yusuke1997/dblp-id-title huggingface dataset:
Detection of Attention Deficit Hyperactivity Disorder in children using CEEMDAN-based cross frequency symbolic convergent cross mapping
An AI approach for optimizing multi-pallet loading operations
A semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive Bayes
Spatio-temporal graph mixformer for traffic forecasting
L1/2-regularized nonnegative matrix factorization for HMM-based sequence representation learning
Adaptive multi-step path planning for multi-robot in dynamic environments based on hybrid optimization approach
Using improved grey forecasting models to forecast the output of opto-electronics industry
Detecting fraud in online games of chance and lotteries
Integrated scheduling of resource-constrained flexible manufacturing systems using constraint programming
A simplified approach for data filling in incomplete soft sets
Advances in aligning knowledge systems, improving business logistics, driving innovation and adapting customer centric services
Trajectory estimation and optimization through loop closure detection, using omnidirectional imaging and global-appearance descriptors
HyperMem: Hypernetwork with memory for forgetting problem in federated reinforcement learning
DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders
Effective data generation for imbalanced learning using conditional generative adversarial networks
Mobile nested transactions for nomadic teams
Graph diffusion with dual-distance metrics for missing multi-label feature selection
Applied p-median and p-center algorithms for facility location problems
Dual-Robust Radio Map Generation and Updating with Multi-scale Feature Fusion for Indoor Localization
DeepFogAQ: A fog-assisted decentralized air quality prediction and event detection system
Design and development of agent-based procurement system to enhance business intelligence
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system
Text line segmentation from struck-out handwritten document images
Augmentation-free dynamic graph contrastive learning based on transformers
Optimization of resilient humanitarian logistics using a robust combinatorial multi-attribute reverse auction
Structural optimization using multi-objective modified adaptive symbiotic organisms search
An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry
A decomposition method to analyze the performance of frame bridge based automated container terminal
Segmenting ideal morphologies of sewer pipe defects on CCTV images for automated diagnosis
An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization
A multilevel optimization approach for daily scheduling of combined heat and power units with integrated electrical and thermal storage
Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment
Chaotic particle swarm optimization for data clustering
TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values
Intelligent fault diagnosis for triboelectric nanogenerators via a novel deep learning framework
Fragment-level classification of ECG arrhythmia using wavelet scattering transform
Traditional Chinese medicine toxicity prediction by heterogeneous network
A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity
Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning
Multi-objective dynamic scheduling in flexible job shops via preference-driven reinforcement learning with meta-path-based transformer model
Developing an ontology-supported information integration and recommendation system for scholars
Image privacy protection scheme based on high-quality reconstruction DCT compression and nonlinear dynamics
A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers
Clone selection programming and its application to symbolic regression
A biological sub-sequences detection using integrated BA-PSO based on infection propagation mechanism: Case study COVID-19
Adaptive sparse lightweight multi-scale hybrid network for remote sensing image semantic segmentation
Enhanced medical image analysis using hybrid Henry gas Solubility optimization algorithm with optimized AdaBoost stacked neural networks
Automatic detection of Long Method and God Class code smells through neural source code embeddings
Prototype reduction techniques: A comparison among different approaches
CrePoster: Leveraging multi-level features for cultural relic poster generation via attention-based framework
Fitness peak clustering based dynamic multi-swarm particle swarm optimization with enhanced learning strategy
Deep Convolutional Neural Network to improve the performances of screening process in LBVS
Center-shared sliding ensemble of neural networks for syntax analysis of natural language
Overexposed infrared and visible image fusion benchmark and baseline
System flow centrality index for evaluating the influence of a given system element in a network graph
Air pollutant diffusion trend prediction based on deep learning for targeted season - North China as an example
Improved multilevel security with latent semantic indexing
Ranking and significance of variable-length similarity-based time series motifs
Light and shadows of smart contract development with LLMs
Systematic operations of Massive MIMO for Internet of Things networks
Introducing adaptive neurofuzzy modeling with online learning method for prediction of time-varying solar and geomagnetic activity indices
Performance evaluation of the correntropy coefficient in automatic modulation classification
An effective refinement strategy for KNN text classifier
GANRec: A negative sampling model with generative adversarial network for recommendation
A novel multi-objective evolutionary algorithm with a two-fold constraint-handling mechanism for multiple UAV path planning
Bipartite network embedding with Symmetric Neighborhood Convolution
A neuro-heuristic approach for recognition of lung diseases from X-ray images
Attribute based specification, comparison and selection of electroplating system using MADM approach
Multi-modal multi-objective firefly algorithm with multi-stage niches and route planning application
Forecasting model of global stock index by stochastic time effective neural network
A hybrid expert system for finite element modeling of fuselage frames
Detecting concept drift in data streams using model explanation
Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study
HeFDN: Heterogeneous graph adversarial generation model for Chinese medical insurance fraud detection
Safety-aware Graph-based Semi-Supervised Learning
An integrated approach for logistic and vendor managed inventory in supply chain
A multi-components approach to monitoring process structure and customer behaviour concept drift
A review of ant algorithms
Robust circuit optimization under PVT variations via weight optimization problem reformulation
Learning general model for activity recognition with limited labelled data
A multimeasure approach to optimism and pessimism in multiple criteria decision analysis based on Atanassov fuzzy sets
Design of a reconfigurable prognostics platform for machine tools
Energy-cost-aware resource-constrained project scheduling for complex product system with activity splitting and recombining
Non-intrusive load disaggregation based on composite deep long short-term memory network
Modeling strength enhancement of FRP confined concrete cylinders using soft computing
Data-driven smoothing approaches for interest modeling in recommendation systems
Improving forecasts of GARCH family models with the artificial neural networks: An application to the daily returns in Istanbul Stock Exchange
Profiling risk sensibility through association rules
e-LION: Data integration semantic model to enhance predictive analytics in e-Learning
Prediction model building with clustering-launched classification and support vector machines in credit scoring
A new TOPSIS-based multi-criteria approach to personnel selection
An NLP-guided ontology development and refinement approach to represent and query visual information
An improvement on the Migrating Birds Optimization with a problem-specific neighboring function for the multi-objective task allocation problem
An improved analogy-rule based software effort estimation using HTRR-RNN in software project management
Hybrid feature selection model for accurate wind speed forecasting from numerical weather prediction dataset
Multi-scale structure-guided graph generation for multi-view semi-supervised classification
Merging plans with incomplete knowledge about actions and goals through an agent-based reputation system
A cooperative multi-agent robotics system: Design and modelling
CAMAF: Context-Aware Multimodal Alignment Framework for explainable lung disease risk stratification
Topics modeling based on selective Zipf distribution
A novel symplectic relevance matrix machine method for intelligent fault diagnosis of roller bearing
Scale-invariant information bottleneck for domain generalization
Time series classification based on complex network
LSTM network as a screening tool to detect moderate traumatic brain injury from resting-state electroencephalogram
Adapting groupware systems to changes in the collaborator's context of use
Leveraging email marketing: Using the subject line to anticipate the open rate
gTour: Multiple itinerary recommendation engine for group of tourists
Applying machine learning in accounting research
Identifying requirements for communication support: A maturity grid-inspired approach
An intelligent fault diagnosis method based on wavelet packer analysis and hybrid support vector machines
Ordinal classification for interval-valued data and interval-valued functional data
FBDPN: CNN-Transformer hybrid feature boosting and differential pyramid network for underwater object detection
Using a fuzzy Poka-Yoke based controller to restrain emissions in naturally ventilated environments
An expert classification consensus reaching model based on fuzzy trust relationship matrix in the application of steel industry
Improving neighbor-based collaborative filtering by using a hybrid similarity measurement
Point cloud quality assessment using the perceptual clustering weighted graph (PCW-Graph) and attention fusion network
Constructing marketing decision support systems using data diffusion technology: A case study of gas station diversification
Spatio-temporal mix deformable feature extractor in visual tracking
Adapting dynamic classifier selection for concept drift
Towards certification: A complete statistical validation pipeline for supervised learning in industry
Video on demand recommender system for internet protocol television service based on explicit information fusion
Application of principal component analysis to ECG signals for automated diagnosis of cardiac health
Retrieval-Augmented Generation-aided causal identification of aviation accidents: A large language model methodology
Automatic classification of atrial fibrillation from short single-lead ECG recordings using a Hybrid Approach of Dual Support Vector Machine
Combining grey relation analysis with FMCGDM to evaluate financial performance of Taiwan container lines
Predicting and explaining performance and diversity of neural network architecture for semantic segmentation
Diffusion models-based motor imagery EEG sample augmentation via mixup strategy
Condition evaluation of existing reinforced concrete bridges using fuzzy based analytic hierarchy approach
An effective multi-restart iterated greedy algorithm for multi-AGVs dispatching problem in the matrix manufacturing workshop
Unstructured borderline self-organizing map: Learning highly imbalanced, high-dimensional datasets for fault detection
Deep neighbor-coherence hashing with discriminative sample mining for supervised cross-modal retrieval
Exploring smart phone improvements based on a hybrid MCDM model
Process mining techniques and applications - A systematic mapping study
Intelligent conversation system using multiple classification ripple down rules and conversational context
Integrating MultiWordNet with Italian Sign Language lexical resources
Feature selection based on dynamic crow search algorithm for high-dimensional data classification
Segmentation-based heart sound feature extraction combined with classifier models for a VSD diagnosis system
Automated end-user behaviour assessment tool for remote product and system testing
Risk assessment for highway projects using jackknife technique
A bio-inspired optimization for inferring interactive networks: Cockroach swarm evolution
Statistical analysis of mammographic features and its classification using support vector machine
AEGraph: Node attribute-enhanced graph encoder method
Camera model identification based on dual-path enhanced ConvNeXt network and patches selected by uniform local binary pattern
LLM-based semantic integration of stimulus-response pairs for depression detection in interview scenarios
A novel dice similarity measure for IFSs and its applications in pattern and face recognition
Design of an evolving Fuzzy-PID controller for optimal trajectory control of a 7-DOF redundant manipulator with prioritized sub-tasks
Grouping of TRIZ Inventive Principles to facilitate automatic patent classification
Variable Neighborhood Search for precedence-constrained tasks optimization on heterogeneous systems
Tens-embedding: A Tensor-based document embedding method
Applying conjoint analysis to evaluate consumer preferences toward subcompact cars
A system for extracting and comparing memes in online forums
Attention-based CNN for lithological identification from logging curves: A case study in the Qaidam Basin, China
The classification of Iranian wheat flour varieties using FT-MIR spectroscopy and chemometrics methods
Double-assistant evolutionary multitasking algorithm for enhanced electric vehicle routing with backup batteries and battery swapping stations
Multi-objective PSO algorithm for mining numerical association rules without a priori discretization
A metaheuristic algorithm and simulation to study the effect of learning or tiredness on sequence-dependent setup times in a parallel machine scheduling problem
Computationally efficient Complete-Sampling-based fault tree analyses for seismic probabilistic safety assessment of nuclear facilities
Mining association rules procedure to support on-line recommendation by customers and products fragmentation
Detecting rapid eye movement sleep using a single EEG signal channel
Global footstep planning with greedy and heuristic optimization guided by velocity for biped robot
Wavelet local binary patterns fusion as illuminated facial image preprocessing for face verification
ProxyLabel: A framework to evaluate techniques for survey fatigue reduction leveraging auxiliary modalities
CausalFall: Fall prediction wearing motion sensors from a causal perspective
Learning alternative ways of performing a task
Constructing detection knowledge for DDoS intrusion tolerance
A novel Parallel Cooperative Mean-Teacher framework (PCMT) combined with prediction uncertainty guide and class contrastive learning for semi-supervised polyp segmentation
Genetic transfer learning
A solution to reconstruct cross-cut shredded text documents based on constrained seed K-means algorithm and ant colony algorithm
Cluster-guided denoising graph auto-encoder for enhanced traffic data imputation and fault detection
A stable soft sensor based on causal inference and graph convolutional network for batch processes
Interpretable classifier design by axiomatic fuzzy sets theory and derivative-free optimization
Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images
Stock portfolio optimization for risk-averse investors: A novel hybrid possibilistic and flexible robust approach
Constrained Portfolio Selection using Particle Swarm Optimization
Ontology mapping composition for query transformation on distributed environments
A feature cross-fusion HGCN based on feature distillation denoising for fault diagnosis of helicopter tail drive system
Regenerating vital facial keypoints for impostor identification from disguised images using CNN
Intention mining and intention reshaping: surfacing deep intentions by proactive visuals to morph them into new intentions
Empirical study of outlier impact in classification context
Towards greener petrochemical production: Two-stage network data envelopment analysis in a fully fuzzy environment in the presence of undesirable outputs
Automated localization and severity period prediction of myocardial infarction with clinical interpretability based on deep learning and knowledge graph
Geo-spatial intelligence for searching and rescuing man overboard incidents using an artificial neural network: An empirical study of the Royal Thai Navy in the Gulf of Thailand
Competitive positioning and performance assessment in the construction industry
A hybrid classification method using error pattern modeling
Designing and evaluating a wearable device for affective state level classification using machine learning techniques
HyGate-GCN: Hybrid-Gate-Based Graph Convolutional Networks with dynamical ratings estimation for personalized POI recommendation
Program of actions (PoA): Interactive semantic action parser as more powerful dialogue state tracker through code generation
Is AI testing beneficial for the manufacturer and social welfare? Optimal test strategy of a smart product
Wave-PCT: Wavelet point cloud transformer for point cloud quality assessment
Multi-objective trajectory planning of humanoid robot using hybrid controller for multi-target problem in complex terrain
High-Resolution neural attenuation field for industrial computed tomography
Wood broken defect detection with laser profilometer based on Bi-LSTM network
Enabling cognitive and unified similarity-based difficulty ranking mechanisms for AQG on multimedia content
MGCoT: Multi-Grained Contextual Transformer for table-based text generation
ANZIL: Attention-based network for zero-risk inspection of LiDAR point cloud in self-driving cars
Conflict-sensitivity contexture learning algorithm for mining interesting patterns using neuro-fuzzy network with decision rules
An attention-based CNN for automatic whole-body postural assessment
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Towards bias-aware visual question answering: Rectifying and mitigating comprehension biases
A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network
User profile constructed by multiple attributes for optimizing linguistic steganalysis in social networks
A risk identification model for ICT supply chain based on network embedding and text encoding
A multi-objective intelligent water drop algorithm to minimise cost Of goods sold and time to market in logistics networks
A survey of phishing attacks: Their types, vectors and technical approaches
Model visualization: Combining context-based graph and tree representations
Link prediction in multilayer networks using weighted reliable local random walk algorithm
Verification and validation of an intelligent tutorial system
Machine learning techniques for business blog search and mining
A design of granular fuzzy classifier
Standard and mean deviation methods for linguistic group decision making and their applications
Social media-based COVID-19 sentiment classification model using Bi-LSTM
Adaptive sentiment-aware one-class collaborative filtering
Application of fuzzy logic for the integration of environmental criteria in ecodesign
A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity
A stochastic primal-dual algorithm for composite optimization with a linear operator
Enhance tree-seed algorithm using hierarchy mechanism for constrained optimization problems
Optimization of a passive vibration absorber for a barrel using the genetic algorithm
In-air signature verification system using Leap Motion
Fuzzy support vector regression machine with penalizing Gaussian noises on triangular fuzzy number space
Assisting novice software designers by an expert designer agent
Multi-hop reasoning over sparse knowledge graphs with deep reinforcement learning
A Retrospective Evaluation of Pandemic Policy Impact on University Campus: An Agent-based Modeling Approach for Mobility, Disease Propagation, and Testing During COVID-19
GCSTormer: Gated swin transformer with channel weights for image denoising
A hierarchical design of case-based reasoning in the balanced scorecard application
Finger-vein pattern identification using principal component analysis and the neural network technique
Addressing voice recording replications for Parkinson's disease detection
Automatic scale estimation for music score images
Extreme learning machine optimized by whale optimization algorithm using insulated gate bipolar transistor module aging degree evaluation
Enhancing mammogram classification using explainable Conditional Self-Attention Generative Adversarial Network
HaluGNN: Hallucination detection in large language models using graph neural network
Two-stage additive network DEA: Duality, frontier projection and divisional efficiency
Network-based innovation systems: A capital base for the Monterrey city-region, Mexico
Visual Analytics for model-based medical image segmentation: Opportunities and challenges
A distribution-free method for process monitoring
Fuzzy VIKOR with an application to water resources planning
Quality control of crowdsourced classification using hierarchical class structures
Transformer-based deep learning model for predicting osteoporosis in patients with cervical cancer undergoing external-beam radiotherapy
Implementation of intrusion detection model for DDoS attacks in Lightweight IoT Networks
Guiding LLMs to decode text via aligning semantics in EEG signals and language
Deep learning, numerical, and experimental methods to reveal hydrodynamics performance and cavitation development in centrifugal pump
Evolutionary constrained optimization with hybrid constraint-handling technique
Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution
A highly accurate firefly based algorithm for heart disease prediction
Optimization evaluation model of student dormitory design scheme based on multiple evaluation principles
Distributed adaptive containment control of networked flexible-joint robots using neural networks
Efficient imputation of missing data using the information of local space defined by the geometric one-class classifier
A meta-analysis of supervised and unsupervised machine learning algorithms and their application to active portfolio management
Semantic Web service discovery using natural language processing techniques
ACA-Net: Adaptive cloud-aware network for remote sensing image thick cloud removal
InvaderDefender: Multimodal recognition of invasive alien species via a large language model with vision-guided targeted RAG
Determination of freeze-drying behaviors of apples by artificial neural network
A hybrid machine-learning and optimization method to solve bi-level problems
Named entity recognition for extracting concept in ontology building on Indonesian language using end-to-end bidirectional long short term memory
Feature selection with a measure of deviations from Poisson in text categorization