yusuke1997/dblp-id-title huggingface dataset:
Enhancing ANN-SNN conversion: Addressing low latency and negative thresholds with modified activation and BPTT fine-tuning
Similarity preserving feature generating networks for zero-shot learning
A method to improve the transiently chaotic neural network
Attractor dynamics in a modular network model of the cerebral cortex
A novel fuzzy-rule-based deep fusion of hypergraph multi-modal for Alzheimer's disease detection
Multi-model based MPC to improve the ramp rate for renewable energy consumption
Minimum class spread constrained support vector machine
A complex-valued neuro-fuzzy inference system and its learning mechanism
UCFN: Uncertainty-aware cross-granularity fusion network for visual intention understanding
Web mining based framework for solving usual problems in recommender systems. A case study for movies' recommendation
Lightweight image super-resolution with feature enhancement residual network
Qauxi: Cooperative multi-agent reinforcement learning with knowledge transferred from auxiliary task
Feature selection for multi-label learning with streaming label
Speech Based Estimation of Parkinson's Disease Using Gaussian Processes and Automatic Relevance Determination
Independent component ordering in ICA time series analysis
Real-time implementation of neural optimal control and state estimation for a linear induction motor
Automatic segmentation of breast masses using enhanced ICA mixture model
Multiple exponential stability and instability for state-dependent switched neural networks with time-varying delays and piecewise-linear radial basis activation functions
Gallery based k -reciprocal-like re-ranking for heavy cross-camera discrepancy in person re-identification
Design and implementation of an artificial neuromolecular chip and its applications to pattern classification problems
Underwater image enhancement by combining color constancy and dehazing based on depth estimation
Multi-step-ahead time series prediction using multiple-output support vector regression
Purity Skeleton Dynamic Hypergraph Neural Network
Robust head pose estimation using Dirichlet-tree distribution enhanced random forests
Neural network-based safe optimal robust control for affine nonlinear systems with unmatched disturbances
Flexible and efficient implementations of Bayesian independent component analysis
AER-SRT: Scalable spike distribution by means of synchronous serial ring topology address event representation
Joint local constraint and fisher discrimination based dictionary learning for image classification
Hybrid local diffusion maps and improved cuckoo search algorithm for multiclass dataset analysis
A noise-suppressing discrete-time neural dynamics model for solving time-dependent multi-linear M-tensor equation
PyfUS: Python-based open-source software for the analysis of functional ultrasound imaging data
Links synchronization control for the complex dynamical network
Using volatile/non-volatile memristor for emulating the short-and long-term adaptation behavior of the biological neurons
Generation of topic evolution graphs from short text streams
Digital multiplierless implementation of the biological FitzHugh-Nagumo model
Transformer-based monocular depth estimation with hybrid attention fusion and progressive regression
Adaptive bipartite output consensus of heterogeneous linear multi-agent systems with antagonistic interactions
Fully convolutional siamese networks based change detection for optical aerial images with focal contrastive loss
A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification
A fuzzy-soft learning vector quantization
Meta-ELM: ELM with ELM hidden nodes
Leveraging bilingually-constrained synthetic data via multi-task neural networks for implicit discourse relation recognition
An adaptive stereo basis method for convolutive blind audio source separation
Source-Free Unsupervised Domain Adaptation: Current research and future directions
Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model
Bacterial colony foraging optimization
Adaptive weighted fusion: A novel fusion approach for image classification
Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing
STDM-transformer: Space-time dual multi-scale transformer network for skeleton-based action recognition
Language-guided Alignment and Distillation for Source-free Domain Adaptation
Overfitting and generalization in learning discrete patterns
Mathematical-model-based design of silicon burst neurons
A comprehensive benchmark of machine and deep learning models on structured data for regression and classification
Some novel double-scroll chaotic attractors in Hopfield networks
Infrared and visible image fusion using total variation model
Gl-MambaNet: A global-local hybrid Mamba network for medical image segmentation
Fuzzy rough discrimination and label weighting for multi-label feature selection
Gut microbiota community adaption during young children fecal microbiota transplantation by 16s rDNA sequencing
Weighted maximum margin discriminant analysis with kernels
Effects of lateral competition in the primary visual cortex on the development of topographic projections and ocular dominance maps
Quantitative information transfer through layers of spiking neurons connected by Mexican-Hat-type connectivity
Adaptive neural tracking control of high-order nonlinear systems with quantized input
ChatGPT in threefold: As attacker, target, and evaluator in adversarial attacks
Diversity and consistency learning guided spectral embedding for multi-view clustering
Adaptive neural control of constrained strict-feedback nonlinear systems with input unmodeled dynamics
Self-organization of delay lines by spike-time-dependent learning
Extraction of nonlinear features in MEG and fMRI data of human brain
Predicting the topic influence trends in social media with multiple models
How to solve the N -bit encoder problem with just one hidden unit
Zero-shot multitask intent and emotion prediction from multimodal data: A benchmark study
An evolutionary metaheuristic for forming teams in the classroom with constraints
Neurodynamical mechanism of binding and selective attention for visual search
An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots
Exponential synchronization of uncertain chaotic inertial neural networks by guaranteed cost intermittent control
Fixed-time synchronization in p-th moment for stochastic multi-layer neural networks: An adaptive graph-theoretic Lyapunov functional approach
CSPFormer: A cross-spatial pyramid transformer for visual place recognition
Hybrid sampling on mutual information entropy-based clustering ensembles for optimizations
Detecting shot boundary with sparse coding for video summarization
A variable-gain fixed-time convergent neurodynamic network for time-variant quadratic programming under unknown noises
Biped locomotion control with evolved adaptive center-crossing continuous time recurrent neural networks
A context-based meta-reinforcement learning approach to efficient hyperparameter optimization
A novel Markov boundary based feature subset selection algorithm
Feed forward artificial neural network to predict contact force at medial knee joint: Application to gait modification
Exploiting Prior Tacit Knowledge to Enhance Alignment and Verification in zero-shot video grounding
Leader-following bipartite consensus of second-order time-delay nonlinear multi-agent systems with event-triggered pinning control under signed digraph
Recruitment of binding and binding-error detector circuits via long-term potentiation
Object recognition in clutter color images using Hierarchical Temporal Memory combined with salient-region detection
An efficient divide-and-conquer approach for big data analytics in machine-to-machine communication
Editorial: Deep neural networks with cloud computing
Observer-based consensus tracking for second-order leader-following nonlinear multi-agent systems with adaptive coupling parameter design
Outlier exploration and diagnostic classification of a multi-centre 1 H-MRS brain tumour database
One-against-all frame differences based hand detection for human and mobile interaction
Moving object detection based on incremental learning low rank representation and spatial constraint
Finite-time boundedness and stabilization of uncertain switched delayed neural networks of neutral type
A regularized optimization framework for tag completion and image retrieval
LibCoopt: A library for combinatorial optimization on partial permutation matrices
A preliminary view of Japan's high performance neurocomputers
XMF-GNN: A cross-modality dynamic fusion heterogeneous graph neural network for network intrusion detection
New image descriptors based on color, texture, shape, and wavelets for object and scene image classification
Learning performance of coefficient-based regularized ranking
Semi-supervised medical image segmentation using spiking neural P-like convolutional model and pseudo label-guided cross-patch contrastive learning
Towards improved evaluation of generative neural networks: The Fréchet Coefficient
A sum-of-product neural network (SOPNN)
CNN explanation methods for ordinal regression tasks
Median equivariant adaptive separation via independence: application to communications
Novel Existence and Stability Criteria of Periodic Solutions for Impulsive Delayed Neural Networks Via Coefficient Integral Averages
Stereoscopic saliency estimation with background priors based deep reconstruction
Deeply supervised group recursive saliency prediction
pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency
Human action recognition using convolutional LSTM and fully-connected LSTM with different attentions
Global dynamics of equilibrium point for delayed competitive neural networks with different time scales and discontinuous activations
Divide-and-Merge the embedding space for cross-modality person search
Spatio-temporal convolutional features with nested LSTM for facial expression recognition
Conditional attention guided normalizing flow for low-light image enhancement
Improvement of spike coincidence detection with facilitating synapses
Meta learning evolutionary artificial neural networks
PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition
Event-triggered critic learning impedance control of lower limb exoskeleton robots in interactive environments
Dynamics and oscillations of generalized high-order Hopfield neural networks with mixed delays
A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity
Graph-based interactive knowledge distillation for social relation continual learning
Asymmetric CycleGAN for image-to-image translations with uneven complexities
Global finite-time event-triggered consensus for a class of second-order multi-agent systems with the power of positive odd rational number and quantized control inputs
Localization and regularization of normalized transfer entropy
Inverse training scheme for MS_CMAC neural network to handle random training data
Infinite-time stochastic linear quadratic optimal control for unknown discrete-time systems using adaptive dynamic programming approach
Enhancing multi-task performance through associative adversarial learning based on selective attacks
A two-stage strategy for brain-inspired unsupervised learning in spiking neural networks
Principal component analysis based on non-parametric maximum entropy
Fair classification by loss balancing via fairness-aware batch sampling
Generating probabilistic predictions using mean-variance estimation and echo state network
Buffer management for streaming media transmission in hierarchical data of opportunistic networks
Cascaded embedded-FPN: A cross-modality multi-scale feature fusion network for varied-sized objects semantic segmentation
Activity recognition through multi-scale motion detail analysis
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy
Guest editorial: Deep neural networks for precision medicine
Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval
Wavelet extreme learning machine and deep learning for data classification
Design of polynomial echo state networks for time series prediction
A comprehensive representation scheme for video semantic ontology and its applications in semantic concept detection
Graph regularized nonnegative matrix factorization with label discrimination for data clustering
Neural critic learning for tracking control design of constrained nonlinear multi-person zero-sum games
Improving semi-autoregressive machine translation with the guidance of syntactic dependency parsing structure
Online learning with a hedge-based random vector functional link network using multi-forgetting factors
Apoptosis and neurogenesis in DRASiW-like systems
Double kernel and minimum variance embedded broad learning system based autoencoder for one-class classification
Nonsingular direct neural control of air-breathing hypersonic vehicle via back-stepping
Leveraging central-surrounding receptive fields for single image dehazing
Discrete state transition algorithm for unconstrained integer optimization problems
A forest of trees with principal direction specified oblique split on random subspace
A robust loss function for classification with imbalanced datasets
Automatic SAR image enhancement based on nonsubsampled contourlet transform and memetic algorithm
The development and future of digital rights management: A review
A systematic literature review on object detection using near infrared and thermal images
Enhanced feature selection models using gradient-based and point injection techniques
Knowledge distillation for object detection based on Inconsistency-based Feature Imitation and Global Relation Imitation
Multi-density map fusion network for crowd counting
Recent advances in Support Vector Machines
Linear time Principal Component Pursuit and its extensions using ℓ 1 filtering
Sparse communication in multi-agent deep reinforcement learning
A study on generalization of random weight network with flat loss
A convolutional spiking neural network with adaptive coding for motor imagery classification
Delay-dependent stability of neutral type neural networks with distributed delays
Fuzzy astronomical seeing nowcasts with a dynamical and recurrent connectionist network
Latent variable pictorial structure for human pose estimation on depth images
Zeroing neural networks: A survey
Improving video anomaly detection performance by mining useful data from unseen video frames
A fast solution method for the Dynamic Flexible Pickup and Delivery Problem with task allocation fairness for multiple vehicles
D2Fusion: Dual-AE and latent-guided diffusion network for infrared and visible image fusion
Object cosegmentation by nonrigid mapping
An inverse-free Zhang neural dynamic for time-varying convex optimization problems with equality and affine inequality constraints
A multi-branch electroencephalogram emotion recognition framework based on cross-subject or cross-session multi-perspective representation fusion
AdaMO: Adaptive Meta-Optimization for cold-start recommendation
Classifying infinite-dimensional data with unified basis functions: An effective machine learning approach
Biological evaluation of a Hebbian-Bayesian learning rule
A review of few-shot image classification: Approaches, datasets and research trends
Manifold constrained joint sparse learning via non-convex regularization
General subspace constrained non-negative matrix factorization for data representation
Stereoscopic video saliency detection based on spatiotemporal correlation and depth confidence optimization
FSILLIE: Frequency spatial integrative-aware guidance for low-light image enhancement
Automatic generation of the optimum threshold for parameter weighted pruning in multiple heterogeneous output neural networks
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization
Relation-dependent contrastive learning with cluster sampling for inductive relation prediction
A review of regression and classification techniques for analysis of common and rare variants and gene-environmental factors
Multi-view multi-sparsity kernel reconstruction for multi-class image classification
Stability of almost periodic solution for a generalized neutral-type neural networks with delays
Particle swarm optimisation assisted classification using elastic net prefiltering
AdaptRGB-t: Adaptive RGB-t semantic segmentation via efficient parameter-tuning with textual guidance
Pinning boundary sampled-data synchronization of coupled reaction-diffusion neural networks
Diversified textual features based image retrieval
Optimal parameters based stochastic dot model for tone compensation of dither matrix
Stability analysis for delayed high-order type of Hopfield neural networks with impulses
Disentangled adaptive multi-dimensional dynamic graph convolutional network for skeleton-based action recognition
Local differential privacy for social network publishing
Short, medium and long term forecasting of time series using the L-Co-R algorithm
Bipartite containment tracking for nonlinear MASs under FDI attack based on model-free adaptive iterative learning control
3D mapping of outdoor environments by scan matching and motion averaging
A protein secondary structure prediction framework based on the Extreme Learning Machine
Stable orientation tuning in the visual cortex
Projection inspector: Assessment and synthesis of multidimensional projections
Assessment of free vibration frequencies of nano-scale functionally graded materials using hybrid machine learning approaches
Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks
A novel approach to reconstruction based saliency detection via convolutional neural network stacked with auto-encoder
Context-aware transformer for image captioning
A fixed-time gradient algorithm for distributed optimization with inequality constraints
A danger theory inspired artificial immune algorithm for on-line supervised two-class classification problem
Single image de-raining via clique recursive feedback mechanism
Reinforcement learning for optimal control of linear impulsive systems with periodic impulses
Gradient-based no-reference image blur assessment using extreme learning machine
Extending the hybrid methodology for orbit propagation by fitting techniques
A pulse-based reinforcement algorithm for learning continuous functions
View-based 3D object retrieval with discriminative views
Low threshold calcium T-current IV curve geometry is alterable through the distribution of T-channels in thalamic relay neurons
Fixed-time synchronization of coupled Cohen-Grossberg neural networks with and without parameter uncertainties
Passivity-based synchronization of stochastic switched complex dynamical networks with additive time-varying delays via impulsive control
Parameter estimations of uncooperative space targets using novel mixed artificial neural network
Design of fuzzy output feedback stabilization for uncertain fractional-order systems
Scaling effects in crossmodal improvement of visual perception by motor system stimulus
Enhancing glomeruli segmentation through cross-species pre-training
Evolving feedforward artificial neural networks using a two-stage approach
Multimodal image matching based on Multimodality Robust Line Segment Descriptor
Online multilinear principal component analysis
Finite-time quasi-synchronization of multi-layer heterogeneous networks with distributed hybrid control
Machine learning based liver disease diagnosis: A systematic review
A comparative study of general fuzzy min-max neural networks for pattern classification problems
Adaptive structure radial basis function network model for processes with operating region migration
α2-dependent reciprocally convex inequality for stability and dissipativity analysis of neural networks with time-varying delay
A statistical analysis of dendritic morphology's effect on neuron electrophysiology of CA3 pyramidal cells
Symmetry axis extraction by a neural network
Lightweight deep learning for visual perception: A survey of models, compression strategies, and edge deployment challenges
Generative adversarial network based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image
Neural-network-based distributed adaptive synchronization for nonlinear multi-agent systems in pure-feedback form
Contribution of the GABA shift to the transition from structural initialization to working stage in biologically realistic networks
Learning supervised descent directions for optic disc segmentation
Independent component analysis in the blind watermarking of digital images
Simple-action-guided dictionary learning for complex action recognition
Low light recognition of traffic police gestures based on lightweight extraction of skeleton features
Semi-supervised distance metric learning based on local linear regression for data clustering
MSPNet: Multi-stage progressive network for image denoising
Comparative study among three strategies of incorporating spatial structures to ordinal image regression
Low order adaptive region growing for lung segmentation on plain chest radiographs
Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity
Multi-view subspace clustering networks with local and global graph information
Multi Actors-Critic based particle swarm optimization algorithm
Meta-Adaptable-Adapter: Efficient adaptation of self-supervised models for low-resource speech recognition
Self-filtering image dehazing with self-supporting module
Non-linear speech representation based on local predictability exponents
Coupling time decoding and trajectory decoding using a target-included model in the motor cortex
Adaptive comprehensive learning bacterial foraging optimization and its application on vehicle routing problem with time windows
System identification of dynamic structure by the multi-branch BPNN
3G structure for image caption generation
IMSiam: IoU-aware Matching-adaptive Siamese network for object tracking
Gaussian kernel optimization: Complex problem and a simple solution
Adversarial imitation learning with mixed demonstrations from multiple demonstrators
Minimizing memory loss in learning a new environment
Special issue on Chinese Conference on Computer Vision 2015
A dynamical feedback mechanism for the generation of hippocampal field rhythms
Cluster synchronization of stochastic neural networks with delay via pinning impulsive control
No-reference screen content image quality assessment based on multi-region features
Online numerical association rule miner
A new patch selection method based on parsing and saliency detection for person re-identification
Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction
A single-image GAN model using self-attention mechanism and DenseNets
Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion
Online optimal learning algorithm for Stackelberg games with partially unknown dynamics and constrained inputs
Updating initial labels from spectral graph by manifold regularization for saliency detection
Computational intelligence techniques for new product development
Adaptive multi-view decision model for group recommendation
A self-adaptive hardware architecture with fault tolerance capabilities
Adaptive fixed-time quantized fault-tolerant attitude control for hypersonic reentry vehicle
Attentive encoder-decoder networks for crowd counting
EEGDiffuser: Label-guided EEG signals synthesis via diffusion model for BCI applications
Finite-time set stabilization of probabilistic Boolean control networks via output-feedback control
Visual tracking using Siamese convolutional neural network with region proposal and domain specific updating
Estimating the number of components in a mixture of multilayer perceptrons