yusuke1997/dblp-id-title huggingface dataset:
Multi-agent reinforcement learning clustering algorithm based on silhouette coefficient
CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features
Robust adaptive neural control for a class of non-affine nonlinear systems
Event-based optical flow: Method categorisation and review of techniques that leverage deep learning
Auto-weighted multi-view constrained spectral clustering
Efficient sea-land segmentation using seeds learning and edge directed graph cut
Class-information-incorporated principal component analysis
Robust stabilization of T-S fuzzy discrete systems with actuator saturation via PDC and non-PDC law
Visible-infrared person re-identification with data augmentation via cycle-consistent adversarial network
Graph contrastive high-order structure representation learning
Improving the kernel regularized least squares method for small-sample regression
Improving biomedical word representation with locally linear embedding
MobileCount: An efficient encoder-decoder framework for real-time crowd counting
LVQ for text categorization using a multilingual linguistic resource
Interurban charging station network: An evolutionary approach
A novel fault diagnosis method based on optimal relevance vector machine
UDNet: Unified Deep Network based on Transformer and Multi-stage Fusion for brain tumor classification from undersampled MRI
Graph entropy minimization for semi-supervised node classification
FourierLoss: Shape-aware loss function with Fourier descriptors
On the biological plausibility of artificial metaplasticity learning algorithm
Audio-based fault diagnosis for belt conveyor rollers
Adaptive event-triggered synchronization control for complex networks with quantization and cyber-attacks
Knowledge interaction enhanced sequential modeling for interpretable learner knowledge diagnosis in intelligent tutoring systems
Reinforcement learning-based finite-time tracking control of an unknown unmanned surface vehicle with input constraints
A three-term backpropagation algorithm
An EM algorithm for learning sparse and overcomplete representations
Probabilistic neural network based categorical data imputation
Memory-based neural networks for robot learning
Physics embedded neural network: Novel data-free approach towards scientific computing and applications in transfer learning
Neural network-based distributed adaptive synchronization control for multi-weighted complex networks with aperiodic intermittent coupling
Bin-based classifier fusion of iris and face biometrics
Sparse discriminant manifold projections for automatic depression recognition
Anti-periodic solution for impulsive BAM neural networks with time-varying leakage delays on time scales
Collaborative learning for hyperspectral image classification
For micro-expression recognition: Database and suggestions
Tensor completion via multi-shared-modes canonical correlation analysis
Bi-level stochastic gradient for large scale support vector machine
Unsupervised domain adaptation segmentation algorithm with cross-domain data augmentation and category contrast
Deep multilevel similarity hashing with fine-grained features for multi-label image retrieval
FP-BNN: Binarized neural network on FPGA
Faceboxes: A CPU real-time and accurate unconstrained face detector
Dual-mode dynamics neural network for combinatorial optimization
Almost periodic solution for a neutral-type neural networks with distributed leakage delays on time scales
Action potential threshold of wide dynamic range neurons in rat spinal dorsal horn evoked by manual acupuncture at ST36
Sparse Bayesian mixed-effects extreme learning machine, an approach for unobserved clustered heterogeneity
Comparison of 2D image models in segmentation performance for 3D laser point clouds
A computational model of sound localization in the barn owl
Robust analysis of MRS brain tumour data using t -GTM
Reconstruction of functional brain network in Alzheimer's disease via cross-frequency phase synchronization
Visualization of Riemannian-manifold-valued elements by multidimensional scaling
A positive role of noises in accurate detection of time difference by electrosensory system of weakly electric fish
Quality assessment of DIBR-synthesized views: An overview
DFSNet: Dividing-fuse deep neural networks with searching strategy for distributed DNN architecture
Neuroinformatics: An overview of the Human Brain Project : Stephen H. Koslow and Michael F. Huerta (Eds.); Lawrence Erlbaum Associates Press, Mahwah, NJ, 1997, pp 376, ISBN 0-8058-2099-X
Robust adaptive neural practical fixed-time tracking control for uncertain Euler-Lagrange systems under input saturations
Feature expansion and enhanced compression for class incremental learning
Toward more generalizable time-series outlier detection in large-volume manufacturing via contextual convolution
Chaotic pseudo-orthogonalized Hopfield associative memory
GazeGCN: Gaze-aware Graph Convolutional Network for Text Classification
Concept drift robust adaptive novelty detection for data streams
Sparse ICA via cluster-wise PCA
LPI-BLS: Predicting lncRNA-protein interactions with a broad learning system-based stacked ensemble classifier
Learning view invariant gait features with Two-Stream GAN
An intelligent computing technique to analyze the vibrational dynamics of rotating electrical machine
A computationally efficient abstraction of long-term potentiation
Filter pruning by quantifying feature similarity and entropy of feature maps
BSD: Blind image quality assessment based on structural degradation
Simulator-independent representation of ionic conductance models with ChannelDB
TraX: The visual Tracking eXchange protocol and library
A new pedestrian detection method based on combined HOG and LSS features
Biophysical constraints on neuronal branching
Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015)
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction
Rule-based firing for network simulations
Fractional gannet humming optimization enabled deep convolutional neural network for detection and segmentation of skin cancer
Linking brain behavior to underlying cellular mechanisms via large-scale brain modeling and simulation
Recurrent networks for compressive sampling
Time-varying formation for linear multi-agent systems based on sampled data with multiple leaders
REIN-2: Giving birth to prepared reinforcement learning agents using reinforcement learning agents
Automatic detection of breast cancers in mammograms using structured support vector machines
Unified feature learning network for few-shot fault diagnosis
Label noise filtering techniques to improve monotonic classification
epsilon-insensitive Hebbian learning
Improving reservoirs using intrinsic plasticity
SFSWTS: A spatial-frequency shifted windows and time self-attention network for EEG emotion recognition
Exponential passivity for uncertain neural networks with time-varying delays based on weighted integral inequalities
Kernel Low-Rank Representation for face recognition
A non-linear view transformations model for cross-view gait recognition
SiamPolar: Semi-supervised realtime video object segmentation with polar representation
Confidence-weighted extreme learning machine for regression problems
SKR-QA: Semantic ranking and knowledge revise for multi-choice question answering
A tourist walk approach for internal and external outlier detection
Multiple hypotheses based motion compensation for learned video compression
Adjustable behavior-guided adaptive dynamic programming for neural learning control
Global exponential stability of delayed BAM network on time scale
Towards algorithms and models that we can trust: A theoretical perspective
Learning dynamics and robustness of vector quantization and neural gas
Syntax-guided controllable sentence simplification
Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion
MMAIndoor: Patched MLP and multi-dimensional cross attention based self-supervised indoor depth estimation
Topology and semantic contrastive learning with joint distribution alignment for link prediction
Distributed economic dispatch algorithm in smart grid based on event-triggered and fixed-time consensus methods
Rule extraction from support vector machines: A review
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems
From neural learning to independent components
Generalized LMI observer design for discrete-time nonlinear descriptor models
Unpaired cross domain image translation with augmented auxiliary domain information
AMA-MOSAICI: An automatic module assigning hierarchical structure to control human motion based on movement decomposition
A timestepper-based approach for the coarse-grained analysis of microscopic neuronal simulators on networks: Bifurcation and rare-events micro- to macro-computations
Neural image caption generator based on crossbar array design of memristor module
Existence and exponential stability of solutions of NNs with continuously distributed delays
Optimal consensus of a class of discrete-time linear multi-agent systems via value iteration with guaranteed admissibility
Graph-based temporal action co-localization from an untrimmed video
Attractiveness of pseudo almost periodic solutions for delayed cellular neural networks in the context of measure theory
AutoGAN-DSP: Stabilizing GAN architecture search with deterministic score predictors
DGOcc: Depth-aware global query-based network for monocular 3D occupancy prediction
ACNTrack: Agent cross-attention guided Multimodal Multi-Object Tracking with Neural Kalman Filter
Learning personalized binary codes for finger vein recognition
A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs
DICO: Distance-weighted Contrast and Instance Correlation for salient object ranking
Performance-guided neural network for rapidly self-organising active network management
Dynamics of complex-valued neural networks with variable coefficients and proportional delays
LSR: Lightening super-resolution deep network for low-light image enhancement
Merging Student's-t and Rayleigh distributions regression mixture model for clustering time-series
Response calibration in neuroblastoma cultures over multielectrode array
HRPVT: High-Resolution Pyramid Vision Transformer for medium and small-scale human pose estimation
Image manipulation localization via dynamic cross-modality fusion and progressive integration
A novel feature set for video emotion recognition
Joint Encryption and Compression scheme for a multimodal telebiometric system
Exponential discriminant analysis for fault diagnosis
Estimating the fundamental matrix based on least absolute deviation
A unified framework for exploiting color coefficients for salient object detection
Global stability analysis of competitive neural networks with mixed time-varying delays and discontinuous neuron activations
A tensorial weighted Schatten-p norm model with neighbor regularization for traffic data completion and traffic system correlation exploration
On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability
Global stability analysis for delayed complex-valued BAM neural networks
Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China
A neural network-based approach for solving quantized discrete-time H ∞ optimal control with input constraint over finite-horizon
A swarm exploring neural dynamics method for solving convex multi-objective optimization problem
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection
Error analysis for the semi-supervised algorithm under maximum correntropy criterion
Efficient identification of RBF neural net models for nonlinear discrete-time multivariable dynamical systems
Adaptive kernel subspace method for speeding up feature extraction
Modeling and predicting the popularity of online contents with Cox proportional hazard regression model
Adaptive NN-DSC control design for path following of underactuated surface vessels with input saturation
JDGAN: Enhancing generator on extremely limited data via joint distribution
Synchronization for non-uniform sampling networked rigid bodies
Joint learning based deep supervised hashing for large-scale image retrieval
Comparison of spiking neural networks with different topologies based on anti-disturbance ability under external noise
Discriminative transfer feature learning based on robust-centers
Independent component analysis and resolution pursuit with wavelet and cosine packets
Robot manipulator control using neural networks: A survey
OF-DFN: Optical flow prediction network for different perspective image fusion
Transfer learning extensions for the probabilistic classification vector machine
AG-ART: An adaptive approach to evolving ART architectures
Learning low-rank Mercer kernels with fast-decaying spectrum
Digital "Intelligent Memory Chips" Build Neural Networks with Fully Programmable Synaptic Weights
Consistency-exclusivity guided unsupervised multi-view feature selection
Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a nonlinear model of neuronal dynamics
Multi-view feature extraction based on dual contrastive heads
Learning temporal clusters with synaptic facilitation and lateral inhibition
Age invariant face recognition and retrieval by coupled auto-encoder networks
Event-based simulation strategy for conductance-based synaptic interactions and plasticity
An active memristor based rate-coded spiking neural network
Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties
Exploring cycle cover variants: A dataless neural networks approach
Nearly optimal sliding mode fault-tolerant control for affine nonlinear systems with state constraints
A fast NPCA algorithm for online blind source separation
Parallel multi-graph classification using extreme learning machine and MapReduce
Locality preserving discriminant projections for face and palmprint recognition
Model of auditory prediction in the dorsal cochlear nucleus via spike-timing dependent plasticity
Regularized maximum correntropy machine
Affective analysis of visual scenes using face pareidolia and scene-context
Multi-level dictionary learning for fine-grained images categorization with attention model
Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery
Fault-tolerant adaptive tracking control of Euler-Lagrange systems - An echo state network approach driven by reinforcement learning
Robust and efficient GMM-based free-form parts registration via bi-directional distance
ConceptPsy: A comprehensive benchmark suite for hierarchical psychological concept understanding in LLMs
Class attention to regions of lesion for imbalanced medical image recognition
Design of delay-dependent state estimation algorithm for nonlinear coupling complex networks with dynamical bias: An adaptive event-triggered scheme
A Multilevel Thresholding algorithm using electromagnetism optimization
Fast convergent distributed cooperative learning algorithms over networks
Certainty-aware support vector machines for fair classification
Master-slave synchronization of neural networks via event-triggered dynamic controller
WKAN-UNet: Wavelet and kolmogorov-arnold network augmented u-net for ISAR image denoising
Fault diagnosis and fault tolerant tracking control for the non-Gaussian singular time-delayed stochastic distribution system with PDF approximation error
A new control method based on type-2 fuzzy neural PI controller to improve dynamic performance of a half-bridge DC-DC converter
An important role of spike timing dependent synaptic plasticity in the formation of synchronized neural ensembles
Pyramid Fusion network with gated transformer for free-form image inpainting
Hand-raising gesture detection in real classrooms using improved R-FCN
Classifying heart conditions based on class probability output networks
Experimental assessment of quality in injection parts using a fuzzy system with adaptive membership functions
Denoising of MR and CT images using cascaded multi-supervision convolutional neural networks with progressive training
Confirming robustness of fuzzy support vector machine via ξ-α bound
Temporal Infomax on Markov chains with input leads to finite state automata
Optimal scheduling of shared autonomous electric vehicles with multi-agent reinforcement learning: A MAPPO-based approach
DFCon: Dominant frequency enhanced ultra-long time series contrastive forecasting
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine
Deep hierarchical learning on point clouds in feature space
Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction
Non-separation method-based finite-time synchronization of discrete-time fractional-order complex-valued neural networks with time-varying delays
How robust are ensemble machine learning explanations?
Stock movement prediction via gated recurrent unit network based on reinforcement learning with incorporated attention mechanisms
A co-training algorithm for EEG classification with biomimetic pattern recognition and sparse representation
Graph neural networks with global noise filtering for session-based recommendation
A robust two-stage framework for human skeleton action recognition with GAIN and masked autoencoder
ZSDECNet: A zero-shot deep learning framework for image exposure correction
MaskRecon: High-quality human reconstruction via masked autoencoders using a single RGB-D image
Locating of 2π-projection view and projection denoising under fast continuous rotation scanning mode of micro-CT
CMAC-based neuro-fuzzy approach for complex system modeling
iMatching: An interactive map-matching system
Influence maximization in complex networks using community-structure-based technique with multi-level information fusion
Quasi-synchronization of heterogeneous Lur'e networks with uncertain parameters and impulsive effect
IntSTR: An integrated spatio-temporal relation transformer for video object detection
Dependence of firing pattern on intrinsic ionic conductances: Sensitive and insensitive combinations
Neurocomputing in France
Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization
Automatic multi-fault recognition in TFDS based on convolutional neural network
A neural network simulation of aphasic naming errors: Network dynamics and control
Modeling and control with neural networks for a magnetic levitation system
PPoSOM: A new variant of PolSOM by using probabilistic assignment for multidimensional data visualization
Hybrid self-supervised learning based on higher-order structures for graph anomaly detection
Spike train coherence in macaque parietal cortex during a memory saccade task
Combining sclera and periocular features for multi-modal identity verification
Novel functional brain network methods based on CNN with an application in proficiency evaluation
Intelligent sensing, neural computing and applications
Fast automatic two-stage nonlinear model identification based on the extreme learning machine
Learning predictive representations
Domain adaptive remote sensing image semantic segmentation with prototype guidance
Stabilization of nonlinear systems with time-varying delays via impulsive control
Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty
Adaptive neural fault-tolerant control for a class of strict-feedback nonlinear systems with actuator and sensor faults
Deep attentive and semantic preserving video summarization
Get into the spirit of a location by mining user-generated travelogues
Learning from class-imbalance and heterogeneous data for 30-day hospital readmission
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Many-objective optimization meets recommendation systems: A food recommendation scenario
A semi-supervised autoencoder for autism disease diagnosis
An online self-adaptive modular neural network for time-varying systems
Correction of noisy labels via mutual consistency check
Transformer-guided Feature Pyramid Network for Multi-View Stereo
HMM-based H∞ state estimation for memristive jumping neural networks subject to fading channel
A novel condensing tree structure for rough set feature selection
A survey of bacterial foraging optimization
Tree Memory Networks for modelling long-term temporal dependencies
Supervised learning in spiking neural networks with noise-threshold
Tensor-based subspace learning and its applications in multi-pose face synthesis
Scale insensitive and focus driven mobile screen defect detection in industry
Semi-supervised semantic segmentation with cross teacher training
Coding distributed representations of natural scenes: a comparison of orthogonal and non-orthogonal models
Exponential synchronization for spatio-temporal directed networks via intermittent pinning control
A framework for rapid visual image search using single-trial brain evoked responses
A neural architecture for the symmetric-axis transform
Paraconsistent semantics of speech acts
Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems
AKF-SR: Adaptive Kalman filtering-based successor representation
Circular Complement Network for RGB-D Salient Object Detection
Neuroadaptive event-triggered tracking control for nonlinear systems with dynamic fault feedback and prescribed time convergence
NeuroTorch: DRAM-free nonvolatile memory-based hybrid training compute-in-memory system simulator
Wavelet-RNN: A randomized neural network with wavelet-transform-based feature extension
Polynomial neural networks for biomedical data: Learnable orthogonal polynomials in image analysis and neural signal interpolation
Interaction among cortical maps
Tracking by local structural manifold learning in a new SSIR particle filter
Object-oriented subspace analysis for airborne hyperspectral remote sensing imagery
Distance-reconstructed dependency enhanced aspect-based sentiment analysis with sentiment strength
Observer-based adaptive neural optimal control for discrete-time systems in nonstrict-feedback form
Self-learning complex neuro-fuzzy system with complex fuzzy sets and its application to adaptive image noise canceling
Learning to find reliable correspondences with local neighborhood consensus
Temporally-adjusted correlation filter-based tracking
Convergence index for BPN training
Safe screening for unbalanced optimal transport
Two birds with one stone: Classifying positive and unlabeled examples on uncertain data streams
CompleteDT: Point cloud completion with information-perception transformers
Adaptive layer and token selection for efficient fine-tuning of vision transformers
Background subtraction with multi-scale structured low-rank and sparse factorization
A neuronal model for the shaping of feature selectivity in IT by visual categorization
Enhancing cooperative multi-agent reinforcement learning through the integration of R-STDP and federated learning
Knowledge augmented transformer for adversarial multidomain multiclassification multimodal fake news detection
Less annotation on active learning using confidence-weighted predictions
Node classification via simplicial interaction with augmented maximal clique selection
Adaptive blind signal and image processing: learning algorithms and applications: A. Cichocki, S. Amari, Wiley, New York, 2002, 586pp., ISBN 0471 60791 6
Semi-SNN: Biological-inspired semi-supervised image classification with spiking neural networks
A framework-based transformer and knowledge distillation for interior style classification
Multi-model control of blast furnace burden surface based on fuzzy SVM
SDD-Net: Soldering defect detection network for printed circuit boards
Lateral refinement network for contour detection