yusuke1997/dblp-id-title huggingface dataset:
Unsupervised characterization of lessons according to temporal patterns of teacher talk via topic modeling
Suboptimal linear quadratic tracking control for multi-agent systems
Parameter-free multi-view clustering via refined tensor learning
Collaborative filtering enhanced subgraph embedding for link direction and sign prediction
Late better than early: A decision-level information fusion approach for RGB-Thermal crowd counting with illumination awareness
DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement
Weightless neural systems
Stability analysis of discrete-time stochastic neural networks with time-varying delays
Neuro-adaptive optimized control for full active suspension systems with full state constraints
Robust H ∞ state estimation for BAM neural networks with randomly occurring uncertainties and sensor saturations
A cascade adaboost and CNN algorithm for drogue detection in UAV autonomous aerial refueling
Behavioral task processing for cognitive robots using artificial emotions
TSUDepth: Exploring temporal symmetry-based uncertainty for unsupervised monocular depth estimation
Corner detection of intensity images with cellular neural networks (CNN) and evolutionary techniques
Conformity-based source subset selection for instance transfer
Graph regularization weighted nonnegative matrix factorization for link prediction in weighted complex network
Tools for neuroinformatic data exchange: an XML application for neuronal morphology data
Representation discrepancy bridging method for remote sensing image-text retrieval
Efficient motor imagery electroencephalogram classification via cross tensor coupling decomposition based on augmented covariance networks
Detecting action tubes via spatial action estimation and temporal path inference
Predicting minority class for suspended particulate matters level by extreme learning machine
Stochastic optimal control and the human oculomotor system
Efficient rejection strategies for prototype-based classification
Multi-modality 3D object detection in autonomous driving: A review
TempoGPT: Enhancing time series reasoning in multi-modal language model via quantizing embedding
Adaptive event-triggered control of Markovian jump complex dynamic networks with actuator faults
Synfire waves in small balanced networks
Long- and short-term self-attention network for sequential recommendation
Text-based indoor place recognition with deep neural network
Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis
Gait recognition in the presence of co-variate conditions
Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks
A variable selection aided residual generator design approach for process control and monitoring
Quasi-conformal statistical shape analysis of hippocampal surfaces for Alzheimer's disease analysis
Synchronization of delayed discrete-time neural networks subject to saturated time-delay feedback
coverforest: Conformal predictions with random forest in python
SRVC-LA: Sparse regularization of visual context and latent attention based model for video description
Mitigating biases in long-tailed recognition via semantic-guided feature transfer
Multi-target feature selection with subspace learning and manifold regularization
Feature-fusion-kernel-based Gaussian process model for probabilistic long-term load forecasting
Modeling directional selectivity using self-organizing delay-adaptation maps
Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems
Large-scale offline signature recognition via deep neural networks and feature embedding
AdaTerm: Adaptive T-distribution estimated robust moments for Noise-Robust stochastic gradient optimization
Euler Label Consistent K-SVD for image classification and action recognition
Double sparsity for multi-frame super resolution
Dual-level constraint based distributed graph convolution network for multimodal emotion recognition in conversation
Optimizing knowledge bias: An adaptive correction method for open knowledge graph construction
Clustering via Adaptive and Locality-constrained Graph Learning and Unsupervised ELM
Performance evaluation of the recommendation mechanism of information security risk identification
Adaptive second-order consensus of multi-agent systems with heterogeneous nonlinear dynamics and time-varying delays
Cross domain knowledge learning with dual-branch adversarial network for vehicle re-identification
Density peaks clustering algorithm via fusing natural neighbor and fuzzy information
Fusing two-stream convolutional neural networks for RGB-T object tracking
Fast unsupervised deep fusion network for change detection of multitemporal SAR images
Enhanced inter-camera person re-identification leveraging mixed-order relation-aware recurrent neural network
Hyper RBF model for accurate reaching in redundant robotic systems
Self-organizing multi-modeling: A different way to design intelligent predictors
3D Md-Unet: A novel model of multi-dataset collaboration for medical image segmentation
Sparse locality preserving discriminative projections for face recognition
Cost-sensitive Fuzzy Multiple Kernel Learning for imbalanced problem
The convergence of linear classifiers on large sparse data
SRAD: A spatially-aware reconstruction network with anomaly suppression for multi-class anomaly detection
Hetero-Center loss for cross-modality person Re-identification
A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image
Design of data-injection attacks for cyber-physical systems based on Kullback-Leibler divergence
Enhancing ELM by Markov Boundary based feature selection
Adaptive scene dependent filters for segmentation and online learning of visual objects
Unsupervised deep hashing based on multi-scale aggregation and optimal transport matching for image retrieval
Multi-cue based tracking
CoAtUNet: A symmetric encoder-decoder with hybrid transformers for semantic segmentation of breast ultrasound images
An efficient mesh-based face beautifier on mobile devices
Multi-view intuitionistic fuzzy support vector machines with insensitive pinball loss for classification of noisy data
Corrigendum to "A two-stage genetic algorithm for automatic clustering" [Neurocomputing 81 (2012) 49-59]
AFGN: Attention Feature Guided Network for object detection in optical remote sensing image
Update with out-of-sequence measurements
Time-varying delay-dependent finite-time boundedness with H∞ performance for Markovian jump neural networks with state and input constraints
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion
New results on stability for a class of neural networks with distributed delays and impulses
Shape-intensity-guided U-net for medical image segmentation
A novel multi-level hierarchy optimization algorithm for pipeline inner detector speed control
Five-instant type discrete-time ZND solving discrete time-varying linear system, division and quadratic programming
Convergence of an online gradient method with inner-product penalty and adaptive momentum
Expression-invariant face recognition using a biological disparity energy model
Automatic learning for object detection
Finite-time synchronization of fully complex-valued networks with or without time-varying delays via intermittent control
Multi-apartment residential microgrid monitoring system based on kernel canonical variate analysis
Bringing order to episodes: Mining timeline in social media
Quasi fixed-time synchronization of memristive Cohen-Grossberg neural networks with reaction-diffusion
Fast kernel Fisher discriminant analysis via approximating the kernel principal component analysis
Two-dimensional margin, similarity and variation embedding
Video summarization with a dual-path attentive network
Data augmentation for face recognition
Explainability in image captioning based on the latent space
Polynomial time solvable algorithms to a class of unconstrained and linearly constrained binary quadratic programming problems
An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification
Anti-periodic mild attractor of delayed hopfield neural networks systems with reaction-diffusion terms
Comments and further improvements on "New LMI conditions for delay-dependent asymptotic stability of delayed Hopfield neural networks"
Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques
DCSR: Deep clustering under similarity and reconstruction constraints
Registration for 3-D point cloud using angular-invariant feature
Dual-loss nonlinear independent component estimation for augmenting explainable vibration samples of rotating machinery faults
Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm
Clustering techniques for Fuzzy Cognitive Map design for time series modeling
A two-step approach to describing web topics via probable keywords and prototype images from background-removed similarities
Artificial intelligence for student performance prediction in blended learning: A systematic literature review
A novel SRC fusion method using hierarchical multi-scale LBP and greedy search strategy
Global exponential synchronization of complex networks with reaction diffusions and finite distributed delays coupling
A neurocomputational model of stochastic resonance and aging
Deep learning-based visual detection of marine organisms: A survey
Personalized Dual Transformer Network for sequential recommendation
Finite time non-fragile dissipative control for uncertain TS fuzzy system with time-varying delay
Aggregating hierarchical binary activations for image retrieval
Cross-source point cloud registration: Challenges, progress and prospects
Multimodal medical image fusion based on multichannel coupled neural P systems and max-cloud models in spectral total variation domain
A cellular learning automata model of investment behavior in the stock market
Distributed online convex optimization with a bandit primal-dual mirror descent push-sum algorithm
The wave expansion neural network
Assessing feature scorer results on high-dimensional datasets with t-SNE
A variational framework based on synergy between illumination and reflectance for Retinex decomposition
Stability analysis of heuristic dynamic programming algorithm for nonlinear systems
A block coordinate descent approach for sparse principal component analysis
Pool-based active learning with optimal sampling distribution and its information geometrical interpretation
Finite automata approach to reconstructibility of switched Boolean control networks
Infinite-dimensional sampling inference algorithm for linear dynamic system
Adaptive bit allocation product quantization
Automatic decoding of input sinusoidal signal in a neuron model: High pass homomorphic filtering
Eyebrow emotional expression recognition using surface EMG signals
A unified concept-based system for local, global, and misclassification explanations
Affine scale space: an affine invariant image structure to promote the detection of correspondences from stereo images
SEArch: A self-evolving framework for network architecture optimization
Multivariate soft repulsive system identification for constructing rule-based classification systems: Application to trauma clinical data
A causal feature selection algorithm for stock prediction modeling
Local adaptive joint sparse representation for hyperspectral image classification
pth moment synchronization of stochastic impulsive neural networks with time-varying coefficients and unbounded delays
Domain-unique group- and its subgroups-aware fault diagnostics for machine components: An open-set domain adaptation approach
Erratum to "Computational Neuroscience: Trends in Research": [Neurocomputing 70 (10-12) (2007)]
The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research
Clustering in extreme learning machine feature space
Variation sparse source imaging based on conditional mean for electromagnetic extended sources
Deep graph regularized non-negative matrix factorization for multi-view clustering
A weight initialization method based on neural network with asymmetric activation function
Exploring heterophily in calibration of graph neural networks
Dissimilarity-based indicator graph learning for clustering
A novel diffusion system for impulse noise removal based on a robust diffusion tensor
The emergence of movement units through learning with noisy efferent signals and delayed sensory feedback
Fault diagnosis observer for descriptor Takagi-Sugeno systems
Automatic ensemble feature selection for multi-view data
MOEA/D with opposition-based learning for multiobjective optimization problem
Enhancing conflict resolution in language models via abstract argumentation
Neural network-based adaptive tracking control of mobile robots in the presence of wheel slip and external disturbance force
Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance
Community structure enhanced cascade prediction
Robust low rank representation via feature and sample scaling
Stability-driven non-negative matrix factorization-based approach for extracting dynamic network from resting-state EEG
A Gaussian process regression based on variable parameters fuzzy dominance genetic algorithm for B-TFPMM torque estimation
A stigmergic approach for social interaction design in collaboration engineering
NetKI: A kirchhoff index based statistical graph embedding in nearly linear time
A loss function based parameterless learning automaton scheme
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams
HMSAnet: Hierarchical multi-scale spatiotemporal adaptive network for human activity detection in distributed optical fiber sensing
Displacement prediction of landslide based on generalized regression neural networks with K-fold cross-validation
MDiffSR: Mutual information and diffusion model in image super-resolution
Remote sensing image classification based on neural network ensemble algorithm
Practical applications of neural networks in texture analysis
Dynamic neural networks based adaptive optimal impedance control for redundant manipulators under physical constraints
Special issue on data mining applications and case study
Localizing discriminative regions for fine-grained visual recognition: One could be better than many
Directional attention weaving for text-grounded conversational question answering
Few-shot biomedical relation extraction using data augmentation and domain information
Improving generalization performance of adaptive gradient method via bounded step sizes
Binary classification of floor vibrations for human activity detection based on dynamic mode decomposition
An improved feature pyramid network for object detection
Classification for EEG report generation and epilepsy detection
A distributed deep reinforcement learning method for traffic light control
The role of NMDA currents in state transitions of the nucleus accumbens medium spiny neuron
Stability of quaternion-valued neutral-type neural networks with leakage delay and proportional delays
Deep learning with support vector data description
Adaptive neural network visual servo control for dynamic positioning of underwater vehicles
MambaCOD: Camouflaged object detection with state-space model
ε-Proximal support vector machine for binary classification and its application in vehicle recognition
Inhibitory conductance dynamics in cortical neurons during activated states
Multi-class kernel margin maximization for kernel learning
CNN for saliency detection with low-level feature integration
Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification
Patch-based camera-aware person-to-group learning and group similarity strategy for unsupervised group re-identification
Integrating pixels and segments: A deep-learning method inspired by the informational diversity of the visual pathways
Recognizing the gist of a visual scene: possible perceptual and neural mechanisms
A recurrent neural network approach for nonconvex interval quadratic programming
Self-attention feature fusion network for semantic segmentation
Anti-periodic solutions for shunting inhibitory cellular neural networks with time-varying delays in leakage terms
Synaptic learning models of map separation in the hippocampus
Iterated relevance matrix analysis for improved classification and robustness in prototype-based learning schemes
Graph-based broad learning system for classification
Synchronization between patches of local excitation in a cerebellar granular layer model
Hierarchical synchronization with structured multi-granularity interaction for video question answering
EntroCap: Zero-shot image captioning with entropy-based retrieval
Reduced twin support vector regression
Decentralized event-triggered control for interconnected time-delay stochastic nonlinear systems using neural networks
Learning blur invariant binary descriptor for face recognition
Reliable state estimation for neural networks with TOD protocol and mixed compensation
MFP-DETR: Marine UAV target detection based on multi-scale fuzzy perception
Global dissipativity of fractional-order neural networks with time delays and discontinuous activations
B-HMAX: A fast binary biologically inspired model for object recognition
Stochastic stability of Markovian jumping Hopfield neural networks with constant and distributed delays
Presynaptic control of efficacy of GABAergic synapses in the hippocampus
Hypergraph Spectral Hashing for image retrieval with heterogeneous social contexts
Drop-relationship learning for semi-supervised facial action unit recognition
Neural network observer-based networked control for a class of nonlinear systems
Centroid-based Contrastive Consistency Learning for transferable deepfake detection
Synthetic data generation for tabular health records: A systematic review
Adaptation of the temporal receptive fields of macaque V1 neurons
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
An end-to-end dual-stream fusion framework with subsequent detail-aware diffusion-based refinement for joint low-light segmentation and enhancement
mGOF-loc: A novel ensemble learning method for human protein subcellular localization prediction
DVFENet: Dual-branch voxel feature extraction network for 3D object detection
Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification
Generating a trading strategy in the financial market from sensitive expert data based on the privacy-preserving generative adversarial imitation network
Response selectivity and γ-frequency fluctuations of the membrane potential in visual cortical neurons
Buffer allocation optimization in ATM switching networks using ALOPEX algorithm
Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme
Noise is the fatal poison: A Noise-aware Network for noisy dataset classification
Efficient subspace clustering and feature extraction via ℓ2,1-norm and ℓ1,2-norm minimization
Adversarial defenses via vector quantization
Growth morphology of two-dimensional insect neural networks
Collective motion pattern inference via Locally Consistent Latent Dirichlet Allocation
Super-resolution of hyperspectral image via superpixel-based sparse representation
Computation meets neuroscience
Manifold discriminant regression learning for image classification
Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling
A novel adaptive sequential niche technique for multimodal function optimization
Exploiting label information to improve auto-encoding based classifiers
Reduce false positives for object detection by a priori probability in videos
Generalized dilation convolutional neural networks for remaining useful lifetime estimation
Creating functionally favorable neural dynamics by maximizing information capacity
STRAT: Image style transfer with region-aware transformer
H∞ control for cooperative multi-agent systems: Event-triggered off-policy reinforcement learning approach
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling
A collaborative-competitive representation based classifier model
Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants
A framework for static and dynamic analysis of multi-layer fuzzy cognitive maps
Detecting community structure via synchronous label propagation
Modified minimum squared error algorithm for robust classification and face recognition experiments
Joint structured pruning and dense knowledge distillation for efficient transformer model compression
Subthreshold cross-correlations between cortical neurons: A reference model with static synapses
Urdu Nastaliq recognition using convolutional-recursive deep learning
A novel dynamic nonlinear non-Gaussian approach for fault detection and diagnosis
Supervised learning in spiking neural networks with synaptic delay-weight plasticity
A local search algorithm for k -means with outliers
A spiking and bursting neuron circuit based on memristor
Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection
LECMARL: A cooperative multi-agent reinforcement learning method based on lazy mechanisms and efficient exploration
Relevant information undersampling to support imbalanced data classification
Physiological navigation amplifier for remote extracting PPG signals from face video clips
Distributed generalized Nash equilibrium computing based on dynamic tracking mechanism for nonsmooth aggregative games over time-varying networks
Face recognition with dense supervision
On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks
Simplified and yet Turing universal spiking neural P systems with polarizations optimized by anti-spikes
Synaptic Darwinism and neocortical function
Object recognition based on the Region of Interest and optimal Bag of Words model
Lateral enhancement in adaptive metric learning for functional data
Label distribution learning through exploring nonnegative components
Analysis and adaptive control for robust synchronization and H∞ synchronization of complex dynamical networks with multiple time-delays
Distributed neural predictor enhanced coordinated control of AUVs
Automatic image annotation by combining generative and discriminant models
H ∞ filtering for T-S fuzzy networked systems with stochastic multiple delays and sensor faults
Optimal construction of one-against-one classifier based on meta-learning
Could linear model bridge the gap between low-level statistical features and aesthetic emotions of visual textures?
Composite adaptive fuzzy H ∞ tracking control of uncertain nonlinear systems
Direct training of hardware-friendly weight binarized spiking neural network with surrogate gradient learning towards spatio-temporal event-based dynamic data recognition
ToStaGAN: An end-to-end two-stage generative adversarial network for brain tumor segmentation
Xnet: Task-specific attentional domain adaptation for satellite-to-aerial scene
Group-penalized feature selection and robust twin SVM classification via second-order cone programming
Applications of Neural-Net Computing
Attention-based cropping and erasing learning with coarse-to-fine refinement for fine-grained visual classification
Efficient similarity search on multidimensional space of biometric databases
Hardware-software partitioning of real-time operating systems using Hopfield neural networks
A fundamental element for neural computer - Folthret
Collectiveness analysis with visual attributes
The imprecise Dirichlet model as a basis for a new boosting classification algorithm
Neural networks for blind separation with unknown number of sources