yusuke1997/dblp-id-title huggingface dataset:
Lung CT image based automatic technique for COPD GOLD stage assessment
Clustered defect detection of high quality chips using self-supervised multilayer perceptron
Class-wise and instance-wise contrastive learning for zero-shot learning based on VAEGAN
Combining visual and acoustic features for music genre classification
Joint discriminative and collaborative representation for fatty liver disease diagnosis
Development of a quick credibility scoring decision support system using fuzzy TOPSIS
A joint supervised and self-supervised learning framework for embryo image auto-focusing
An extended support vector machine forecasting framework for customer churn in e-commerce
An aggregation approach for solving the non-linear fractional equality Knapsack problem
SP-ant: An ant colony optimization based operator scheduler for high performance distributed stream processing on heterogeneous clusters
Healthcare performance analytics based on the novel PDA methodology for assessment of efficiency and perceived quality outcomes: A machine learning approach
Applications of thermal image and extension theory to biometric personal recognition
A twin disentanglement Transformer Network with Hierarchical-Level Feature Reconstruction for robust multimodal emotion recognition
KanDMVC: KAN be used for deep multi-view clustering?
An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition
How to optimize modern portfolio theory? A systematic review and research agenda
An autonomous and intelligent expert system for residential water end-use classification
Deep reinforcement learning in service of air traffic controllers to resolve tactical conflicts
Precise refutation of social media rumors through users' perspective: Crowd classification based on Believability
Particle swarm optimization for pap-smear diagnosis
A joint local-global search mechanism for long-term tracking with dynamic memory network
A dual-branch siamese spatial-spectral transformer attention network for Hyperspectral Image Change Detection
Secure and optimized satellite image sharing based on chaotic eπ map and Racah moments
Intelligent modeling of e-business maturity
DRIVE: An adjustable parallel architecture based on evidence awareness for fake news detection
High performance point-Voxel feature set abstraction with mamba for 3D object detection
Assessment of electric vehicle charging hub based on stochastic models of user profiles
Learning financial asset-specific trading rules via deep reinforcement learning
A multi-scale deep learning model with a two-stream temporal attention mechanism for matte temperature soft sensor in flash smelting
Boosting salp swarm algorithm by sine cosine algorithm and disrupt operator for feature selection
A neighborhood information utilization fireworks algorithm and its application to traffic flow prediction
An improved algorithm for partial clustering
Fake news detection using an ensemble learning model based on Self-Adaptive Harmony Search algorithms
Evaluation of students' performance during the academic period using the XG-Boost Classifier-Enhanced AEO hybrid model
SKEDS - An external knowledge supported logistic regression approach for document-level sentiment classification
Discriminative Feature Enhancement Network for few-shot classification and beyond
Human action recognition based on skeleton splitting
An improved boosting based on feature selection for corporate bankruptcy prediction
Modified matrix splitting method for the support vector machine and its application to the credit classification of companies in Korea
Detecting hidden errors in an ontology using contextual knowledge
Fine-grained similarity retrieval of lesion areas in lung CT images based on visual similarity matching of image blocks
A novel temporal recommender system based on multiple transitions in user preference drift and topic review evolution
A meta-evolutionary selection of constituents in ensemble differential evolution algorithm
Knowledge-based approach for dimensionality reduction solving repetitive combinatorial optimization problems
Multi-dimensional weighted deep subspace clustering with feature classification
A methodology for the resolution of cashtag collisions on Twitter - A natural language processing & data fusion approach
Enhancing rainfall prediction accuracy through image fusion of radar and numerical weather prediction models
Simulation-optimization mechanism for expansion strategy using real option theory
Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea
Extracting fuzzy relations in fuzzy time series model based on approximation concepts
Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study
Abstractive summarization: An overview of the state of the art
Neural observer-based adaptive compensation control for nonlinear time-varying delays systems with input constraints
Research of fast SOM clustering for text information
On the intra-subject similarity of hand vein patterns in biometric recognition
Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger
Incorporating global-local neighbors with Gaussian mixture embedding for few-shot knowledge graph completion
Machine learning and data mining in manufacturing
An attribute value filling method in attributed networks with uncertain information
Predicting stock index increments by neural networks: The role of trading volume under different horizons
A two-phase MILP approach to integrate order, customer and manufacturer characteristics into Dynamic Manufacturing Network formation and operational planning
Attention correction feature and boundary constraint knowledge distillation for efficient 3D medical image segmentation
A method for analyzing Stackelberg attack-defense game model in 5G by tCPSO
Bridging the HASM: An OWL ontology for modeling the information pathways in haptic interfaces software
Frequent pattern mining from multivariate time series data
A clustering based Swarm Intelligence optimization technique for the Internet of Medical Things
Cumulative prospect theory under different types of input data for public health resilience assessment during natural disasters
Hybrid sentiment analysis with textual and interactive information
The importance of the language for the evolution of online communities: An analysis based on Twitter and Reddit
Forecasting tourism demand with a novel robust decomposition and ensemble framework
Channel transformer based multi field-of-view model to detect tumor spread through air space in histopathological images
Intelligent system for the analysis of microarray data using principal components and estimation of distribution algorithms
Probabilistic fault detector for Wireless Sensor Network
Multi-dimensional minimum cost consensus model and its application in the location problem of industrial agglomeration zone
Multi-Neighborhood Simulated Annealing for the Capacitated Dispersion Problem
Understanding and predicting lapses in mortgage life insurance using a machine learning approach
Ontology-based mammography annotation and Case-based Retrieval of breast masses
System dynamics analysis of development risks in emerging eVTOL aircraft
Cross-domain few-shot compact multi-modal feature fusion for hyperspectral images classification with supervised contrastive learning
Enhancing rumor detection with data augmentation and generative pre-trained transformer
Discovering urban functional zones from biased and sparse points of interests and sparse human activities
The robust and efficient adaptive normal direction support vector regression
Balancing semantic and structural decoding for fMRI-to-image reconstruction
SALARec: Dual-Alignment Contrastive Learning with Preference-Aware Adversarial Augmentation for Sequential Recommendation
Multi-objective optimization for the sightseeing bus problem: Trade-off between tourists and operator
Towards automatically filtering fake news in Portuguese
Spammer detection via ranking aggregation of group behavior
Cooperative annealing Hopfield network for unconstrained binary quadratic programming problem
Naming entity recognition of citrus pests and diseases based on the BERT-BiLSTM-CRF model
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
An ensemble learning approach to lip-based biometric verification, with a dynamic selection of classifiers
Achieving efficient agreement within a dual-failure cloud-computing environment
MLC: Multi-level consistency learning for semi-supervised left atrium segmentation
SigTem: A non-invertible technique for online signature template protection
Introducing a novel multi-objective optimization model for volunteer assignment in the post-disaster phase: Combining fuzzy inference systems with NSGA-II and NRGA
NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration
Corrigendum to "Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings" [Expert Syst. Appl. 213 (2023) 119217]
Freq-DETR: Frequency-aware transformer for real-time small object detection in unmanned aerial vehicle imagery
An influences-adapted two-phase approach to stance detection in the diachronic perspective
Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network
Comparing strategies for modeling students learning styles through reinforcement learning in adaptive and intelligent educational systems: An experimental analysis
Introduction of a combination vector to optimise the interpolation of numerical phantoms
Supplier selection in a fuzzy group setting: A method using grey related analysis and Dempster-Shafer theory
DSER: Deep-Sequential Embedding for single domain Recommendation
Multilevel thresholding using grey wolf optimizer for image segmentation
Deep video anomaly detection in automated laboratory setting
SPE-SHAP: Self-paced ensemble with Shapley additive explanation for the analysis of aviation turbulence triggered by wind shear events
Sparse convex combinations of forecasting models by meta learning
A statistical approach to large-scale group decision making with incomplete hesitant fuzzy linguistic information by incorporating risk attitude
A conceptual model of personalized virtual learning environments
Evolutionary construction and adaptation of intelligent systems
Using the self organizing map for clustering of text documents
Anytime automatic algorithm selection for knapsack
Bias and variance residuals for machine learning nonlinear simplex regressions
An ensemble deep learning for automatic prediction of papillary thyroid carcinoma using fine needle aspiration cytology
Multi-level abstraction for trace comparison and process discovery
Co-changing code volume prediction through association rule mining and linear regression model
Dynamics of firm financial evolution and bankruptcy prediction
A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization
Adoption of RFID technologies in UK logistics: Moderating roles of size, barcode experience and government support
Automatic detection of cyberbullying behaviour on social media using Stacked Bi-Gru attention with BERT model
Bankruptcy prediction using machine learning models with the text-based communicative value of annual reports
Normalization method for quantitative and qualitative attributes in multiple attribute decision-making problems
Hyperspectral passive non-line-of-sight imaging with band selection
A new hybrid approach for feature selection and support vector machine model selection based on self-adaptive cohort intelligence
FPGA-based implementation of intelligent predictor for global solar irradiation, Part I: Theory and simulation
Regaining drifting mobile communication customers: Predicting the odds of success of winback efforts with competing risks regression
Web mining based extraction of problem solution ideas
Fuzzy rule based unsupervised sentiment analysis from social media posts
An integrated and intelligent DSS for manufacturing systems
UAV fault diagnosis based on collaborative sharing of generic and task-oriented features
Stream ETL framework for twitter-based sentiment analysis: Leveraging big data technologies
Feature based local binary pattern for rotation invariant texture classification
A geometric algebra-based approach for myoelectric pattern recognition control and faster prosthesis recalibration
Maximizing influence under influence loss constraint in social networks
Abstractive text summarization model combining a hierarchical attention mechanism and multiobjective reinforcement learning
Improved watershed transform for tumor segmentation: Application to mammogram image compression
Multiscale self-attention convolution and adaptive fusion for enhanced multimodal medical image fusion
Fake news detection in Dravidian languages using multiscale residual CNN_BiLSTM hybrid model
EDANet: Efficient domain-adaptive attention neural network for EEG classification of motor imagery
Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor method
Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures
Algorithmic lateral inhibition method in dynamic and selective visual attention task: Application to moving objects detection and labelling
Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation
Damp trend Grey Model forecasting method for airline industry
Map segmentation for geospatial data mining through generalized higher-order Voronoi diagrams with sequential scan algorithms
Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks
A novel min-max robust model for post-disaster relief kit assembly and distribution
A robust deep learning model for underwater acoustic multi-target recognition under non-target interference conditions
Personalized federated learning with mixture of experts and conformal prediction for household energy forecasting
Semantic Guided Interactive Image Retrieval for plant identification
Mitigating tractor vibrations with a robust adaptive fractional Controller: Design and Validation
Multi-objective genetic algorithms for scheduling of radiotherapy treatments for categorised cancer patients
Mining rules from an incomplete dataset with a high missing rate
Efficient feature selection method using real-valued grasshopper optimization algorithm
Success history applied to expert system for underwater glider path planning using differential evolution
EdgeFont: Enhancing style and content representations in few-shot font generation with multi-scale edge self-supervision
Vehicle re-routing under disruption in cross-dock network with time constraints
CBR-based cost prediction model-II of the design phase for multi-family housing projects
A multi-user game-based system for planning modular construction activities
Ordinal regression for preference learning in wearables using sensor data
Shape characterization and depth recognition of metal cracks based on laser infrared thermography and machine learning
A time-series clustering methodology for knowledge extraction in energy consumption data
Including spatial interdependence in customer acquisition models: A cross-category comparison
ODS-EA: An objective to decision space-based evolutionary algorithm for high-dimensional feature selection
A comprehensive study of chaos embedded bridging mechanisms and crossover operators for grasshopper optimisation algorithm
Machine learning for dynamic multi-product supply chain formation
Unequal-area capability-based facility layout design problem with a heuristic decomposition-based iterative mathematical programming approach
Multimodel anomaly detection on spatio-temporal logistic datastream with open anomaly detection architecture
Modeling the debate dynamics of political communication in social media networks
Learning local representations for scalable RGB-D face recognition
Genetic algorithms with self-adaptation for predictive classification of Medicare standardized payments for physical therapists
LSCO: Light spectrum chimp optimization based spinalnet for live face detection and recognition
Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models
Research on height prediction of water-conducting fracture zone in coal mining based on intelligent algorithm combined with extreme boosting machine
Static-dynamic collaborative graph convolutional network with meta-learning for node-level traffic flow prediction
Differentiating users by language and location estimation in sentiment analisys of informal text during major public events
Fuzzy expert system with double knowledge base for ultrasonic classification
An evaluation method for model transfer learning performance in industrial surface defect detection tasks
Thumbnail-preserving encryption via triple random number pair-based sum-preserving diffusion mechanism
Comparative assessment of common pre-trained CNNs for vision-based surface defect detection of machined components
An improved random permutation set entropy to address self-contradiction
Decision-making on the selection of lean tools using fuzzy QFD and FMEA approach in the manufacturing industry
On the use of summarization and transformer architectures for profiling résumés
A predictive model for chinese children with developmental dyslexia - Based on a genetic algorithm optimized back-propagation neural network
Carbon-neutral potential analysis of urban power grid: A multi-stage decision model based on RF-DEMATEL and RF-MARCOS
Multi-strategy and self-adaptive differential sine-cosine algorithm for multi-robot path planning
A sampling approach for the approximation of the Deegan-Packel index
A hybrid clustering-based type-2 adaptive neuro-fuzzy forecasting model for smart control systems
Probabilistic representation and approximate inference of type-2 fuzzy events in Bayesian networks with interval probability parameters
Wi-Fi multi-floor indoor positioning considering architectural aspects and controlled computational complexity
Enhancing image categorization with the quantized object recognition model in surveillance systems
Resilient facility location optimization under failure scenarios using NSGA-III: A multi-objective approach for enhanced system robustness
Constructing a decision tree from data with hierarchical class labels
Bivariate quality control using two-stage intelligent monitoring scheme
Geometry Attention Transformer with position-aware LSTMs for image captioning
Unsupervised multi-subepoch feature learning and hierarchical classification for EEG-based sleep staging
KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs
An ontology based multi-agent system to support HABIO outsourcing framework
Granular-ball computing-based manifold clustering algorithms for ultra-scalable data
Twinned Residual Auto-Encoder (TRAE) - A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images
A differentiated one-class classification method with applications to intrusion detection
A Meta heuristic approach for performance assessment of production units
Scheduling flow lines with buffers by ant colony digraph
Towards understanding the importance of time-series features in automated algorithm performance prediction
Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors
A cost-effective approach for mining near-optimal top-k patterns
Multi-stage ensemble with refinement for noisy labeled data classification
Real-time distributed decision-making for simultaneous target assignment and path planning in multiple unmanned surface vehicles
GRBMC: An effective crowdsourcing recommendation for workers groups
Combined DEMATEL technique with a novel MCDM model for exploring portfolio selection based on CAPM
GDBA: Defending graph neural networks via attribute debiasing
Multi-document summarization based on the Yago ontology
WRND: A weighted oversampling framework with relative neighborhood density for imbalanced noisy classification
Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating
Building energy performance prediction: A reliability analysis and evaluation of feature selection methods
Identifying important nodes based on local and global information
Liquefied natural gas importing security strategy considering multi-factor: A multi-objective programming approach
Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression
Classification based on association rules: A lattice-based approach
SherVine: A graphical dependency modeling for shearlet transform and its application in image quality assessment
Software prototype for solving multi-objective machining optimization problems: Application in non-conventional machining processes
An evaluation of local interest regions for non-rigid object class recognition
Drug-target continuous binding affinity prediction using multiple sources of information
Product processing prioritization in hybrid flow shop systems supported on Nash bargaining model and simulation-optimization
A linguistic Z-number-based dual perspectives information volume calculation method for driving behavior risk evaluation
Multi-class traffic assignment using multi-view heterogeneous graph attention networks
CPIN: Comprehensive present-interest network for CTR prediction
A novel air combat target threat assessment method based on three-way decision and game theory under multi-criteria decision-making environment
NSGAIII based on utopian point improvements and its application in wastewater treatment process
GLMKD: Joint global and local mutual knowledge distillation for weakly supervised lesion segmentation in histopathology images
An intelligent path planning algorithm for dynamic football training environments
Cloud vendor selection using choice models based on interactive criteria and varying attitudes of experts
Supplier selection and performance evaluation in just-in-time production environments
A novel jujube tree trunk and branch salient object detection method for catch-and-shake robotic visual perception
Applying Moving back-propagation neural network and Moving fuzzy-neuron network to predict the requirement of critical spare parts
Pattern development for vessel accidents: a comparison of statistical and neural computing techniques
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces
Multi-modality helps in crisis management: An attention-based deep learning approach of leveraging text for image classification
A taxonomy of blockchain consensus protocols: A survey and classification framework
Parallel mining of contextual outlier using sparse subspace
Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning
Experimental evaluation of two new GEP-based ensemble classifiers
Discrete particle swarm optimization method for the large-scale discrete time-cost trade-off problem
A locality analysis on purchasing helper at e-commerce webpage - The example in TW, CN, MO and HK
Fast outlier detection for very large log data
A method for constructing a machining knowledge graph using an improved transformer
KRNN: A hybrid data and knowledge oriented time series forecasting approach for health care applications
AAGR: graph-level anomaly detection with Anomaly-aware Graph Readout
Spatial and learnable frequency dynamic collaborative visual perception network for remote sensing images semantic segmentation
Interactive visual guidance for automated stereotactic radiosurgery treatment planning