yusuke1997/dblp-id-title huggingface dataset:
OTL-CE : Online transfer learning for data streams with class evolution
Evolutionary multi-objective neural architecture search via depth equalization supernet
GCL: Contrastive learning instead of graph convolution for node classification
Dynamic heterogeneous graph contrastive learning based on multi-prior tasks
Semantic piecewise convolutional neural network with adaptive negative training for distantly supervised relation extraction
A hybrid improved kernel LDA and PNN algorithm for efficient face recognition
Efficient optimally regularized discriminant analysis
Design of UAV target detection network based on deep feature fusion and optimization with small targets in complex contexts
Evolutionary generation of neural network classifiers - An empirical comparison
Efficient training and improved performance of multilayer perceptron in pattern classification
An adaptive neural network approach for ship roll stabilization via fin control
Finite-time boundedness of uncertain time-delayed neural network with Markovian jumping parameters
Sparse coding blind source separation through Powerl
Multi-scale hybrid Mamba-LSTM experts for long-short term human trajectory prediction under CVAE framework
A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition
Trustworthiness neural networks in distributed computing and artificial intelligence
Neuromorphic implementation of motion detection using oscillation interference
Canonical sparse cross-view correlation analysis
Cross-modal deep discriminant analysis
Fisher embedding discriminative multiple-kernel dictionary learning for robust classification of nonlinear data in health monitoring
Continuous and discrete gradient-Zhang neuronet (GZN) with analyses for time-variant overdetermined linear equation system solving as well as mobile localization applications
A survey for table recognition based on deep learning
Annealed Kullback-Leibler divergence minimization for generalized TSP, spot identification and gene sorting
Sensitivity to interstimulus interval due to calcium interactions in the Purkinje cell spines
A computationally efficient 3D/2D registration method based on image gradient direction probability density function
An inexact smoothing-type algorithm for support vector machines
Adaptive contrast gain control and information maximization
A user behavior-aware multi-task learning model for enhanced short video recommendation
Training neural network classifiers on multi-class imbalanced data via competitive coevolution
BEV-CFKT: A LiDAR-camera cross-modality-interaction fusion and knowledge transfer framework with transformer for BEV 3D object detection
A differentially private matrix factorization based on vector perturbation for recommender system
Wilcoxon Rank Sum Test Drift Detector
PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force-displacement curves in T-stub steel connections
A novel SVD and LS-SVM combination algorithm for blind watermarking
AIRec: Attentive intersection model for tag-aware recommendation
Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning
Automated feature selection with a distinction sensitive learning vector quantizer
An optimal transport-guided diffusion framework with mitigating mode mixture
Barrier Lyapunov function-based adaptive fuzzy control for induction motors with iron losses and full state constraints
A novel two-stage wrapper feature selection approach based on greedy search for text sentiment classification
Recurrent convolutional neural network for session-based recommendation
Bayesian approach for parameter estimation of the diagonal of the Modified Riesz Distribution
Analysis of two restart algorithms
Residual-recursive autoencoder for accelerated evolution in savonius wind turbines optimization
Persistent coverage of UAVs based on deep reinforcement learning with wonderful life utility
Local tangent space alignment via nuclear norm regularization for incomplete data
Computer assisted neurophysiological analysis of cell assemblies activity
Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation
Gradient neural network models for approximate Tucker decomposition of time-dependent tensors
Multi-view clustering by joint spectral embedding and spectral rotation
Multinomial Bayesian extreme learning machine for sparse and accurate classification model
D 3 -LND: A two-stream framework with discriminant deep descriptor, linear CMDT and nonlinear KCMDT descriptors for action recognition
Analysis of strategy in robot soccer game
Cumulative link models for deep ordinal classification
Computational Neuroscience: Trends in research 2004
Self-supervised dynamic facial expression recognition with efficient encoding and redundant tokens compression
Approximate anchor-based similarity graph and its applications for large-scale data
Complex wavelet based texture classification
OPELM and OPKNN in long-term prediction of time series using projected input data
Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation
The abnormal delta rhythm mechanism in disorders of consciousness: Intrinsic neuronal properties and network dynamics
Multi-view representation learning from local consistency and global alignment
Human behavior analysis in video surveillance: A Social Signal Processing perspective
Multi-label enhancement based self-supervised deep cross-modal hashing
Active leading through obstacles using ant-colony algorithm
Efficient construction and convergence analysis of sparse convolutional neural networks
Multi-objective optimal control for a class of unknown nonlinear systems based on finite-approximation-error ADP algorithm
Neural network-based stochastic adaptive attitude control for generic hypersonic vehicles with full state constraints
Hierarchical vector transformer vehicle trajectories prediction with diffusion convolutional neural networks
Residual attention graph convolutional network for web services classification
Choosing ℓ p norms in high-dimensional spaces based on hub analysis
RanMerFormer: Randomized vision transformer with token merging for brain tumor classification
A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network
Nonlinear innovation to blind source separation
Learning to collaborate in distributed environments by means of an awareness-based artificial neural network
X-Recon: Learning-based patient-specific high-resolution CT reconstruction from orthogonal X-ray images
Designing of on line intrusion detection system using rough set theory and Q-learning algorithm
Bifurcation control in small-world networks
Neural network modelling for environmental prediction
Context-aware deep kernel networks for image annotation
An experimental comparison of ensemble of classifiers for biometric data
SqSFill : Joint spatial and spectral learning for high-fidelity image inpainting
A joint temporal-spatial ensemble model for short-term traffic prediction
NCLDR: Nearest-Neighbor Contrastive Learning with Dual Correlation Loss for Dimensionality Reduction
Synchronization of neutral complex dynamical networks with Markovian switching based on sampled-data controller
Improving constructive training of RBF networks through selective pruning and model selection
Rough maximal cliques enumeration in incomplete graphs based on partially-known concept learning
Remaining useful life prediction with uncertainty quantification for rotating machinery: A method based on explainable variational deep gaussian process
LSMOTE: A link-based Synthetic Minority Oversampling Technique for binary imbalanced datasets
Robust stability of delayed reaction-diffusion recurrent neural networks with Dirichlet boundary conditions on time scales
Wavelet kernel entropy component analysis with application to industrial process monitoring
VP-NIQE: An opinion-unaware visual perception natural image quality evaluator
Passive state estimator design for Markovian complex networks with polytopic sensor failures
Local structure learning in high resolution remote sensing image retrieval
Modeling hierarchical structure for conversational aspect-based quadruple sentiment analysis
From outliers to prototypes: Ordering data
Quasi-synchronization of heterogeneous complex networks with switching sequentially disconnected topology
Stability and stabilization of T-S fuzzy systems with time delay via Wirtinger-based double integral inequality
New trends in computational intelligence
Deep successor feature learning for text generation
Binding double-head predictor with key context transformer for high performance tracking
A tabu based neural network learning algorithm
A systematic method for rational definition of plant diagnostic symptoms by self-organizing neural networks
A novel time-event-driven algorithm for simulating spiking neural networks based on circular array
Active contour model based on local and global intensity information for medical image segmentation
A novel statistical cerebrovascular segmentation algorithm with particle swarm optimization
Corrigendum to "Adaptive Weighted Fusion: A novel fusion approach for image classification" Neurocomputing, volume 168 (2015), 566-574
Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis
On the investigation of activation functions in gradient neural network for online solving linear matrix equation
Stereo matching based on classification of materials
Symbolic equation solving via reinforcement learning
Exploring multiple evidence to infer users' location in Twitter
A survey of Few-Shot Relation Extraction combining meta-learning with prompt learning
EmoSeC: Emotion recognition from scene context
A necessary and sufficient condition for designing formation of discrete-time multi-agent systems with delay
Fully affine invariant SURF for image matching
On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment
Adaptive neural control of a 3-DOF helicopter with unknown time delay
Robust adaptive decentralized fuzzy control for stochastic large-scale nonlinear systems with dynamical uncertainties
TDCR: Transformer based decision conflict resolution model for collaborative scheduling
Finite-time state estimation for jumping recurrent neural networks with deficient transition probabilities and linear fractional uncertainties
Bioinspired neurodynamics based formation control for unmanned surface vehicles with line-of-sight range and angle constraints
Local Lyapunov exponents of deep echo state networks
Deep robust image deblurring via blur distilling and information comparison in latent space
Practical incremental learning: Striving for better performance-efficiency trade-off
Bridge the semantic gap between pop music acoustic feature and emotion: Build an interpretable model
Application of the mutual information minimization to speaker recognition/identification improvement
Lazy Quantum clustering induced radial basis function networks (LQC-RBFN) with effective centers selection and radii determination
SliceNet: A proficient model for real-time 3D shape-based recognition
Ensemble learning-based approach for improving generalization capability of machine reading comprehension systems
Deep learning ensembles for accurate fog-related low-visibility events forecasting
Batch kernel SOM and related Laplacian methods for social network analysis
Adaptive fuzzy output feedback FTC for nonstrict-feedback systems with sensor faults and dead zone input
Instance-aware global re-detection for precise and efficient long-term visual tracking
Local Partial Least Square classifier in high dimensionality classification
Person image synthesis through siamese generative adversarial network
Robust labeling of human motion markers in the presence of occlusions
A case study on using neural networks to perform technical forecasting of forex
Crossing generative adversarial networks for cross-view person re-identification
Learning dictionary from signals under global sparsity constraint
New robust stability condition for discrete-time recurrent neural networks with time-varying delays and nonlinear perturbations
Asymptotic almost automorphic solutions of impulsive neural network with almost automorphic coefficients
A model of proximity measurement by the teleost nucleus isthmi
A multi-granularity combined prediction model based on fuzzy trend forecasting and particle swarm techniques
Pyramid attention recurrent network using edge maps for self-supervised monocular depth estimation
Simulating the temporal evolution of neuronal discharge
Structural context-based knowledge graph embedding for link prediction
A preliminary geometric structure simplification for Principal Component Analysis
Center-point-pair detection and context-aware re-identification for end-to-end multi-object tracking
Locality constrained representation based classification with spatial pyramid patches
Fluctuation analysis of instantaneous availability under specific distribution
CS4TE: A Novel Coded Self-Attention and Semantic Synergy Network for Triple Extraction
Self-organizing adaptive fuzzy neural control for the synchronization of uncertain chaotic systems with random-varying parameters
A two-stage deep learning model based on feature combination effects
Zeroing neural network methods for solving the Yang-Baxter-like matrix equation
USCRaKE: Unsupervised semantic chunk retrieval and knowledge-enhanced reasoning for multiple-choice question answering
Learning efficient multi-task stereo matching network with richer feature information
Counter-propagation artificial neural network-based motion detection algorithm for static-camera surveillance scenarios
cDNA microarray adaptive segmentation
Event-based consensus control for single-integrator networks with communication time delays
WARP-LCA: Efficient convolutional sparse coding with Locally Competitive Algorithm
Robust adaptive nonlinear observer design via multi-time scales neural network
Symmetrical singular value decomposition representation for pattern recognition
Diffusion-concentration neural system for separating figures from background
The complexity of language recognition by neural networks
Multi-dimensional human action recognition model based on image set and group sparisty
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
STSFF-Net: A two-stream network for depression detection from facial expressions
News videos anchor person detection by shot clustering
K-PRSCAN: A clustering method based on PageRank
A hardware friendly algorithm for action recognition using spatio-temporal motion-field patches
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization
Distributed proportion-integration-derivation formation control for second-order multi-agent systems with communication time delays
Automatic decoding of input sinusoidal signal in a neuron model: Improved SNR spectrum by low-pass homomorphic filtering
Two-level structure swarm formation system with self-organized topology network
High-order tracking problem with a time-varying topology and communication delays
MASSNet: Multiscale Attention for Single-Stage Ship Instance Segmentation
Feature adaptation-based multipeak-redetection spatial-aware correlation filter for object tracking
Collaborative and adversarial deep transfer auto-encoder for intelligent fault diagnosis
RDRF-Net: A pyramid architecture network with residual-based dynamic receptive fields for unsupervised depth estimation
A robust high-resolution remote sensing image hiding network
GDoT: A gated dual domain transformer for enhanced MRI off-resonance correction
Phrase-based image caption generator with hierarchical LSTM network
Asymptotic behavior of free energy when optimal probability distribution is not unique
A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks
A band selection method for airborne hyperspectral image based on chaotic binary coded gravitational search algorithm
Convergence analysis of nonlinear Kalman filters with novel innovation-based method
Differentiating adaptive Neuro-Fuzzy Inference System for accurate function derivative approximation
Incremental event detection via an improved knowledge distillation based model
Refined bounds for online pairwise learning algorithms
Steering approaches to Pareto-optimal multiobjective reinforcement learning
Efficient training of Time Delay Neural Networks for sequential patterns
Domain decomposed classification algorithms based on linear discriminant analysis: An optimality theory and applications
UdpTrace: Utility-enhanced differential privacy scheme for trajectory data publishing
Incremental GRLVQ: Learning relevant features for 3D object recognition
Combining segmental semi-Markov models with neural networks for protein secondary structure prediction
BotLGT: Social bot detection based on LLM and graph transformer
Conduction velocity costs energy
Self-organized 40Hz synchronization in a physiological theory of EEG
The one-against-all partition based binary tree support vector machine algorithms for multi-class classification
Neural networks and learning systems in distributed computing and artificial intelligence
Investigating the performance of multi-objective optimization when learning Bayesian Networks
Synchronization of fractional complex-valued neural networks with pantograph delays and inhibitory factors
Learning-based stabilization of Markov jump linear systems
A fuzzy adaptive tracking control for a class of uncertain strick-feedback nonlinear systems with dead-zone input
A genetic algorithm for the maximum edge-disjoint paths problem
An investigation into creating counterfactual examples for non-linear Support Vector Machines
Deep Adversarial Reinforcement Learning based Incentive Mechanism for Content Delivery in D2D-Enabled Mobile Networks
Comparing neurophysiological measurements of simulated and real brains
A convex formulation for informed source separation in the single channel setting
MSLoRA: Meta-learned scaling for adaptive fine-tuning of LoRA
Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks
Classification of the trained and untrained emitter types based on class probability output networks
Security topics related microblogs search based on deep convolutional neural networks
The role of cortico-basal-thalamic loops in cognition: a computational model and preliminary results
RCEAE: A Role Correlation-enhanced Model for Event Argument Extraction
Combining multi-representation for multimedia event detection using co-training
Identifying social influence in complex networks: A novel conductance eigenvector centrality model
Online fuzzy medoid based clustering algorithms
Divergence-based classification in learning vector quantization
SMSBPR: A symmetric multi-pairwise preferences and similarity based BPR method for recommendation with implicit feedback
Boosting image sentiment analysis with visual attention
Variation-aware proxy learning for semantic segmentation
Dendritic morphology and signal delay in superior colliculus neurons
Robust adaptive NN control of dynamically positioned vessels under input constraints
Visually aligned sound generation via sound-producing motion parsing
Unpredictable oscillations of SICNNs with delay
Bin loss for hard exudates segmentation in fundus images
Solving local minima problem with large number of hidden nodes on two-layered feed-forward artificial neural networks
Globally optimal distributed cooperative control for general linear multi-agent systems
Open-circuit fault diagnosis of power rectifier using sparse autoencoder based deep neural network
LWCR: multi-Layered Wikipedia representation for Computing word Relatedness
Pruning of basis functions in nonlinear approximators
Whole-brain functional connectome-based multivariate classification of post-stroke aphasia
Development and application of CMS-based database modules for neuroinformatics
Micro-expression recognition using dual-view self-supervised contrastive learning with intensity perception
Propagation of quasi-stable activation in a chain of recurrent neural networks
Modelling self-sustained rhythmic activity in lamprey hemisegmental networks
Synchronization of two nonidentical complex-valued neural networks with leakage delay and time-varying delays
Wavelet and multifractal estimation of the intermittent photic stimulation response in the electroencephalogram of patients with dyscirculatory encephalopathy
miSFM: On combination of Mutual Information and Social Force Model towards simulating crowd evacuation
Integrating 3D structure into traffic scene understanding with RGB-D data
DPSHE: A privacy-preserving federated learning scheme based on homomorphic encryption and differential privacy for medical image
Efficient tree classifiers for large scale datasets
Multi-level feature splicing 3D network based on multi-task joint learning for video anomaly detection
Joint usage of global and local attentions in hourglass network for human pose estimation
H ∞ state estimation of static neural networks with time-varying delay
Phase synchronization between LFP and spiking activity in motor cortex during movement preparation
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state
Adaptive neuro-fuzzy backstepping dynamic surface control for uncertain fractional-order nonlinear systems
A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures
Dynamic interaction networks for image-text multimodal learning
A twin projection support vector machine for data regression
Adjoint dynamical kernel density for anomaly detection
On a discrete-time-delayed Hopfield neural network with ring structures and different internal decays: Bifurcations analysis and chaotic behavior
Training sparse MS-SVR with an expectation-maximization algorithm
DeepEDD: Nonparametric deep graph clustering through effective distance and density
Local k-NNs pattern in Omni-Direction graph convolution neural network for 3D point clouds
Simultaneous optimization for robust correlation estimation in partially observed social network
Genetic algorithm for optimization and specification of a neuron model
Exponential stability criteria for delayed second-order memristive neural networks
A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN
Co-attention dictionary network for weakly-supervised semantic segmentation
PGM-face: Pose-guided margin loss for cross-pose face recognition
Multiobjective genetic programming for maximizing ROC performance
Distributed consensus tracking for the fractional-order multi-agent systems based on the sliding mode control method
Topos: Spiking neural networks for temporal pattern recognition in complex real sounds
Using percentage accuracy to measure neural network predictions in Stock Market movements
Monotonic classification extreme learning machine
Visual concept conjunction learning with recurrent neural networks
Koopman framework with self-supervised spectral alignment for multi-domain time-series modeling and prediction
A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network
Occlusion-robust FAU recognition by mining latent space of masked autoencoders
SEGCN-DCR: A syntax-enhanced event detection framework with decoupled classification rebalance
Bridging machine learning and evolutionary computation
Multi-modal multi-view Bayesian semantic embedding for community question answering
Noise-resistant joint diagonalization independent component analysis based process fault detection