yusuke1997/dblp-id-title huggingface dataset:
A model of three-way approximation of intuitionistic fuzzy sets
Online visual tracking via background-aware Siamese networks
A universal emotion recognition method based on feature priority evaluation and classifier reinforcement
Concentrated hashing with neighborhood embedding for image retrieval and classification
Statistical learning with group invariance: problem, method and consistency
Parameters optimization of polygonal fuzzy neural networks based on GA-BP hybrid algorithm
A bibliometric overview of International Journal of Machine Learning and Cybernetics between 2010 and 2017
Fast randomized algorithm with restart strategy for minimal test cost feature selection
CSHE: network pruning by using cluster similarity and matrix eigenvalues
A reinforced fuzzy ARTMAP model for data classification
Weakly supervised multi-label feature selection based on shared subspace
Selective multi-descriptor fusion for face identification
Interactive goal programming algorithm with Taylor series and interval type 2 fuzzy numbers
A systematic review of the research trends of machine learning in supply chain management
Range-variable dynamic convolution and dual attention-guided efficient medical image segmentation network
Visual reasoning for discoveries
Bifurcation control in the delayed fractional competitive web-site model with incommensurate-order
Additive and multiplicative mixed normal distributions and finding cluster centers
Multi-strategy improvement of crayfish optimization algorithm to solve high-dimensional feature selection
Stacking multi-timescale graph attention network and bidirectional gated recurrent units for traffic flow prediction
Parameter selection algorithm with self adaptive growing neural network classifier for diagnosis issues
2D-THA-ADMM: communication efficient distributed ADMM algorithm framework based on two-dimensional torus hierarchical AllReduce
An enhanced Mayfly optimization algorithm based on orthogonal learning and chaotic exploitation strategy
Unsupervised image clustering algorithm based on contrastive learning and K-nearest neighbors
The mean shift method of chaotic sequences in the study of compressive sensing
Pattern learning for scheduling microservice workflow to cloud containers
A discriminant binarization transform using genetic algorithm and error-correcting output code for face template protection
Improving multi-hop question answering with prompting explicit and implicit knowledge aligned human reading comprehension
Gait coordination feature modeling and multi-scale gait representation for gait recognition
Adversarial feature augmentation via transformer-level feature fusion for imbalanced data classification
Multi-view low rank sparse representation method for three-way clustering
Multi-view data clustering via non-negative matrix factorization with manifold regularization
A finger-vein recognition method based on double-weighted group sparse representation classification
An accelerated optimization algorithm for the elastic-net extreme learning machine
Reinforcement learning-based friction compensation of an inverted pendulum on a cart
Sensitivity based image filtering for multi-hashing in large scale image retrieval problems
Channel spatio-temporal convolutional network for pedestrian trajectory prediction
LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning
Drfnet: dual stream recurrent feature sharing network for video dehazing
Online neural network model for non-stationary and imbalanced data stream classification
Knowledge transfer based hierarchical few-shot learning via tree-structured knowledge graph
LSTM-assisted evolutionary self-expressive subspace clustering
Topological approaches to generalized definitions of rough multiset approximations
EM-type method for measuring graph dissimilarity
Method for generating decision implication canonical basis based on true premises
Spam analysis of big reviews dataset using Fuzzy Ranking Evaluation Algorithm and Hadoop
Online sequential fuzzy dropout extreme learning machine compensate for sliding-mode control system errors of uncertain robot manipulator
Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks
Ensemble learning on visual and textual data for social image emotion classification
Function P-sets
SGSA-C: a new spiky gravitational search algorithm clustering method for segmentation
ExBCIL: an exemplar-based class incremental learning for intrusion detection system
Domain adaptation with optimized feature distribution for streamer action recognition in live video
A two-stage optimized robust kernel density estimation for Bayesian classification with outliers
Dense crowd counting based on adaptive scene division
Joint features-guided linear transformer and CNN for efficient image super-resolution
Vortex search optimization algorithm for training of feed-forward neural network
Discrete convolutional CRF networks for depth estimation from monocular infrared images
A new compatibility model for fuzzy group decision making by using trapezoidal fuzzy preference relations with COWA operator
Toward better prediction of recurrence for Cushing's disease: a factorization-machine based neural approach
Optimal trajectory planning for the herding problem: a continuous time model
L -fuzzy concept analysis for three-way decisions: basic definitions and fuzzy inference mechanisms
Lead-cnn: lightweight enhanced dimension reduction convolutional neural network for brain tumor classification
Global stability analysis of delayed complex-valued fractional-order coupled neural networks with nodes of different dimensions
A method for continuous student activity recognition from classroom videos
An auto-adaptive convex map generating path-finding algorithm: Genetic Convex A *
Deepvoc: a linked open vocabulary for reproducible and reliable deep learning experiments
Optimal subspace classification method for complex data
Retailer's optimal strategy for fixed lifetime products
Multi-level interval-valued fuzzy concept lattices and their attribute reduction
Reconstruction of surgical instruments in virtual surgery system
A new privacy-preserving proximal support vector machine for classification of vertically partitioned data
Conv-PVT: a fusion architecture of convolution and pyramid vision transformer
Robust exponential stability analysis for interval Cohen-Grossberg type BAM neural networks with mixed time delays
Enhancing the management of shared inventory in the steel industry using RFID: an alternative to bar codes
Enhancing ocular diseases recognition with domain adaptive framework: leveraging domain confusion
Determining appropriate approaches for using data in feature selection
Attribute reduction in formal decision contexts and its application to finite topological spaces
Deep question generation model based on dual attention guidance
Regularized partial least squares for multi-label learning
Extended random forest for multivariate air quality forecasting
FADSiamNet: feature affinity drift siamese network for RGB-T target tracking
Ordinal regression with continuous pairwise preferences
Parameter optimization of multi-pass turning using chaotic PSO
L-fuzzy covering rough sets based on complete co-residuated lattice
Enhancing early attack detection: novel hybrid density-based isolation forest for improved anomaly detection
Optimal selection of components value for analog active filter design using simplex particle swarm optimization
On the matroidal structure of generalized rough set based on relation via definable sets
Methods for virtual machine scheduling with uncertain execution times in cloud computing
An active unseen sample selection framework for generalized zero-shot classification
SCC-rFMQ: a multiagent reinforcement learning method in cooperative Markov games with continuous actions
Contrastive sequential interaction network learning on co-evolving Riemannian spaces
Enhanced feature Fusion structure of YOLO v5 for detecting small defects on metal surfaces
An efficient planning method based on deep reinforcement learning with hybrid actions for autonomous driving on highway
Attribute reduction and rule acquisition of formal decision context based on object (property) oriented concept lattices
GCAM: lightweight image inpainting via group convolution and attention mechanism
Adaptive probability scheme for behaviour monitoring of the elderly using a specialised ambient device
Incomplete multi-view clustering via attention-based contrast learning
Three-way decisions model based on tolerance rough fuzzy set
One-step graph-based multi-view clustering via specific and unified nonnegative embeddings
ConDA: state-based data augmentation for context-dependent text-to-SQL
A framework for imprecise robust one-class classification models
Properties of two types of covering-based rough sets
An incremental approach to feature selection using the weighted dominance-based neighborhood rough sets
Learning dynamic and multi-scale graph structure for traffic demand prediction
Secondary basis unique augmentation matroids and union minimal matroids
Tfgcn: a time-varying fuzzy graph convolutional network for multi-sensor traffic flow forecasting
A recommender system to address the Cold Start problem for App usage prediction
Segmentation of the left ventricle in cardiac MRI using a hierarchical extreme learning machine model
Remote assessment of Parkinson's disease symptom severity based on group interaction feature assistance
A multi-stage fusion instance learning method for anomalous event detection in videos
Modeling, simulation and design optimization of a hoisting rig active heave compensation system
IBBA: an improved binary bat algorithm for solving low and high-dimensional feature selection problems
Joint sparse representation and locality preserving projection for feature extraction
Learning to share by masking the non-shared for multi-domain sentiment classification
A static video summarization approach via block-based self-motivated visual attention scoring mechanism
Optimizing ranking for response prediction via triplet-wise learning from historical feedback
Gujrati character recognition using weighted k -NN and Mean χ 2 distance measure
Attribute reduction in decision formal context based on homomorphism
Cfdc: a fast zero-shot classifier framework based on CLIP and diffusion models
Deep reinforcement learning based home energy management system with devices operational dependencies
A term correlation based semi-supervised microblog clustering with dual constraints
An uncertain multi-objective programming model for machine scheduling problem
An evolution strategy based approach for cover scheduling problem in wireless sensor networks
Optimal decision of multi-inconsistent information systems based on information fusion
DBHC: Discrete Bayesian HMM Clustering
A self-adaptive preference model based on dynamic feature analysis for interactive portfolio optimization
Information geometry enhanced fuzzy deep belief networks for sentiment classification
Weighted fuzzy soft multiset and decision-making
Optimal power flow using hybrid differential evolution and harmony search algorithm
Study on an effective cross-stimulus emotion recognition model using EEGs based on feature selection and support vector machine
Triple-I FMP algorithm for double hierarchical fuzzy system based on manifold learning
On the characterization of fuzzy rough sets based on a pair of implications
Multi-view clustering based on view-attention driven
Synchronization for memristive chaotic neural networks using Wirtinger-based multiple integral inequality
Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction
CausalFD: causal invariance-based fraud detection against camouflaged preference
A hybrid diversited attribute group decision-making method based on non-additive measure entropy weight and multi-granularity generalized fuzzy rough set with application in medical diagnosis
Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach
Neighbor-enhanced graph transition network for session-based recommendation
Local receptive field based extreme learning machine with three channels for histopathological image classification
SVD based fragile watermarking scheme for tamper localization and self-recovery
Text semantic matching algorithm based on the introduction of external knowledge under contrastive learning
Using single axioms to characterize L -rough approximate operators with respect to various types of L -relations
Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification
An efficient gesture based humanoid learning using wavelet descriptor and MFCC techniques
Breast cancer detection based on Gabor-wavelet transform and machine learning methods
Federated learning-guided intrusion detection and neural key exchange for safeguarding patient data on the internet of medical things
A lazy learning-based language identification from speech using MFCC-2 features
Pragmatic inference and mapping for conversational implicature
Large symmetric margin instance selection algorithm
RADCU-Net: residual attention and dual-supervision cascaded U-Net for retinal blood vessel segmentation
Lightweight single image super-resolution based on multi-path progressive feature fusion and attention mechanism
Pruning Elman neural network and its application in bolt defects classification
LeDoFAN: enhancing lengthy document fake news identification leveraging large language models and explainable window-based transformers with n-gram expulsion
A production inventory model with fuzzy coefficients using parametric geometric programming approach
Attention-driven frequency-based Zero-Shot Learning with phase augmentation
Improved local-feature-based few-shot learning with Sinkhorn metrics
Identifying implicit emotions via hierarchical structure and rhetorical correlation
MSSTN: a multi-scale spatio-temporal network for traffic flow prediction
An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients
Position stabilisation and lag reduction with Gaussian processes in sensor fusion system for user performance improvement
Multiple rank multi-linear kernel support vector machine for matrix data classification
Using AI to decode the behavioral responses of an insect to chemical stimuli: towards machine-animal computational technologies
Label-dependent feature exploration for label distribution learning
Adversarial de-overlapping learning machines for supervised and semi-supervised learning
Graph-based label propagation algorithm for community detection
Research on multi-objective linear programming problem with fuzzy coefficients in constraints
Collaborative optimization of spatial-spectrum parallel convolutional network (CO-PCN) for hyperspectral image classification
Framelet-based dual hypergraph neural networks for student performance prediction
Covering-based variable precision L-fuzzy rough sets based on residuated lattices and corresponding applications
Topic-aware hierarchical multi-attention network for text classification
v -soft margin multi-task learning logistic regression
A faster tensor robust PCA via tensor factorization
Hierarchical high-order co-clustering algorithm by maximizing modularity
Concept reduction in formal concept analysis based on representative concept matrix
Adaptive locally connected recurrent unit (ALCRU)
A new estimate of mutual information based measure of dependence between two variables: properties and fast implementation
High-low frequency features fusion and integrated classification SCNs for intelligent fault diagnosis of rolling bearing
Deep learning for time series forecasting: a survey
Label graph augmented soft cascade decoding model for overlapping event extraction
An efficient design of CMOS comparator and folded cascode op-amp circuits using particle swarm optimization with an aging leader and challengers algorithm
Adversarial attacks and adversarial robustness in pre-trained deep learning models for disease diagnosis
SiamATA: an asymmetric target-aware and frequency domain task-aware Siamese network for visual tracking
Constrained class-wise feature selection (CCFS)
A new belief entropy measure in the weighted combination rule under DST with faulty diagnosis and real-life medical application
A fine-grained convolutional recurrent model for obstructive sleep apnea detection
A framework for interpreting, modeling and recognizing human body gestures through 3D eigenpostures
The neutrosophic number generalized weighted power averaging operator and its application in multiple attribute group decision making
Attributes reduction and rules acquisition in an lattice-valued information system with fuzzy decision
A decision-making model with similarity measurement for case selection in public health treatment
Complex network analysis of three-way decision researches
Homo-ELM: fully homomorphic extreme learning machine
Automatic pipeline for information of curve graphs in papers based on deep learning
Automatic Indic script identification from handwritten documents: page, block, line and word-level approach
Innovative feature extraction and selection for wireless sensor networks: enhancing cybersecurity and data transmission using WKPCA-SVD and RWS-ARO algorithms
Self information-based feature selection for label distribution learning
Multi-scale feature dense connection fusion with hybrid attention mechanism in crack segmentation
Clustering ensemble method
Btda: basis transformation based distribution alignment for imbalanced semi-supervised learning
Knowledge fusion guided pre-training non-intrusive load sparse sample recognition
Predicting overnights in smart villages: the importance of context information
Fully-connected LSTM-CRF on medical concept extraction
Double-quantitative multigranulation decision-theoretic rough fuzzy set model
Optimal scale combination selection for multi-scale decision tables based on three-way decision
Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems
Knowledge transfer enabled reinforcement learning for efficient and safe autonomous ship collision avoidance
Variable precision intuitionistic fuzzy rough sets model and its application
Enhancing multi-label disease diagnosis through hypergraph clustering and multi-classification label entropy
MGRL: attributed multiplex heterogeneous network representation learning based on multi-granularity information fusion
A Gaussian mixture model based combined resampling algorithm for classification of imbalanced credit data sets
Dynamic networks link prediction based on continuous gated recurrent graph convolution
A deep reinforcement learning control method guided by RBF-ARX pseudo LQR
A robust multilayer extreme learning machine using kernel risk-sensitive loss criterion
Advancing bankruptcy prediction: a study on an improved rime optimization algorithm and its application in feature selection
Simultaneous clustering and feature selection via nonparametric Pitman-Yor process mixture models
Face sketch-photo recognition using local gradient checksum: LGCS
Image blending-based noise synthesis and attention-guided network for single image marine snow denoising
Image-set based face recognition using K-SVD dictionary learning
Separating theorem of samples in Banach space for support vector machine learning
Rotation Forest for multi-target regression
ECG arrhythmia classification based on variational mode decomposition, Shannon energy envelope and deterministic learning
An adaptive weighted self-representation method for incomplete multi-view clustering
Generalized competitive agglomeration clustering algorithm
A hybrid dimensionality reduction method for outlier detection in high-dimensional data
Classifying imbalanced data using ensemble of reduced kernelized weighted extreme learning machine
New approach to MCDM under interval-valued intuitionistic fuzzy environment
An algorithm selection based platform for image understanding using high-level symbolic feedback and machine learning
SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays
Face sketch recognition using sketching with words
Optimal airport selection utilizing power Muirhead mean based group decision model with 2-tuple linguistic q-rung orthopair fuzzy information
Constructing and learning heterogeneous patient graph representations from structured electronic medical records
A Hybrid Differential Artificial Bee Colony Algorithm based tuning of fractional order controller for Permanent Magnet Synchronous Motor drive
Brain-inspired learning to deeper inductive reasoning for video captioning
Semi-supervised attribute reduction via attribute indiscernibility
Lightweight skeleton-based action recognition model based on global-local feature extraction and fusion
Crayfish optimization-based secure encryption of medical images with 7D hyperchaotic maps
Relation-attention semantic-correlative knowledge graph embedding for inductive link prediction
Feature extraction and hybrid DNN-QDCNN for skin cancer detection
Automatic extraction of named entities of cyber threats using a deep Bi-LSTM-CRF network
A k-nearest neighbor attentive deep autoregressive network for electricity consumption prediction
New results of stability analysis for a class of neutral-type neural network with mixed time delays
Enhancing gene expression clustering analysis using tangent transformation
Consistency measure of the WH-PLPR under the risk identification of PPP projects
DEP-TSP meta : a multiple criteria Dynamic Ensemble Pruning technique ad-hoc for time series prediction
Sample-based online learning for bi-regular hinge loss
Learning to capture contrast in sarcasm with contextual dual-view attention network
Discrete matrix factorization hashing for cross-modal retrieval
A discernibility matrix for the topological reduction
F-WSS \(^{++}\) : incremental wrapper subset selection algorithm for fuzzy extreme learning machine
CorrNet: pearson correlation based pruning for efficient convolutional neural networks
Modeling and intelligent optimization of social collective behavior with online public opinion synchronization
Efficient structured \(\ell 1\) tracker based on laplacian error distribution
Adversarial Examples Detection with Chaos-Based Multivariate Features
A novel feature selection method using generalized inverted Dirichlet-based HMMs for image categorization
Improved sparse LSSVMS based on the localized generalization error model
Name identification and extraction with formal concept analysis
A multi-level fusion-based framework for multimodal fake news classification using semantic feature extraction
Efficiently detecting overlapping communities using seeding and semi-supervised learning
Characterizations of rough finite state automata
A survey of 5G network systems: challenges and machine learning approaches
Clustering data with partial background information
Multi-granular attributed network representation learning
SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving
Entropy based swarm intelligent searching for scheduling deadline constrained workflows in hybrid cloud
An effective Bayesian network parameters learning algorithm for autonomous mission decision-making under scarce data
Correction to: Building heterogeneous ensembles by pooling homogeneous ensembles
A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty
Local mean representation based classifier and its applications for data classification
Autoencoder evolutionary algorithm for large-scale multi-objective optimization problem
Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning
A fast iterative algorithm for support vector data description
Least squares recursive projection twin support vector machine for multi-class classification
Handwritten Bangla character and numeral recognition using convolutional neural network for low-memory GPU