yusuke1997/dblp-id-title huggingface dataset:
Use of neural networks for predictions using time series: Illustration with the El Niño Southern oscillation phenomenon
Model-free adaptive optimal control for nonlinear multiplayer games with input disturbances
Unsupervised infrared-visible person re-identification by multi-level Dual-Stream Contrastive Learning
Hyperbolic node embedding for signed networks
Quantum annealing-based feature selection
Generic semi-supervised adversarial subject translation for sensor-based activity recognition
Non-parallel support vector classifiers with different loss functions
Coordination of repeaters based on Simulated Annealing Algorithm and Monte-Carlo Algorithm
Serial-parallel multi-scale feature fusion for anatomy-oriented hand joint detection
Multi-channel GCN network based on position-aware gating fusion for aspect sentiment triplet extraction
Application of deep learning to cybersecurity: A survey
An open chest X-ray dataset with benchmarks for automatic radiology report generation in French
Learning part-based mid-level representation for visual recognition
Neural network for computing GSVD and RSVD
Less conservative stability criteria for neural networks with discrete and distributed delays using a delay-partitioning approach
Cross-domain knowledge distillation for text classification
Differential privacy preservation for graph auto-encoders: A novel anonymous graph publishing model
Aperiodic intermittent pinning control for exponential synchronization of memristive neural networks with time-varying delays
Applying alternating direction method of multipliers for constrained dictionary learning
Advances in fuzzy cognitive maps theory
Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation
Tensor product model transformation-based reinforcement learning neural network controller with guaranteed stability
D-NMS: A dynamic NMS network for general object detection
Extreme learning machine ensemble model for time series forecasting boosted by PSO: Application to an electric consumption problem
Quantifying uncertainty of uplift: Trees and T-learners
Control Design of a Marine Vessel System Using Reinforcement Learning
VQA and Visual Reasoning: An overview of approaches, datasets, and future direction
Novel power-exponent-type modified RNN for RMP scheme of redundant manipulators with noise and physical constraints
Projection-free kernel principal component analysis for denoising
An efficient multi-metric learning method by partitioning the metric space
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks
An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis
Global μ-stability of quaternion-valued neural networks with non-differentiable time-varying delays
Activity-dependent regulation of excitability in rat visual cortical neurons
A comprehensive survey on recent metaheuristics for feature selection
Improving option price forecasts with neural networks and support vector regressions
Error tolerance based support vector machine for regression
Sparse regularization discriminant analysis for face recognition
Cost-forced collective potentiality maximization by complementary potentiality minimization for interpreting multi-layered neural networks
Prescribed performance tracking control of autonomous surface vehicles with reinforcement learning
Fuzzy binary decision tree for biometric based personal authentication
Sparse nonnegative matrix factorization with ℓ 0 -constraints
Pedestrian detection in unseen scenes by dynamically updating visual words
Cross-lingual prompt and knowledge enhancement-based named entity recognition for low-resource electronic medical records
Interlayer and intralayer scale aggregation for scale-invariant crowd counting
Computational Neuroscience: Trends in Research 2006
Self-triggered output feedback control for consensus of multi-agent systems
Collective transfer learning for defect prediction
Dynamic blind source separation based on source-direction prediction
Palmprint orientation field recovery via attention-based generative adversarial network
A model of respiration rhythmogenesis bridging network and pacemaker theories
Controllable instance synthesis with hierarchical regularization for semi-supervised pedestrian detection
Kernel regression networks with local structural information and covariance volume adaptation
Vision transformers on the edge: A comprehensive survey of model compression and acceleration strategies
Corrigendum to "Further result on asymptotic stability criterion of neural networks with time-varying delays" [Neurocomputing 71 (2007) 439-447]
Class-driven nonnegative matrix factorization with manifold regularization for data clustering
An investigation into the application of neural networks, fuzzy logic, genetic algorithms, and rough sets to automated knowledge acquisition for classification problems
Anomaly detection in traffic using L1-norm minimization extreme learning machine
Novel, parallel and differential synaptic architecture based on NAND flash memory for high-density and highly-reliable binary neural networks
Bayesian inference for wind field retrieval
Learning from small datasets containing nominal attributes
A review of Zeroing neural network: Theory, algorithm and application
New results on periodic dynamics of memristor-based recurrent neural networks with time-varying delays
Facial image inpainting using attention-based multi-level generative network
A novel data augmentation scheme for pedestrian detection with attribute preserving GAN
An efficient problem-independent hardware implementation of genetic algorithms
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection
Memory capacity of recurrent neural networks with matrix representation
SPADesc: Semantic and parallel attention with feature description
Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling
Lag-bipartite consensus control of nonlinear multi-agent systems with exogenous disturbances via dynamic event-triggered strategy
A novel hierarchical Bag-of-Words model for compact action representation
Multi-scale graph learning for ovarian tumor segmentation from CT images
TranSalNet+: Distortion-aware saliency prediction
Salient instance segmentation via subitizing and clustering
Debiased momentum contrastive learning for multimodal video similarity measures
Synchronization control for memristive high-order competitive neural networks with time-varying delay
Multi-Attention Generative Adversarial Network for image captioning
An adaptive PID neural network for complex nonlinear system control
Enhanced schatten quasi-norm approximation for low tubal rank tensor completion
Multi-scale local LSSVM based spatiotemporal modeling and optimal control for the goethite process
Exponential passivity analysis of stochastic neural networks with leakage, distributed delays and Markovian jumping parameters
Objective reduction particle swarm optimizer based on maximal information coefficient for many-objective problems
A new similarity measure based on shape information for invariant with multiple distortions
SAR image target recognition via Complementary Spatial Pyramid Coding
Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface
Competing ratio loss for discriminative multi-class image classification
Pair-mode tensor wheel decomposition with randomized block Krylov iteration
Regularization incremental extreme learning machine with random reduced kernel for regression
Mutual variation of information on transfer-CNN for face recognition with degraded probe samples
Temporal grafter network: Rethinking LSTM for effective video recognition
Multi-level feature fusion for generalized face forgery detection
Sequence recognition of Chinese license plates
Data clustering using controlled consensus in complex networks
Design of second order neural networks as dynamical control systems that aim to minimize nonconvex scalar functions
Curriculum learning-based slimmable cross-component prediction for video coding
Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank
Intermediate fused network with multiple timescales for anomaly detection
Multi-agent distributed coordination control: Developments and directions via graph viewpoint
Modified twin support vector regression
Learned parametric mixture based ICA algorithm
Domain generalization through latent distribution exploration for motor imagery EEG classification
STHP: an SNN and transformer-based hippocampal preplay mechanism for efficient path planning
Firing dynamics in hybrid coupled populations of bistable neurons
Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs
Offset-corrected query generation strategies for cross-modality misalignment in 3D object detection: aligning LiDAR and camera
Computationally efficient versions of conformal predictive distributions
A unified view of multi-grade fuzzy-set models in J-CO-QL +
Internal simulation of perception: a minimal neuro-robotic model
Secure bipartite consensus of leader-follower multi-agent systems under denial-of-service attacks via observer-based dynamic event-triggered control
Representation of functional data in neural networks
LSTM-based traffic flow prediction with missing data
EEG fading data classification based on improved manifold learning with adaptive neighborhood selection
Learning referee evaluation and assessing action quality from coarse to fine in diving sport
A swarm of unmanned vehicles in the shallow ocean: A survey
Adaptive fuzzy funnel control for a class of strict feedback nonlinear systems
Evidence ratio classifier: A one-pass model for fast incremental learning
Normalized estimate of adaptive filter for non-minimum phase transfer function component: An illustrative case study
Emergence of motion-in-depth selectivity in the visual cortex through linear combination of binocular energy complex cells with different ocular dominance
Novel approaches for fake news detection based on attention-based deep multiple-instance learning using contextualized neural language models
PP-GNN: Pretraining Position-aware Graph Neural Networks with the NP-hard metric dimension problem
Local approximation of control systems using artificial neural networks
Generalizing medical image representations via quaternion wavelet networks
H∞ control of discrete-time uncertain linear systems with quantized feedback
Electric utility coal quality analysis using artificial neural network techniques
Voice-based age, gender, and language recognition based on ResNet deep model and transfer learning in spectro-temporal domain
Toward local and global perception modules for vision substitution
State of health prediction of lithium-ion battery degradation using adaptive gated dual attention unit neural Wiener process
Attribute profile based target detection using collaborative and sparse representation
A lightweight video anomaly detection model with weak supervision and adaptive instance selection
ERAT-DLoRA: Parameter-efficient tuning with enhanced range adaptation in time and depth aware dynamic LoRA
Video anomaly detection and localization by local motion based joint video representation and OCELM
MEANet: Multi-modal edge-aware network for light field salient object detection
Discriminant analysis approach using fuzzy fourfold subspaces model
Multi-attribute statistics histograms for accurate and robust pairwise registration of range images
Incorporating prior knowledge in support vector machines for classification: A review
Parallel and efficient approximate nearest patch matching for image editing applications
Research of biogeography particle swarm optimization for robot path planning
Gaussian derivative models and ensemble extreme learning machine for texture image classification
Comparison of FDA-based and PCA-based features in fault diagnosis of automobile gearboxes
Quantized feedback stabilization of discrete-time linear system with Markovian jump packet losses
Outlier factor based partitional clustering analysis with constraints discovery and representative objects generation
Introducing locally affine-invariance constraints into lunar surface image correspondence
Recent advances in machine learning for non-Gaussian data processing
General decay stability analysis of impulsive neural networks with mixed time delays
Window Token Transformer: Can learnable window token help window-based transformer build better long-range interactions?
Appearance features in Encoding Color Space for visual surveillance
MvSSIM: A quality assessment index for hyperspectral images
Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features
SIFT flow for abrupt motion tracking via adaptive samples selection with sparse representation
A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis
A contrastive triplet network for automatic chest X-ray reporting
USNFIS: Uniform stable neuro fuzzy inference system
Estimating the afferent and efferent temporal interval entropy of neuronal discharge for single spike trains
Exponential synchronization for a class of impulsive networks with time-delays based on single controller
LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points
A unified framework for multi-modal federated learning
Rehearsal-free continual few-shot relation extraction via contrastive weighted prompts
A Relational Model for One-Shot Classification of Images and Pen Strokes
A model of colour processing in the retina of vertebrates: From photoreceptors to colour opposition and colour constancy phenomena
Frequency-based pseudo-domain generation for domain generalizable object detection
Fixed pattern noise reduction for infrared images based on cascade residual attention CNN
Vision-based two-step brake detection method for vehicle collision avoidance
Delayed feedback control of synchronization in locally coupled neuronal networks
Diff-Mamba: A diffusion-Mamba framework for hyperspectral image classification
Classification of graphical data made easy
Dictionary learning with structured noise
Sparse-based neural response for image classification
The significance of gap junction location in striatal fast spiking interneurons
Structure Modeling Activation Free Fourier Network for spacecraft image denoising
SISRSet: Single image super-resolution subjective evaluation test and objective quality assessment
Adaptive almost sure asymptotically stability for neutral-type neural networks with stochastic perturbation and Markovian switching
Smooth incomplete matrix factorization and its applications in image/video denoising
Probability-dependent H ∞ synchronization control for dynamical networks with randomly varying nonlinearities
Hardware implementation of a new neurocontrol wheelchair-guidance system
Robust scene aware multi-object tracking for surveillance videos
Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dictionaries
Distributed consensus of large-scale multi-agent systems via linear-transformation-based partial stability approach
Neuro-tabu search approach to scheduling in automotive manufacturing
Mutual information-based feature selection for multilabel classification
Self-organization and missing values in SOM and GTM
Multi-resolution attention convolutional neural network for crowd counting
Creation, evaluation and self-validation of simulation models with large language models
Quantum probabilistic associative memory architecture
Low power CMOS electronic central pattern generator design for a biomimetic underwater robot
Introduction to the special issue on visual analytics using multidimensional projections
LaCERA: Layer-centric event-routing architecture
NN-based output feedback adaptive variable structure control for a class of non-affine nonlinear systems: A nonseparation principle design
Text-to-text generative approach for enhanced complex word identification
Quantum-minimized BWGC/NGARCH approach to financial time series forecast
A profit-driven Artificial Neural Network (ANN) with applications to fraud detection and direct marketing
Optimal Bayesian regression with a non-informative prior: Order-recursive and incremental learning
Robust visual tracking using structural region hierarchy and graph matching
The effects of induction electric field on sensitivity of firing rate in a single-compartment neuron model
Event-triggered constrained robust control for partly-unknown nonlinear systems via ADP
Fuzzy sigmoid kernel for support vector classifiers
Super-resolution restoration of MMW image based on sparse representation method
Robust multi-expert deep learning framework for brain MRI classification with Taguchi optimization
Discontinuous grammar as a foreign language
Adaptive reservoir computing through evolution and learning
Multi-scale deep encoder-decoder network for salient object detection
Dual contrastive learning for multi-view clustering
Multi-camera handoff for person re-identification
Neural network feature maps for Chinese phonemes
Multi-view dimensionality reduction based on Universum learning
Multiple pedestrian tracking by combining particle filter and network flow model
Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro
Dual-copying mechanism and dynamic emotion dictionary for generating emotional responses
Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with unknown time-delay
Consistency perception network for 360° omnidirectional salient object detection
A deep learning framework for autonomous flame detection
Performance of deterministic learning in noisy environments
Reliable fault diagnosis method using ensemble fuzzy ARTMAP based on improved Bayesian belief method
Orbital collaborative learning in 6G space-air-ground integrated networks
Quantitative analysis of kernel properties in Kohonen's self-organizing map algorithm: Gaussian and difference of Gaussians neighborhoods
Method for fundamental matrix estimation combined with feature lines
Deep learning based image Super-resolution for nonlinear lens distortions
Cryptanalysis on a parallel keyed hash function based on chaotic neural network
On reachable set estimation of multi-agent systems
Data-driven humanlike reaching behaviors synthesis
Fast object detection based on selective visual attention
A survey on machine learning models for financial time series forecasting
Path integrator contributions to hippocampal map formation
Hybrid scheme for accurate stereo matching
Bag-of-steps: Predicting lower-limb fracture rehabilitation length by weight loading analysis
A novel hyperspectral unmixing model based on multilayer NMF with Hoyer's projection
Global exponential stability of a class of impulsive neural networks with unstable continuous and discrete dynamics
NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection
Graph regularized multilayer concept factorization for data representation
Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric data
Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function
Stability and Hopf bifurcation analysis of a simplified six-neuron tridiagonal two-layer neural network model with delays
Learning orthogonal projections for Isomap
Autoencoder framework based on orthogonal projection constraints improves anomalies detection
A high-precision distributed neural processor for efficient computation of a new distributed FxSMAP-L algorithm applied to real-time active noise control systems
Multi-contrast image clustering via multi-resolution augmentation and momentum-output queues
Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification
Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation
Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines
A geometric semantic genetic programming system for the electoral redistricting problem
Adaptive mobile activity recognition system with evolving data streams
Consensus of second-order multi-agent systems with nonuniform time-varying delays
Customer profile classification: To adapt classifiers or to relabel customer profiles?
A new biclustering technique based on crossing minimization
Breaking the gap between label correlation and instance similarity via new multi-label contrastive learning
Two-dimensional nearest neighbor classification for agricultural remote sensing
Sparse estimation of Linear Non-Gaussian Acyclic Model for Causal Discovery
Mining confident supervision by prototypes discovering and annotation selection for weakly supervised semantic segmentation
Sampling-based epoch differentiation calibrated graph convolution network for point-of-interest recommendation
Distributed Analytics For Big Data: A Survey
A disaster-triggered life-support load restoration framework based on Multi-Agent Consensus System
H ∞ filtering for two-dimensional continuous-time Markovian jump systems with deficient transition descriptions
Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments
Vertical NAND flash memory-based matrix-matrix multiplication scheme for energy-efficient attention score computation
An adaptive training-less framework for anomaly detection in crowd scenes
Dynamic binary neural networks with time-variant parameters and switching of desired periodic orbits
Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation
New stability criteria for recurrent neural networks with interval time-varying delay
2D-LPP: A two-dimensional extension of locality preserving projections
Data representation via refined discriminant analysis and common class structure
Micro-expression recognition with small sample size by transferring long-term convolutional neural network
Analysis of regularized federated learning
Robust stability analysis of competitive neural networks with different time-scales under perturbations
Stability analysis for the generalized Hopfield neural networks with multi-level activation functions
Lip segmentation and tracking under MAP-MRF framework with unknown segment number
Multi-task feature selection with sparse regularization to extract common and task-specific features
Event-based video reconstruction via attention-based recurrent network
A dynamic collaborative filtering system via a weighted clustering approach
Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms
On the improvement of the real time recurrent learning algorithm for recurrent neural networks
End-to-end one-stream object tracking based on uncertainty regression
Improved stability and convergence with three factor learning
Diversity and degrees of freedom in regression ensembles
A review of optimization methodologies in support vector machines
Joint compressive representation for multi-feature tracking
Design of energy-efficient LIF neuron using CMOS compatible gate-all-around floating nanosheet FET for bio-inspired spiking neural networks
Encouraging orthogonality between weight vectors in pretrained deep neural networks
Oscillatory modes in a neuronal network model with transmission latency
Fast neighborhood component analysis
Eye movement predictions on natural videos
Abnormal discharge detection using adaptive neuro-fuzzy inference method with probability density-based feature and modified subtractive clustering
SVM learning with the Schur-Hadamard inner product for graphs