yusuke1997/dblp-id-title huggingface dataset:
Boosting few-shot action recognition via time-enhanced multimodal adaptation learning
Blind image quality index with high-level Semantic Guidance and low-level fine-grained Representation
Identifiability analysis and parameter estimation of a single Hodgkin-Huxley type voltage dependent ion channel under voltage step measurement conditions
Fast exact fingerprint indexing based on Compact Binary Minutia Cylinder Codes
Investigating the geometric structure of neural activation spaces with convex hull approximations
Fraud detection in multi-relation graph: Contrastive Learning on Feature and Structural Levels
Scale-Recursive Network with point supervision for crowd scene analysis
Finite-horizon H∞ state estimation for artificial neural networks with component-based distributed delays and stochastic protocol
Learning visual stimulus-evoked EEG manifold for neural image classification
Expectation-Maximization algorithm for finite mixture of α-stable distributions
Role of locality, fidelity and symmetry regularization in learning explainable representations
An iterative posterior NMF method for speech enhancement in the presence of additive Gaussian noise
Co-adaptation of self-organizing maps by evolution and learning
WaveletFT: Discrete wavelet transform for parameter-efficient fine-tuning
ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks
Analysis of dynamics and object recognition performance in coupled map networks
State feedback control of interval type-2 T-S model based uncertain stochastic systems with unmatched premises
Mask-CDNet: A mask based pixel change detection network
A divide-and-conquer approach to neural natural language generation from structured data
Multi-stage context refinement network for semantic segmentation
Neurokinematic modeling of complex swimming patterns of the larval zebrafish
A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
A Support Vector Machine-Firefly Algorithm based forecasting model to determine malaria transmission
Control of network output by synaptic depression
Neural-network-based backstepping control for the post-capture tethered space combination using HDO
Quantum-inspired evolutionary algorithm for continuous space optimization based on Bloch coordinates of qubits
AcuGPT-Agent: An LLM-powered intelligent system for acupuncture-based infertility treatment
Enhancing performance of the backpropagation algorithm via sparse response regularization
Hierarchical-model salient object detection based on manifold ranking
Anti-swing control for a suspension cable system of a helicopter with cable swing constraint and unknown dead-zone
Bagging and AdaBoost algorithms for vector quantization
Fast beta wavelet network-based feature extraction for image copy detection
A survey on multimodal-guided visual content synthesis
Event-triggered ISS-modular neural network control for containment maneuvering of nonlinear strict-feedback multi-agent systems
A novel reverse sparse model utilizing the spatio-temporal relationship of target templates for object tracking
Local manifold sparse model for image classification
Optimal tracking control for unknown nonlinear systems with uncertain input saturation: A dynamic event-triggered ADP algorithm
A modular neural network architecture with concept
A hardware friendly unsupervised memristive neural network with weight sharing mechanism
New delay-dependent stability criteria for uncertain genetic regulatory networks with time-varying delays
A generalized hybrid nonconvex variational regularization model for staircase reduction in image restoration
Characterization of the convergence of stationary Fokker-Planck learning
Ranking-based adaptive query generation for DETRs in crowded pedestrian detection
Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
A random-walk based recommendation algorithm considering item categories
Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative
Using promoters and functional introns in genetic algorithms for neuroevolutionary learning in non-stationary problems
Meta-guided dual path convolutional neural network for depression diagnosis with functional MR images
Global dissipativity of delayed discrete-time inertial neural networks
Deep spatio-temporal graph convolutional network for traffic accident prediction
Ridge regression with adaptive additive rectangles and other piecewise functional templates
Multistability of recurrent neural networks with time-varying delays and nonincreasing activation function
On measuring confidence levels using multiple views of feature set for useful unlabeled data selection
A critical global convergence analysis of recurrent neural networks with general projection mappings
Learning binary factor analysis with automatic model selection
Efficient image super resolution via Mixed Window and Dimension Interaction
Early experiments with neural diversity machines
Boundary-aware box refinement for object proposal generation
A rate-dependent coreset selector for continual learning on time-varying data distributions
Corticothalamic feedback can induce hypersynchronous low-frequency rhythms in the physiologically intact thalamus
Exploratory analysis of functional data via clustering and optimal segmentation
DRRP-Net: Dense-Res- Recurrent Prototypical Networks for carbon emission prediction using satellite image time series
GCN-FFNN: A two-stream deep model for learning solution to partial differential equations
Synchronization of continuous-time Markovian jumping singular complex networks with mixed mode-dependent time delays
Multi-orientation scene text detection with scale-guided regression
STC-NAS: Fast neural architecture search with source-target consistency
[Emoji] Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances
Dynamic group consensus for delayed heterogeneous multi-agent systems in cooperative-competitive networks via pinning control
A novel stacking ensemble variant based on machine learning for short-term wind speed forecasting
Recent advances and applications in neural networks and intelligent control
Resilient consensus with switching networks and heterogeneous agents
Domain-aware multi-modality fusion network for generalized zero-shot learning
Bearing fault diagnosis under heavy noise: A multi-scale dilated convolution and dense temporal convolutional network
A progressive scale difference learning network for video prediction
Complex Zhang neural networks for complex-variable dynamic quadratic programming
Dynamic Online HDP model for discovering evolutionary topics from Chinese social texts
A novel travel-time based similarity measure for hierarchical clustering
Spore: Spatio-Temporal Collaborative Perception and representation space disentanglement for remote heart rate measurement
Multi-facet user preference learning for fine-grained item recommendation
Date-field retrieval in scene image and video frames using text enhancement and shape coding
RTA: A reinforcement learning-based temporal knowledge graph question answering model
Heteroscedastic ensemble deep random vector functional link neural network with multiple output layers for High Frequency Volatility Forecasting and Risk Assessment
Probabilistic threshold query optimization based on threshold classification using ELM for uncertain data
Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease
Wavelet twin support vector machines based on glowworm swarm optimization
R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction
Event-triggered guaranteed cost consensus for uncertain nonlinear multi-agent systems with time delay
Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems
Clustering by fast search and find of density peaks via heat diffusion
State prediction for multiple diffusion targets based on point pattern physics-informed neural network
Clustering for vehicle routing with a competitive neural network
Reservoir stack machines
Robust vehicle detection by combining deep features with exemplar classification
A novel fault diagnosis method for electric submersible progressing cavity pumps: Addressing imbalanced mixed-domain datasets with complex subdomains
A correlation graph approach for unsupervised manifold learning in image retrieval tasks
A CNN-based comparing network for the detection of steady-state visual evoked potential responses
Multi-stream multi-scale deep convolutional networks for Alzheimer's disease detection using MR images
Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity
Deep eyes: Joint depth inference using monocular and binocular cues
Large-capacity and robust video watermarking via DWT coefficient separation/reconstruction and multi-scale spatiotemporal fusion
A DLM watermarking method based on a spatiotemporal chaos with DNA computing
HYB-PARSIMONY: A hybrid approach combining Particle Swarm Optimization and Genetic Algorithms to find parsimonious models in high-dimensional datasets
Forward approximation and backward approximation in fuzzy rough sets
Rainforest: A three-stage distribution adaptation framework for unsupervised time series domain adaptation
Effect of morphing on embedding capacity and embedding efficiency
Spatial-temporal pyramid based Convolutional Neural Network for action recognition
On problem-oriented kernel refining
Focus on hierarchical features: Soft-weighted hierarchical features network
Generalization ability of Boolean functions implemented in feedforward neural networks
Continuously self-adjusting fuzzy cognitive map with semi-autonomous concepts
A novel algorithm of remote sensing image fusion based on Shearlets and PCNN
Evolving J-CO-QL+ with fuzzy evaluators for flexible queryisng of JSON data sets
Global exponential stability and periodic solutions of high-order bidirectional associative memory (BAM) neural networks with time delays and impulses
Distributed event-based consensus control of multi-agent system with matching nonlinear uncertainties
Event-driven optimal control for uncertain nonlinear systems with external disturbance via adaptive dynamic programming
Skew-normal distributions for modeling asymmetric moving tendencies in pedestrian trajectories
LRP-net: A lightweight recursive pyramid network for single image deraining
Multi-modal sarcasm detection based on Multi-Channel Enhanced Fusion model
Consensusability of discrete-time linear multi-agent systems with multiple inputs
Dynamic programming based optimized product quantization for approximate nearest neighbor search
Passivity analysis of stochastic delayed neural networks with Markovian switching
Optimizing global parameter synchronization for geo-distributed machine learning in reconfigurable optical wide area networks
SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems
An associative sparse coding neural network and applications
Recovering 6D object pose from RGB indoor image based on two-stage detection network with multi-task loss
Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures
Stochastic leader-following consensus of multi-agent systems with measurement noises and communication time-delays
An efficient and effective deep convolutional kernel pseudoinverse learner with multi-filter
Hierarchical hybrid prior-knowledge guided cervical cell classification
MR-DARTS: Restricted connectivity differentiable architecture search in multi-path search space
FocalFusion: An object-centric temporal fusion framework for multi-modal 3D detection
Spike manager: a new tool for spontaneous and evoked neuronal networks activity characterization
DHRN: A robot autonomous navigation method in crowds based on heterogeneous framework
Open set domain adaptation with latent structure discovery and kernelized classifier learning
Dynamical response properties of a canonical model for type-I membranes
Topology identification of coupled neural networks with multiple weights
Adaptive leaderless consensus of agents in jointly connected networks
Reading into the mind's eye: Boosting automatic visual recognition with EEG signals
A normative model of attention: receptive field modulation
Saliency detection via multi-view graph based saliency optimization
Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions
Pose graph parsing network for human-object interaction detection
HieNN-DWE: A hierarchical neural network with dynamic word embeddings for document level sentiment classification
Learning of Fuzzy Cognitive Map models without training data
Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98]
Adaptive weighted imbalance learning with application to abnormal activity recognition
Two-stage extreme learning machine for regression
Monocular thermal SLAM with neural radiance fields for 3D scene reconstruction
A novel low-rank hypergraph feature selection for multi-view classification
A prompt-tuning contrastive learning model for anchor link prediction
Reinforcement learning based sensing policy optimization for energy efficient cognitive radio networks
Exploring fusion domain: Advancing infrared and visible image fusion via IDFFN-GAN
On the number and the distribution of RBF centers
A Study on the effects of recursive convolutional layers in convolutional neural networks
A dual-domain deep lattice network for rapid MRI reconstruction
Mechanisms of spike inhibition in a cortical network induced by transcranial magnetic stimulation
From theory to practice: The evolution and comparative analysis of homogeneous vs. heterogeneous Graph Neural Networks in recommender systems
Towards Unsupervised Domain-Specific Open-World Recognition
Domain adaptation with a shrinkable discrepancy strategy for cross-domain sentiment classification
Circuit partitioning using mean field annealing
A multiresolution neural network approach to invariant image recognition
Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression
Graph convolutional network for fast video summarization in compressed domain
Computing optimal discrete readout weights in reservoir computing is NP-hard
LaSNN: Layer-wise ANN-to-SNN distillation for effective and efficient training in deep spiking neural networks
Interpretability of deep neural networks: A review of methods, classification and hardware
Fuzzy mixed-prototype clustering algorithm for microarray data analysis
Maximization of statistical moments for blind separation of sources revisited
MKE-PLLM: A benchmark for multilingual knowledge editing on pretrained large language model
Deep binary codes for large scale image retrieval
Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds
3D human pose estimation with siamese equivariant embedding
A new fuzzy approach for handling class labels in canonical correlation analysis
Network-based fuzzy H ∞ controller design for T-S fuzzy systems via a new event-triggered communication scheme
Theoretical analysis of dynamic binary neural networks with simple sparse connection
TensorProjection layer: A tensor-based dimension reduction method in deep neural networks
Dual-channel hypergraph networks in the time-frequency domain for learning advanced spatiotemporal dependencies in multivariate time series
Infrared facial expression recognition via Gaussian-based label distribution learning in the dark illumination environment for human emotion detection
Semantic pattern matching in netbases
New error function designs for finite-time ZNN models with application to dynamic matrix inversion
Hierarchical age estimation with dissimilarity-based classification
An improved backpropagation algorithm to avoid the local minima problem
Camouflaged object detection with counterfactual intervention
Mixtures of posterior and prior variational autoencoders for representation learning and cluster analysis in latent space
ARNN: Attentive recurrent neural network for multi-channel EEG signals to identify epileptic seizures
SAGE: Self-evolving Agents with Reflective and Memory-augmented Abilities
RABOC: An approach to handle class imbalance in multimodal biometric authentication
CTSARF: A Chinese Text Similarity Analysis Model based on Residual Fusion
Search and rescue operations in wildfires using unmanned aerial vehicles: A multi-agent deep reinforcement learning approach
CIRNet: An improved RGBT tracking via cross-modality interaction and re-identification
Action potential backpropagation in a model thalamocortical relay cell
Magic3DSketch: Create colorful 3D models from sketch-based 3D modeling guided by text and language-image pre-training
Deterministic convergence of conjugate gradient method for feedforward neural networks
A neural networks learning algorithm for minor component analysis and its convergence analysis
Combining contextual neural networks for time series classification
Geometric preprocessing, geometric feedforward neural networks and Clifford support vector machines for visual learning
Liquid state machine and its separation ability as function of electrical parameters of cell
Interaction-transformation symbolic regression with extreme learning machine
Schatten-q regularizer constrained low rank subspace clustering model
Multimodal sentiment analysis based on disentangled representation learning and cross-modal-context association mining
Special issue on advanced intelligent computing: Theory and applications
Passivity analysis of stochastic neural networks with time-varying delays and leakage delay
Large margin principle in hyperrectangle learning
Predicting atypical visual saliency for autism spectrum disorder via scale-adaptive inception module and discriminative region enhancement loss
BFP: Balanced filter pruning via knowledge distillation for efficient deployment of CNNs on edge devices
Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer
Aircraft trajectory prediction in terminal airspace with intentions derived from local history
A novel context-aware multimodal framework for persian sentiment analysis
Blind separation of rotating machine sources: bilinear forms and convolutive mixtures
Hyperspectral imagery classification with deep metric learning
Special issue: Behaviours in video
A coupled neural oscillator model for recruitment and annihilation of the degrees of freedom of oscillatory movements
Binary SIPPER plankton image classification using random subspace
FATL: Frozen-feature augmentation transfer learning for few-shot long-tailed sonar image classification
MPP-net: Multi-perspective perception network for dense video captioning
Discriminant document embeddings with an extreme learning machine for classifying clinical narratives
Face forgery detection via identification of evident tampered regions and multi-view analysis
Maximum likelihood FIR filter for visual object tracking
Cross-modal feature symbiosis for personalized meta-path generation in heterogeneous networks
Stress assessment with EEG and machine learning in affective VR environments
Towards improving classification power for one-shot object detection
Multiagent-consensus-MapReduce-based attribute reduction using co-evolutionary quantum PSO for big data applications
Learning to recommend journals for submission based on embedding models
Curbing the attentional blink: Practice keeps the mind's eye open
NN based adaptive FTC for fractional-order time-varying delays system with actuator faults
MambaAD: Multivariate time series anomaly detection in IoT via multi-view Mamba
Hidden Markov models with set-valued parameters
Audio-visual representation learning for anomaly events detection in crowds
DTC: Transfer learning for commonsense machine comprehension
Robust stability of stochastic Cohen-Grossberg neural networks with mixed time-varying delays
Network based on the synergy of knowledge and context for natural language inference
Imputation of missing data with class imbalance using conditional generative adversarial networks
Speculative text mining for document-level sentiment classification
Event-triggered information fusion for networked systems with missing measurements and correlated noises
Bias-variance decomposition knowledge distillation for medical image segmentation
Latent semantic concept regularized model for blind image deconvolution
An improved deep learning approach based on exponential moving average algorithm for atrial fibrillation signals identification
Reputation features for trust prediction in social networks
Blind image quality assessment based on joint log-contrast statistics
Modeling single neuron behavior using stochastic differential equations
Adaptive granular-ball based density peak clustering
High accuracy FPGA activation function implementation for neural networks
Position tracking control of switched reluctance motor with adaptive linear element based on current-sharing method
Adversarial α-divergence minimization for Bayesian approximate inference
Selected confidence sample labeling for domain adaptation
A scalable and reconfigurable in-memory architecture for ternary deep spiking neural network with ReRAM based neurons
Physiological signal analysis using explainable artificial intelligence: A systematic review
Advances in extreme learning machines (ELM2015)
A lightweight convolution and vision transformer integrated model with multi-scale self-attention mechanism
Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities
Some new results on dynamics of delayed Cohen-Grossberg neural networks without intra-neuron delay
A comprehensive structural-based similarity measure in directed graphs
Heterogeneous graph attention network with motif clique
GPU-based biclustering for microarray data analysis in neurocomputing
Stability and bifurcation analysis of reaction-diffusion neural networks with delays
Global relative position space based pooling for fine-grained vehicle recognition
Time-varying generalized tensor eigenanalysis via Zhang neural networks
Multi-scale hierarchical recurrent neural networks for hyperspectral image classification
Barycentric coordinate-based distributed localization for wireless sensor networks subject to random lossy links
Multi-type synchronization dynamics of delayed reaction-diffusion recurrent neural networks with discontinuous activations
Geodesic-like features for point matching
Sarcasm Detection with Sentiment Semantics Enhanced Multi-level Memory Network
Balanced masking strategy for multi-label image classification
Recognition of characters on curved metal workpiece surfaces based on multi-exposure image fusion and deep neural networks
Learning distributed representations of RNA sequences and its application for predicting RNA-protein binding sites with a convolutional neural network
A generic FPGA-based hardware architecture for recursive least mean p-power extreme learning machine
Lane detection with vanishing box based dynamic anchor generation mechanism
Encoding specificity of scale-free spiking neural network under different external stimulations
M-matrix-based globally asymptotic stability criteria for genetic regulatory networks with time-varying discrete and unbounded distributed delays
Novel designs of spiking neuron circuit and STDP learning circuit based on memristor
ART-type CMAC network classifier
Time series forecasting using a hybrid ARIMA and neural network model
Randomizing outputs to increase variable selection accuracy
A finite-time convergent neural dynamics for online solution of time-varying linear complex matrix equation