yusuke1997/dblp-id-title huggingface dataset:
Data mining and machine learning approaches for prediction modelling of schistosomiasis disease vectors
Attention-addressing and adaptive-intention-clustering based memory recall for pedestrian trajectory prediction
Multi-label causal feature selection based on neighbourhood mutual information
A survey of robust optimization based machine learning with special reference to support vector machines
Attribute selection methods based on graph theory in updated formal contexts
Graph-aware tensor factorization convolutional network for knowledge graph completion
Speeding up maximal fully-correlated itemsets search in large databases
Stability analysis of incremental concept tree for concept cognitive learning
On development of multimodal named entity recognition using part-of-speech and mixture of experts
Fourier-based degradation-aware transformer-style network for blind image super-resolution
KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification
Robust adaptive control of uncertain dynamic systems using self-evolving neural learning technique
Mixed attribute reduction in limited labeled data: a local neighborhood rough set approach
Soft subspace clustering with an improved feature weight self-adjustment mechanism
A new method for two-stage partial-to-partial 3D point cloud registration: multi-level interaction perception
Online handwritten scripts classification using fuzzy attributed relational graphs
A new two-stage hybrid feature selection algorithm and its application in Chinese medicine
Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme
A three-way decision method based on COPRAS in the weak probabilistic linguistic term set information systems
Simplified neutrosophic harmonic averaging projection-based method for multiple attribute decision-making problems
View-independent representation with frame interpolation method for skeleton-based human action recognition
An information fusion technology for triadic decision contexts
On rule acquisition in decision formal contexts
Combination of loss functions for deep text classification
Entropy based optimal scale combination selection for generalized multi-scale information tables
GNNRI: detecting anomalous social network users through heterogeneous information networks and user relevance exploration
Evaluating zero-shot multilingual aspect-based sentiment analysis with large language models
The Primary Language of ancient battles
Iterative search method for total flowtime minimization no-wait flowshop problem
Fast and unsupervised outlier removal by recurrent adaptive reconstruction extreme learning machine
When to transfer: a dynamic domain adaptation method for effective knowledge transfer
Multi-agent reinforcement learning for redundant robot control in task-space
Multi video summarization using query based deep optimization algorithm
A scalable memory-enhanced swarm intelligence optimization method: fractional-order Bat-inspired algorithm
Global Lagrange stability for neutral type neural networks with mixed time-varying delays
LSTM with spatiotemporal attention for IoT-based wireless sensor collected hydrological time-series forecasting
Editorial: New trends on machine learning applied to information processing under uncertainty
Building hierarchical class structures for extreme multi-class learning
Pretraining without wordpieces: learning over a vocabulary of millions of words
Fine-tuning of line and slope based on evolutionary mechanism
Weak-label-based global and local multi-view multi-label learning with three-way clustering
TL-SNN: event-driven visual-tactile learning with temporal and location spiking neurons
Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization
Micro-extended belief rule-based system with activation factor and parameter optimization for industrial cost prediction
Tuning of data augmentation hyperparameters in deep learning to building construction image classification with small datasets
Graph based semi-supervised learning via label fitting
Enhanced and lightweight design of small object detector based on YOLOv5s model
Visual tracking with screening region enrichment and target validation
Noise reduction in microarray gene expression data based on spectral analysis
A cue integration method for anaglyph image partition
Multipolar fuzzy a-ideals in BCI-algebras
A comprehensive cross-attention and fuzzy segmentation approach for rice plant disease detection
H ∞ control via state observer feedback for the T-S fuzzy singular system
A novel electrocardiogram arrhythmia classification method based on stacked sparse auto-encoders and softmax regression
A variational Bayesian framework for group feature selection
A fast and robust face recognition approach combining Gabor learned dictionaries and collaborative representation
Optimal filtering of measured spectral intensity, estimation of light attenuation coefficient and prediction of the euphotic zone in shallow waters
HashEclat: an efficient frequent itemset algorithm
A new approach for the deep order preserving submatrix problem based on sequential pattern mining
Attribute encoding transformer on unattributed dynamic graphs for anomaly detection
A learning framework for information block search based on probabilistic graphical models and Fisher Kernel
Fuzzy β covering based self-information for feature selection
Incremental approaches for optimal scale selection in dynamic multi-scale set-valued decision tables
A hybrid optimization approach based on clustering and chaotic sequences
Sparse robust multiview feature selection via adaptive-weighting strategy
Improved stochastic dissipativity of uncertain discrete-time neural networks with multiple delays and impulses
Fuzzy adaptive model predictive control and sparse identification for unmanned vehicles
Gf-former: an accurate UAV-based remote sensing image network for high-precision automatic segmentation of ground fissures in mining regions
A hybrid optimized approaches for ball bearing state prognosis for effective decision making
Evaluating skills in hierarchical reinforcement learning
Transformer-based contrastive learning framework for image anomaly detection
Hierarchical multilabel classification by exploiting label correlations
Gradient descent algorithms for quantile regression with smooth approximation
Bi-firing deep neural networks
An initial study on the rank of input matrix for extreme learning machine
Transformer embedded spectral-based graph network for facial expression recognition
Caps-OWKG: a capsule network model for open-world knowledge graph
New advances in three-way decision, granular computing and concept lattice
The aggregation operators based on the 2-dimension uncertain linguistic information and their application to decision making
A voice activity detection algorithm in spectro-temporal domain using sparse representation
Incremental calculation approaches for granular reduct in formal context with attribute updating
Bisociation networks analysis for business process
GMNet: an action recognition network with global motion representation
Incremental hashing with sample selection using dominant sets
Fuzzy information gain ratio-based multi-label feature selection with label correlation
Multiple Span Bidirectional RWKV Network for Infrared Image Super-Resolution
Development of ensemble learning classification with density peak decomposition-based evolutionary multi-objective optimization
Few-shot learning with deep balanced network and acceleration strategy
An emergency decision making method based on the multiplicative consistency of probabilistic linguistic preference relations
A research summary about triadic concept analysis
IoT based healthcare system selection with picture fuzzy modified combined compromise solution based on distance measure and score function
Generating robust real-time object detector with uncertainty via virtual adversarial training
Online planning for relative optimal and safe paths for USVs using a dual sampling domain reduction-based RRT* method
An interpretable neural network for robustly determining the location and number of cluster centers
Distance, similarity and entropy measures of dynamic interval-valued neutrosophic soft sets and their application in decision making
Hyperspectral image classification based on multiple reduced kernel extreme learning machine
Improved fuzzy C-means algorithm based on density peak
A new hybrid classifier selection model based on mRMR method and diversity measures
Core structure-guided multi-modal classification via Monte Carlo Tree Search
Sparse low-redundancy multi-label feature selection with constrained laplacian rank
An image segmentation method based on the fusion of vector quantization and edge detection with applications to medical image processing
Capacitated two-stage facility location problem with fuzzy costs and demands
A regularization on Lagrangian twin support vector regression
Lamformer: LSTM-enhanced agent attention and mixture-of-experts transformer for efficient stock price prediction
A new soft union set: characterizations of hemirings
Multi-stage transfer learning with BERTology-based language models for question answering system in vietnamese
Full-class set classification using the Hungarian algorithm
Correction to: Different treatments of pixels in unlabeled images for semi-supervised sonar image segmentation
Online streaming feature selection for high-dimensional small-sample data
Compensation contract design for vocational graduates with general and specific skills
Feature selection based on a hybrid simplified particle swarm optimization algorithm with maximum separation and minimum redundancy
Unsupervised domain adaptation via feature transfer learning based on elastic embedding
Improved probabilistic neural network PNN and its application to defect recognition in rock bolts
Robust local K-proximal plane clustering based on L2,1-norm minimization
Link prediction for heterogeneous information networks based on enhanced meta-path aggregation and attention mechanism
Enhancing framelet GCNs with generalized p-Laplacian regularization
Glaucoma detection and severity classification based on glaucoattent net framework
Spatial pooling for greyscale images
Proportional periodic sampling for cross-load bearing fault diagnosis
Sparse graphs using global and local smoothness constraints
Long sequence time-series forecasting of rare earth price based on variational mode decomposition and improved random forest
Consistent multi-view subspace clustering with local structure information
Directivity and SLL optimization of time modulated concentric circular antenna array synthesis: an hybrid evolutionary approach
A weighted exponential discriminant analysis through side-information for face and kinship verification using statistical binarized image features
Democratic three-way decisions based on voting mechanism
Improving news articles recommendations via user clustering
Cross-domain pattern classification with heterogeneous distribution adaptation
Multi-criteria decision-making method based on dominance degree and BWM with probabilistic hesitant fuzzy information
DeepCascade-WR: a cascading deep architecture based on weak results for time series prediction
Predicting subcellular localization of multi-location proteins by improving support vector machines with an adaptive-decision scheme
Daily routines discovery based on weighted spatial-temporal features
An efficient and fast algorithm for community detection based on node role analysis
3A-COT: an attend-arrange-abstract chain-of-thought for multi-document summarization
No-reference image quality assessment by using convolutional neural networks via object detection
Different gaze direction (DGNet) collaborative learning for iris segmentation
SPAN: siampillars attention network for 3D object tracking in point clouds
On inclusion measures of intuitionistic and interval-valued intuitionistic fuzzy values and their applications to group decision making
Few-shot learning based on enhanced pseudo-labels and graded pseudo-labeled data selection
Water atom search algorithm-based deep recurrent neural network for the big data classification based on spark architecture
A cross-validation framework to find a better state than the balanced one for oversampling in imbalanced classification
Two-stage heuristic genetic optimization algorithm for multi-UAV logistics task allocation
Adaptive fuzzy modular backstepping output feedback control of uncertain nonlinear systems in the presence of input saturation
Context-aware generative prompt tuning for relation extraction
Almost periodic solutions for fuzzy cellular neural networks with multi-proportional delays
Efficient image segmentation through 2D histograms and an improved owl search algorithm
Optimal sizing of CMOS analog circuits using gravitational search algorithm with particle swarm optimization
Parallel computing techniques for concept-cognitive learning based on granular computing
A robust periodicity mining method from incomplete and noisy observations based on relative entropy
Novel fusion strategies for continuous interval-valued q-rung orthopair fuzzy information: a case study in quality assessment of SmartWatch appearance design
Locality similarity and dissimilarity preserving support vector machine
N-semble: neural network based ensemble approach
Improving label quality in crowdsourcing using deep co-teaching-based noise correction
Hesitant interval neutrosophic linguistic set and its application in multiple attribute decision making
A hybrid similarity measure-based clustering approach for mixed attribute data
Pseudo-label driven deep hashing for unsupervised cross-modal retrieval
Enhanced neighborhood node graph neural networks for load forecasting in smart grid
Exploring possibilistic fingerprint image quality analysis: a soft computing approach for biometric database management
Subjectivity and awareness
Using a small dataset to classify strength-interactions with an elastic display: a case study for the screening of autism spectrum disorder
A comprehensive study on color correction for medical facial images
Integrated artificial intelligence-based resizing strategy and multiple criteria decision making technique to form a management decision in an imbalanced environment
Text semantic matching with an enhanced sample building method based on contrastive learning
iMovieRec: a hybrid movie recommendation method based on a user-image-item model
Industrial product surface defect detection via the fast denoising diffusion implicit model
Document-level event extraction combined with writing style and argument role relation
A multi-source credit data fusion approach based on federated distillation learning
Interval valued intuitionistic fuzzy sets in \(\Gamma \) -semihypergroups
Sharp dense U-Net: an enhanced dense U-Net architecture for nucleus segmentation
Reduced PAPR Model Predictive Control based FBMC/OQAM signal for NB-IoT paradigm
An improved TODIM method based on the hesitant fuzzy psychological distance measure
Meta-DPSTL: meta learning-based differentially private self-taught learning
Omnidirectional walking using central pattern generator
An improved artificial bee colony algorithm for solving constrained optimization problems
Adaptive occlusion hybrid second-order attention network for head pose estimation
Semi-supervised clustering for gene-expression data in multiobjective optimization framework
Metaheuristic-based extreme learning machines: a review of design formulations and applications
Feature selection in high-dimensional data: an enhanced RIME optimization with information entropy pruning and DBSCAN clustering
Consensus latent incomplete multi-view clustering with low-rank tensor constraint
Graph regularized symmetric non-negative matrix factorization with degree-related spectral clustering and topological structure for link prediction in complex network
Multi-level features fusion and selection for human gait recognition: an optimized framework of Bayesian model and binomial distribution
Ideals and fuzzy ideals on residuated lattices
Rlm-tracking: online multi-pedestrian tracking supported by relative location mapping
Stochastic configuration network modeling method based on information superposition and mixture correntropy
A novel stratification clustering algorithm based on a new local density estimation method and an improved local inter-cluster distance measure
The additive consistency measure of fuzzy reciprocal preference relations
Long-short interest network with graph-based method for sequential recommendation
Candidate region acquisition optimization algorithm based on multi-granularity data enhancement
Towards flexible management in enterprise network: an enhanced routing protocol
Epistemic uncertainty based linear programming problem and its solution
Quadratic memory-augmented spatio-temporal transformer graph convolutional recurrent network for traffic forecasting
RLIM: representation learning method for influence maximization in social networks
One-way mutation: an efficient strategy to improve the performance of evolutionary algorithms for solving 0-1 knapsack problem
Cross-lingual sentiment analysis empowered by emotional mutual reinforcement through emojis
Bidirectional interaction and inference strategy joint approach for span-level aspect sentiment triplet extraction
A novel decomposition-ensemble approach to crude oil price forecasting with evolution clustering and combined model
A robust novelty detection framework based on ensemble learning
Self organizing map and wavelet based image compression
Three-way fuzzy concept lattice representation using neutrosophic set
Time series clustering of dynamical systems via deterministic learning
Selection of relevant texture descriptors for recognition of HEp-2 cell staining patterns
Semisupervised action recognition with adaptive correlation learning
A writing style-based multi-task model with the hierarchical attention for rumor detection
Augmentation and heterogeneous graph neural network for AAAI2021-COVID-19 fake news detection
Personalized federated learning based on multi-head attention algorithm
Gain ratio weighted inverted specific-class distance measure for nominal attributes
Artificial intelligence in landscape architecture: a survey
Self-questioning dynamical evolutionary game with altruistic behavior and sharing mechanism in scale-free network
On rough approximations of groups
An ordered subsets orthogonal nonnegative matrix factorization framework with application to image clustering
Multiple-instance learning via multiple-point concept based instance selection
Employing IoT and pest sound analysis with multi-feature and multi-deep learning networks for detecting, preventing and controlling the pests in expansive farmland
Surface electromyography feature extraction via convolutional neural network
Solving the fuzzy p-hub center problem using imperialist competitive algorithm
Leveraging semantics for sentiment polarity detection in social media
Composite adaptive fuzzy backstepping control of uncertain fractional-order nonlinear systems with quantized input
Incremental attribute reduction with rough set for dynamic datasets with simultaneously increasing samples and attributes
Two kinds of multi-level formal concepts and its application for sets approximations
Large-scale evolutionary optimization: a survey and experimental comparative study
Unsupervised learning of monocular depth and ego-motion with space-temporal-centroid loss
Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications
Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals
A study on foreign direct investment mode based on AHP and entropy learning
Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines
Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment
Tensor low-rank representation combined with consistency and diversity exploration
Diffpvt:information filtering based diffusion model with PVT for medical image segmentation
Modeling tourists preferences through online reviews: an UPL-PT-MULTIMOORA-EDAS group decision method for wellness scenic spots selection
An improved many-objective meta-heuristic adaptive decomposition algorithm based on mutation individual position detection
Adaptive exponential synchronization of delayed Cohen-Grossberg neural networks with discontinuous activations
EEG-based detection of cognitive load using VMD and LightGBM classifier
Multi-objective optimization based on hyperparameter random forest regression for linear motor design
SDGNN: Structure-aware Dual Graph Neural Network for Code Summarization
NIDS-CBAD: detecting adversarial attacks in network intrusion detection systems using domain constraints
Topic specific emotion detection for retweet prediction
Optimal policy for fuzzy expected value production inventory model with imprecise production preparation-time
Intuitionistic fuzzy c-means clustering algorithm based on a novel weighted proximity measure and genetic algorithm
A risk degree-based safe semi-supervised learning algorithm
Different treatments of pixels in unlabeled images for semi- supervised sonar image segmentation
Modeling and optimization of polysaccharide precipitation of traditional Chinese medicine injection
Sequence clustering algorithm based on weighted vector identification
Multi-classification decision-making method for interval-valued intuitionistic fuzzy three-way decisions and its application in the group decision-making
A two-sided matching method considering the lowest value of acceptability with regret theory for probabilistic linguistic term sets
Fine-grained image recognition via trusted multi-granularity information fusion
Multiple-model and time-sensitive dynamic active learning for recurrent graph convolutional network model extraction attacks
A stochastic recursive gradient algorithm integrating momentum and the powerball function with adaptive step sizes
Two-stage multi-sided matching dispatching models based on improved BPR function with probabilistic linguistic term sets
Semi-supervised discriminant Isomap with application to visualization, image retrieval and classification
Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis
Similarity graph-based max-flow and duality approaches for semi-supervised data classification and image segmentation
Comparative analysis on margin based feature selection algorithms
Spatio-temporal Fourier dynamic graph convolution network for traffic forecasting
Uncertain mean-risk index portfolio selection considering inflation: Chaos adaptive genetic algorithm
Reconstructing images corrupted by noise based on D-S evidence theory
Group decision-making method with directed graph under linguistic environment
Automated worker skill evaluation for improving productivity based on labeled LDA
learning anomalous human actions using frames of interest and decoderless deep embedded clustering
Single-stage zero-shot object detection network based on CLIP and pseudo-labeling
A new rotation forest ensemble algorithm
AM-CFDN: semi-supervised anomaly measure-based coal flow foreign object detection network
Orientation space code and multi-feature two-phase sparse representation for palmprint recognition
Concealing party-centric sensitive rules in a centralized data source
Advancing ASD detection: novel approach integrating attention graph neural networks and crossover boosted meerkat optimization
A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction
Rainfall prediction using time series data based on RSJSO_BiLSTM
Skeleton-based 3D human pose estimation with low-resolution infrared array sensor using attention based CNN-BiGRU
Distance metric learning with local multiple kernel embedding
Multi-label learning with incomplete labels via dual manifold mappings