yusuke1997/dblp-id-title huggingface dataset:
Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data
Machine learning in finance - Guest editorial
Vision-based passenger head detection for carriage crowd density estimation
A SOM-based hybrid linear-neural model for short-term load forecasting
Neural Network Activities Within ESPRIT II
Global asymptotic stability analysis of nonlinear differential equations in hybrid bidirectional associative memory neural networks with distributed time-varying delays
Fast and robust learning in Spiking Feed-forward Neural Networks based on Intrinsic Plasticity mechanism
Adaptive neural network control of uncertain robotic manipulators with external disturbance and time-varying output constraints
Enriching Non-negative Matrix Factorization with Contextual Embeddings for Recommender Systems
An inertial projection neural network for sparse signal reconstruction via l1-2 minimization
Person group detection with global trajectory extraction in a disjoint camera network
Research on crack detection applications of improved PCNN algorithm in moi nondestructive test method
Online classification for object tracking based on superpixel
Exploiting the complementary strengths of multi-layer CNN features for image retrieval
Learning community structures: Global and local perspectives
Guest editorial: Adaptive and natural computing algorithms
Second-order consensus in directed networks of identical nonlinear dynamics via impulsive control
An ensemble of autonomous auto-encoders for human activity recognition
Single image dehazing based on learning of haze layers
RPCS v2.0: Object-detection-based recurrent point cloud selection method for 3D dense captioning
Delay-induced periodic oscillation for fractional-order neural networks with mixed delays
Corrigendum to "Eyebrow emotional expression recognition using surface EMG signals" [Neurocomputing 168 (2015) 871-879]
Biological modeling the undulatory locomotion of C. elegans using dynamic neural network approach
Generalization in neural networks: A broad survey
Perturbations of Tensor-Schur decomposition and its applications to multilinear control systems and facial recognitions
Construction of anatomically correct models of mouse brain networks
Phonation biomechanic analysis of Alzheimer's Disease cases
An data augmentation method for source code summarization
Stability and periodicity of discrete Hopfield neural networks with column arbitrary-magnitude-dominant weight matrix
Nature-inspired algorithms for 0-1 knapsack problem: A survey
A review of research on reinforcement learning algorithms for multi-agents
A survey on cooperative control strategies for DC microgrids
Recognizing complex events in real movies by combining audio and video features
Double-stream atrous network for shadow detection
Sampled-data state estimation for complex dynamical networks with time-varying delay and stochastic sampling
Finite-time synchronization of memristor-based Cohen-Grossberg neural networks with time-varying delays
Monocular 3D object detection using dual quadric for autonomous driving
Semi-supervised feature selection based on local discriminative information
Synchronous Multi-Stream Hidden Markov Model for offline Arabic handwriting recognition without explicit segmentation
Event-triggered global consensus of second-order multi-agent systems with asymmetric input saturation
Progressive conditional GAN-based augmentation for 3D object recognition
Tagging photos using users' vocabularies
New BFA method based on attractor neural network and likelihood maximization
Two practical performance indexes for monitoring the Rhine-Meuse Delta water network via wavelet-based probability density function
A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems
Intelligent approaches using support vector machine and extreme learning machine for transmission line protection
Efficient recording and retrieval of complex digital Fresnel holograms based on the line partitioned autoassociative memory
Adaptive finite-time dynamic surface tracking control of nonaffine nonlinear systems with dead zone
Effects of short-term synaptic plasticity in a local microcircuit on cell firing
Simulation of backpropagation networks on transputers
Class distribution-aware adaptive margins and cluster embedding for classification of fruit and vegetables at supermarket self-checkouts
Do not overestimate RGB: Improving image manipulation detection and localization via multi-noise-view fusion
Performance improvement of backpropagation algorithm by automatic activation function gain tuning using fuzzy logic
Capacity of perirhinal cortex network for recognising frequently repeating stimuli
Large-scale k-means clustering via variance reduction
Multi-proximity based embedding scheme for learning vector quantization-based classification of biochemical structured data
Set-valued functional neural mapping and inverse system approximation
Synchronization of multi-agent stochastic impulsive perturbed chaotic delayed neural networks with switching topology
Human behavior learning for robot in joint space
NN adaptive optimal tracking control for a class of uncertain nonstrict feedback nonlinear systems
Local ridge regression for face recognition
Multi-view cost-sensitive kernel learning for imbalanced classification problem
HDCPAA: A few-shot class-incremental learning model for remote sensing image recognition
Quantized consensus control for second-order multi-agent systems with nonlinear dynamics
The reward-attention circuit model: Nicotine's influence on attentional focus and consequences on attention deficit hyperactivity disorder
A model to explain the emergence of reward expectancy neurons using reinforcement learning and neural network
Ridgelet-based fake fingerprint detection
Inhibitory inputs increase a neurons's firing rate
Dual attentional transformer for video visual relation prediction
Identification of early-stage Alzheimer's disease using SFAM neural network
A full-function memristive pavlov associative memory circuit with inter-stimulus interval effect
Neural adaptive steering of an unmanned surface vehicle with measurement noises
Distracter-aware tracking via correlation filter
Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks
Position-aware representation learning with anatomical priors for enhanced pancreas tumor segmentation
Flexible neural trees ensemble for stock index modeling
A simplified low rank and sparse graph for semi-supervised learning
Multi-sensor fusion particle filtering for Boolean networks with multi-step randomly-delayed measurements
New term weighting schemes with combination of multiple classifiers for sentiment analysis
Neural Network Applications in Electrical Engineering
Low complexity, high throughput, energy efficient, pipelined and reconfigurable ASIC realization architecture for multi-layer perceptron models
Channel pruning for convolutional neural networks using l0-norm constraints
A novel one-layer recurrent neural network for the l 1 -regularized least square problem
Prediction of iron losses of wound core distribution transformers based on artificial neural networks
Data-driven predictive maintenance strategy considering the uncertainty in remaining useful life prediction
Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction
Synchronization analysis of coupled calcium oscillators based on two regular coupling schemes
Domain generalization via optimal transport with metric similarity learning
Unifying the syntax and semantics for math word problem solving
Dependency graph enhanced interactive attention network for aspect sentiment triplet extraction
Self-constraining and attention-based hashing network for bit-scalable cross-modal retrieval
Go ahead and do not forget: Modular lifelong learning from event-based data
Super-resolution of spatiotemporal event-stream image
Non-local channel aggregation network for single image rain removal
Output partitioning of neural networks
A spatio-frequency cross fusion model for deepfake detection and segmentation
Effect of correlations on signal transmission in a population of spiking neurons
RoleCF: Role-oriented coarse-to-fine emotion cause recognition for empathetic response generation
A unified evolutionary training scheme for single and ensemble of feedforward neural network
GSV-Cities: Toward appropriate supervised visual place recognition
A two-stage Markov blanket based feature selection algorithm for text classification
A spatial-spectral sparse dynamic graph learning network for hyperspectral image denoising
Multi-sensor information fusion in Internet of Vehicles based on deep learning: A review
Corrigendum to "Dual Focal Loss to address class imbalance in semantic segmentation" [Neurocomputing 462 (2021) 69-87]
Value activation for bias alleviation: Generalized-activated deep double deterministic policy gradients
High-order fuzzy clustering algorithm based on multikernel mean shift
Causal and Local Correlations Based Network for Multivariate Time Series Classification
Multi-source manifold feature transfer learning with domain selection for brain-computer interfaces
A method using long digital straight segments for fingerprint recognition
Sparsity in transformers: A systematic literature review
DITA: DETR with improved queries for end-to-end temporal action detection
Corrigendum to "Cluster-based adaptive metric classification" [Neurocomputing 81 (2012) 33-40]
Self-organizing time map: An abstraction of temporal multivariate patterns
A discrete gradient method to enhance the numerical behaviour of Hopfield networks
Existence of solutions for fractional impulsive neutral functional differential equations with infinite delay
A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors
MSL3D: 3D object detection from monocular, stereo and point cloud for autonomous driving
Adaptive quantized output feedback DSC of uncertain systems with output constraints and unmodeled dynamics based on reduced-order K-filters
Neuro-inspired dynamic dual-processing framework for object detection
Multi-agent actor centralized-critic with communication
Modified gradient algorithm for total least square filtering
Brain-spinal feedforward-feedback interactions affect output pattern and intracellular properties of motor networks in the lamprey
An edge guided coarse-to-fine generative network for image outpainting
Variational inference for Student-t MLP models
Shadow targets: A novel algorithm for topographic projections by radial basis functions
A Monte Carlo analysis of calcium dynamics and facilitation in nerve terminals
Human action recognition based on spatio-temporal three-dimensional scattering transform descriptor and an improved VLAD feature encoding algorithm
Pinning synchronization of coupled fractional-order time-varying delayed neural networks with arbitrary fixed topology
Dynamic analysis of a class of fractional-order neural networks with delay
Cooperative output regulation of heterogeneous linear multi-agent systems via fully distributed event-triggered adaptive control
Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns
Image set classification using candidate sets selection and improved reverse training
MSFNet: MultiStage Fusion Network for infrared and visible image fusion
Reduced-order K-filters based decentralized fuzzy adaptive control of stochastic large-scale nonlinear systems with stochastic input unmodeled dynamics
A role of synchronous firing of sensory-motor interface induced by noise in sign selective process generating jamming avoidance response
Phoneme discrimination from MEG data
Clustering-based mask recovery for image captioning
Sarcasm detection via incongruity-guided gated contrast-attention and contextualized-understanding network
Improved finite-time prescribed performance based adaptive neural control for nonlinear systems with sensor faults
A knowledge-guide hierarchical learning method for long-tailed image classification
Undirected cyclic graph based multiclass pair-wise classifier: Classifier number reduction maintaining accuracy
EPPE: An Efficient Progressive Policy Enhancement framework of deep reinforcement learning in path planning
Multi-view clustering with interactive mechanism
Stability analysis of delayed neural network based on the convex method and the non-convex method
Adversarially robust Fourier-aware multimodal medical image fusion for LSCI
Deep representation via convolutional neural network for classification of spatiotemporal event streams
Adaptive denoising graph contrastive learning with memory graph attention for recommendation
Adaptive finite-time flocking for uncertain nonlinear multi-agent systems with connectivity preservation
Distributed initialization-free algorithms for multi-agent optimization problems with coupled inequality constraints
Learning to blend vitality rankings from heterogeneous social networks
Unattached irregular scene text rectification with refined objective
Special issue on dynamic depth field data driven learning, recognition and computation
Let's do it right the first time: Survey on security concerns in the way to quantum software engineering
Neuroconsciousness: A theoretical framework
Exploiting background divergence and foreground compactness for salient object detection
Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation
Neural network-based fully distributed dynamic event-triggered formation-containment control for nonlinear multi-agent systems
IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons
Drug-target interactions prediction based on network topology feature representation embedded deep forest
Recent advances on image edge detection: A comprehensive review
Response Fusion Attention U-ConvNext for accurate segmentation of optic disc and optic cup
Diverse single image generation with controllable global structure
bnRep: A repository of Bayesian networks from the academic literature
Place cell firing shows an inertia-like process
Centipede optimization algorithm: Best-of-L local search with contractive consensus for constrained engineering optimization
A new test for the significance of neural network inputs
HGPE-tr: A hierarchical geometric position embedding transformer for point cloud registration
Progressive representation recalibration for lightweight super-resolution
Investigating over-parameterized randomized graph networks
Alleviating subgraph-induced oversmoothing in link prediction via coarse graining
RAPID: Enabling fast online policy learning in dynamic public cloud environments
TACL: A Trusted Action-enhanced Curriculum Learning Approach to Multimodal Affective Computing
Applications of Neural Networks for Industry in Europe
Friend-guard adversarial noise designed for electroencephalogram-based brain-computer interface spellers
Stability analysis of reaction-diffusion Cohen-Grossberg neural networks under impulsive control
Stability and Hopf bifurcation of a three-layer neural network model with delays
Data-driven model-free slip control of anti-lock braking systems using reinforcement Q-learning
Parallel boosted clustering
Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition
TranSalNet: Towards perceptually relevant visual saliency prediction
Joint diversity regularization and graph regularization for multiple kernel k-means clustering via latent variables
SOM time series clustering and prediction with recurrent neural networks
Stochastic stability and performance analysis of Cubature Kalman Filter
Pavlov associative memory in a memristive neural network and its circuit implementation
GAN-based watermarking for encrypted images in healthcare scenarios
Anomalous response variability in a balanced cortical network model
A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models
First SN P visual cryptographic circuit with astrocyte control of structural plasticity for security applications
Graph-based multiple rank regression for image classification
Adding reliability to ELM forecasts by confidence intervals
Improving classification with latent variable models by sequential constraint optimization
Intrusion detection approach based on optimised artificial neural network
Independent components of natural images under variable compression rate
Application of neural networks for analyzing and encoding of fingerprints
Estimating ά-frontier technical efficiency with shape-restricted kernel quantile regression
Multiple bifurcations in a harmonic oscillator with delayed feedback
Review the state-of-the-art technologies of semantic segmentation based on deep learning
Internal reinforcement adaptive dynamic programming for optimal containment control of unknown continuous-time multi-agent systems
Identification of significant factors for air pollution levels using a neural network based knowledge discovery system
Convex incremental extreme learning machine
Feature extraction using adaptive slow feature discriminant analysis
Broad learning system with manifold regularized sparse features for semi-supervised classification
Clustering of the Self-Organizing Time Map
A new blind image quality framework based on natural color statistic
The calculation of neuronal signal-to-noise ratios using sine-wave estimation of the system kernel
Learning nonlinear manifolds based on mixtures of localized linear manifolds under a self-organizing framework
Adaptive fuzzy finite-time command filtered tracking control for permanent magnet synchronous motors
A primal-dual method for SVM training
At what time scale does the nervous system operate?
Reasoning in dynamic systems: From raw data to temporal abstract information
Finite-time state observer for delayed reaction-diffusion genetic regulatory networks
Towards stereoscopic vision: Attention-guided gaze estimation with EEG in 3D space
Masked face detection via a modified LeNet
Towards a more efficient and cost-sensitive extreme learning machine: A state-of-the-art review of recent trend
WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting
Towards understanding the effect of leak in Spiking Neural Networks
Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks
Training RBF network to tolerate single node fault
Distributed extremum seeking control of multi-agent systems with unknown dynamics for optimal resource allocation
Fractional differential and variational method for image fusion and super-resolution
An anomaly detection framework for time-evolving attributed networks
Prescribed finite-time adaptive neural trajectory tracking control of quadrotor via output feedback
Pedestrian recognition in multi-camera networks based on deep transfer learning and feature visualization
Incremental tensor biased discriminant analysis: A new color-based visual tracking method
Adaptive RBF neural-networks control for a class of time-delay nonlinear systems
A new approach to the design of reinforcement schemes for learning automata: Stochastic estimator learning algorithm
Learning vector quantization for (dis-)similarities
A classification and regression assisted optimization algorithm for high-dimensional expensive many-objective problems
Exploiting class-wise coding coefficients: Learning a discriminative dictionary for pattern classification
Non-convex weighted ℓ p nuclear norm based ADMM framework for image restoration
Recurrent dictionary learning for state-space models with an application in stock forecasting
Stability analysis of complex ICA by negentropy maximization: A unique perspective
Similarity-based domain adaptation network
A study of glottal excitation synthesizers for different voice qualities
Learning matrix quantization and relevance learning based on Schatten-p-norms
An efficient algorithm for distributed density-based outlier detection on big data
Document-level event argument linking as machine reading comprehension
Dual graph regularized compact feature representation for unsupervised feature selection
Path planning based on improved deep Q-network algorithm for bionic robotic fish with ocean currents
Probabilistic speech feature extraction with context-sensitive Bottleneck neural networks
Admissibility analysis for Takagi-Sugeno fuzzy singular systems with time delay
Bio-inspired architecture for static object segmentation in time varying background models from video sequences
Geometric attentional dynamic graph convolutional neural networks for point cloud analysis
Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling
Hierarchical Itemspace Rank: Exploiting hierarchy to alleviate sparsity in ranking-based recommendation
Desynchronization attacks resilient image watermarking scheme based on global restoration and local embedding
Streamer action recognition in live video with spatial-temporal attention and deep dictionary learning
Synaptic equalization by anti-STDP
Unsupervised domain adaptation via style adaptation and boundary enhancement for medical semantic segmentation
Category-consistent deep network learning for accurate vehicle logo recognition
Dynamic-aware self-attention with embedded CWT for imbalanced ECG classification in cardiac disease detection
Energy saving - Another perspective for parameter optimization of P and PI controllers
Adversarial-learning-based image-to-image transformation: A survey
Ellipsoidal support vector regression based on second-order cone programming
Consistency and error analysis of Prior-Knowledge-Based Kernel Regression
RRAECL: A Riemannian manifold graph representation and enhanced contrastive learning framework for label-efficient Alzheimer's disease diagnosis
A dynamic architecture for artificial neural networks
Self-paced active learning for deep CNNs via effective loss function
Echo state network with a non-convex penalty for nonlinear time series prediction
Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition
Sparse Gaussian processes with manifold-preserving graph reduction
Foreground natural anomaly synthesis for attention guided anomaly detection
Online discriminative dictionary learning for robust object tracking
Exponential synchronization of stochastic Cohen-Grossberg neural networks driven by G -Brownian motion
Collecting pedestrian trajectories
A contrastive learning framework for Event Detection via semantic type prototype representation modelling
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems
Cluster synchronization in complex networks of nonidentical dynamical systems via pinning control
PPPNE: Personalized proximity preserved network embedding
An autonomous learning mobile robot using biological reward modulate STDP
Finding graph minimum stable set and core via semi-tensor product approach
Feature importance in machine learning models: A fuzzy information fusion approach
On scheduling of deception attacks for discrete-time networked systems equipped with attack detectors
A complex network approach for dynamic texture recognition
PCA filtering and probabilistic SOM for network intrusion detection
Caster: Cartoon style transfer via dynamic cartoon style casting
Multi-scene ancient chinese text recognition
Some new results on periodic solution of Cohen-Grossberg neural network with impulses
Finite-time H ∞ control for a class of nonlinear system with time-varying delay
Leader-following synchronization of complex dynamic networks via event-triggered impulsive control
Mitigating impacts of hyperedge heterogeneity on semi-supervised hypergraph contrastive learning
Multi-level region-based Convolutional Neural Network for image emotion classification
Design of adaptive backstepping dynamic surface control method with RBF neural network for uncertain nonlinear system
Monte Carlo Convex Hull Model for classification of traditional Chinese paintings