yusuke1997/dblp-id-title huggingface dataset:
Irregular connectivity in neural layers yields temporally stable activity patterns
A sub-pixel mapping method based on an attraction model for multiple shifted remotely sensed images
Efficient and transferable reversible adversarial attacks utilizing YUV color space
Privacy-preserving small target defect detection of heat sink based on DeceFL and DSUNet
Simplified models of neocortical pyramidal cells preserving somatodendritic voltage attenuation
Feature selection based on quality of information
Dual-matching as a problem solved by neurons
Decoding natural images from EEG signals using a learnable multi-band spatio-temporal encoder
Convolutional relation network for skeleton-based action recognition
H ∞ control of T-S fuzzy fish population logistic model with the invasion of alien species
Robust adaptive fault-tolerant control for uncertain nonlinear system with unmodeled dynamics based on fuzzy approximation
Decentralized adaptive NN state-feedback control for large-scale stochastic high-order nonlinear systems
Unsupervised feature extraction with autoencoder trees
Integrated real-time vision-based preceding vehicle detection in urban roads
Adaptive scalarization in multi-objective reinforcement learning for enhanced robotic arm control
SpaceNet: Make Free Space for Continual Learning
Prescribed-time cluster synchronization of uncertain complex dynamical networks with switching via pinning control
Dominant vanishing point detection in the wild with application in composition analysis
Image Set Representation and Classification with Attributed Covariate-Relation Graph Model and Graph Sparse Representation Classification
Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval
A neural model of frontostriatal interactions for behavioural planning and action chunking
Head pose estimation with soft labels using regularized convolutional neural network
Single image super-resolution incorporating example-based gradient profile estimation and weighted adaptive p -norm
Multi-level sparse network lasso: Locally sparse learning with flexible sample clusters
PointCutMix: Regularization strategy for point cloud classification
Robust multi-view fuzzy clustering via softmin
A novel dynamic multi-model relevance feedback procedure for content-based image retrieval
Zero-shot policy generation in lifelong reinforcement learning
Automatic detection of anatomical landmarks in brain MR scanning using multi-task deep neural networks
PolSAR image classification via a novel semi-supervised recurrent complex-valued convolution neural network
Local linear correlation analysis with the SOM
M-GWNN: Multi-granularity graph wavelet neural networks for semi-supervised node classification
Learning nonseparable sparse regularizers via multivariate activation functions
Unsupervised detail-preserving network for high quality monocular depth estimation
Knowledge guided controllable diffusion for enhanced autonomous driving scenarios generation
A bio-inspired modular hierarchical structure to plan the sit-to-stand transfer under varying environmental conditions
A novel model predictive control scheme based on bees algorithm in a class of nonlinear systems: Application to a three tank system
Neural networks-based adaptive event-triggered consensus control for a class of multi-agent systems with communication faults
Neural-network-based multiple feedback long-range predictive control
A visual attention based ROI detection method for facial expression recognition
An algorithm for classification over uncertain data based on extreme learning machine
Multi-modal Multimedia Big Data Analyzing Architecture and Resource Allocation on Cloud Platform
A jointly distributed semi-supervised topic model
SI: ICONIP 2015: Learning algorithms and classification systems
Altered sensory filtering and coding properties by synaptic dynamics in the electric sense
Terminal attractor algorithms: A critical analysis
The BeiHang Keystroke Dynamics Systems, Databases and baselines
Response of a LIF neuron to inputs filtered with arbitrary time scale
A model of target selection based on goal-dependent modulation
Simple yet effective: An explicit query-based relation learner for human-object-interaction detection
Semantic similarity method for keyword query system on RDF
A two-stage image enhancement and dynamic feature aggregation framework for gastroscopy image segmentation
A solution to the feature correspondence problem inspired by visual scanpaths
Dendritic filtering determines the frequency-dependent spike train correlations
The ecology of gaze shifts
Multi-level network modeling of cortical dynamics built on the GENESIS environment
Dissimilate-and-assimilate strategy for video anomaly detection and localization
DPG-Net: Densely progressive-growing network for point cloud completion
A band grouping-based hybrid convolution for hyperspectral image super-resolution
Rapid multimodality registration based on MM-SURF
Pruning convolutional neural networks for inductive conformal prediction
An in-depth look at approximation via deep and narrow neural networks
Bi-Connect Net for salient object detection
Neuromuscular control of reactive behaviors for undulatory robots
Automated neuropsychological scale assessment via LLMs: Patient simulation and prompting for scalable AD screening
Fixed-time event-triggered synchronization of a multilayer Kuramoto-oscillator network
Sufficient conditions for self-organisation in the one-dimensional SOM with a reduced width neighbourhood
Multi-ethnic facial features extraction based on axiomatic fuzzy set theory
Federated learning by employing knowledge distillation on edge devices with limited hardware resources
Encryption-decryption-based distributed state estimation against eavesdropping attacks over sensor networks with communication protocol
Saliency driven vasculature segmentation with infinite perimeter active contour model
Infrared head pose estimation with multi-scales feature fusion on the IRHP database for human attention recognition
Predicting the popularity of viral topics based on time series forecasting
Supportive automatic annotation of early esophageal cancer using local gabor and color features
Invariant pattern recognition using analog recurrent associative memories
Image classification by visual bag-of-words refinement and reduction
Learning interpretable dynamics: Influence-based clustering of energy consumption time series
Adversarial purification of information masking
Less conservative results of state estimation for neural networks with time-varying delay
QUAV flight control based on axially symmetric DRL
The generative adversarial network improved by channel relationship learning mechanisms
Weighted dual hesitant fuzzy set and its application in group decision making
Recursive state estimation for complex networks with random coupling strength
Selective region enlargement network for fast object detection in high resolution images
The role of glyclinergic interneurons in the dorsal column nuclei
Gene and sample selection for cancer classification with support vectors based t-statistic
New algebraic conditions for global exponential stability of delayed recurrent neural networks
Self-supervised multi-body scene flow estimation
Finite-time recurrent neural networks for solving nonlinear optimization problems and their application
Online Sequential Extreme Learning Machine for watermarking in DWT domain
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition
Few-shot image classification with composite rotation based self-supervised auxiliary task
A novel intelligent method for mechanical fault diagnosis based on dual-tree complex wavelet packet transform and multiple classifier fusion
Average consensus in sensor networks via broadcast multi-gossip algorithms
Multistability in Mittag-Leffler sense of fractional-order neural networks with piecewise constant arguments
Detection of spam-posting accounts on Twitter
Learning spatio-temporal correlation filter for visual tracking
Multi2Human: Controllable human image generation with multimodal controls
Isolated word recognition in Slovak via neural nets
Fault detection for a class of industrial processes based on recursive multiple models
Unsupervised discovery of crowd activities by saliency-based clustering
Epistemic graph: A plug-and-play module for hybrid representation learning
Dynamic surface error constrained adaptive fuzzy output-feedback control of uncertain nonlinear systems with unmodeled dynamics
Cross-modal uncertainty modeling framework for unseen video anomaly detection
A new approach to solve the traveling salesman problem
Automated diagnosis of neonatal encephalopathy on aEEG using deep neural networks
Fast neural network simulations with population density methods
Chaos control and synchronization via a novel chatter free sliding mode control strategy
Towards robust and generalizable training: An empirical study of noisy slot filling for input perturbations
Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength
Input-to-state stability of delayed reaction-diffusion neural networks with impulsive effects
Bifurcations in Morris-Lecar neuron model
Design and analysis of a noise-suppression zeroing neural network approach for robust synchronization of chaotic systems
Exponential control design on fixed-time synchronization of fully quaternion-valued memristive delayed neural networks without decomposition
Edges and line minimally mask width discrimination of rectangles
Connection pruning with static and adaptive pruning schedules
Knowledge fusion distillation and gradient-based data distillation for class-incremental learning
NAVIS: Neuromorphic Auditory VISualizer Tool
Self-weighted spectral clustering with parameter-free constraint
Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data
Backward bifurcation and local dynamics of epidemic model on adaptive networks with treatment
Semantic complex event processing model for reasoning research activities
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise
Adaptive fixed-time dynamic surface tracking control for high-order nonstrict-feedback nonlinear switched systems
Modelling the firing pattern of bullfrog vestibular neurons responding to naturalistic stimuli
A new Gabor based approach for wood recognition
Gene selection in autism - Comparative study
Information geometry of hyperbolic-valued Boltzmann machines
Automatic zipper tape defect detection using two-stage multi-scale convolutional networks
Multi-task ranking SVM for image cosegmentation
A multi-attention and depthwise separable convolution network for medical image segmentation
Infrared flame detection based on a self-organizing TS-type fuzzy neural network
StyleBoost: Controlling style-content fusion with SVD for text-driven
CorAFR: Arbitrary-time frame reconstruction from motion-blurred and correlation images
Online tracking based on efficient transductive learning with sample matching costs
Generation of cyclic/toroidal chaos by Hopfield neural networks
First and second order sensitivity analysis of MLP
Separating corneal reflections for illumination estimation
Stylistics analysis and authorship attribution algorithms based on self-organizing maps
High-resolution optical flow and frame-recurrent network for video super-resolution and deblurring
Saliency detection based on integrated features
An efficient unconstrained facial expression recognition algorithm based on Stack Binarized Auto-encoders and Binarized Neural Networks
Exponential adaptive synchronization of stochastic memristive chaotic recurrent neural networks with time-varying delays
Special issue for the SBRN Guest Editorial
The existence of nonzero almost periodic solution for Cohen-Grossberg neural networks with continuously distributed delays and impulses
Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction
LCrowdV: Generating labeled videos for pedestrian detectors training and crowd behavior learning
Interference-less neural network training
Improved adaptive NN backstepping control design for a perturbed PVTOL aircraft
Statistical margin error bounds for L 1 -norm support vector machines
Finding intrinsic color themes in images with human visual perception
Behavioral psychology of LLMs: Better task guidance through punishment and reinforcement
DG-STMTL: A novel graph convolutional network for multi-task spatio-temporal traffic forecasting
Adaptive blank compensation for few-shot image classification
New automated power quality recognition system for online/offline monitoring
Language-guided temporal primitive modeling for skeleton-based action recognition
A survey of deep nonnegative matrix factorization
Neuroevolutionary based convolutional neural network with adaptive activation functions
Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension
Discriminative globality-locality preserving extreme learning machine for image classification
Relating information capacity to a biophysical model for blowfly photoreceptors
Evidential combination of SVM classifiers for writer recognition
Deterministic generative adversarial imitation learning
Improving efficiency in sparse learning with the feedforward inhibitory motif
Robust ADP-based control for uncertain nonlinear Stackelberg games
A Robust Extreme Learning Machine for pattern classification with outliers
Differential evolution-based optimal Gabor filter model for fabric inspection
PFLU and FPFLU: Two novel non-monotonic activation functions in convolutional neural networks
Convolutional modulation theory: A bridge between convolutional neural networks and signal modulation theory
Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology
Shape prior constrained PSO model for bladder wall MRI segmentation
A new kernelization framework for Mahalanobis distance learning algorithms
Deep clustering of tabular data by weighted Gaussian distribution learning
BiSeNet V3: Bilateral segmentation network with coordinate attention for real-time semantic segmentation
Synchronizations control of fractional-order multidimension-valued memristive neural networks with delays
Multichannel time encoding with integrate-and-fire neurons
Domain-aware Stacked AutoEncoders for zero-shot learning
Cooperative output regulation problem for linear time-delay multi-agent systems under switching network
Global exponential stability of BAM neural networks with recent-history distributed delays and impulses
QRT-DETR: Post-training quantization for real-time detection transformer
Reducing the number of neurons in radial basis function networks with dynamic decay adjustment
Parameter inference of general nonlinear dynamical models of gene regulatory networks from small and noisy time series
Learning consistent representation for incomplete multi-view weak multi-label classification
Non-convex logarithm embedding subspace weighted graph approach to fault detection with missing measurements
mlcpl: A python package for deep multi-label image classification with partial-labels on PyTorch
Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes
Learning from sensory predictions for autonomous and adaptive exploration of object shape with a tactile robot
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning
A switching delayed PSO optimized extreme learning machine for short-term load forecasting
Clustering-based hyper-heuristic algorithm for multi-region coverage path planning of heterogeneous UAVs
Allowable delay set flexible fragmentation approach to passivity analysis of delayed neural networks
On the exponential synchronization of stochastic impulsive chaotic delayed neural networks
Learning hierarchical image feature for efficient image rectification
A genetic algorithm-based virtual sample generation technique to improve small data set learning
Global Span Semantic Dependency Awareness and Filtering Network for nested named entity recognition
Incorporating priors for medical image segmentation using a genetic algorithm
A transformer-convolution model for enhanced session-based recommendation
Passivity of fractional-order coupled neural networks with multiple state/derivative couplings
Identifying the most informative features using a structurally interacting elastic net
NPP: A neural popularity prediction model for social media content
An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities
GRIF-PPGNN: Group equality informed Ranking-based Individual Fairness for Privacy-Preserving Graph Neural Network
Robust Copy-Move forgery revealing in digital images using polar coordinate system
Learning by local kernel polarization
Perception-driven adaptive CPG-based locomotion for hexapod robots
Performance and robustness of bio-inspired digital liquid state machines: A case study of speech recognition
Expert-guided contrastive learning for video-text retrieval
Multi-Query Parallel Field Ranking for image retrieval
Envelope rotation forest: A novel ensemble learning method for classification
Training multi-bit Spiking Neural Network with Virtual Neurons
Robust visual tracking by metric learning with weighted histogram representations
Asymptotical synchronization for complex-valued stochastic switched neural networks under the sampled-data controller via a switching law
Scarcity-GAN: Scarce data augmentation for defect detection via generative adversarial nets
A clustering algorithm based on dominating (dominated) roughness
Parameter estimation of the exponentially damped sinusoids signal using a specific neural network
Stability analysis of neural networks with time-varying delay using a new augmented Lyapunov-Krasovskii functional
Visibility-aware part model for robust facial point detection
Learning interpretable kernelized prototype-based models
Mortality prediction for ICU patients combining just-in-time learning and extreme learning machine
Pick and mix reliable pseudo labels for scribble-supervised medical image segmentation
Identifying adverse drug reaction entities from social media with adversarial transfer learning model
Day-ahead to intraday energy scheduling operation considering extreme events using risk-based approaches
Adaptive neural output feedback fault tolerant control for a class of uncertain nonlinear systems with intermittent actuator faults
Multiple-v support vector regression based on spectral risk measure minimization
Consistency Prototype Module and Motion Compensation for few-shot action recognition (CLIP-CPM2C)
The variant d -path Laplacian based consensus protocols for networked harmonic oscillators
A unified spatio-temporal human body region tracking approach to action recognition
A novel visual tracking method using bat algorithm
An efficient multiple kernel computation method for regression analysis of economic data
Singular Value Decomposition update and its application to (Inc)-OP-ELM
Odor to sensor space transformations in biological and artificial noses
Third-order generalization: A new approach to categorizing higher-order generalization
A new ARTMAP-based neural network for incremental learning
Estimation of the synchronization between intermittent photic stimulation and brain response in hypertension disease by the recurrence and synchrosqueezed wavelet transform
Discriminative and coherent subspace clustering
Backpropagation-based learning with local derivative approximation and memory replay in biologically plausible neural systems
Toward improving ECG biometric identification using cascaded convolutional neural networks
Event-triggered adaptive neural control for uncertain nonstrict-feedback nonlinear systems with full-state constraints and unknown actuator failures
Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks
Credible Gaussian sum cubature Kalman filter based on non-Gaussian characteristic analysis
A novel method for characterizing synaptic noise in cortical neurons
Some global and local convergence analysis on the information-theoretic independent component analysis approach
Multimodal hypergraph network with contrastive learning for sentiment analysis
Attention-based acoustic feature fusion network for depression detection
A comprehensive review of traffic prediction: From traditional machine learning to AutoML
Bayesian classification by iterated weighting
Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data
A dual-stream GCN-based action recognition framework using trustworthy fusion decision from different skeleton descriptors
Rethinking prediction alignment in one-stage object detection
Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers
Adaptive neural network tracking control for a class of switched strict-feedback nonlinear systems with input delay
Global dissipativity of uncertain discrete-time stochastic neural networks with time-varying delays
H ∞ consensus performance for discrete-time multi-agent systems with communication delay and multiple disturbances
Depth Context: a new descriptor for human activity recognition by using sole depth sequences
A neuro-fuzzy network based impulse noise filtering for gray scale images
Temporal dynamics of attention-modulated neuronal synchronization in macaque V4
Question fuzzy-attention embedding Graph-to-Tree network for intelligent math word problem solver
Deep semantic cross modal hashing with correlation alignment
You should know more: Learning external knowledge for visual dialog
Design of a reconfigurable pseudorandom number generator for use in intelligent systems
Classification of geological structure using ground penetrating radar and Laplace transform artificial neural networks
Optimal control of nonlinear discrete time-varying systems using a new neural network approximation structure
Existence, uniqueness, and physics-informed deep neural networks for physical systems governed by SDEs characterized by multi-fractional Gaussian noise
Learning to resize image
Dynamical behaviors of impulsive reaction-diffusion Cohen-Grossberg neural network with delays
Signal denoising in engineering problems through the minimum gradient method
Mobile crowdsourcing based on 5G and 6G: A survey
Single controller for stability of delayed neural networks with mixed coupling and L 2 -gain condition
DECN: Dialogical emotion correction network for conversational emotion recognition
Pose-oriented scene-adaptive matching for abnormal event detection
A 1-norm regularized linear programming nonparallel hyperplane support vector machine for binary classification problems
Short-term potentiation effect on pattern recall in sparsely coded neural network
Towards the characterization of representations learned via capsule-based network architectures
Synchronization of complex dynamical networks on time scales via Wirtinger-based inequality
Dynamical behavior of a class of nonsmooth gradient-like systems
An improved neural network for convex quadratic optimization with application to real-time beamforming
Hierarchical extreme learning machines
Local and global regularized sparse coding for data representation
DFAN++: Enhanced triple-branch network for generalized zero-shot image classification
Unmasking Deception: A Comprehensive Survey on the Evolution of Face Anti-spoofing Methods
Selective black-box adversarial examples: Protecting a specific model while inducing misperceptions in others
A model for fine-grained vehicle classification based on deep learning
An efficient gene selection algorithm based on mutual information
Improving deep neural networks with multi-layer maxout networks and a novel initialization method
Image recognition using analog-ART1 architecture augmented with moment-based feature extractor
An active learning model based on image similarity for skin lesion segmentation