yusuke1997/dblp-id-title huggingface dataset:
Lagrangian object relaxation neural network for combinatorial optimization problems
Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes
Exponential elastic preserving projections for facial expression recognition
The NeuroHomology database
Opinion spam detection by incorporating multimodal embedded representation into a probabilistic review graph
Extended fuzzy hyperline-segment neural network with classification rule extraction
On designing state estimators for discrete-time recurrent neural networks with interval-like time-varying delays
Modified sparse representation based image super-resolution reconstruction method
On the solution of the parity problem by a single hidden layer feedforward neural network
Exploiting cross-source knowledge for warming up community question answering services
Fingerprint denoising using ridge orientation based clustered dictionaries
Disturbance observer based inverse optimal control for a class of nonlinear systems
The functional link net and learning optimal control
Unseen object categorization using multiple visual cues
A dual medical ontology and relational graph framework with neural ordinary differential equations for diagnostic prediction
Correlation-based embedding of pairwise score data
Cortico-thalamocortical operations of multi-target spatial working memory
Evolving field models for inhibition effects in early vision
Role of astrocytes in the self-repairing characteristics of analog neural networks
Prediction of the Italian electricity price for smart grid applications
New studies on dynamic analysis of inertial neural networks involving non-reduced order method
Forecasting using twinned principal curves and twinned self-organising maps
Density saliency for clustered building detection and population capacity estimation
MSEC: Multi-Scale Erasure and Confusion for fine-grained image classification
Global μ -synchronization of impulsive complex-valued neural networks with leakage delay and mixed time-varying delays
Improving vision-language models through intra-modal contrastive learning-based hard sample mining
A variable step learning algorithm for Gaussian mixture models based on the Bhattacharyya coefficient and correlation coefficient criterion
Cooperative multi-agent actor-critic approach using adaptive value decomposition and parallel training for traffic network flow control
Adversarial de-noising of electrocardiogram
Finite-time distributed cooperative control for heterogeneous nonlinear multi-agent systems with unknown input constraints
Fast learning method for back-propagation neural network by evolutionary adaptation of learning rates
Neuro-fuzzy based identification method for Hammerstein output error model with colored noise
Passive browser identification with multi-scale Convolutional Neural Networks
Similar concept matters: Prototype analogy for few-shot classification
Domain-wise knowledge decoupling for personalized federated learning via Radon transform
Zero-Shot 3D Pose Estimation of Unseen Object by Two-step RGB-D Fusion
Biomarker discovery for toxicity
Learning mid-perpendicular hyperplane similarity from cannot-link constraints
Passivity analysis of impulsive coupled reaction-diffusion neural networks with and without time-varying delay
An effective compression algorithm for real-time transmission data using predictive coding with mixed models of LSTM and XGBoost
Gaussian process classification for variable fidelity data
Representation learning via serial autoencoders for domain adaptation
Noise-tolerant neural algorithm for online solving time-varying full-rank matrix Moore-Penrose inverse problems: A control-theoretic approach
Sparse autoencoder for social image understanding
Big data analytics enabled by feature extraction based on partial independence
Non-typical multistability in neural networks with distributed delays
Node classification based graph classification with latent sample graph generation and dense graph optimization
Efficient design of neural network tree using a new splitting criterion
Some notes on neural learning algorithm benchmarking
State estimation for a class of artificial neural networks subject to mixed attacks: A set-membership method
A new feature selection method based on importance measures for crude oil return forecasting
Fisher information and optimal odor sensors
Sparse random projection for χ 2 kernel linearization: Algorithm and applications to image classification
Minimum mean square estimation and neural networks
GID: Global information distillation for medical semantic segmentation
Accurate fuzzy predictive models through complexity reduction based on decision of needed fuzzy rules
Analysis and pinning control for passivity of coupled reaction-diffusion neural networks with nonlinear coupling
Robust image watermarking approach using polar harmonic transforms based geometric correction
Prescribed performance safe optimal tracking control for nonlinear systems subject to dynamic obstacles via NN-based adaptive dynamic programming
Gait recognition method for arbitrary straight walking paths using appearance conversion machine
Improving classification of epileptic and non-epileptic EEG events by feature selection
A novel automatic fuzzy clustering algorithm based on soft partition and membership information
Multi-level photo quality assessment with multi-view features
Deep CNN based Image Compression with Redundancy Minimization via Attention Guidance
Domain adaptation for complex shadow removal with shadow transformer network
Fixed-time Lyapunov criteria of stochastic impulsive time-delay systems and its application to synchronization of Chua's circuit networks
Joint contrastive learning of structural and semantic for graph collaborative filtering
A level set method with shape priors by using locality preserving projections
VG-CALF: A vision-guided cross-attention and late-fusion network for radiology images in Medical Visual Question Answering
Combing modified Grabcut, K-means clustering and sparse representation classification for weed recognition in wheat field
Comparison of CaMKinase II activation in a dendritic spine computed with deterministic and stochastic models of the NMDA synaptic conductance
An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising
Leakage delay-dependent stability analysis for complex-valued neural networks with discrete and distributed time-varying delays
Encoding symbolic features in simple decision systems over ontological graphs for PSO and neural network based classifiers
Probabilistic skyline queries on uncertain time series
Clip4Vis: Parameter-free fusion for multimodal video recognition
Partial functional linear quantile regression for neuroimaging data analysis
Multivariate time series data imputation using attention-based mechanism
3D separable convolutional neural network for dynamic hand gesture recognition
Shape matching in multimodal medical images using point landmarks with Hopfield net
An adaptive oscillatory neural architecture for controlling behavior based robotic systems
Data classification using hybrid GrayART network
Sparse representations based attribute learning for flower classification
Learning from multiple dynamic graphs of student and course interactions for student grade predictions
New results on exponential synchronization of memristor-based chaotic neural networks
Spatiotemporal dynamics in a model of turtle visual cortex
Integrating a differential evolution feature weighting scheme into prototype generation
Class-aware sample reweighting optimal transport for multi-source domain adaptation
Activation functions in deep learning: A comprehensive survey and benchmark
Comparison of base classifiers for multi-label learning
Leader-following consensus of multi-agent system with a smart leader
Synchronization of linearly coupled neural networks with reaction-diffusion terms and unbounded time delays
Interactions between two neural populations: A mechanism of chaos and oscillation in neural mass model
Self-organization of hierarchical visual maps with feedback connections
Imputations of missing values using a tracking-removed autoencoder trained with incomplete data
A novel target detection method for SAR images based on shadow proposal and saliency analysis
A conditional one-output likelihood formulation for multitask Gaussian processes
Lightweight single image super-resolution with attentive residual refinement network
Trapezoidal type-2 fuzzy inference system with tensor unfolding structure learning method
GraphMorph: Equilibrium adjustment regularized dual-stream GCN for 4D-CT lung imaging with sliding motion
Quantum annealing for Dirichlet process mixture models with applications to network clustering
Learning the structure of Bayesian Networks via the bootstrap
Iterative projection based sparse reconstruction for face recognition
ReciprocalLA-LLIE: Low-light image enhancement with luminance-aware reciprocal diffusion process
Evading text based emotion detection mechanism via adversarial attacks
Almost periodic solutions for quaternion-valued neural networks with mixed delays on time scales
Port throughput forecasting by MARS-RSVR with chaotic simulated annealing particle swarm optimization algorithm
ST-CML: A contrastive meta learning framework for spatio-temporal graph few-shot learning with cross-city transfer
A prefronto-parietal network model with feedforward and feedback connections
Incorporation of radius-info can be simple with SimpleMKL
Boosting with pairwise constraints
Volatility forecasting from multiscale and high-dimensional market data
k -Reciprocal nearest neighbors algorithm for one-class collaborative filtering
Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion
DESReg: Dynamic Ensemble Selection library for Regression tasks
DRFormer: Learning dual relations using Transformer for pedestrian attribute recognition
Relphormer: Relational Graph Transformer for Knowledge Graph Representations
Fuzzy adaptive state-feedback fault-tolerant control for switched stochastic nonlinear systems with faults
Conceptual collaborative filtering recommendation: A probabilistic learning approach
Heterogeneous SPCNN and its application in image segmentation
Matrix completion and vector completion via robust subspace learning
Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial-temporal regularizations
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems
DDCT-UniSegNet: A unified framework for deepfake temporal segmentation
RoLoD: Robust local descriptors for computer vision
Composite components-based face sketch recognition
Online imbalance learning with unpredictable feature evolution and label scarcity
Training RBF networks with selective backpropagation
Time series prediction of the CATS benchmark using Fourier bandpass filters and competitive associative nets
Adaptive feature descriptor selection based on a multi-table reinforcement learning strategy
Stochastic stability for uncertain genetic regulatory networks with interval time-varying delays
An attribute extending method to improve learning performance for small datasets
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging
Efficient learning in spiking neural networks
The relation between V1 neuronal responses and eye movement-like stimulus presentations
Dynamic batch size tuning based on stopping criterion for neural network training
Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol
Exponential stability of impulsive discrete-time stochastic BAM neural networks with time-varying delay
Tensor-Train networks for learning predictive modeling of multidimensional data
A deadlock-free physical mapping method on the many-core neural network chip
Disentanglement with factor quantized variational autoencoders
Long-tailed learning for generalized category discovery
Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity
Finite-horizon optimal control of unknown nonlinear time-delay systems
H ∞ control with constrained input for completely unknown nonlinear systems using data-driven reinforcement learning method
Robust H ∞ load frequency control of delayed multi-area power system with stochastic disturbances
A sparse-representation-based robust inspection system for hidden defects classification in casting components
Rough sets for enhancements of local subspace classifier
Noise-robust semi-supervised clustering learning framework considering weighted consensus and pairwise similarities
Adaptively forget with crossmodal and textual distillation for class-incremental video captioning
Spiking neural network analysis of MT-MST pathways in biological motion processing
Improving learning by using artificial hints
Fine-grained few shot learning with foreground object transformation
EPAM-Net: An efficient pose-driven attention-guided multimodal network for video action recognition
Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm
Attacking all tasks at once using adversarial examples in multi-task learning
Asymptotic and robust stability of genetic regulatory networks with time-varying delays
Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms
A selective Bayes classifier with meta-heuristics for incomplete data
Enhancing unsupervised unified anomaly detection via semi-supervised learning with multi-source uncertainty mining
LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model
Generalized Outlier Exposure: Towards a trustworthy out-of-distribution detector without sacrificing accuracy
Research on realizing the 3D occlusion tracking location method of fish's school target
Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning
Refined video segmentation through global appearance regression
QT-TextSR: Enhancing scene text image super-resolution via efficient interaction with text recognition using a Query-aware Transformer
Efficient CUR decomposition for interpretable low-rank approximations and imaging applications
Multi-granularity knowledge embedding for multi-label herbal medicine recognition
Decouple and Rebalance: Towards effective joint learning for EEG-fNIRS integration
Map wisely for efficient transfer learning across heterogeneous data sources
A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signals
A structured multi-feature representation for recognizing human action and interaction
SCARF: Key-efficient homomorphic inference via composed rotations and structured convolutions
Deep learning in news recommender systems: A comprehensive survey, challenges and future trends
Towards faster seeding for k-means++ via lower bound and triangle inequality
Neural-network-based adaptive optimal tracking control scheme for discrete-time nonlinear systems with approximation errors
Special issue on "Bioinspired intelligence for machine learning"
Robust adaptive fuzzy output feedback control for stochastic nonlinear systems with unknown control direction
Multi-label classification using stacked spectral kernel discriminant analysis
Spiking neural P systems with neuron permeability
H ∞ state estimation for artificial neural networks over redundant channels
Decentralized adaptive neural two-bit-triggered control for nonstrict-feedback nonlinear systems with actuator failures
BoostSF-SHAP: Gradient boosting-based software for protein-ligand binding affinity prediction with explanations
Soft++, a multi-parametric non-saturating non-linearity that improves convergence in deep neural architectures
Delving deep into pixelized face recovery and defense
Gait recognition via GEI subspace projections and collaborative representation classification
Rank-two residue iteration method for nonnegative matrix factorization
TE-Spikformer:Temporal-enhanced spiking neural network with transformer
Global mean square exponential stability of stochastic neural networks with retarded and advanced argument
Delay-dependent stability for neural networks with time-varying delays via a novel partitioning method
A multi-scale supervised orientational invariant neural architecture for natural texture classification
Support vector machine classification for large data sets via minimum enclosing ball clustering
Muti-stage learning for gender and age prediction
A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data
A lightweight human pose estimation model based on nonlinear spiking neural convolution model
An online sequential learning algorithm for regularized Extreme Learning Machine
MRMNet: Multi-scale residual multi-branch neural network for object detection
Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach
A multiscale intrusion detection system based on pyramid depthwise separable convolution neural network
Deep face recognition: A survey
Semantic-aware short path adversarial training for cross-domain semantic segmentation
Adaptive neural dynamic surface control for a class of uncertain nonlinear systems with disturbances
A general method for mode decomposition on additive mixture: Generalized Variational Mode Decomposition and its sequentialization
A classification method for multiple power quality disturbances using EWT based adaptive filtering and multiclass SVM
Outlier-robust extreme learning machine for regression problems
Big learning in social media analytics
A model of temporal and activity-dependent mechanisms underlying the phylogenetic development of cerebellar molecular interneuron morphology
Learning graph attention-aware knowledge graph embedding
Modeling binocular competition through Hebbian plasticity and constrained connectivity
Computational simulation of dentate gyrus granule cell - The role of metaplasticity
Learning locomotion skills in evolvable robots
Particle swarm optimization for prototype reduction
Existence of periodic solutions for a class of Cohen-Grossberg type neural networks with neutral delays
Neural network models in greenhouse air temperature prediction
A neural mechanism of feature binding based on the dynamical map theory in distributed coding scheme
Image reconstruction from random samples using multiscale regression framework
Image completion using structure and texture GAN network
Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation
OpenNAS: Open Source Neuromorphic Auditory Sensor HDL code generator for FPGA implementations
A neural network model for encoding and perception of vowel sounds
Discrete-time optimal adaptive RBFNN control for robot manipulators with uncertain dynamics
All optical XOR logic gate formed by unsupervised optical neuron networks
Strategies for time series forecasting with generalized regression neural networks
Neural network-based adaptive prescribed-time bipartite flocking for uncertain networked multi-agent systems
SOL: A library for scalable online learning algorithms
Exploring firms' innovation capabilities through learning systems
Group feature selection with multiclass support vector machine
Improved recurrent neural networks for solving Moore-Penrose inverse of real-time full-rank matrix
A NARX neural network model for enhancing cardiovascular rehabilitation therapies
Synchronization of complex switched networks with two types of delays
Learning Bayesian network structures under incremental construction curricula
A simulator for the analysis of neuronal ensemble activity: application to reaching tasks
Adaptive feature alignment network with noise suppression for cross-domain object detection
Adaptive kernel regression and probabilistic self-organizing maps for JPEG image deblocking
Existence and global asymptotic stability of periodic solution for discrete and distributed time-varying delayed neural networks with discontinuous activations
Learning and generalization characteristics of the random vector Functional-link net
Removal of EOG and EMG artifacts from EEG using combination of functional link neural network and adaptive neural fuzzy inference system
A density-based similarity matrix construction for spectral clustering
A Fast Deep AutoEncoder for high-dimensional and sparse matrices in recommender systems
An analysis of smartphone overuse recognition in terms of emotions using brainwaves and deep learning
Improving text classification with weighted word embeddings via a multi-channel TextCNN model
Patient-specific ECG classification by deeper CNN from generic to dedicated
Impact of fully connected layers on performance of convolutional neural networks for image classification
Classifier ensembles for image identification using multi-objective Pareto features
Stability analysis of inertial Cohen-Grossberg neural networks with Markovian jumping parameters
Neurally plausible, non-combinatorial iterative independent process analysis
PRGNN: Modeling high-order proximity with relational graph neural network for knowledge graph completion
Deep learning based QoE evaluation for internet video
A modified gradient learning algorithm with smoothing L 1/2 regularization for Takagi-Sugeno fuzzy models
Enhancing long-term memory in federated class continual learning with lightweight adapters
Stable robust adaptive radial basis emotional neurocontrol for a class of uncertain nonlinear systems
Urban traffic flow forecasting using Gauss-SVR with cat mapping, cloud model and PSO hybrid algorithm
Diverse object placement with dual interaction
Emotion recognition systems with electrodermal activity: From affective science to affective computing
An augmented delays-dependent region partitioning approach for recurrent neural networks with multiple time-varying delays
Improving image similarity estimation via global distance distribution information
Orthogonal multi-view tensor-based learning for clustering
Food det: Detecting foods in refrigerator with supervised transformer network
Clustering in applications with multiple data sources - A mutual subspace clustering approach
Dimensionality reduction based on non-parametric mutual information
Advanced artificial neural network classification for detecting preterm births using EHG records
Sub-intrapersonal space analysis for face recognition
Progressive network based on detail scaling and texture extraction: A more general framework for image deraining
Learning deep representations via extreme learning machines
σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions
GPPT: Graph pyramid pooling transformer for visual scene
Adaptive fault diagnosis of HVCBs based on P-SVDD and P-KFCM
Li-Yorke chaos generation by SICNNs with chaotic/almost periodic postsynaptic currents
H ∞ state estimation for discrete-time neural networks with interval time-varying delays and probabilistic diverging disturbances
Saliency generation from complex scene via digraph and Bayesian inference
Modeling auditory cortical processing as an adaptive chirplet transform
Open set domain adaptation via unknown construction and dynamic threshold estimation
Particle filtering approach to membership function adjustment in fuzzy logic systems
Group sparse feature selection on local learning based clustering
Ultra-dense GAN for satellite imagery super-resolution
Plant species recognition methods using leaf image: Overview
On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation
Finite sample size and neural model uncertainty
Exponential stability of periodic solution to Cohen-Grossberg-type BAM networks with time-varying delays
The design of neuro-fuzzy networks using particle swarm optimization and recursive singular value decomposition
Power system static state estimation using a least winsorized square robust estimator