yusuke1997/dblp-id-title huggingface dataset:
A hybrid optimization-based recurrent neural network for real-time data prediction
A multidimensional dynamic time warping algorithm for efficient multimodal fusion of asynchronous data streams
SEMKR: Joint learning of semantic and topological representations for Knowledge Graph Completion
Non-goal scene analysis for soccer video
Semi-supervised heterogeneous domain adaptation for few-sample credit risk classification
A computational model of attentive visual system induced by cortical neural network
RLDDE: A novel reinforcement learning-based dimension and delay estimator for neural networks in time series prediction
Kernel machine-based rank-lifting regularized discriminant analysis method for face recognition
PSGAN: Revisit the binary discriminator and an alternative for face frontalization
Neural networks in interpolation problems
Error-constrained reliable tracking control for discrete time-varying systems subject to quantization effects
Novel algorithms of attribute reduction with variable precision rough set model
Binary social impact theory based optimization and its applications in pattern recognition
Consensus of multi-agent systems with time delay based on periodic sample and event hybrid control
Graph over-parameterization: Why the graph helps the training of deep graph convolutional network
L0 structure-prior assisted blur-intensity aware efficient video deblurring
How to find appropriate automobile exhibition halls: Towards a personalized recommendation service for auto show
A new optimization in SDP-based learning
Multi-view kernel machine on single-view data
Analysis and comparison of aircraft landing control using recurrent neural networks and genetic algorithms approaches
Multilingual neural machine translation for low-resource languages by twinning important nodes
JSENet: A deep convolutional neural network for joint image super-resolution and enhancement
Nonlinear interactions of excitatory and inhibitory subsystems in direction-selective cell models
Atom-substituted tensor dictionary learning enhanced convolutional neural network for hyperspectral image classification
Joint distortion rectification and super-resolution for self-driving scene perception
Brain inspired cognitive systems (BICS)
Synchronization for fractional-order reaction-diffusion competitive neural networks with leakage and discrete delays
Comparison of 3D local and global descriptors for similarity retrieval of range data
Event-triggered network-based synchronization of delayed neural networks
Non-fragile consensus control for singular multi-agent systems with Lipschitz nonlinear dynamics
A GA-based feature selection and parameter optimization for linear support higher-order tensor machine
Intelligent load frequency controller using GrADP for island smart grid with electric vehicles and renewable resources
DAD++: Improved data-free test time adversarial defense
A large-scale neuroanatomical model of attention implemented as a computer simulation
Simulating human generalization-and-approximation capability by minimal layer networks loaded with minimal samples
Multi-negative samples with Generative Adversarial Networks for image retrieval
Multi-view clustering integrating anchor attribute and structural information
The generalization error of graph convolutional networks may enlarge with more layers
Adaptive neural network finite-time optimal control for unmanned surface vehicle system
Network-based filtering for positive systems with random communication delays and deception attacks
Fully-tuned fuzzy neural network based robust adaptive tracking control of unmanned underwater vehicle with thruster dynamics
Unifying domain gap in Federated Learning: A geometric approach
Exponential stability analysis for discrete-time quaternion-valued neural networks with leakage delay and discrete time-varying delays
Dissipativity-based state estimation for Markov jump discrete-time neural networks with unreliable communication links
Scalable NAS with factorizable architectural parameters
Efficient design of multicolumn RBF networks
A multi relational graph-based approach for stock movement prediction and portfolio optimization
Generalization by symbolic abstraction in cascaded recurrent networks
A parallel hierarchical clustering algorithm for PCs cluster system
Accelerated gradient algorithm for RBF neural network
A spiking neural network model of midbrain visuomotor mechanisms that avoids objects by estimating size and distance monocularly
Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context
Decoding before aligning: Scale-Adaptive Early-Decoding Transformer for visual grounding
Tree-based compact hashing for approximate nearest neighbor search
Parameter-free image segmentation with SLIC
Adaptive quantized control of switched stochastic nonlinear systems
RoFormer: Enhanced transformer with Rotary Position Embedding
LABNet: Local graph aggregation network with class balanced loss for vehicle re-identification
Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors
MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation
Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition
A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos
Palmprint recognition algorithm with horizontally expanded blanket dimension
Retinal optical coherence tomography image classification with label smoothing generative adversarial network
Modeling the skeleton-language uncertainty for 3D action recognition
How to select an optimal neural model of chemical reactivity?
Parametric and nonparametric residual vector quantization optimizations for ANN search
Blind source separation of functional MRI scans of the human brain based on canonical correlation analysis
Efficient transformer-based semantic segmentation of colonic polyps using SegFormer
Active learning and data manipulation techniques for generating training examples in meta-learning
Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection
Two discrete ZNN models for solving time-varying augmented complex Sylvester equation
Twitter data models for bank risk contagion
Switching LPV approach for analysis and control of TCP-based cyber-physical systems under DoS attack
Constrained Laplacian Eigenmap for dimensionality reduction
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users
The best answer prediction by exploiting heterogeneous data on software development Q&A forum
LCSED : A low complexity CNN based SED model for IoT devices
A filter bank approach to independent component analysis for convolved mixtures
A real-scale anatomical model of the dentate gyrus based on single cell reconstructions and 3D rendering of a brain atlas
Affine formation control for heterogeneous multi-agent systems with directed interaction networks
Local Rademacher complexity bounds based on covering numbers
Atrous convolutional feature network for weakly supervised semantic segmentation
Feature aggregation with transformer for RGB-T salient object detection
A new support vector machine with an optimal additive kernel
Adaptive output feedback dynamic surface control of nonlinear systems with unmodeled dynamics and unknown high-frequency gain sign
Periodicity and synchronization of coupled memristive neural networks with supremums
Two-stage learning for multi-class classification using genetic programming
Off-policy safe reinforcement learning for nonlinear discrete-time systems
Multi-channel features based automated segmentation of diffusion tensor imaging using an improved FCM with spatial constraints
A graph embedding based model for fine-grained POI recommendation
Effective method for detecting malicious PowerShell scripts based on hybrid features ☆
Exact solution of the nonlinear dynamics of recurrent neural mechanisms for direction selectivity
Side-constrained graph fusion for semi-supervised multi-view clustering
Bio-inspired systems: Computational and ambient intelligence
The unreasonable effectiveness of early discarding after one epoch in neural network hyperparameter optimization
Entorhinal neuronal activity during delayed matching tasks may depend upon muscarinic-induced non-specific cation current I(CANM)
Interval-valued data prediction via regularized artificial neural network
PWM-driven model predictive speed control for an unmanned surface vehicle with unknown propeller dynamics based on parameter identification and neural prediction
Bayesian calibration for multiple source regression model
Simulation of neocortical epileptiform activity using parallel computing
Feature selection for distance-based regression: An umbrella review and a one-shot wrapper
A light-weight, efficient, and general cross-modal image fusion network
Traffic sign segmentation and classification using statistical learning methods
Decoding the torque of lower limb joints from EEG recordings of pre-gait movements using a machine learning scheme
Multi-modal cognitive maps for language and vision based on neural successor representations
Extreme learning machine based supervised subspace learning
Multi-task learning based survival analysis for multi-source block-wise missing data
Biologically plausible unsupervised learning for self-organizing spiking neural networks with dendritic computation
Gradient compensation traces based temporal difference learning
Review of robot-assisted medical ultrasound imaging systems: Technology and clinical applications
Parallel Spatiotemporal Network to recognize micro-expression
A complementary facial representation extracting method based on deep learning
A novel watermarking framework for intellectual property protection of NLG APIs
Data-driven adaptive consensus control for heterogeneous nonlinear Multi-Agent Systems using online reinforcement learning
Unified granular neural networks for pattern classification
Decision-making model for selecting products through online product reviews utilizing natural language processing techniques
Image noise smoothing using a modified Kalman filter
CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features
Optimal control strategies and target selection in multi-pursuer multi-evader differential games
LEGION-based image segmentation by means of spiking neural networks using normalized synaptic weights implemented on a compact scalable neuromorphic architecture
DSU-Net: A Dynamic Stage Unfolding Network for high-noise image compressive sensing denoising
Tau Net A neural network for modeling temporal variability
Content-based onboard compression for remote sensing images
Cost-effective Batch-mode Multi-label Active Learning
Methods and datasets on semantic segmentation: A review
Global stability of complex-valued recurrent neural networks with both mixed time delays and impulsive effect
Multi-scale and multi-branch feature representation for person re-identification
Single/cross-camera multiple-person tracking by graph matching
Multilayer neural networks-based direct adaptive control for switched nonlinear systems
Lag formation control for nonlinear second-order multiagent systems without and with external disturbances
Kernel recursive maximum correntropy with Nyström approximation
Neural networks optimized learning control of state constraints systems
GABAergic excitation in striatal projection neurons: Simulations and experiments
An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks
Study of the contrast processing in the early visual system using a neuromorphic retinal architecture
Nonlinear adaptive control using multiple models and dynamic neural networks
Effective hybrid load scheduling of online and offline clusters for e-health service
Delay-dependent passivity analysis of impulsive neural networks with time-varying delays
A biologically inspired spiking neural network model of the auditory midbrain for sound source localisation
Learning sequences of sparse correlated patterns using small-world attractor neural networks: An application to traffic videos
A CRNN module for hand pose estimation
Improve scene classification by using feature and kernel combination
Distributed mirror descent method for multi-agent optimization with delay
A depth video processing algorithm based on cluster dependent and corner-ware filtering
Predicting nonlinear dynamic systems by causal physics-informed neural networks with ResNet blocks
Training neural networks for classification using growth probability-based evolution
Multi-view gait recognition using a doubly-kernel approach on the Grassmann manifold
VoD: A novel image representation for head yaw estimation
Convolutional feature learning and Hybrid CNN-HMM for scene number recognition
Multi-scale stacking attention pooling for remote sensing scene classification
Graph-preserving shortest feature line segment for dimensionality reduction
Multiple periodic orbits from Hopf bifurcation in a hierarchical neural network with Dn×Dn-symmetry and delays
Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme
Superadditive effect of multi-robot coordination in the exploration of unknown environments via stigmergy
Exponentially stable guaranteed cost control for continuous and discrete-time Takagi-Sugeno fuzzy systems
Effects of NMDA and non-NMDA receptors antagonists on the dynamic behavior of cultured cortical networks
Relay knowledge distillation for efficiently boosting the performance of shallow networks
Blind source separation using algorithmic information theory
Sampled-data adaptive prescribed performance control of a class of nonlinear systems
Exponential locality preserving projections for small sample size problem
Novel delay-dependent robust stability criteria for neutral stochastic delayed neural networks
Extreme learning machine: Theory and applications
Fuzzy controller applied to electric vehicles with continuously variable transmission
AutoGAN-based dimension reduction for privacy preservation
Controlling neuronal sensitivity to synchronous input
A metric-learning method for few-shot cross-event rumor detection
Spreading activation methods in information retrieval - A connectionist approach
Efficient attention based deep fusion CNN for smoke detection in fog environment
Trust-aware denoising autoencoder with spatial-temporal activity for cross-domain personalized recommendations
Semi-seg: Semi-supervised learning framework for image segmentation
SC2-Net: Self-supervised learning for multi-view complementarity representation and consistency fusion network
The bias in reversing the Box-Cox transformation in time series forecasting: An empirical study based on neural networks
Some novel classification and learning methods and applications for neural networks - Selected papers from the Second International Conference on Bio-Inspired Computing: Theories and Applications
Cross-domain activity recognition via substructural optimal transport
Asymptotic stability analysis of neural networks with successive time delay components
The construction of minimal multilayered perceptrons: A case study for sorting
MMAN: Multi-modality aggregation network for brain segmentation from MR images
Cephalometric landmark detection by considering translational invariance in the two-stage framework
Data-based stable value iteration optimal control for unknown discrete-time systems with time delays
Adaptive iterative learning consensus control for second-order multi-agent systems with unknown control gains
Dual states based reinforcement learning for fast MR scan and image reconstruction
Efficient hyperspectral image segmentation for biosecurity scanning using knowledge distillation from multi-head teacher
A structure optimisation algorithm for feedforward neural network construction
Sigmoidal radial basis function ANN for QRS complex detection
Dual-scale structural local sparse appearance model for robust object tracking
Adaptive optimal control for reference tracking independent of exo-system dynamics
Noise-free representation based classification and face recognition experiments
Reorganized DCT-based image representation for reduced reference stereoscopic image quality assessment
Observer-based dynamic surface control for flexible-joint manipulator system with input saturation and unknown disturbance using type-2 fuzzy neural network
Synchronization between two general complex networks with time-delay by adaptive periodically intermittent pinning control
Distributed detection with fuzzy censoring sensors in the presence of noise uncertainty
Interpretable neural network classification model using first-order logic rules
Power-law-based preassigned-time bipartite output consensus for heterogeneous multi-agent systems under event-triggered control
Deep neural networks for emerging multimedia computing and applications
EEG model stability and online decoding of attentional demand during gait using gamma band features
Robust persistent activity in neural fields with asymmetric connectivity
Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing
A proof of the non-existence of a bounded-derivative continuous model for a discrete chaotic system
An effective framework with hybrid augmentation for visual reinforcement learning generalization
Single image super resolution based on sparse domain selection
Improved discriminant locality preserving projections for face and palmprint recognition
Semantics-driven attentive few-shot learning over clean and noisy samples
A hybrid approach combining an extended BBO algorithm with an intuitionistic fuzzy entropy weight method for QoS-aware manufacturing service supply chain optimization
AUC maximization linear classifier based on active learning and its application
Emotional state classification from EEG data using machine learning approach
Category boundary re-decision by component labels to improve generation of class activation map
Joint nonnegative matrix factorization and network embedding for graph co-clustering
Robust extraction of specific signals with temporal structure
Software measurement data reduction using ensemble techniques
Multi-scale semantic image inpainting with residual learning and GAN
Rule-dynamical approach to hippocampal network
Self-oscillatory dynamics in recurrent excitatory networks
Auditory localization using direction-dependent spectral information
Finite-horizon distributed H ∞ -consensus control of time-varying multi-agent systems with Round-Robin protocol
Kernelising the Proportional Odds Model through kernel learning techniques
Context-dependent neuro-symbolic AI through self-supervised learning with large language models
Joint estimation of states and parameters of Hodgkin-Huxley neuronal model using Kalman filtering
Passivity and passification for stochastic Takagi-Sugeno fuzzy systems with mixed time-varying delays
Design and analysis of associative memories based on external inputs of delayed recurrent neural networks
Event-triggered adaptive neural networks tracking control for incommensurate fractional-order nonlinear systems with external disturbance
Depth-images-based pose estimation using regression forests and graphical models
Optimized projections for nonnegative linear reconstruction classification
Image stitching via deep homography estimation
Speed estimation of an induction motor using Elman neural network
A biophysical model of short-term plasticity at the calyx of Held
Constrained adaptive neural control for a class of nonstrict-feedback nonlinear systems with disturbances
Editorial: recent research in medical technology based on multimedia and pattern recognition
Deep octonion networks
Top-down attention to complement independent component analysis for blind signal separa
Robust L 1 -norm multi-weight vector projection support vector machine with efficient algorithm
A comparative study of medium-weather-dependent load forecasting using enhanced artificial/fuzzy neural network and statistical techniques
Deep learning for brain disorder diagnosis based on fMRI images
Spatiotemporal clustering of synchronized bursting events in neuronal networks
A review of privacy-preserving research on federated graph neural networks
Finite time anti-synchronization of complex-valued neural networks with bounded asynchronous time-varying delays
Learning with similarity functions: A novel design for the extreme learning machine
Recursive filtering for communication-based train control systems with packet dropouts
Stability analysis of complex-valued neural networks with probabilistic time-varying delays
Quaternion-based inter-channel correlation learning for fine-grained medical image segmentation
Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours
FPFS: Filter-level pruning via distance weight measuring filter similarity
Multimodality in a dynamic feedback network with stochastic input
Evaluating facial recognition web services with adversarial and synthetic samples
A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks
Discriminant similarity and variance preserving projection for feature extraction
Riemann-Theta Boltzmann machine
Automatic agent generation for IoT-based smart house simulator
Robust wavelet network control for a class of autonomous vehicles to track environmental contour line
Self-paced contrastive learning for knowledge tracing
On the use of forward kinematic models in visually guided hand position control - analysis based on ISLES model
Adaptive event-triggered optimal H∞ tracking control for uncertain nonlinear systems: Comparative analysis applied to autonomic tractor-trailer system
Unsupervised skeleton extraction and motion capture from 3D deformable matching
Revealing concealed spontaneous facial micro-expression: Are we a step closer to unveil real-life behavioral expressions?
Blending 3D geometry and machine learning for multi-view stereopsis
Learning from data streams using kernel least-mean-square with multiple kernel-sizes and adaptive step-size
Application of wavelet energy and Shannon entropy for feature extraction in gearbox fault detection under varying speed conditions
ACF-R+: An asymmetry-sensitive method for image-text retrieval enhanced by cross-modal fusion and re-ranking based on contrastive learning
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q-learning with monocular vision
Efficient tick-shape networks of full-residual point-depth-point blocks for image classification
Advanced Neurocomputing Theory and Methodology
A variational based smart segmentation model for speckled images
Kernel methods: a survey of current techniques
Hierarchical multi-class classification in multimodal spacecraft data using DNN and weighted support vector machine
Engineering central pattern generated behaviors for the deployment of robotic systems
Navigation satellite selection using neural networks
Efficient continual learning in neural networks with embedding regularization
Human authentication featuring signatures and tokenised random numbers
A modular neural network for direction-of-arrival estimation of two sources
Effective use of color information for large scale face verification
Event-triggered control for exponential synchronization of reaction-diffusion fractional-order Clifford-valued delayed neural networks and its application to image encryption
Efficient dimension reduction for high-dimensional matrix-valued data
Training with scaled logits to alleviate class-level over-fitting in few-shot learning
Corrigendum to "A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion" [Neurocomputing 168 (2015) 365-381]
FSD-10: A fine-grained classification dataset for figure skating
Hybrid Neural Network Predictive-Wavelet Image Compression System