yusuke1997/dblp-id-title huggingface dataset:
Neural networks and learning systems for human machine interfacing
Few-shot aero-engine bearing fault diagnosis with denoising diffusion based data augmentation
Revisiting 3D visual grounding with Context-aware Feature Aggregation
A recurrent network for modeling noisy temporal sequences
Hybrid SVMR-GPR for modeling of chaotic time series systems with noise and outliers
Support vector perceptrons
Deep semi-supervised regression with cooperative uncertainty-consistency regularization and adaptive calibration
Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning
A simplified GLRAM algorithm for face recognition
Fast multiplicative algorithms for symmetric nonnegative tensor factorization
Intermittent dynamic event-triggered state estimation for delayed complex networks based on partial nodes
Optimization of battery strengths in the Hodgkin-Huxley model
An improved discrete Hopfield neural network for Max-Cut problems
Reward-biased probabilistic decision-making: Mean-field predictions and spiking simulations
Action classification using a discriminative multilevel HDP-HMM
Quantum-inspired multimodal fusion with Lindblad master equation for sentiment analysis
Improving proximal policy optimization with alpha divergence
The Brain Dynamics Toolbox for Matlab
mdatagen: A python library for the artificial generation of missing data
How does the information-geometric measure depend on underlying neural mechanisms?
Robust filter pruning guided by deep frequency-features for edge intelligence
An approach for construction of Boolean neural networks based on geometrical expansion
Global exponential stability of a class of BAM networks with time-varying delays and continuously distributed delays
SGDAT: An optimization method for binary neural networks
Theta frequency locking by slow GABA (A) synaptic inhibition in a hippocampal SLM interneuronal network model
DNA computing inspired deep networks design
A region-based image caption generator with refined descriptions
On interactive learning-to-rank for IR: Overview, recent advances, challenges, and directions
A new condition for robust stability of uncertain neural networks with time delays
Delay tolerant containment control for second-order multi-agent systems based on communication topology design
Characteristics of information diffusion in blogs, in relation to information source type
F-score feature selection based Bayesian reconstruction of visual image from human brain activity
An integrated approach to region based image retrieval using firefly algorithm and support vector machine
Crowd density estimation via a multichannel dense grouping network
HI-Captioner: End-to-end image captioning based on hierarchical multi-scale encoding and cross-modal interactive decoding
Group tracking control of second-order multi-agent systems with fixed and Markovian switching topologies
Model reference fractional order control using type-2 fuzzy neural networks structure: Implementation on a 2-DOF helicopter
General conditions of stability in blind source separation models and score function selection
Online stability of backpropagation-decorrelation recurrent learning
Geometric Preserving Local Fisher Discriminant Analysis for person re-identification
Learning radial basis neural networks in a lazy way: A comparative study
Robust self-tuning semi-supervised learning
Beyond appearance model: Learning appearance variations for object tracking
BFC-Net: Boundary-Frame cross graph attention network for partially spoofed audio localization
Adaptive gradient-oriented sampling and dynamic-blended shadow generation for realistic face relighting
Automatic depression recognition using CNN with attention mechanism from videos
Chaos and hyperchaos in a Hopfield neural network
Detection of sludge bulking using adaptive fuzzy neural network and mechanism model
Fast and object-adaptive spatial regularization for correlation filters based tracking
Observer-based indirect adaptive fuzzy control for SISO nonlinear systems with unknown gain sign
PFCC-Net: A Polarized Fusion Cross-Correlation Network for efficient and high-quality embedding in few-shot classification
A power-type varying gain discrete-time recurrent neural network for solving time-varying linear system
Synchronization and stability of delayed fractional-order memristive quaternion-valued neural networks with parameter uncertainties
SC-Net: Multimodal metaphor detection using semantic conflicts
An improved class of real-coded Genetic Algorithms for numerical optimization ✰
Depth estimation with convolutional conditional random field network
Model fitting as an aid to bridge balancing in neuronal recording
Neuronal avalanches and criticality: A dynamical model for homeostasis
Deformation prediction of landslide based on functional network
Applying soft computing techniques to optimise a dental milling process
DRDNN: A robust model for time-variant nonlinear optimization under multiple equality and inequality constraints
A scalable smart router architecture with intelligent adaptive routing and fault-tolerant management
Augmenting interventional ultrasound using statistical shape model for guiding percutaneous nephrolithotomy: Initial evaluation in pigs
Complex spiking neural network with synaptic time delay evaluated by anti-damage capabilities under random attacks
Categorical fuzzy k-modes clustering with automated feature weight learning
Time-dependent series variance learning with recurrent mixture density networks
Spatial-spectral morphological mamba for hyperspectral image classification
Sparse additive machine with pinball loss
Outlier-resistant H ∞ filtering for a class of networked systems under Round-Robin protocol
U-RSNet: An unsupervised probabilistic model for joint registration and segmentation
Compatible anti-forggetting network for re-indexing free lifelong person re-identification
The existence, uniqueness and global exponential stability of periodic solution for a coupled system on networks with time delays
Inverse models and robust parametric-step neuro-control of a Humanoid Robot
Exponential convergence for shunting inhibitory cellular neural networks with oscillating coefficients in leakage terms
Toward direct links between model networks and experimental data
A few-shot knowledge reasoning method based on three-way partial order structure and prompt learning
Fixed-time adaptive consistent control of higher-order nonlinear multi-agent systems with full state constraints and input saturation
Depression risk recognition based on gait: A benchmark
Reinforcement learning of recurrent neural network for temporal coding
Restoration of hyperspectral image contaminated by Poisson noise using spectral unmixing
The distinguishing intrinsic brain circuitry in treatment-naïve first-episode schizophrenia: Ensemble learning classification
Learning a more compact representation for low-rank tensor completion
Self-calming of a random network of dendritic neurons
Feature selection via risk-bound utility maximization
Dissipativity analysis of singular systems with Markovian jump parameters and mode-dependent mixed time-delays
Multiple dynamic graph based traffic speed prediction method
Dual-stage impulsive control for synchronization of memristive chaotic neural networks with discrete and continuously distributed delays
A two-step framework for highly nonlinear data unfolding
Probabilistic faster R-CNN with stochastic region proposing: Towards object detection and recognition in remote sensing imagery
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation
A dynamic Bayesian network to represent discrete duration models
Neural construction of 3D medial axis from the binocular fusion of 2D MAs
Imbalanced open set domain generalization network for sensor fault diagnosis
An online generalized eigenvalue version of Laplacian Eigenmaps for visual big data
What learns next: Learning intents guided dual contrastive learning model for online course recommendation
SiamOAN: Siamese object-aware network for real-time target tracking
Inductive bias for semi-supervised extreme learning machine
WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering
Edge-aware deep image deblurring
PRNet++: Learning towards generalized occluded pedestrian detection via progressive refinement network
Hybrid control of Hopf bifurcation in complex networks with delays
Online learning for vector autoregressive moving-average time series prediction
Unleashing the potential of spiking neural networks for epileptic seizure detection: A comprehensive review
Recent advances in deep learning for object detection
Ultra-low latency spiking neural networks with spatio-temporal compression and synaptic convolutional block
Detecting global and local topics via mining twitter data
EIAformer: Empowering transformer with enhanced information acquisition for time series forecasting
Robust online object tracking via the convex hull representation model
A robust multimodal approach for emotion recognition
Stability analysis for a class of neutral-type neural networks with Markovian jumping parameters and mode-dependent mixed delays
Editorial: Special issue: Life system modeling and simulation
Nonlinearly activated gradient neuronet with fixed-time convergence for online equality-constrained quadratic programming
BLAST: Towards robust detection of sleep spindles across clinical settings
Adaptive strategy templates using deep reinforcement learning for multi-issue bilateral negotiation
Constrained Semi-Supervised Growing Self-Organizing Map
Non-negative scaled edge-consensus of saturated networked systems via adaptive output-feedback control
A novel consensus based prediction strategy for data sensing
Global attractiveness and quasi-invariant sets of impulsive neutral stochastic functional differential equations driven by fBm
Discrete direct adaptive ELM controller for active vibration control of nonlinear base isolation buildings
Synchronization of coupled Duffing-type oscillator dynamical networks
Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs
Hyperbolic Hopfield neural networks with directional multistate activation function
One-step Multi-view Spectral Clustering with Subspaces Fusion on Grassmann manifold
Virtual guide automatic berthing control of marine ships based on heuristic dynamic programming iteration method
Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals
Adaptive land classification and new class generation by unsupervised double-stage learning in Poincare sphere space for polarimetric synthetic aperture radars
Speed sensor fault tolerant controller design for induction motor drive in EV
A fast iterative single data approach to training unconstrained least squares support vector machines
Motion-compensated frame interpolation with weighted motion estimation and hierarchical vector refinement
Emergent vision system of autonomous virtual characters
Online learning neural tracker
Square-mean almost periodic solutions for impulsive stochastic shunting inhibitory cellular neural networks with delays
The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals
Impaired homeostatic regulation of feedback inhibition associated with system deficiency to detect fluctuation in stimulus intensity: a simulation study
Intelligent power system stabilizer design using adaptive fuzzy sliding mode controller
Hebbian learning and temporary storage in the convergence-zone model of episodic memory
Discrimination of behaviorally relevant signals by auditory receptor neurons
Stability and Hopf bifurcation on four-neuron neural networks with inertia and multiple delays
Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning
A multi-head mixed attention mechanism enhanced multimodal knowledge graph for personalized recommendation
Neural classification technique for background rejection in high energy physics experiments
An improved reinforcement learning algorithm based on knowledge transfer and applications in autonomous vehicles
Two-hidden-layer extreme learning machine for regression and classification
Comparison principle and stability of stochastic delayed neural networks with Markovian switching
FlowGS: End-to-end correspondence-guided 3D Gaussian Splatting from sparse unposed images
Memristive recurrent neural network
Co-saliency detection via integration of multi-layer convolutional features and inter-image propagation
Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation
Bidirectional associative memory with learning capability using simultaneous perturbation
Information-aware attention dynamic synergetic network for multivariate time series long-term forecasting
Multilayer perceptron neural networks to compute quasistatic parameters of asymmetric coplanar waveguides
MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning
Efficient multi-modal hypergraph learning for social image classification with complex label correlations
Multi-feature fusion deep networks
On quantization error of self-organizing map network
Phase analysis of single-trial EEGs: Phase resetting of alpha and theta rhythms
Self-representation dimensionality reduction for multi-model classification
Multi-directional rain streak removal based on infimal convolution of oscillation TGV
Combination of projectors, standard texture descriptors and bag of features for classifying images
Dynamic event-triggered approach for cluster synchronization of complex dynamical networks with switching via pinning control
Action recognition by Latent Duration Model
Combining visual attention model with multi-instance learning for tag ranking
Estimating movements of a robotic manipulator by hybrid constructive neural networks
Fuzzy linear proximal support vector machines for multi-category data classification
Lattice computing and natural computing
Decoding stimulation intensity from evoked ECoG activity
TOSELM: Timeliness Online Sequential Extreme Learning Machine
Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network
Cluster synchronization for delayed Lur'e dynamical networks based on pinning control
On k -means iterations and Gaussian clusters
Special issue on selected and extended papers from the 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015)
Neural network based integral sliding mode optimal flight control of near space hypersonic vehicle
Neural dynamics for adaptive attitude tracking control of a flapping wing micro aerial vehicle
Heterogeneous Excitation-and-Squeeze Network for visual dialog
Object co-segmentation via salient and common regions discovery
Exploration of a dialog-based tunable retina encoder for retina implants
A prediction algorithm for data analysis in GPR-based surveys
Cross-media video event mining based on attention graph structure learning
Hybrid classical-quantum neural networks enhanced by quantum architecture search for coronary artery stenosis detection
Skeleton-based action recognition with extreme learning machines
Photo-sketch synthesis and recognition based on subspace learning
Stochastic linear quadratic optimal control for model-free discrete-time systems based on Q-learning algorithm
Deep memory and prediction neural network for video prediction
Synchronization of reaction-diffusion neural networks with random time-varying delay via intermittent boundary control
Being aware of localization accuracy by generating predicted-IoU-guided quality scores
Investigating the use of motion-based features from optical flow for gait recognition
Resilient control of networked control systems with stochastic denial of service attacks
Generalizable AI-driven cross-domain breast cancer diagnosis based on mammograms by solving Fourier transformation-based jigsaw puzzles
Simultaneous paired intracellular and tetrode recordings for evaluating the performance of spike sorting algorithms
Bottleneck of using a single memristive device as a synapse
New approaches on stability criteria for neural networks with two additive time-varying delay components
Collaborative Generative Adversarial Network with Visual perception and memory reasoning
Pyramidal Reservoir Graph Neural Network
LMIRA: Large Margin Instance Reduction Algorithm
Model of turbine optimal initial pressure under off-design operation based on SVR and GA
EmoVerse: Enhancing Multimodal Large Language Models for Affective Computing via Multitask Learning
Improved Landcover Classification using Online Spectral Data Hallucination
Neural ensemble states in prefrontal cortex identified using a hidden Markov model with a modified EM algorithm
Online finite-horizon optimal learning algorithm for nonzero-sum games with partially unknown dynamics and constrained inputs
Semi-supervised subclass support vector data description for image and video classification
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
Multi-block statistics local kernel principal component analysis algorithm and its application in nonlinear process fault detection
Fixed-time stabilization and synchronization for fuzzy inertial neural networks with bounded distributed delays and discontinuous activation functions
Neuro-immune approach to solve routing problems
Fully distributed observer-based scaled consensus of multi-agent systems with actuator saturation and edge-based event-triggered communication
Competitive learning and vector quantization in digital VLSI systems
Visualizing distortions and recovering topology in continuous projection techniques
Separable vocabulary and feature fusion for image retrieval based on sparse representation
Automatic segmentation of left ventricle from cardiac MRI via deep learning and region constrained dynamic programming
Multi-view based unlabeled data selection using feature transformation methods for semiboost learning
On the evolutionary design of heterogeneous Bagging models
Treeago: Tree-structure aggregation and optimization for graph neural network
The Naïve Associative Classifier (NAC): A novel, simple, transparent, and accurate classification model evaluated on financial data
Multiscale face recognition in cluttered backgrounds based on visual attention
Estimating cortical connectivity for developing human cerebral cortex
Hopf Bifurcation in a Chaotic Associative Memory
Bat-inspired algorithms with natural selection mechanisms for global optimization
End-to-end semantic-aware object retrieval based on region-wise attention
An H∞/H∞ optimization technique to distributed fault detection for multi-agent systems based on event-triggered mechanism
RDFCNet: RGB-guided depth feature calibration network for RGB-D salient object detection
Visual affordance detection using an efficient attention convolutional neural network
A three-stage model for camouflaged object detection
Robust monocular 3D face reconstruction under challenging viewing conditions
An efficient scale-aware model based on the improved RT-DETR for pomegranate growth stage detection
Transformer for Skeleton-based action recognition: A review of recent advances
An efficient feature selection algorithm for hybrid data
DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories
EVOLVE: Learning volume-adaptive phases for fast 3D magnetic resonance scan and image reconstruction
Neural networks-based composite learning control for robotic systems with predefined time error constraints
Learning to rank images for complex queries in concept-based search
Self-adaptive autowave pulse-coupled neural network for shortest-path problem
Combine image quality fusion and illumination compensation for video-based face recognition
Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination
Distributed formation control of 6-DOF autonomous underwater vehicles networked by sampled-data information under directed topology
Fine-grained adaptive contrastive learning for unsupervised feature extraction
Stability analysis of stochastic fuzzy cellular neural networks with time-varying delays
A Topic Drift Model for authorship attribution
A novel dictionary learning method for sparse representation with nonconvex regularizations
Contrastive learning from label distribution: A case study on text classification
Boosting multi-document summarization with hierarchical graph convolutional networks
A population-based artificial immune system for numerical optimization
GAN-based anomaly detection: A review
Convergence of decomposition methods for support vector machines
Enhancing long-term person re-identification using global, local body part, and head streams
Proposal of relative-minimization learning for behavior stabilization of complex-valued recurrent neural networks
Analysis and adaptive control for robust H∞ synchronization of complex coupled parabolic networks
Online active learning for an evolving fuzzy neural classifier based on data density and specificity
Efficient distributed clustering using boundary information
Incorporating sentimental trend into gated mechanism based transformer network for story ending generation
Spatial and temporal visual attention prediction in videos using eye movement data
Reinforcement learning-based receding-horizon control for optimal output regulation problem with sensor and actuator attacks
Two dimensional synaptically generated traveling waves in a theta-neuron neural network
Fast training of support vector machines on the Cell processor
End-to-end attack on text-based CAPTCHAs based on cycle-consistent generative adversarial network
AID-RL: Active information-directed reinforcement learning for autonomous source seeking and estimation
Generative neural architecture search
Verbalization diversification for relation extraction with long-tailed entity augmentation
Redundant co-training: Semi-supervised segmentation of medical images using informative redundancy
OV-VG: A benchmark for open-vocabulary visual grounding
UAV formation control based on ensemble reinforcement learning
A realistic model of tonotopic reorganization in the auditory cortex in response to cochlear lesions
A personalized point-of-interest recommendation model via fusion of geo-social information
Geolocation estimation of target vehicles using image processing and geometric computation
Border Pairs Method - constructive MLP learning classification algorithm
DOG: A new background removal for object recognition from images
SynCo-OOD: Synthetic-contrastive learning for graph out-of-distribution detection
Multi-objective adaptive Nesterov-like acceleration algorithm for multi-task deep learning
ABM: Adaptive bias mitigation for class-imbalanced semi-supervised learning
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification
Automatic detection and interpretation of nominal metaphor based on the theory of meaning
Parallel search strategy in kernel feature space to track FLIR target
AHCL-TC: Adaptive Hypergraph Contrastive Learning Networks for Text Classification
Integration of short and long-term interests: A preference aware session-based recommender
Attractors coexistence and representation research of Lotka-Volterra recurrent neural networks by matrix analysis theory
Single-frame image recovery using a Pearson type VII MRF
Classification of neuronal activities from tetrode recordings using independent component analysis
Exponential synchronization of Markovian jump complex dynamical networks with partially uncertain transition rates and stochastic disturbances
Further results on absolute stability of Lur'e systems with a time-varying delay
A nonlinear and explicit framework of supervised manifold-feature extraction for hyperspectral image classification
A biased competition computational model of spatial and object-based attention mediating active visual search
Adaptive neural design of fixed-time controllers for MIMO systems with nonlinear static and dynamic interactions