yusuke1997/dblp-id-title huggingface dataset:
Adaptive synchronization for competitive neural networks with different time scales and stochastic perturbation
Spatiotemporal subspace variational autoencoder with repair mechanism for traffic data imputation
NeuroNorm: An R package to standardize multiple structural MRI
Competitive neural network to solve scheduling problems
Event-triggered impulsive control for synchronization in finite time of fractional-order reaction-diffusion complex networks
The existence of exponential periodic attractor of impulsive BAM neural network with periodic coefficients and distributed delays
Optimal wiring in the cortex and neuronal degree of separation
A new probability model for insuring critical path problem with heuristic algorithm
U-neural network-enhanced control of nonlinear dynamic systems
Cholinergic modulation of spike timing and spike rate
Quantum probability-inspired graph neural network for document representation and classification
Semantic and detail collaborative learning network for salient object detection
Gating mechanism based Natural Language Generation for spoken dialogue systems
Abnormal image detection in endoscopy videos using a filter bank and local binary patterns
Development of a fast filtering algorithm via vibration systems approach and application to a class of portable vital signs monitoring systems
Erase then grow: Generating correct class activation maps for weakly-supervised semantic segmentation
Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects
Exploiting geographical-temporal awareness attention for next point-of-interest recommendation
A novel supervised feature extraction and classification fusion algorithm for land cover recognition of the off-land scenario
Generalized radial basis function neural network based on an improved dynamic particle swarm optimization and AdaBoost algorithm
Person image generation with attention-based injection network
Quantized state estimation for neural networks with cyber attacks and hybrid triggered communication scheme
Graph representation based reward shaping approach for addressing reward sparsity in task-oriented dialogue systems
BRAVE: A cascaded generative model with sample attention for robust few shot image classification
Annealing robust radial basis function networks for function approximation with outliers
A reliable solder joint inspection method based on a light-weight point cloud network and modulated loss
Multi-stage attention spatial-temporal graph networks for traffic prediction
Implementation of context-aware workflows with multi-agent systems
Adaptive multi-scale dual attention network for semantic segmentation
Sub-optimal scheduling in switched systems with continuous-time dynamics: A gradient descent approach
Software-hardware co-design for accelerating large-scale graph convolutional network inference on FPGA
Cooperative output regulation of linear discrete-time time-delay multi-agent systems by adaptive distributed observers
Sentiment aware word embeddings using refinement and senti-contextualized learning approach
Financial credit analysis via a clustering weightless neural classifier
Recurrent neural network-induced Gaussian process
Confounded spikes generated by synchrony within neural tissue models
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Manifold learning in local tangent space via extreme learning machine
Contract-based approach to provide electric vehicles with charging service in heterogeneous networks
Design and implementation of a neural network controller for real-time adaptive voltage regulation
Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm
Neural adaptive quantized output-feedback control-based synchronization of uncertain time-delay incommensurate fractional-order chaotic systems with input nonlinearities
Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions
DCHF_T: A multi-dimensional adaptive compression approach for transformer-based models
Defect image generation through feature disentanglement using StyleGAN2-ADA
Peer selection in opinion dynamics on signed social networks with stubborn individuals
Trajectory tracking control for wheeled mobile robot subject to slipping and skidding
Damping proximal coordinate descent algorithm for non-convex regularization
Developing parallel sequential minimal optimization for fast training support vector machine
Statistic deviation mode balancer (SDMB): A novel sampling algorithm for imbalanced data
Data mining neural spike trains for the identification of behavioural triggers using evolutionary algorithms
A geometric algorithm for overcomplete linear ICA
The nonlinear PCA criterion in blind source separation: Relations with other approaches
Distributed time-varying group formation control for generic linear systems with observer-based protocols
A model of inositol 1, 4, 5-trisphosphate and calcium dynamics in single cells following metabotropic receptor activation
A dendritic model of coincidence detection in the avian brainstem
DODFMiner: An automated tool for Named Entity Recognition from Official Gazettes
Model-free aperiodic tracking for discrete-time systems using hierarchical reinforcement learning
Subthreshold oscillations and neuronal input-output relationships
Multiple-output modeling for multi-step-ahead time series forecasting
Corrigendum to "Low-light image enhancement with knowledge distillation" [Neurocomputing 518 (2023) 332-343]
Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning
Performance analysis and distributed filter design for networked dynamic systems over finite-frequency ranges
Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach
SEPT: Squeeze-and-excitation point transformer with wise composite information encoding for segmentation and classification
Filter pruning via separation of sparsity search and model training
Multi-view optimization and refinement for high-fidelity 4D Gaussian splatting
Knowledge embedding via hyperbolic skipped graph convolutional networks
Bacterial colony algorithm with adaptive attribute learning strategy for feature selection in classification of customers for personalized recommendation
Parametric nonlinear dimensionality reduction using kernel t-SNE
When decoupled GCN meets group discrimination: A special graph contrastive learning framework
Drifting explanations in continual learning
Kernel-based random effect time-varying coefficient model for longitudinal data
Multiple modes of electrical activities in a new neuron model under electromagnetic radiation
Multi-view coupled dictionary learning for person re-identification
An online trained fuzzy neural network controller to improve stability of power systems
Modified single-output Chebyshev-polynomial feedforward neural network aided with subset method for classification of breast cancer
Bayesian capsule networks for 3D human pose estimation from single 2D images
Universal algorithms for multinomial logistic regression under Kullback-Leibler game
The Gradual Resampling Ensemble for mining imbalanced data streams with concept drift
CAML: Contextual augmented meta-learning for cold-start recommendation
Cross-heterogeneous-database age estimation through correlation representation learning
Spike-frequency adaptation as a mechanism for dynamic coding in V1
Bifurcation analysis and control in exponential RED algorithm
Learning semantic context feature-tree for action recognition via nearest neighbor fusion
Time-delay-induced instabilities and Hopf bifurcation analysis in 2-neuron network model with reaction-diffusion term
Artificial neural networks in hardware: A survey of two decades of progress
DCB-VIM: An ensemble learning based filter method for feature selection with imbalanced class distribution
Auto-weighted Multi-view learning for Semi-Supervised graph clustering
Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform
Weighted Margin Sparse Embedded classifier for brake cylinder detection
Spatio-temporal synchronization of reaction-diffusion BAM neural networks via impulsive pinning control
Global μ-stability of impulsive reaction-diffusion neural networks with unbounded time-varying delays and bounded continuously distributed delays
Make full use of your data: On copy-based augmentation in speech anti-spoofing
SegCFT: Context-aware Fourier Transform for efficient semantic segmentation
Aspect-based sentiment analysis with component focusing multi-head co-attention networks
Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification
A multi-output two-stage locally regularized model construction method using the extreme learning machine
Multi-label thresholding for cost-sensitive classification
Multi-label learning with discriminative features for each label
Multi-component group sparse RPCA model for motion object detection under complex dynamic background
Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation
Vision transformer with salience self-attention for underwater and aerial object recognition and tracking
Discriminant neural predictive coding applied to phoneme recognition
Concise deep reinforcement learning obstacle avoidance for underactuated unmanned marine vessels
Output regulation of state-coupled linear multi-agent systems with globally reachable topologies
Continuous unsupervised domain adaptation using stabilized representations and experience replay
Stochastic graph recurrent neural network
Interval type-2 fuzzy neural networks version of the Stone-Weierstrass theorem
Convergence of BP algorithm for product unit neural networks with exponential weights
Rotation expanded dictionary-based single image super-resolution
STN-enhanced message passing guided by adversarial learning for human pose estimation
Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar
Functional relevance learning in generalized learning vector quantization
Action recognition and localization with spatial and temporal contexts
A recurrent neural network with predefined-time convergence and improved noise tolerance for dynamic matrix square root finding
A neural network-based framework for the reconstruction of incomplete data sets
Deep neural networks compression learning based on multiobjective evolutionary algorithms
SCLNet: Spatial context learning network for congested crowd counting
Behavioral considerations suggest an average reward TD model of the dopamine system
ASELM: Adaptive semi-supervised ELM with application in question subjectivity identification
A flexible 3D cerebrovascular extraction from TOF-MRA images
MixNet: Efficient global modeling for ultra-high-definition image restoration
Connectionist mechanisms for cognitive control
Space-frequency localized basis function networks for nonlinear system estimation and control
Saliency and location aware pruning of deep visual detectors for autonomous driving
An adaptive growing and pruning algorithm for designing recurrent neural network
Visual tracking via dynamic tensor analysis with mean update
Manifold NMF with L 21 norm for clustering
Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis
Adaptive teaching with shared classifier for knowledge distillation
Object localization using positive features
Special issue on hybrid artificial intelligence systems from HAIS 2022 conference
Neighbor embedding XOM for dimension reduction and visualization
Security control for cyber-physical systems under aperiodic denial-of-service attacks: A memory-event-triggered active approach
D-VPnet: A network for real-time dominant vanishing point detection in natural scenes
Deep architectures for the segmentation of frontal sinuses in X-ray images: Towards an automatic forensic identification system in comparative radiography
Coupling different methods for overcoming the class imbalance problem
Multitask Bregman clustering
AsyLink: user identity linkage from text to geo-location via sparse labeled data
Global and local modelling in RBF networks
Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference
A novel adaptive weighted fusion network based on pixel level feature importance for two-stage 6D pose estimation
Modeling affections with memristor-based associative memory neural networks
On the convergence of a growing topology neural algorithm
A cell assembly model for complex behaviour
TLCN: A trend-local convolution network for traffic prediction
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation
Bicomplex-valued twin-hyperbolic Hopfield neural networks
Shared Hybrid Attention Transformer network for colon polyp segmentation
Bridging cross-modal sparsity via adaptive pillar propagation and hierarchical multi-granularity feature distillation for 3D object detection
A new local search based hybrid genetic algorithm for feature selection
ESEN: Efficient GPU sharing of Ensemble Neural Networks
Multi-modal information fusion for multi-task end-to-end behavior prediction in autonomous driving
Functional networks and applications: A survey
NeuroSimWorm: A multisensory framework for modeling and simulating neural circuits of Caenorhabditis elegans
CNN-based edge filtering for object proposals
The recognition and analysis of animate objects using neural networks and active contour models
Output-feedback tracking control for interval type-2 polynomial fuzzy-model-based control systems
Video text tracking with transformer-based local search
The benefits of adversarial defense in generalization
Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis
Stacked sparse autoencoder and case-based postprocessing method for nucleus detection
Synchronization criterion of complex networks with time-delay under mixed topologies
Feedback neural network for constrained bi-objective convex optimization
Optimization of the neural net connectivity pattern using a backpropagation algorithm
Exponential synchronization for a class of complex networks of networks with directed topology and time delay
Exchange rate prediction using hybrid neural networks and trading indicators
A density-based method for adaptive LDA model selection
HO-FMN: Hyperparameter optimization for fast minimum-norm attacks
Discriminative feature extraction based on sparse and low-rank representation
Recognizing spontaneous micro-expression from eye region
var-nmODE: Model with L2-stability based on nmODE for defending against adversarial attacks
The combined functional approach to state estimation of delayed static neural network
Robust correlation filter tracking with multi-scale spatial view
Visual question answering by pattern matching and reasoning
Semi-supervised manifold alignment with few correspondences
Fixed point method for autonomous on-line neural network training
Developments of the generative topographic mapping
Combined H ∞ and passivity state estimation of memristive neural networks with random gain fluctuations
Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset
Random combination for information extraction in compressed sensing and sparse representation-based pattern recognition
Structural investigations of multi-reservoir Echo State Networks for EEG-based emotion classification
Dual path features interaction network for efficient image super-resolution
Learning continuous-time working memory tasks with on-policy neural reinforcement learning
Improving robustness for vision transformer with a simple dynamic scanning augmentation
Causal disentanglement for regulating social influence bias in social recommendation
Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT)
Almost periodic solution to Cohen-Grossberg-type BAM networks with distributed delays
Parsimonious memory unit for recurrent neural networks with application to natural language processing
HiNER: Hierarchical feature fusion for Chinese named entity recognition
Outlier-resisting graph embedding
Image super-resolution based on residually dense distilled attention network
An inertial projection neural network for solving inverse variational inequalities
A modular extreme learning machine with linguistic interpreter and accelerated chaotic distributor for evaluating the safety of robot maneuvers in laparoscopic surgery
A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques
An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model
Synergistic integration of graph-cut and cloud model strategies for image segmentation
A novel compound regularization and fast algorithm for compressive sensing deconvolution
Truncated prediction-based distributed consensus control of linear multi-agent systems with discontinuous communication and input delay
From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge
Synchronous stability of the fractional-order discrete-time dynamical network system model with impulsive couplings
Consensus for general multi-agent networks with external disturbances
Multiscale image segmentation using a hierarchical self-organizing map
Guest Editorial: Special issue on advances in computing techniques for big medical image data
Evolutionary robotics approach to odor source localization
Conditionally independent component analysis for supervised feature extraction
PTDLRec: A recommendation model integrating personality traits and deep learning
A neural network based online learning and control approach for Markov jump systems
Multi-task preference learning with an application to hearing aid personalization
An approximate logic neuron model with a dendritic structure
Small fault detection from discrete-time closed-loop control using fault dynamics residuals
Semi-supervised target-oriented sentiment classification
Simulations of space-clamp errors in estimating parameters of voltage-gated conductances localized at different electrotonic distances
THFuse: An infrared and visible image fusion network using transformer and hybrid feature extractor
Synchronization of master-slave neural networks with a decentralized event triggered communication scheme
Guaranteed performance state estimation of static neural networks with time-varying delay
Task-generic semantic convolutional neural network for web text-aided image classification
A theoretical framework for supervised learning from regions
Adaptive tracking control for switched strict-feedback nonlinear systems with time-varying delays and asymmetric saturation actuators
Multilayer deep features with multiple kernel learning for action recognition
Effects of singular value spectrum on the performance of echo state network
Recurrent network simulations of two types of non-concentric retinal ganglion cells
An automated method for sleep staging from EEG signals using normal inverse Gaussian parameters and adaptive boosting
A deep learning and image enhancement based pipeline for infrared and visible image fusion
Multi-instant fuzzy control design of nonlinear networked systems with data packet dropouts
Sparsely encoded local descriptor for face verification
Deep domain-invariant learning for facial age estimation
PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition
A new self-adaptation scheme for differential evolution
A novel dictionary learning approach for multi-modality medical image fusion
One-class classifier ensemble pruning and weighting with firefly algorithm
Semi-supervised multiple evidence fusion for brain tumor segmentation
Keywords extraction with deep neural network model
Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score
Deep mutual learning for brain tumor segmentation with the fusion network
Fast RGB-T Tracking via Cross-Modal Correlation Filters
Multi-agent reinforcement learning by the actor-critic model with an attention interface
TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization
Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification
Differential optical flow applied to automatic facial expression recognition
Binary thresholding defense against adversarial attacks
Feature pyramid network with multi-scale prediction fusion for real-time semantic segmentation
Characterization of activity oscillations in an excitable membrane model and their potential functionality for neuronal computations
Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network
Deep saliency models : The quest for the loss function
Face sketch-to-photo transformation with multi-scale self-attention GAN
No tricks no bluff, focusing on localizing crisp boundaries in image media
Gaussian-enhanced reinforcement learning for scalable evasion strategies in multi-agent pursuit-evasion games
Skeleton-based action recognition through dual-granularity feature fusion with self-adapting graph convolution and multi-scale temporal convolution
Bounded consensus control for stochastic multi-agent systems with additive noises
A novel graph-based k-means for nonlinear manifold clustering and representative selection
Multiview 3D human pose estimation using improved least-squares and LSTM networks
T-S fuzzy affine model based non-synchronized state estimation for nonlinear Itô stochastic systems
Graph context-attention network via low and high order aggregation
A method for resampling imbalanced datasets in binary classification tasks for real-world problems
Towards histopathological stain invariance by Unsupervised Domain Augmentation using generative adversarial networks
Effects-based feature identification for network intrusion detection
Improved feature screening in feedforward neural networks
A multimodal fusion framework for semantic segmentation of remote sensing based on multilevel feature fusion learning
Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning
Simulation-based effective comparative analysis of neuron circuits for neuromorphic computation systems
Feature evaluation and selection based on neighborhood soft margin
Stimulus optimisation in primary visual cortex
Special issue on ICONIP2009 "Learning algorithm and mathematic modeling"
Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition
Small variation in dynamic functional connectivity in cerebellar networks
A novel method of rolling bearings fault diagnosis based on singular spectrum decomposition and optimized stochastic configuration network
An EM algorithm for convolutive independent component analysis
ℓ 0 -based sparse canonical correlation analysis with application to cross-language document retrieval
Neural networks based visual attention model for surveillance videos
Locality constrained Graph Optimization for Dimensionality Reduction
An evolutionary deep neural network for predicting morbidity of gastrointestinal infections by food contamination
4K-HAZE: A dehazing benchmark with 4K resolution hazy and haze-free images
Intent recognition model based on sequential information and sentence features
An improved ART2 neural network: Resisting pattern drifting through generalized similarity and confidence measures
FEMTL-DR: A feature-enhanced multi-task learning model for flexible drug recommendation
A unified neural circuit of causal inference and multisensory integration
Multi-video summarization with query-dependent weighted archetypal analysis
Motion cues guided feature aggregation and enhancement for video object segmentation