yusuke1997/dblp-id-title huggingface dataset:
Probabilistic spatio-temporal inference for motion event understanding
An examination of a relation between hand height position and motion duration on the human sagittal plane movement based on the minimization principle
Cascading failure model of scale-free topology for avoiding node failure
Combining Rough Sets Learning- and Neural Learning-method to deal with uncertain and imprecise information
Disturbance observer based adaptive neural prescribed performance control for a class of uncertain nonlinear systems with unknown backlash-like hysteresis
Advances in blind signal processing
Adaptive attention fusion network for cross-device GUI element re-identification in crowdsourced testing
Multiplicity of almost periodic solutions for multidirectional associative memory neural network with distributed delays
Power line detection from optical images
Multiple Mittag-Leffler stability and locally asymptotical ω -periodicity for fractional-order neural networks
Improving deep neural network performance by integrating kernelized Min-Max objective
Stabilization of desired periodic orbits in dynamic binary neural networks
Mobile crowd sensing of human-like intelligence using social sensors: A survey
Prevention of catastrophic interference and imposing active forgetting with generative methods
Synchronization of stochastic impulsive discrete-time delayed networks via pinning control
Safe reinforcement learning for discrete-time fully cooperative games with partial state and control constraints using control barrier functions
Observer-based consensus for fractional-order multi-agent systems with positive constraint
A local multiple patterns feature descriptor for face recognition
Composite adaptive fuzzy output feedback dynamic surface control design for stochastic large-scale nonlinear systems with unknown dead zone
A new robust semi-supervised clustering method based on adaptive credibility estimation and locality preservation
Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine
Learning discriminative visual elements using part-based convolutional neural network
Timely neural networks applications in engineering - selected papers from the 12th EANN International Conference
Interpretable local-global monitoring network for three-phase flow processes with concurrent analysis of independence and high-order temporal correlation
Context Prior based Semantic-Spatial Graph Network for Human Parsing
Multi-camera multi-object tracking: A review of current trends and future advances
Attentive preference personalized recommendation with sentence-level explanations
Modeling the role of fixational eye movements in real-world scenes
Periodic oscillation of discrete-time bidirectional associative memory neural networks
Quaternionic Hopfield neural networks with twin-multistate activation function
Variational quantum tensor networks classifiers
Consensus and attack-decomposition of switched one-sided Lipschitz multi-agent systems via event-triggered intermittent control
Palmprint recognition using Gabor-based local invariant features
Joint entropy search for multi-objective Bayesian optimization with constraints and multiple fidelities
A biological-like controller using improved spiking neural networks
Multi-dimensional opinion dynamics for social networks with asynchronous updates
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks
DRL for handover in 6G-vehicular networks: A survey
Skeleton-based traffic command recognition at road intersections for intelligent vehicles
PFCPNet: A progressive feature correction and prompt network for robust real-world image denoising
Improving on early exaggeration in t -SNE: Early hierarchization better preserves global structure
Towards a probabilistic semi-supervised Kernel Minimum Squared Error algorithm
StreamVAD: A streaming framework with progressive context integration for multi-temporal scale video anomaly detection
DiffuseVAE++: Mitigating training-sampling mismatch based on additional noise for higher fidelity image generation
A new descriptor of gradients Self-Similarity for smile detection in unconstrained scenarios
Modelling and motion control of hydraulic manipulator based on deep learning and reinforcement learning
Simultaneous input variable and basis function selection for RBF networks
Editorial for special issue on ICONIP 2013
RDProtoFusion: Refined discriminative prototype-based multi-task fusion for cross-domain few-shot learning
Unsupervised learning with stochastic gradient
Editorial: Special issue on advances in swarm intelligence for neural networks
Robust palmprint recognition based on the fast variation Vese-Osher model
Identifying common driver modules by equilibrating coverage and mutual exclusivity across pan-cancer data
Distributed event-triggered sliding-mode control of second-order multi-UAV system with a dynamic leader
On the role of dynamical synapses in coincidence detection
Using reference points to update the archive of MOPSO algorithms in Many-Objective Optimization
Preserving activations in recurrent neural networks based on surprisal
Experimental modeling using modified cascade correlation RBF networks for a four DOF tilt rotor aircraft platform
SELP: A general-purpose framework for learning the norms from saliencies in spatiotemporal data
A novel learning method for multi-intersections aware traffic flow forecasting
Video hashing based on appearance and attention features fusion via DBN
Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG
An autonomous stair climbing method for the crawler robot based on a hybrid reinforcement learning controller
From phenomenological data and sensations to cognition
Spotting anomalous ratings for rating systems by analyzing target users and items
New neural network algorithm for image reconstruction from fan-beam projections
Large-scale gastric cancer screening and localization using multi-task deep neural network
Online sequential extreme learning machine with forgetting mechanism
Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation
Multiple kernel clustering with corrupted kernels
Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning
An architectural analysis of DeepOnet and a general extension of the physics-informed DeepOnet model on solving nonlinear parametric partial differential equations
An efficient real-time data collection framework on petascale systems
Exponential stability and synchronization of Memristor-based fractional-order fuzzy cellular neural networks with multiple delays
Learning pose regression as reliable pixel-level matching for self-supervised depth estimation
Exploring a rich spatial-temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN
A review on anchor assignment and sampling heuristics in deep learning-based object detection
Identifying users across social networks based on dynamic core interests
On synchronization for chaotic memristor-based neural networks with time-varying delays
Artificial neural network analysis of the academic performance of students in virtual learning environments
Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes
Geometric modeling of local cortical networks
Fast identification algorithms for Gaussian process model
Real-time 3D face modeling based on 3D face imaging
Facial expression recognition based on two-dimensional discriminant locality preserving projections
Adaptive output feedback control of nonlinear systems with prescribed performance and MT-filters
No-reference image quality assessment in contourlet domain
Relaxed passivity conditions for neural networks with time-varying delays
Neuromorphic detection of speech dynamics
Off-policy algorithm based Hierarchical optimal control for completely unknown dynamic systems
Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine
Feature extraction through contourlet subband clustering for texture classification
Combining synaptic and cellular resonance in a feed-forward neuronal network
A generic class-agnostic object counting network with adaptive offset deformable convolution
Modeling texture-constancy of cortical grating cells
TSPNet: Translation supervised prototype network via residual learning for multimodal social relation extraction
Classification of committees with vetoes and conditions for the stability of power indices
Event-triggered control of second-order nonlinear multi-agent systems with directed topology
Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI
Advances in intelligent systems
Relation constraint self-attention for image captioning
MFCR-SleepNet: A hard sample mining-based multi-scale feature contrastive representation learning model for sleep stage classification
Weighted sum synchronization of memristive coupled neural networks
Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory?
Redundancy of the parameters of the complex-valued neural network
Domain adaptation for textual adversarial defense via prompt-tuning
Neural fitting: Robustness by anti-Hebbian learning
Person re-identification post-rank optimization via hypergraph-based learning
Self-organizing mixture models
An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark
Wavelet Volterra Coupled Models for forecasting of nonlinear and non-stationary time series
Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding
Multi-modal self-paced learning for image classification
Image-to-class distance ratio: A feature filtering metric for image classification
Human fall detection in videos by fusing statistical features of shape and motion dynamics on Riemannian manifolds
Architectures of neural networks applied for LVCSR language modeling
A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks
New trends in Cognitive Science: Integrative approaches to learning and development
Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
Learning from social media network
Stability analysis of inertial delayed neural network with delayed impulses via dynamic event-triggered impulsive control
Deep emotion change detection via facial expression analysis
SiamSMDFFF: Siamese network tracker based on shallow-middle-deep three-level feature fusion and clustering-based adaptive rectangular window filtering
Global μ-stability analysis of discrete-time complex-valued neural networks with leakage delay and mixed delays
Sparse-view X-ray CT reconstruction with Gamma regularization
Adversarial detection by approximation of ensemble boundary
A neural blockchain for a tokenizable e-Participation model
Constrained multi-agent evasion using deep reinforcement learning
The role of muscle spindles in constraining motor control
Online sequential reduced kernel extreme learning machine
Neural impedance adaption for assistive human-robot interaction
Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method
Accurate Ulva prolifera regions extraction of UAV images with superpixel and CNNs for ocean environment monitoring
Event graph based contradiction recognition from big data collection
Prescribed-time adaptive neural feedback control for a class of nonlinear systems
NeuronLab: BCI framework for the study of biosignals
Knock-Knock: Acoustic object recognition by using stacked denoising autoencoders
Two-dimensional relaxed representation
Adversarial scale-adaptive neural network for crowd counting
CAMGnet: A self-learning classification model for univariate continuous time series signals via dynamic fusion of multi-dimensional cross-domain features
Dual-ellipse fitting approach for robust gait periodicity detection
Approximation by neural networks is not continuous
All-in-one image restoration via diffusion models with degradation perception and semantic enhancement
On optimization of expertise matching with various constraints
Efficient Adaptive Label Refinement for label noise learning
An efficient and effective method to solve kernel Fisher discriminant analysis
Soft prompt-tuning for unsupervised domain adaptation via self-supervision
Robust optimal control for a class of nonlinear systems with unknown disturbances based on disturbance observer and policy iteration
Metric learning with feature decomposition for image categorization
Face recognition under varying illuminations with multi-scale gradient maximum response
An algorithm combined with color differential models for license-plate location
Protocol-based performance analysis of artificial neural networks and their applications
Prompt suffix-attack against text-to-image diffusion models
CDiNN - Convex difference neural networks
Dual perspective hierarchical alignment network for joint multimodal aspect-based sentiment analysis
ℓ 2, 1 norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification
Enhancement of online sequential extreme learning machine based on the householder block exact inverse QRD recursive least squares
Framelet based pan-sharpening via a variational method
Reconstruction based face occlusion elimination for recognition
Switching between memories in neural automata with synaptic noise
On topology, size and generalization of non-linear feed-forward neural networks
An efficient framework for unsupervised feature selection
Motor planning and sparse motor command representation
Modeling error detection in human brain: A preliminary unification of reinforcement learning and conflict monitoring theories
Bipartite consensus of matrix-weighted multi-agent systems with dynamic event-triggered mechanism: An adaptive observer-based approach
Unsupervised domain adaptation with adversarial learning for mass detection in mammogram
Pathway activity transformation for multi-class classification of lung cancer datasets
A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function
Parametric analysis of cerebellar LTD in eyelid conditioning
A novel noise robust fourth-order cumulants cost function
The definition of a measure of artificial neural network design quality based on a Statistical Index of Quality
A distortion-free contrast enhancement technique based on a perceptual fusion scheme
LiDAR semantic segmentation with local consistency constrained KPConv LSTM
Theoretical and experimental analysis on the generalizability of distribution regression network
Pixel-wise conditioned generative adversarial networks for image synthesis and completion
Multiview self-learning
Elimination of filtering indeterminacy in blind source separation
Presenting a new multiclass classifier based on learning automata
Tuning multi-objective multi-population evolutionary models for high-dimensional problems: The case of the migration process
A basic Growing Functional Modules "artificial brain"
Center-bridged Interaction Fusion for hyperspectral and LiDAR classification
H ∞ control for networked control systems with time delay, data packet dropout and disorder
A method to learn high-performing and novel product layouts and its application to vehicle design
Combining speech attribute detection and penalized logistic regression for phoneme recognition
Efficient Bayesian inference for harmonic models via adaptive posterior factorization
Learning general multi-agent decision model through multi-task pre-training
Depth map super-resolution using stereo-vision-assisted model
Reinforcement learning control for underactuated surface vessel with output error constraints and uncertainties
Improving GAN with inverse cumulative distribution function for tabular data synthesis
Two dimensional principal components of natural images and its application
Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances
Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties
A self-organizing network for mixed category perception
Video interpolation using optical flow and Laplacian smoothness
A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes
MFHNN-DDI: Molecular fragment-based hypergraph neural networks for drug-drug interaction prediction
AI methods for personality traits recognition: A systematic review
A possible mechanism of curvature coding in early vision
Graph similarity rectification for person search
Integral sliding mode synchronization control for Markovian jump inertial memristive neural networks with reaction-diffusion terms
State feedback controller design for synchronization of master-slave Boolean networks based on core input-state cycles
Semantic multimodal violence detection based on local-to-global embedding
Degradation regression with uncertainty for blind super-resolution
Discriminative multimodal embedding for event classification
TransCMFD: An adaptive transformer for copy-move forgery detection
Adaptive distributed formation control for multiple nonholonomic wheeled mobile robots
Neuroadaptive observer-based discrete-time command filtered fault-tolerant control for induction motors with load disturbances
Rethinking semantic-visual alignment in zero-shot object detection via a softplus margin focal loss
Modeling permeability and PVT properties of oil and gas reservoir using hybrid model based on type-2 fuzzy logic systems
Multi-layer quantum neural network controller trained by real-coded genetic algorithm
InferPy: Probabilistic modeling with deep neural networks made easy
A novel learning-based global path planning algorithm for planetary rovers
Multi-label feature selection based on max-dependency and min-redundancy
Information-based stealthy attacks against distributed state estimation over sensor networks
Image medium similarity measure and its applications
Wind speed forecasting using deep neural network with feature selection
Adaptive RBFNN-based fault-tolerant control for robotic manipulators with prescribed performance
Perceptual grouping in striate cortical networks mediated by synchronization and desynchronization
Post and repost: A holistic view of budgeted influence maximization
Ridgelet kernel regression
Deep recursive network for image denoising with global non-linear smoothness constraint prior
SDI: A sparse drift identification approach for force/torque sensor calibration in industrial robots
On the application of reservoir computing networks for noisy image recognition
Multiple fragment-level interactive networks for answer selection
A comprehensive overview of topic modeling: Techniques, applications and challenges
Boolean kernels for rule based interpretation of support vector machines
Dynamics of stochastic artificial neurons
Distributed adaptive finite-time output feedback containment control for nonstrict-feedback stochastic multi-agent systems via command filters
Learning multi-granularity features from multi-granularity regions for person re-identification
Research on dynamic modeling and simulation of axial-flow pumping system based on RBF neural network
Real-time semantic segmentation via sequential knowledge distillation
Cross-modal image fusion guided by subjective visual attention
Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG
Spatiotemporal semantic structural representation learning for image sequence prediction
A gated recurrent unit neural networks based wind speed error correction model for short-term wind power forecasting
Mutual information calculation using empirical classification
Integrating contrastive learning with dynamic models for reinforcement learning from images
Deep neural networks-prescribed performance optimal control for stochastic nonlinear strict-feedback systems
Tunable discounting and visual exploration for language models
Heterophily-aware fair recommendation using graph convolutional networks
Conciseness is better: Recurrent attention LSTM model for document-level sentiment analysis
A study of neural-network-based classifiers for material classification
Neural model of temporal and stochastic properties of binocular rivalry
Fusion of lattice independent and linear features improving face identification
Finite-time H ∞ control for quasi-one-sided Lipschitz nonlinear systems
Deep learning for 3D object recognition: A survey
Accelerating the standard backpropagation method using a genetic approach
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach
Multi-class multimodal semantic segmentation with an improved 3D fully convolutional networks
Agricultural surface water extraction in environmental remote sensing: A novel semantic segmentation model emphasizing contextual information enhancement and foreground detail attention
Hyperspectral anomaly change detection with slow feature analysis
Dynamic proposal sampling for weakly supervised object detection
Learning noise-decoupled affine models for extreme low-light image enhancement
Extended variational inference for gamma mixture model in positive vectors modeling
Joint feature embedding learning and correlation filters for aircraft tracking with infrared imagery
Margin-based active learning for LVQ networks
VFL - A deep learning-based framework for classifying walking gaits into emotions
Multistage RBF neural network ensemble learning for exchange rates forecasting
Query-aware video encoder for video moment retrieval
Fixed-time output synchronization of multilayered coupled networks with quaternion: An exponential quantized scheme
fabisearch: A package for change point detection in and visualization of the network structure of multivariate high-dimensional time series in R
Feature representation learning for image denoising
Multi-modal soft prompt-tuning for Chinese Clickbait Detection
Multi-granular embedding optimization with spatial-channel adaptive tuning for perceptual image quality assessment
Blind separation of fetal electrocardiograms by annealed expectation maximization
Supervised immune clonal evolutionary classification algorithm for high-dimensional data
Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting
Application of neural networks using quadratic junctions in cluster analysis
Ex-Fuzzy: A library for symbolic explainable AI through fuzzy logic programming
Passivity analysis of memristor-based recurrent neural networks with mixed time-varying delays
Graph Transformer-based Heterogeneous Graph Neural Networks enhanced by multiple meta-path adjacency matrices decomposition
Neocognitron trained by winner-kill-loser with triple threshold
Context-Aware Visual Abstraction of Crowded Parallel Coordinates
Filter unsupervised spectral feature selection method for mixed data based on a new feature correlation measure
An optimal kernel feature extractor and its application to EEG signal classification
Semantic consistency-based adaptive specificity hashing for cross-modal retrieval
Recent advancements in hybrid artificial intelligence systems and its application to real-world problems
A wearable-HAR oriented sensory data generation method based on spatio-temporal reinforced conditional GANs
Survey on visual rhythms: A spatio-temporal representation for video sequences
Behavioural study of median associative memory under true-colour image patterns
Semi-supervised feature selection analysis with structured multi-view sparse regularization
A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm
Self-organizing maps: Generalizations and new optimization techniques
Route guidance: Bridging system and user optimization in traffic assignment
A novel method for 2D nonrigid partial shape matching
Modular set of analog neural blocks
A novel approach to training neurons with biological plausibility