yusuke1997/dblp-id-title huggingface dataset:
High-performance inference graph convolutional networks for skeleton-based action recognition
Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs)
Multiple graph regularized sparse coding and multiple hypergraph regularized sparse coding for image representation
Defender of privacy and fairness: Tiny but reversible generative model via mutually collaborative knowledge distillation
LIFT: A new framework of learning from testing data for face recognition
Multi-label symbolic value partitioning through random walks
Ranking influential nodes in social networks based on node position and neighborhood
Saliency map model with adaptive masking based on independent component analysis
Node Embedding and Classification with Adaptive Structural Fingerprint
A learnable population filter for dynamic multi-objective optimization
Existence and exponential stability of piecewise pseudo almost periodic solution of neutral-type inertial neural networks with mixed delay and impulsive perturbations
A new adaptive momentum algorithm for split-complex recurrent neural networks
An improved adaptive genetic algorithm based on DV-Hop for locating nodes in wireless sensor networks
A neurodynamic algorithm to optimize residential demand response problem of plug-in electric vehicle
How do we get the data to build computational models?
SERVE: Soft and Equalized Residual VEctors for image retrieval
Independent component analysis of optical flow for robot navigation
Independent arrays or independent time courses for gene expression time series data analysis
Almost surely exponential stability of neural networks with Lévy noise and Markovian switching
Gabor feature-based face recognition on product gamma manifold via region weighting
Image thresholding using a novel estimation method in generalized Gaussian distribution mixture modeling
Synchronization driven by correlated inputs
Spike-based cross-entropy method for reconstruction
Leader-following guaranteed-performance consensus design for singular multi-agent systems with Lipschitz nonlinear dynamics
Robust subspace neuro-fuzzy system with data ordering
On self-adaptive stochastic ranking in decomposition many-objective evolutionary optimization
Adversarially adaptive temperatures for decoupled knowledge distillation with applications to speaker verification
Registering sets of points using Bayesian regression
State-of-the-art quantum computing simulators: Features, optimizations, and improvements for D-GM
Noise removal using a novel non-negative sparse coding shrinkage technique
A TCNN filter algorithm to maximum clique problem
Synfire chains with conductance-based neurons: internal timing and coordination with timed input
Special issue on distributed computing and artificial intelligence systems
Using non-linear even functions for error minimization in adaptive filters
TPGRec: Text-enhanced and popularity-smoothing graph collaborative filtering for long-tail item recommendation
GGSTrack: Geometric graph with spatio-temporal convolution for multi-object tracking
Auto-weighted projective one-step multi-view clustering
Pairwise clustering based on the mutual-information criterion
QIRM: A quantum interactive retrieval model for session search
Exploring the brain forest
Distributed and asynchronous Stochastic Gradient Descent with variance reduction
Observer-based adaptive interval type-2 fuzzy control of uncertain MIMO nonlinear systems with unknown asymmetric saturation actuators
General RIP bounds of δ tk for sparse signals recovery by ℓ p minimization
Semantic dependency and local convolution for enhancing naturalness and tone in text-to-speech synthesis
A review of image set classification
Adaptive RBF neural network-based boundary consensus control for nonlinear reaction-diffusion agents with non-collocated measurements
New method for instance or prototype selection using mutual information in time series prediction
Storage capacity of hyperbolic Hopfield neural networks
Residual scale attention network for arbitrary scale image super-resolution
Hybrid channel based pedestrian detection
Kernel PCA for similarity invariant shape recognition
Information capacity of a stochastically responding neuron assembly
Integrating contrast invariance into a model for cortical orientation map formation
Practical fixed-time adaptive consensus control for a class of multi-agent systems with full state constraints and input delay
Mixed-scale cross-modal fusion network for referring image segmentation
A signer-independent sign language recognition method for the single-frequency dataset
Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model
Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures
Solve routing problems with a residual edge-graph attention neural network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Prediction of stock index futures prices based on fuzzy sets and multivariate fuzzy time series
A simple saliency detection approach via automatic top-down feature fusion
Model-free extended Q-learning method for H∞ output tracking control of networked control systems with network delays and packet loss
Bi-Decoder Augmented Network for Neural Machine Translation
Virtual machine placement strategy using cluster-based genetic algorithm
Low-power-consumption physical reservoir computing model based on overdamped bistable stochastic resonance system
BP-STDP: Approximating backpropagation using spike timing dependent plasticity
Compositional interaction descriptor for human interaction recognition
Rule extraction from local cluster neural nets
Adaptive synchronization in complex networks with non-delay and variable delay couplings via pinning control
Application of neural networks in detection of abnormal brain perfusion regions
Virtual agent organizations for user behaviour pattern extraction in energy optimization processes: A new perspective
Deep level set learning for optic disc and cup segmentation
Hierarchical Temporal Memory method for time-series-based anomaly detection
Generalization performance of nu-support vector classifier based on conditional value-at-risk minimization
Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons
A unified supervised codebook learning framework for classification
Rethinking central pattern generators: A general approach
Robust intelligent tracking control with PID-type learning algorithm
Deep binary hyperbolic embedding for large-scale image retrieval
Modeling time series data with deep Fourier neural networks
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities
Adaptive fuzzy backstepping output feedback control for a class of uncertain stochastic nonlinear system in pure-feedback form
Optimal control using adaptive resonance theory and Q-learning
SO-TAD: A surveillance-oriented benchmark for traffic accident detection
Grabbing the Long Tail: A data normalization method for diverse and informative dialogue generation
MSOF: A main and secondary bi-directional optical flow feature method for spotting micro-expression
Multi-contrast magnetic resonance image reconstruction joint with one-dimensional or two-dimensional sampling patterns optimization
On the suitability of Prototype Selection methods for kNN classification with distributed data
Mean-square exponential input-to-state stability for neutral stochastic neural networks with mixed delays
A fast algorithm for nonsmooth penalized clustering
A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem
Application of BFNN in power flow calculation in smart distribution grid
Estimation of synaptic conductances and their variances from intracellular recordings of neocortical neurons in vivo
Feature concatenation multi-view subspace clustering
A hybrid stock trading system for intelligent technical analysis-based equivolume charting
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
Experimental comparison of recursive self-organizing maps for processing tree-structured data
Gaussian-response correlation filter for robust visual object tracking
Feature calibration and feature separation for long-tailed visual recognition
Organization and visualization of brain tissue volume data
Dilated Residual Networks with Symmetric Skip Connection for image denoising
Adaptive neural control of quadruped robots with input deadzone
A comparison of feature detectors and descriptors for object class matching
A multi-objective micro genetic ELM algorithm
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks
Automatic delineation and prognostic assessment of head and neck tumor lesion in multi-modality positron emission tomography / computed tomography images based on deep learning: A survey
Artificial intelligence modelling human mental fatigue: A comprehensive survey
Topological structural analysis based on self-adaptive growing neural network for shape feature extraction
The devil is in the face: Exploiting harmonious representations for facial expression recognition
Change detection based on tensor RPCA for longitudinal retinal fundus images
New methods for testing linear separability
Online dynamic influence maximization based on deep reinforcement learning
A method of traffic police detection based on attention mechanism in natural scene
Modeling L-LTP based on changes in concentration of pCREB transcription factor
Multi-agent, human-agent and beyond: A survey on cooperation in social dilemmas
Graph classification based on sparse graph feature selection and extreme learning machine
Unsupervised learning of sensor topologies for improving activity recognition in smart environments
Boosting Few-shot visual recognition via saliency-guided complementary attention
Sampling-based event-triggered consensus for multi-agent systems
Off-policy synchronous iteration IRL method for multi-player zero-sum games with input constraints
Feature selection based on measurement of ability to classify subproblems
Classifying ASD children with LSTM based on raw videos
Islanding fault detection based on data-driven approach with active developed reactive power variation
SA-CGAN: An oversampling method based on single attribute guided conditional GAN for multi-class imbalanced learning
Multi-view constraint disentangled GAT for recommendation
Autonomous emotion development using incremental modified adaptive neuro-fuzzy inference system
Local positive and negative correlation-based k -labelsets for multi-label classification
Place recognition based on deep feature and adaptive weighting of similarity matrix
Spiking pattern recognition using informative signal of image and unsupervised biologically plausible learning
Quaternion matrix completion with total variation regularization utilizing fast dual proximal gradient method
A novel algorithm on adaptive backstepping control of fractional order systems
Fault-tolerant dissipative synchronization for chaotic systems based on fuzzy mixed delayed feedback
DKETFormer: Salient object detection in optical remote sensing images based on discriminative knowledge extraction and transfer
Neural projection techniques for the visual inspection of network traffic
Efficient interpretable variants of online SOM for large dissimilarity data
Accelerating Reinforcement Learning using EEG-based implicit human feedback
Vehicle re-identification in tunnel scenes via synergistically cascade forests
Sparse temporal knowledge graph completion based on path imitation
Improving liquid state machines through iterative refinement of the reservoir
Deep multi-view clustering based on fine-grained dynamic fusion learning
Identification of drug-side effect association via multiple information integration with centered kernel alignment
Partial separation method for solving permutation problem in frequency domain blind source separation of speech signals
Design of a multi-mode intelligent model predictive control strategy for hydroelectric generating unit
Deep reinforcement learning based active disturbance rejection control for ship course control
A sparse code increases the speed and efficiency of neuro-dynamic programming for optimal control tasks with correlated inputs
Stability and Hopf bifurcation in an unidirectional ring of n neurons with distributed delays
Extended dissipative analysis and synthesis for network control systems with an event-triggered scheme
Binary classification using ensemble neural networks and interval neutrosophic sets
ℓ 1/2 -based penalized clustering with half thresholding algorithm
ConFusionformer: Locality-enhanced Conformer through multi-resolution attention fusion for speaker verification
Sequential learning unification controller from human demonstrations for robotic compliant manipulation
Distributed optimization for the multi-robot system using a neurodynamic approach
Event monitoring via local motion abnormality detection in non-linear subspace
A Framework for Neural Topic Modeling with Mutual Information and Group Regularization
Overlapping communities detection based on cluster-ability optimization
An extreme learning machine for unsupervised online anomaly detection in multivariate time series
Domanial and dimensional adversarial learning for emotion regression
A multimodal fusion emotion recognition method based on multitask learning and attention mechanism
The prevalence of colinear contours in the real world
Adversarial example denoising and detection based on the consistency between Fourier-transformed layers
A self-learning dynamic path planning method for evacuation in large public buildings based on neural networks
Extraction of a source from multichannel data using sparse decomposition
An AER-based spiking convolution neural network system for image classification with low latency and high energy efficiency
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization
A new training approach for deep learning in EEG biometrics using triplet loss and EMG-driven additive data augmentation
All on board: Efficient reinforcement learning with milestone aggregation in asynchronous distributed training for RTS games
Interactive patent classification based on multi-classifier fusion and active learning
Co-occurrence graph based hierarchical neural networks for keyphrase generation
CAVGO: Class adaptive variance-guided gradient optimization for robust domain generalization
Dynamics of an adaptive higher-order Cohen-Grossberg model
Double negative sampled graph adversarial representation learning with motif-based structural attention network
Nonlinear matrix factorization with unified embedding for social tag relevance learning
Distributed consensus control for a group of autonomous marine vehicles with nonlinearity and external disturbances
Threshold-optimized and features-fused semi-supervised domain adaptation method for rotating machinery fault diagnosis
Jointly attention network for crowd counting
Neighborhood-enhanced transfer learning for one-class collaborative filtering
A knowledge graph method for hazardous chemical management: Ontology design and entity identification
The role of pertinently diversified and balanced training as well as testing data sets in achieving the true performance of classifiers in predicting the antifreeze proteins
Reconstruction of curves from point clouds using fuzzy logic and ant colony optimization
A review of object tracking based on deep learning
Parkinson's disease monitoring by biomechanical instability of phonation
Global stability analysis for discrete-time coupled systems with both time delay and multiple dispersal and its application
GSOA: Growing Self-Organizing Array - Unsupervised learning for the Close-Enough Traveling Salesman Problem and other routing problems
Binary multi-view clustering with spectral embedding
Community structure exploration considering latent link patterns in complex networks
A hybrid SVM and kernel function-based sparse representation classification for automated epilepsy detection in EEG signals
Bacterial-inspired algorithms for solving constrained optimization problems
Multi-level Alignment Network for Domain Adaptive Cross-modal Retrieval
Postsynaptic organisations of directional selective visual neural networks for collision detection
Topic-aware most influential community search in social networks
Multi-level aggregation based federated few-shot learning
Can edges help convolution neural networks in emotion recognition?
Phase entrainment by periodic stimuli in silico : A quantitative study
Medical diagnosis of Rheumatoid Arthritis using data driven PSO-FCM with scarce datasets
RankSAM: Lightweight adapters and prompt generation in zero-shot semantic segmentation
LF-EME: Local features with elastic manifold embedding for human action recognition
Spike-based compact digital neuromorphic architecture for efficient implementation of high order FIR filters
Deterministic policy gradient adaptive dynamic programming for model-free optimal control
Moving objects segmentation using generative adversarial modeling
Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings
Synthesized rain images for deraining algorithms
A novel robust algorithm for position and orientation detection based on cascaded deep neural network
Second-order consensus of discrete-time multi-agent systems in directed networks with nonlinear dynamics via impulsive protocols
Pursuing dynamic reorganization in auditory cortex using chronic, multichannel unit recordings in awake, behaving cats
A novel multi-scale salient object detection framework utilizing nonlinear spiking neural P systems
Making physical proofs of concept of reinforcement learning control in single robot hose transport task complete
Spatial exchanging fusion network for RGB-T crowd counting
A dual-domain mutual compensation network for multi-modality image fusion
Group consensus for heterogeneous multi-agent systems with parametric uncertainties
Identifying critical nodes via link equations and deep reinforcement learning
Discriminative deep metric learning for asymmetric discrete hashing
Stability analysis of stochastic recurrent neural networks with unbounded time-varying delays
Multi-objective genetic algorithm as channel selection method for P300 and motor imagery data set
X-ray computed tomography using sparsity based regularization
Local feature descriptor using entropy rate
Layered event-triggered control for group consensus with both competition and cooperation interconnections
Hysteretic chaotic operator network and its application in wind speed series prediction
Performance guaranteed tracking control of nonlinear systems under anomaly actuation: A neuro-adaptive fault-tolerant approach
Study on image retrieval based on image texture and color statistical projection
Unconstrained and constrained face recognition using dense local descriptor with ensemble framework
A multimodal fusion approach for image captioning
A dynamic label assignment strategy for one-stage detectors
Particle swarm optimization for construction of neural network-based prediction intervals
Adaptive multiplicative updates for quadratic nonnegative matrix factorization
Multi-scale object retrieval via learning on graph from multimodal data
A competitive learning process for hyperspherical classifiers
The effect of coefficients on the continuous attractors in coupled Highway Neural Networks
Learning solutions to partial differential equations using LS-SVM
Adaptive multi-view subspace clustering algorithm based on representative features and redundant instances
LGL: Local guide local network for non-homogeneous image dehazing
Pyramid hierarchical envelope generation structure based collaborative semantic unsupervised domain adaptation
Probabilistic group nearest neighbor query optimization based on classification using ELM
A centroid-based fine-tuning method for out-of-scope classification
A distributed spatial-temporal weighted model on MapReduce for short-term traffic flow forecasting
EM-based semi-blind channel estimation method for MIMO-OFDM communication systems
Artificial neural networks for feedback control of a human elbow hydraulic prosthesis
Multimodal invariant feature prompt network for brain tumor segmentation with missing modalities
Applications of the Poincaré mapping technique to analysis of neuronal dynamics
Characterizing spike trains with Lempel-Ziv complexity
A survey on kinship verification
Lag quasi-synchronization for periodic neural networks with unreliable redundant communication channels
A novel method to solve inverse variational inequality problems based on neural networks
Multi-scale graph attention subspace clustering network
Virtual sample generation for small sample learning: A survey, recent developments and future prospects
X-Net: Multi-branch UNet-like network for liver and tumor segmentation from 3D abdominal CT scans
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects
A neural network algorithm framework based on graph structure for general combinatorial optimization
Robust hierarchical feature selection with a capped ℓ2-norm
TOMPEI-CMMD: An adaptive radiological feature analysis using unitary U-net for high-precision mammography segmentation
Event-triggered privacy-preserving bipartite consensus for multi-agent systems based on encryption
Embedding similarity guided license plate super resolution
A generalized addressing concept for correlative memory and neural networks
Adaptive fuzzy decentralized control for a class of interconnected nonlinear system with unmodeled dynamics and dead zones
Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition
A spintronic memristor bridge synapse circuit and the application in memrisitive cellular automata
Attributes guided facial image completion
Robust H ∞ filter design for discrete-time interconnected fuzzy systems with partially unknown membership functions and past output measurements
A SEIHR knowledge dissemination model with time-varying parameters based on Physics-Informed Neural Networks
Distributed learning for online multi-cluster games over directed graphs
A computational model for signaling pathways in bounded small-world networks corresponding to brain size
Balancing computational complexity and generalization ability: A novel design for ELM
Fixed-time passivity of multi-weighted coupled memristive Cohen-Grossberg neural networks
SR-CIBN: Semantic relationship-based consistency and inconsistency balancing network for multimodal fake news detection
Ordinal pyramid coding for rotation invariant feature extraction
Neural-network-based synchronous iteration learning method for multi-player zero-sum games
A model integrating the cerebellar granule neuron excitability and calcium signaling pathways
Dilated residual networks with multi-level attention for speaker verification
Improved multi-objective particle swarm optimization with preference strategy for optimal DG integration into the distribution system
A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification
Inter-spike-intervals analysis of AER Poisson-like generator hardware
ConvMamba: Combining Mamba with CNN for hyperspectral image classification
Federated deep long-tailed learning: A survey
Orthogonal discriminant linear local tangent space alignment for face recognition
Masked graph autoencoder-based multi-agent dynamic relational inference model for trajectory prediction
SFAMNet: A scene flow attention-based micro-expression network
Fully automatic MRI brain tumor segmentation using efficient spatial attention convolutional networks with composite loss
Nonnegative periodic dynamics of delayed Cohen-Grossberg neural networks with discontinuous activations
Correlational examples for convolutional neural networks to detect small impurities
Learn from structural scope: Improving aspect-level sentiment analysis with hybrid graph convolutional networks
A framework of uniform contribution embedding of data