varying delays
Adaptation-induced suppression and facilitation: Effect of intra- and extracellular ionic disturbances
A new imaging model of Lytro light field camera and its calibration
Reward shaping via expectation maximization method
A structured perspective of volumes on active learning
Age estimation via attribute-region association
Domain adaptation of object detector using scissor-like networks
Control of fed-batch bioreactors by a hybrid on-line optimal control strategy and neural network estimator
New delay-dependent exponential stability criteria for neural networks with discrete and distributed time-varying delays
Prescribed performance fixed-time recurrent neural network control for uncertain nonlinear systems
Consensus of time-delay stochastic multiagent systems with impulsive behavior and exogenous disturbances
Diffusion Maps for dimensionality reduction and visualization of meteorological data
SMAR: Summary-Aware Multi-Aspect Recommendation
First/second-order norm-based gradient neural networks for dynamic linear matrix equation
A weighted auto regressive LSTM based approach for chemical processes modeling
Self-representation and Class-Specificity Distribution Based Multi-View Clustering
Segmentation of textures defined on flat vs. layered surfaces using neural networks: Comparison of 2D vs. 3D representations
A hybrid backtracking search optimization algorithm for nonlinear optimal control problems with complex dynamic constraints
Model-based robust fault detection and isolation of an industrial gas turbine prototype using soft computing techniques
A memory failure computational model in Alzheimer-like disease via continuous delayed Hopfield network with Lurie control system based healing
Multiple kernel learning based on three discriminant features for a P300 speller BCI
Kinship verification from facial images by scalable similarity fusion
Practical consensus tracking control for networked Euler-Lagrange systems based on UDE integrated with RBF neural network
A graph-based approach to automated EUS image layer segmentation and abnormal region detection
Modeling and optimization of trajectory deviation for compound directional drilling in coal mines
Parameter estimation of fuzzy neural network controller based on a modified differential evolution
Optimizing spatial spectral patterns jointly with channel configuration for brain-computer interface
Mean-square exponential input-to-state stability of stochastic recurrent neural networks with multi-proportional delays
Matching biomedical ontologies through Compact Differential Evolution algorithm with compact adaption schemes on control parameters
Extended dissipativity of semi-Markov jump neural networks with partly unknown transition rates
Multiple perspective attention based on double BiLSTM for aspect and sentiment pair extract
Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images
Multi-layer segmentation of retina OCT images via advanced U-net architecture
Auxiliary learning for crowd counting via count-net
Position-aware context attention for session-based recommendation
Adversarial attacks and defenses in deep learning for image recognition: A survey
Pedestrian detection based on gradient and texture feature integration
Person verification and recognition by combining voice signal and online handwritten signature using hyperbolic function based transformer neural network
Neural networks stabilization and disturbance attenuation for nonlinear switched impulsive systems
Synchronization analysis for fractional non-autonomous neural networks by a Halanay inequality
Survey of continuous deep learning methods and techniques used for incremental learning
Moving object recognition by a shape-based neural fuzzy network
Non-stationary analysis of extracellular neural activity
Robust H ∞ control for T-S fuzzy systems subject to missing measurements with uncertain missing probabilities
Haze removal method for natural restoration of images with sky
SCR: A completion-then-reasoning framework for multi-hop question answering over incomplete knowledge graph
Intuitionistic fuzzy generalized eigenvalue proximal support vector machine
MiLDA: A graph embedding approach to multi-view face recognition
Learning sufficient scene representation for unsupervised cross-modal retrieval
Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence
Goal-driven, neurobiological-inspired convolutional neural network models of human spatial hearing
Blind image super-resolution based on prior correction network
Efficient video segment matching for detecting temporal-based video copies
Hypergraph network with multi-granularity temporal representation for traffic accident prediction
A Lagrangian augmented Hopfield network for mixed integer non-linear programming problems
Parallel extended state observer based control for uncertain nonlinear systems
Ear recognition based on uncorrelated local Fisher discriminant analysis
Deep balanced discrete hashing for image retrieval
Monitoring pollutant emissions in a 4.8 MW power plant through neural network
A light-weight deep learning framework for Low Light Image Enhancement
Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization
Analysis of fMRI data based on sparsity of source components in signal dictionary
The model of a neural network visual preprocessor
Including a second inward conductance in Morris and Lecar dynamics
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis
ODTL: An Optimal Deep Transfer Learning model for brain tumor classification
Double-activation neural network for solving parabolic equations with time delay
An integrated multi-attribute graph sequence clustering with fuzzy information granule and knowledge-guidance
Non-fragile synchronization of dynamical networks with randomly occurring nonlinearities and controller gain fluctuations
CSPANet: cross-route statistical partition attention network for style transfer
Self-organisation can generate the discontinuities in the somatosensory map
Abrupt stall detection for axial compressors with non-uniform inflow via deterministic learning
Enhancing color selectivity in foundation models for downstream color vision tasks
Null space discriminant locality preserving projections for face recognition
User identification based on the topology consistency of cross-layer common neighbors in social network
Adaptive neural flight control for an aircraft with time-varying distributed delays
Automated measurement of spectral sensitivity of motion vision during optokinetic behavior
Synchronization analysis of coupled identical linear systems with antagonistic interactions and time-varying topologies
Global Lagrange stability for inertial neural networks with mixed time-varying delays
Passivity analysis of fractional-order neural networks with interval parameter uncertainties via an interval matrix polytope approach
A lightweight propagation path aggregating network with neural topic model for rumor detection
Adaptive fuzzy output feedback control of MIMO nonlinear uncertain systems with time-varying delays and unknown backlash-like hysteresis
A general solution to blind inverse problems for sparse input signals
Neural-network-based learning algorithms for cooperative games of discrete-time multi-player systems with control constraints via adaptive dynamic programming
Gaussian kernel-based fuzzy inference systems for high dimensional regression
E2LSH based multiple kernel approach for object detection
PDFOS: PDF estimation based over-sampling for imbalanced two-class problems
Sorted graph neural network for robust node classification on heterophilic graphs
Quick noise-tolerant learning in a multi-layer memristive neural network
Neural net approach for blind separation of sources based on geometric properties
Point process analysis in brain networks of patients with diabetes
Utterance-focusing multiway-matching network for dialogue-based multiple-choice machine reading comprehension
Heterogeneous multi-agent reinforcement learning for zero-shot scalable collaboration
An explainable recommendation algorithm based on content summarization and linear attention
Noisy low-tubal-rank tensor completion
Synchronization for switched neural networks via variable sampled-data control method
PriFLRC: A secure multi-party computation-based privacy-enhanced federated learning scheme resilient to collusion
Online learning for non-convex penalized support vector machine with convolution smoothing
A new Learning Automata based approach for online tracking of event patterns
Delay-dependent distributed event-triggered tracking control for multi-agent systems with input time delay
A new method for detecting brain activities from fMRI dataset
Robust classifier learning with fuzzy class labels for large-margin support vector machines
Adaptive dynamic programming-based design of integrated neural network structure for cooperative control of multiple MIMO nonlinear systems
Construct informative triplet with two-stage hard-sample generation
Neighborhood contrastive representation learning for attributed graph clustering
Discovering biological patterns from short time-series gene expression profiles with integrating PPI data
Mirror neuron framework yields representations for robot interaction
Discriminant sparse and collaborative preserving embedding for bearing fault diagnosis
Efficient karaoke song recommendation via multiple kernel learning approximation
Sequence memory with dynamical synapses
Video object segmentation based on multi-level target models and feature integration
On-line learning applied to spiking neural network for antilock braking systems
Dissipativity analysis for discrete-time fuzzy neural networks with leakage and time-varying delays
Memo-UNet: Leveraging historical information for enhanced wave height prediction
Texture classification using fuzzy uncertainty texture spectrum
Rainfall estimation using artificial neural network group
CIPCA: Complete-Information-based Principal Component Analysis for interval-valued data
Guest editorial: Special issue on brain inspired models of cognitive memory
Sparse preserving feature weights learning
Statistical implications of clipped Hebbian learning of cell assemblies
Video super-resolution via dense non-local spatial-temporal convolutional network
Optimal periodic DoS attack with energy harvester in cyber-physical systems
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition
TopoRRG: A knowledge graph completion model combining entity topological feature augmentation and relation-relation graph modeling
State estimation and input-to-state stability of impulsive stochastic BAM neural networks with mixed delays
Sample selection-based hierarchical extreme learning machine
Margin & diversity based ordering ensemble pruning
New H∞ controller for neural networks subject to time-varying delay by state estimation based approach
Regularized locality preserving discriminant embedding for face recognition
Physics-informed neural network algorithm for solving forward and inverse problems of variable-order space-fractional advection-diffusion equations
Cluster-based Weighted Oversampling for Ordinal Regression (CWOS-Ord)
Optimal control laws for time-delay systems with saturating actuators based on heuristic dynamic programming
Mining predicate-based entailment rules using deep contextual architecture
Kernel orthogonal Procrustes regression for face recognition across pose
DETrack: Depth information is predictable for tracking
Approximation techniques for clustering dissimilarity data
Hierarchical dynamical models of motor function
Global asymptotic synchronization of nonidentical fractional-order neural networks
Scattering moment matching-based interpretable domain adaptation for transfer diagnostic tasks
Input-to-state stability of stochastic complex networks based on aperiodically intermittent sampled control
Unsupervised connectionist algorithms for clustering an environmental data set: A comparison
Video smoke separation and detection via sparse representation
HSACT: A hierarchical semantic-aware CNN-Transformer for remote sensing image spectral super-resolution
DistilXIDS: Efficient, lightweight and explainable transformer-based language model for real-time network intrusion detection
Deep learning for processing electromyographic signals: A taxonomy-based survey
Synchronization opponent systems: Attractor basin transient statistics as a population code for object representation
Face recognition with enhanced local directional patterns
Ratio rule and homomorphic filter for enhancement of digital colour image
Deep Neural Networks approaches for detecting and classifying colorectal polyps
Prediction-based Unobstructed Route Planning
Characterising complexity by the degrees of freedom in a radial basis function network
A lightweight multi-scale channel attention network for image super-resolution
A total variation based nonrigid image registration by combining parametric and non-parametric transformation models
Contrasting rules for synaptogenesis, modification of existing synapses, and synaptic removal as a function of neuronal computation
A dynamic decoder with speculative termination for low latency inference in spiking neural networks
Two-phase hybrid explainable machine learning model in the early diagnosis of motor and non-motor symptoms of Parkinson's disease
A Compact Recursive Dense Convolutional Network for image classification
Spatially correlated nonnegative matrix factorization
Towards realistic and effective Agent-based models of crowd dynamics
Unsupervised document summarization from data reconstruction perspective
Continuous state/action reinforcement learning: A growing self-organizing map approach
A new nonlocal means based framework for mixed noise removal
A bioinspired model to motivate learning of appetitive signals' incentive value under a Pavlovian conditioning approach
Contrastive coarse-to-fine medical segmentation with prototype guidance and dual-granularity fusion
A spiking convolutional neural network for glioma brain tumor segmentation using a spike-timing-dependent plasticity method
A dual-prototype network combining query-specific and class-specific attentive learning for few-shot action recognition
Leader-following consensus of delayed multi-agent systems with aperiodically intermittent communications
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis
Synchronization of switched complex dynamical networks with impulses : state-dependent switching approach
Intelligent detection and behavior tracking under ammonia nitrogen stress
Biased subspace learning for misalignment-robust facial expression recognition
Multi-view transfer learning with privileged learning framework
Partial Lanczos extreme learning machine for single-output regression problems