yusuke1997/dblp-id-title huggingface dataset:
A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease
An Adversarial sample defense method based on multi-scale GAN
Enhancing extended belief rule-based systems for classification problems using decomposition strategy and overlap function
Scheduling method with adaptive learning for microservice workflows with hybrid resource provisioning
Adaptive affinity matrix learning for dimensionality reduction
The structure and realization of a polygonal fuzzy neural network
Discovery of bidirectional contiguous column coherent bicluster in time-series gene expression data
Etc-Net: a space-adaptive swin transformer-based method for underwater image enhancement integrating edge sharpening and color correction
Imbalanced driving scene recognition with class focal loss and data augmentation
An interpretable neural network TV program recommendation based on SHAP
RePGAN: image inpainting via residual partial connection and mask discriminator
Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm
DenseExudatesNet: a novel approach for hard exudates detection in retinal images using deep learning
Bayesian Citation-KNN with distance weighting
Some novel distance and similarity measures for probabilistic dual hesitant fuzzy sets and their applications to MAGDM
Target-oriented multimodal sentiment classification by using topic model and gating mechanism
Constrained multimodal multi-objective optimization based on cooperative evolution and neural network
Self-paced hierarchical metric learning (SPHML)
Dynamic graph-based attribute reduction approach with fuzzy rough sets
Multi-target regression via stochastic configuration networks with modular stacked structure
Optimized trajectory planning for the time efficient navigation of mobile robot in constrained environment
Os-elm based storage strategy for efficient query in blockchain database
Statistical binary patterns and post-competitive representation for pattern recognition
A stochastic recursive gradient algorithm with inertial extrapolation for non-convex problems and machine learning
A memetic-inspired harmony search method in optimal wind generator design
A context-aware semantic modeling framework for efficient image retrieval
Some intuitionistic trapezoidal fuzzy aggregation operators based on Einstein operations and their application in multiple attribute group decision making
Stochastic configuration broad learning system and its approximation capability analysis
Recent advances in multiple criteria decision making techniques
Incremental method of updating approximations in DRSA under variations of multiple objects
Temporal knowledge graph representation learning with temporal feature and complex evolution
Node embedding with capsule generation-embedding network
Attentive convolutional gated recurrent network: a contextual model to sentiment analysis
Joint resource allocation for emotional 5G IoT systems using deep reinforcement learning
Privacy preservation and fairness constraints for few-shot learning based on Lagrange duality
A hierarchical evolution of neural architecture search method based on state transition algorithm
The design and dynamic analysis of a novel 6-DOF parallel mechanism
Density peaks clustering using geodesic distances
Spectral co-clustering documents and words using fuzzy K-harmonic means
The improved learning rate for regularized regression with RKBSs
Backstepping control of MEMS gyroscope using adaptive neural observer
A reduced nonstationary discrete convolution kernel for multimode process monitoring
Integration of fuzzy DEMATEL and FMCDM approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome
Restricted overlay routing
Semantic similarity assessment of words using weighted WordNet
A novel adaptive methodology for removing spurious components in a modified incremental Gaussian mixture model
A multi-level attention long short-term memory neural network based on rival rise algorithm for traffic volume prediction
Accelerating incremental attribute reduction algorithm by compacting a decision table
IECCK: integrating emotion cause and common knowledge for empathetic dialogue generation
Adaptive unsupervised feature selection with robust graph regularization
KRAFS-ANet: A novel framework for EEG-based stress classification using channel selection and optimized ensemble stacking
sEMG based hand gesture recognition with deformable convolutional network
PBSeq: Modeling base-level bias to estimate gene and isoform expression for RNA-seq data
A robust density peaks clustering algorithm using fuzzy neighborhood
A compactness based saliency approach for leakages detection in fluorescein angiogram
A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction
Structural entropy-based scheduler for job planning problems using multi-agent reinforcement learning
Teaching content recommendations in music appreciation courses via graph embedding learning
Asymmetric models of intuitionistic fuzzy rough sets and their applications in decision-making
Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs
Attributes set reduction in multigranulation approximation space of a multi-source decision information system
A novel BNMF-DNN based speech reconstruction method for speech quality evaluation under complex environments
Semi-supervised classification with privileged information
Face alignment combined with shape constraints and Gaussian heatmap
MS-NET-v2: modular selective network optimized by systematic generation of expert modules
Enhancing relative ratio method for MCDM via attitudinal distance measures of interval-valued hesitant fuzzy sets
Concept lattice compression in incomplete contexts based on K -medoids clustering
Clinical quantitative information recognition and entity-quantity association from Chinese electronic medical records
Global-local information based oversampling for multi-class imbalanced data
A novel data credibility-centric multi-model-based complex systems modeling approach for UAV capability evaluation
Laplacian regularized low-rank sparse representation transfer learning
Vision mechanism model using brain-computer interface for light sensing
Neural variational collaborative filtering with side information for top-K recommendation
A bipartite matching-based feature selection for multi-label learning
A robust and efficient image watermarking scheme based on Lagrangian SVR and lifting wavelet transform
Multi-scale pyramidal hash learning for traditional building facade image retrieval
Comparative analysis of CatBoost, LightGBM, XGBoost, RF, and DT methods optimised with PSO to estimate the number of k-barriers for intrusion detection in wireless sensor networks
Online music tracking with global alignment
Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare
Enhanced entity resolution and iInference mechanisms for document-level relation extraction
An empirical study to estimate the stability of random forest classifier on the hybrid features recommended by filter based feature selection technique
An improved deep network-based RGB-D semantic segmentation method for indoor scenes
Robust non-negative supervised low-rank discriminant embedding (NSLRDE) for feature extraction
Robust graph-based multi-view clustering in latent embedding space
Three-way recommendation for a node and a community on social networks
Predicting the dynamic behavior of a system with a neural state observer using nonlinear auto-regressive exogenous deep deterministic policy gradient: a case study on a washing machine
An improved dynamic discrete firefly algorithm for blind image steganalysis
Attribute reductions in object-oriented concept lattices
Unsupervised modeling and feature selection of sequential spherical data through nonparametric hidden Markov models
Neutrosophic multi-objective green four-dimensional fixed-charge transportation problem
MGPOOL: multi-granular graph pooling convolutional networks representation learning
Biomedical named entity recognition using generalized expectation criteria
RD-NMSVM: neural mapping support vector machine based on parameter regularization and knowledge distillation
Aluminum smelting temperature prediction using GCN with correlation aggregation strategy and LSTM with dynamic attention
Advancing automated street crime detection: a drone-based system integrating CNN models and enhanced feature selection techniques
PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud
Polychronicity tendency-based online behavioral signature
Dual-driven embedded feature selection method based on fuzzy decision consistency and classification reward mechanism
A novel feature learning framework for high-dimensional data classification
Fuzzy decision implication canonical basis
Multi-layered semantic representation network for multi-label image classification
A Dempster-Shafer theory based classifier combination for online Signature recognition and verification systems
Heterogeneous dual network with feature consistency for domain adaptation person re-identification
A new BAT optimization algorithm based feature selection method for electrocardiogram heartbeat classification using empirical wavelet transform and Fisher ratio
Density peaks clustering algorithm based on improved similarity and allocation strategy
Recognition of odor and pleasantness based on olfactory EEG combined with functional brain network model
A hybrid artificial bee colony algorithm for the cooperative maximum covering location problem
Multi-layered security architecture for IoMT systems: integrating dynamic key management, decentralized storage, and dependable intrusion detection framework
A novel aerospace target decision model considering will of commander based on probability transformation
Dynamic neural orthogonal mapping for fault detection
Bicrack: a bilateral network for real-time crack detection
Delay-dependent robust absolute stability of uncertain Lurie singular systems with neutral type and time-varying delays
Hypergraph based semi-supervised support vector machine for binary and multi-category classifications
Benchmarking algorithms for food localization and semantic segmentation
Attention Matching Network for few-shot learning in the syndrome differentiation of cerebral stroke
Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data
Low-rank optimization for efficient compression of CNN models
Multi-view subspace clustering using drop out technique on points
Selective relation-aware representations for person re-identification
Hesitant fuzzy psychological distance measure
A novel supervised learning algorithm for salt-and-pepper noise detection
Leveraging deep learning for automatic literature screening in intelligent bibliometrics
Gmad: multivariate time series anomaly detection based on graph matching learning
Multi-granulation-based knowledge discovery in incomplete generalized multi-scale decision systems
Contextual feature fusion and refinement network for camouflaged object detection
Identification of boundary shape using a hybrid approach
A literature review on deep learning algorithms for analysis of X-ray images
Maximal consistent block based optimal scale selection for incomplete multi-scale information systems
An exponent weighted algorithm for minimal cost feature selection
Periodic oscillatory behavior on a four-node neural network model with distributed delay
Scheduling for multi-stage applications with scalable virtual resources in cloud computing
Propagation tree says: dynamic evolution characteristics learning approach for rumor detection
A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models
Program synthesis algorithm based on context consistency heuristic
Multi-label feature selection via joint label enhancement and pairwise label correlations
Rough sets and topological spaces based on similarity
Target detection algorithm based on multilayer attention mechanism-adaptive feature fusion network
Fairness issues, current approaches, and challenges in machine learning models
A simple and efficient channel MLP on token for human pose estimation
Improving recommendation quality through outlier removal
Fault-tolerant control design for nonlinear multilateral teleoperation system with unreliable communication channels and actuator constraints
Binary multi-verse optimization algorithm for global optimization and discrete problems
A robust framework for face contour detection from clutter background
Uncertain programming model for multi-item solid transportation problem
Surface roughness prediction in end milling process using intelligent systems
Restricted subgradient descend method for sparse signal learning
Universal consistency of twin support vector machines
Exponential operational laws and new aggregation operators of intuitionistic Fuzzy information based on Archimedean T-conorm and T-norm
A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint
Approximation and its implementation process of the stochastic hybrid fuzzy system
Using single axioms to characterize ( S , T )-intuitionistic fuzzy rough approximation operators
A channel dependency decoupled two-stream model for multivariate time series analysis
Multi-center convolutional descriptor aggregation for image retrieval
Domain generalization by distribution estimation
Two-stage extreme learning machine for high-dimensional data
Recommendation model based on multi-grained interaction that fuses users' dynamic interests
Closed-set lattice of regular sets based on a serial and transitive relation through matroids
HFAN: High-Frequency Attention Network for hyperspectral image denoising
Neighborhood-aware entity alignment for temporal knowledge graph
Three-way k-means: integrating k-means and three-way decision
Consensus model based on probability K-means clustering algorithm for large scale group decision making
A hybrid approach to speed-up the k -means clustering method
A new finger-knuckle-print ROI extraction method based on probabilistic region growing algorithm
Efficient sub-window search with fixed shape sub-windows
Efficient handover in railway networking via named data
A novel classification algorithm based on kernelized fuzzy rough sets
Hesitant fuzzy linguistic rough set over two universes model and its applications
Hybrid ABC-ANN for pavement surface distress detection and classification
An artificial algae algorithm for solving binary optimization problems
Accelerated optimal scale selection in dynamic multi-scale set-valued decision tables
Multi-model fusion method for detecting the feeding behavior of sea bass
An intelligent generative adversarial network multistage lung cancer detection and subtypes classification
Improving the selection of differential evolution through a quartile-based ranked operator
Speed-up ellipse enclosing character detection approach for large-size document images by parallel scanning and Hough transform
MSACN-LSTM: A multivariate time series prediction hybrid network model for extracting spatial features at multiple time scales
HMNet: a hierarchical multi-modal network for educational video concept prediction
Non-Parametric Kernel Learning with robust pairwise constraints
Fault detection of railway freight cars mechanical components based on multi-feature fusion convolutional neural network
Learning from high-dimensional cyber-physical data streams: a case of large-scale smart grid
Label enhancement with label-specific feature learning
A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis
Dimension-divided feature smoothing for graph neural network
Stability investigation of multi-objective heuristic ensemble classifiers
A fuzzy system with common linear-term consequents equivalent to FLNN and GMM
Continual portfolio selection in dynamic environments via incremental reinforcement learning
Lossless compression for hyperspectral image using deep recurrent neural networks
L-fuzzy rough automaton: a mathematical model for natural languages
Multi-proposal collaboration and multi-task training for weakly-supervised video moment retrieval
FF-GLAM-cs: a fusion framework based on GLAM with channel shuffle for speech emotion recognition
Stochastic configuration networks for adaptive inverse dynamics modeling
Diffusion-based data augmentation methodology for improved performance in ocular disease diagnosis using retinography images
Image recoloring for multiple types of Color Vision Deficiency
Selection of data products: a hybrid AFSA-MABAC approach
Near-infrared fusion for deep lightness enhancement
Using search-based techniques for testing executable software models specified through graph transformations
Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model
Data-augmented robust multivariate anomaly detection for industrial cyber-physical systems with incomplete features
Multilayer discriminative extreme learning machine for classification
Human facial expression analysis based on image granule LPP
A tiny deep capsule network
Reward design in multi-agent systems using successor features and multi-information source bayesian optimization
A novel EEG-complexity-based feature and its application on the epileptic seizure detection
PaIaNet: position-aware and identification-aware network for low-light salient object detection
Hand gesture recognition using machine learning and infrared information: a systematic literature review
Facial semantic representation for ethnical Chinese minorities based on geometric similarity
NMEAS: Neuro-MaxEnt architecture search
Reconstruction of sparse signals via neurodynamic optimization
Robust two-phase registration method for three-dimensional point set under the Bayesian mixture framework
Deep generative clustering methods based on disentangled representations and augmented data
Self-paced latent embedding space learning for multi-view clustering
An efficiency-enhanced deep learning model for citywide crowd flows prediction
An improved multi-scale convolution and transformer network for EEG-based motor imagery decoding
Recurrent neural network for solving several novel sales models: Try-Before-You-Buy
Adaptive neural control for nonstrict-feedback time-delay systems with input and output constraints
Automatic optic disc detection using low-rank representation based semi-supervised extreme learning machine
SSGCN: a sampling sequential guided graph convolutional network
Domain adaptive attention-based dropout for one-shot person re-identification
A robust self-weighted SELO regression model
Semi-supervised attribute reduction for interval data based on misclassification cost
A novel consensus model with probabilistic linguistic preference relation for the utilization mode selection of renewable energy sources
A new robust contrastive learning for unsupervised person re-identification
Dynamic maintenance of variable precision fuzzy neighborhood three-way regions in interval-valued fuzzy decision system
Joint recognition for location and activity based on multidimensional features of CSI images
Efficient hierarchical policy network with fuzzy rules
Robust adaptive iterative learning control for nonrepetitive systems with iteration-varying parameters and initial state
Piecewise just-in-time data recovering and fault detection method for time-varying wind power generation process with missing data
Improving offline handwritten Chinese text recognition with glyph-semanteme fusion embedding
Improving the estimation of distribution algorithm with a differential mutation for multilevel thresholding image segmentation
Unsupervised video object segmentation: an affinity and edge learning approach
Unsupervised person re-identification via K-reciprocal encoding and style transfer
Hybrid gradient boosting models for concrete compressive strength classification and prediction
Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning
Dynamic updating multigranulation fuzzy rough set: approximations and reducts
Permutation driven evolutionary ordering with dependency filtering for multi-label classification
Semantic-enhanced relation modeling for fine-grained aspect-based sentiment analysis
Rule number and approximation of the hybrid fuzzy system based on binary tree hierarchy
Category-preserving binary feature learning and binary codebook learning for finger vein recognition
Learning to optimise general TSP instances
A new multi-period optimization model for resilient-sustainable project portfolio evaluation under interval-valued Pythagorean fuzzy sets with a case study
A comparative study for biomedical named entity recognition
Concept recursion and generation for long-term time series forecasting
Rainfall and financial forecasting using fuzzy time series and neural networks based model
Multidta: drug-target binding affinity prediction via representation learning and graph convolutional neural networks
Generalized rough and fuzzy rough automata for semantic computing
M-pSC: a manifold p-spectral clustering algorithm
LM-Net: a dynamic gesture recognition network with long-term aggregation and motion excitation
Deep reinforcement learning based magnet design for arm MRI system
Multi-kernel SVM based depression recognition using social media data
Multi-granularity network representation learning on overlapping communities
Single-image super-resolution via local learning
A Top-K formal concepts-based algorithm for mining positive and negative correlation biclusters of DNA microarray data
Masked face recognition based on knowledge distillation and convolutional self-attention network
Dominance-based decision rule induction for multicriteria ranking
Unsupervised domain specificity for knowledge transfer
A three-way decision model oriented to the twin fuzzy concepts of q-rung orthopair
System-on-programmable-chip implementation of diminishing learning based pattern recognition system
Online UAV path planning in uncertain and hostile environments
Incremental sequential three-way decision based on continual learning network
Stochastic single-machine scheduling with random resource arrival times
Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification
Relevance vector machines using weighted expected squared distance for ore grade estimation with incomplete data
A multi-learning strategy golden eagle optimization algorithm for feature selection in data classification
Two-dimensional k-subspace clustering and its applications on image recognition
Causalteshap: discerning predictive from prognostic features for treatment effect analysis
Lightweight graph neural network architecture search based on heuristic algorithms
Large-scale support vector regression with budgeted stochastic gradient descent
An emerging hybrid mechanism for information disclosure forecasting
Sparse subset selection algorithm for data with missing entries
PF-DETR: Instance position and local feature enhancement for DETR
NEWTR: a multipath routing for next hop destination in internet of things with artificial recurrent neural network (RNN)
Semi-supervised label enhancement via structured semantic extraction
Gradient boosting in crowd ensembles for Q-learning using weight sharing
A lightweight self-ensemble feedback recurrent network for fast MRI reconstruction
DmADs-Net: dense multiscale attention and depth-supervised network for medical image segmentation
Adaptive intuitionistic fuzzy neighborhood classifier
Knowledge measure for intuitionistic fuzzy sets with attitude towards non-specificity
Robust image watermarking scheme in lifting wavelet domain using GA-LSVR hybridization
A fast DBSCAN algorithm using a bi-directional HNSW index structure for big data
Multi-label feature selection via feature manifold learning and sparsity regularization
Local descriptor-based spatial cross attention network for few-shot learning
Multi-valued attribute and multi-labeled data decision tree algorithm