yusuke1997/dblp-id-title huggingface dataset:
A novel nonlinear programming approach for estimating CAPM beta of an asset using fuzzy regression
Some issues on properties of the extended IOWA operators in fuzzy group decision making
A privacy-preserving resilient algorithm for multi-agent cooperative optimization to defend against both Byzantine and eavesdropping attacks
Corrigendum to "Development of a boundary assigned animal migration optimization algorithm and its application to optimal power flow study" [Expert Syst. Appl. 200 (2022) 116776]
Diagnosis of gastrointestinal disorders using DIAGNET
A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks
Using genetic algorithm to support portfolio optimization for index fund management
CL-TrackNet: A Hybrid CNN-LSTM Hetwork for Tractography
Evolution of visual data captioning Methods, Datasets, and evaluation Metrics: A comprehensive survey
Generalization performance of support vector machines and neural networks in runoff modeling
A multi-stage LSTM federated forecasting method for multi-loads under multi-time scales
Detecting credit card fraud by Modified Fisher Discriminant Analysis
Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies
Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets
Visitors of two types of museums: A segmentation study
Uncertainty-aware ensemble model for stride length estimation in gait analysis
An EEG based familiar and unfamiliar person identification and classification system using feature extraction and directed functional brain network
Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation
Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis
Detecting anomalies in X-ray diffraction images using convolutional neural networks
DeSAO: A new approach for De Novo Drug using Simulated Annealing Optimization
Multi-graph regularized non-negative tucker decomposition and its semi-supervised extension for image clustering
Clustering by communication with local agents for noise and multiple partial Discharges discrimination
Incorporating resting state dynamics in the analysis of encephalographic responses by means of the Mahalanobis-Taguchi strategy
Digital financial asset price fluctuation forecasting in digital economy era using blockchain information: A reconstructed dynamic-bound Levenberg-Marquardt neural-network approach
Integration of aggressive bound tightening and Mixed Integer Programming for Cost-sensitive feature selection in medical diagnosis
Oblique Decision Tree Ensemble via Twin Bounded SVM
Strategic alliances and partnerships based on the semi-additive production technology in DEA
A machine learning and clustering-based methodology for the identification of lead users and their needs from online communities
Central-peripheral nervous system activation in exoskeleton modes: A Granger causality analysis via EEG-EMG fusion
Selection of spectral features for land cover type classification
MGC: A modal mapping coupling and gate-driven contrastive learning approach for multimodal intent recognition
A heuristic method based on genetic algorithm for the baseline-product design
A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
Mining top-k frequent closed itemsets over data streams using the sliding window model
The slack-based measure model based on supporting hyperplanes of production possibility set
A review of surrogate-assisted evolutionary algorithms for expensive optimization problems
Corrigendum to "Self-adaptive statistical process control for anomaly detection in time series" [Expert Systems With Applications 57 (2016) 324-336]
Classification of painting styles based on the difference component
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation
Integer programming approach and application of reformulation-linearization technique to liver exchange problem
OCREN: A countermeasure for ADS-B attacks in the context of air traffic control
Vehicle trajectory extraction with interacting multiple model for low-channel roadside LiDAR
Prediction of surface roughness in the end milling machining using Artificial Neural Network
Robust control charts for time series data
Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey
Fuzzy complexity assessment model for resource negotiation and allocation in agent-based software testing framework
Applying option Greeks to directional forecasting of implied volatility in the options market: An intelligent approach
Research on self-collected UAV forage hyperspectral imagery based on three-dimension auto-encoding multi-scale feature extraction
Genetic optimization of a vehicle fuzzy decision system for intersections
Improved salient object detection using hybrid Convolution Recurrent Neural Network
Bi-objective stochastic model for the design of biofuel supply chains incorporating risk
SuKE: Structural Knowledge Extractor enhances large language model for knowledge graph completion
Process capability analyses with fuzzy parameters
ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals
Simulation based Scheduling of multiple change propagations in multistage product development processes
Active semi-supervised learning with multiple complementary information
Active function Cross-Entropy Clustering
Constructing a novel mortality prediction model with Bayes theorem and genetic algorithm
VCNI - Applying value theory to contextual needs identification in proactive elderly care
Chain code strategy for lossless storage and transfer of segmented binary medical data
Learning and ensemble based MPC with differential dynamic programming for nuclear power autonomous control
Estimation of bladder muscle invasion in transitional cell carcinoma by using artificial neural networks: A study based on prebiopsy imaging findings
Novelty detection and multi-class classification in power distribution voltage waveforms
Stochastic-control multi-attribute preference learning with sparse reviews
Annular finite-time stability for IT2 fuzzy networked switched system via non-fragile AETS under multiple attacks: Application to tank reactor chemical process model
OEINR-RFH: Outlier elimination based iterative neighbor representation for robust face hallucination
Scatter search for mixed blocking flowshop scheduling
Prediction of energy's environmental impact using a three-variable time series model
A water-land-energy-carbon nexus evaluation of agricultural sustainability under multiple uncertainties: The application of a multi-attribute group decision method determined by an interval-valued intuitionistic fuzzy set
SGCSumm: An extractive multi-document summarization method based on pre-trained language model, submodularity, and graph convolutional neural networks
Audio-visual speech recognition based on regulated transformer and spatio-temporal fusion strategy for driver assistive systems
Optimization of integrated accurate ride-tide planning and vessel scheduling in multi-functional ports with long channels
Analysis of sentiment in tweets addressed to a single domain-specific Twitter account: Comparison of model performance and explainability of predictions
A hybrid neuro-experimental decision support system to classify overconfidence and performance in a simulated bubble using a passive BCI
Elucidating clinical context of lymphopenia by nonlinear modelling
An improved lightweight small object detection framework applied to real-time autonomous driving
Assessing airborne transmission of foot and mouth disease using fuzzy logic
A group trust metric for identifying people of trust in online social networks
A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis
UltraSAM: A foundational medical ultrasound segmentation model with limited training data
A reliability-based consensus model and regret theory-based selection process for linguistic hesitant-Z multi-attribute group decision making
Predicting routability of FPGA design by learning complex network images
Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem
PAV: A novel model for ranking heterogeneous objects in bibliographic information networks
Decision support system for service quality management using customer knowledge in public service organization
Image retrieval using unsupervised prompt learning and regional attention
Advanced formation and delivery of traffic information in intelligent transportation systems
Design and implementation of an expert interface system for integration of photogrammetric and Geographic Information Systems for intelligent preparation and structuring of spatial data
The evaluation of consumer loans using support vector machines
Retraction notice to "Data-driven model predictive control for real-time planned lead time optimization in a reconfigurable flow line" [Expert Syst.. Appl. 238 (2024) 122137]
Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities
A unified hierarchical attention framework for sequential recommendation by fusing long and short-term preferences
Decision-making in a single-period inventory environment with fuzzy demand
Polarization-enhanced GFNet for glint-influenced water surface object segmentation
Analysis of evolutionary techniques for the automated implementation of digital circuits
A CBR for integrating sentiment and stress analysis for guiding users on social network sites
Enhancing accessibility of web-based SVG buttons: An optimization method and best practices
APM: Adaptive parameter multiplexing for class incremental learning
Stamantic clustering: Combining statistical and semantic features for clustering of large text datasets
Evaluating the feasibility of blockchain in logistics operations: A decision framework
Artificial intelligence-based sampling planning system for dynamic manufacturing process
Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings
A novel mechanical fault diagnosis for high-voltage circuit breakers with zero-shot learning
Rumor detection based on propagation graph neural network with attention mechanism
A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer
Service failure and consumer switching behaviors: Evidence from the insurance industry
Elite neighborhood search and dynamic feature probability-guided crow search algorithm for high-dimensional feature selection
Static code analyzer recommendation via preference mining
Text proposals with location-awareness-attention network for arbitrarily shaped scene text detection and recognition
A proximal policy optimization approach for food delivery problem with reassignment due to order cancellation
Cross-domain document layout analysis using document style guide
Evaluation of recommender systems: A new approach
A fuzzy logic based approach for modeling quality and reliability related customer satisfaction in the automotive domain
A machine learning-based multiclass classification model for bee colony anomaly identification using an IoT-based audio monitoring system with an edge computing framework
Fingerprint indexing for wrinkled fingertips immersed in liquids
A framework for benchmarking service process using data envelopment analysis and decision tree
A systematic review of software fault prediction studies
Financial supply chain analysis with borrower identification in smart lending platform
Towards interpretable stock trend prediction through causal inference
Max-min dispersion with capacity and cost for a practical location problem
Class distance weighted cross entropy loss for classification of disease severity
Anesthetic gas control with neuro-fuzzy system in anesthesia
Dynamic parallel machine scheduling with sequence-dependent setup times using an iterated greedy heuristic
OR2Net: Online Re-weighting Relation Network for kinship verification
Research on optimization design of the heating/cooling channels for rapid heat cycle molding based on response surface methodology and constrained particle swarm optimization
An approach to generate the bug report summaries using two-level feature extraction
Dimensionality reduction in data mining: A Copula approach
FeatureX: An explainable feature selection for deep learning
Safeguarding confidentiality and privacy in cloud-enabled healthcare systems with spectrasafe encryption and dynamic k-anonymity algorithm
Online updating belief rule based system for pipeline leak detection under expert intervention
Effects of the entropy weight on TOPSIS
CDRM: Controllable diffusion restoration model for realistic image deblurring
Automated extraction of extended structured motifs using multi-objective genetic algorithm
Discriminant analysis of binary data following multivariate Bernoulli distribution
Intra-sentence segmentation based on support vector machines in English-Korean machine translation systems
A novel efficient technique for extracting valid feature information
A Novel Framework for temporal knowledge graph reasoning with complex causal relations
Brain tumor classification from MRI images using exponential-Walruses hunting optimization driven SqueezeNet
Contact-free hand geometry-based identification system
Two ellipsoid Support Vector Machines
Personalized product configuration rules with dual formulations: A method to proactively leverage mass confusion
A comparative study on concept drift detectors
High-resolution traffic flow estimation for urban road network: incorporating traffic flow model into deep learning
Two-Tier genetic programming: towards raw pixel-based image classification
A self-generating fuzzy system with ant and particle swarm cooperative optimization
Two-stage attention network for fault diagnosis and retrieval of fault logs
Simulating collective intelligence of bio-inspired competing agents
Data-driven transmit weight matrix design method for target detection of the TS-FDA-MIMO radar
Student modeling for a web-based self-assessment system
Matching UML class models using graph edit distance
A multivariate approach for fuzzy prediction interval design and its application for a climatization system forecasting
WebPUM: A Web-based recommendation system to predict user future movements
Truth based three-tier Combinatorial Multi-Armed Bandit ecosystems for mobile crowdsensing
Cluster evolution analysis: Identification and detection of similar clusters and migration patterns
Centralized cooperative control for autonomous vehicles at unsignalized all-directional intersections: A multi-agent projection-based constrained policy optimization approach
Learning morphological maps of galaxies with unsupervised regression
A journey from normative to behavioral operations in supply chain management: A review using Latent Semantic Analysis
GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data
A surrogate-assisted evolutionary algorithm with solution sets classification based on inter-dimensional correlation and its applications
A comprehensive analysis of deception detection techniques leveraging machine learning
Decision-based fuzzy image restoration for noise reduction based on evidence theory
Considering the cascade threat in the food supply chain for the retailer's "blockchain & contamination prevention effort" strategic deployment
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing
Robust deep dictionary learning via self-expression neighbor atom enhancement
Single Classifier-based Multiple Classification Scheme for weak classifiers: An experimental comparison
License plate recognition system in unconstrained scenes via a new image correction scheme and improved CRNN
The circular discrete particle swarm optimization algorithm for flow shop scheduling problem
Improved response modeling based on clustering, under-sampling, and ensemble
Sparse identification of partial differential equations via collaborative ant colony optimization and physics-informed neural networks
Web mining and privacy concerns: Some important legal issues to be consider before applying any data and information extraction technique in web-based environments
Intangible cultural heritage image classification with multimodal attention and hierarchical fusion
Taming deep reinforcement learning-based conflict resolution in air traffic control using geometric technique
An efficient self-attention-based conditional variational auto-encoder generative adversarial networks based multipath cross-layer design routing paradigm for MANET
Causal discovery based on hierarchical reinforcement learning
Automatic self-reconstruction model for radio map in Wi-Fi fingerprinting
Order picking optimization in a robotic mobile fulfillment system
Erratum to "Taguchi-fuzzy multi output optimization (MOO) in high speed CNC turning of AISI P-20 tool steel" [Exp. Syst. Appl. 38(6) (2011) 6822-6828]
Worker's physical fatigue classification using neural networks
An integrated analytic approach for Six Sigma project selection
Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement
A proposed multi-objective model for cellphone closed-loop supply chain optimization based on fuzzy QFD
Integrated scheduling method for heavy-haul transportation with virtual coupling based on two-phase optimization strategy
Trajectory-based conflict investigations involving two-wheelers and cars at non-signalized intersections with computer vision
Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis
Effective message-passing scheme and aggregation technique embedded in graph-based encoder-decoder learning framework for trajectory prediction
A stock market trading system based on foreign and domestic information
A class-driven approach to dimension embedding
A lightweight residual network based on improved knowledge transfer and quantized distillation for cross-domain fault diagnosis of rolling bearings
Using a projection-based approach to mine frequent inter-transaction patterns
Unsupervised Vast-Receptive-Field attention for blind Super-Resolution
Particle swarm optimization with query-based learning for multi-objective power contract problem
SynCSE: syntax graph-based contrastive learning of sentence embeddings
Interval-valued (p,q,r)-spherical fuzzy sets and their applications in MCGDM and MCDM based on TOPSIS method and aggregation operators
Time-varying weight coefficients determination based on fuzzy soft set in combined prediction model for travel time
A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its application to sustainable suppliers selection
ALNet: An adaptive channel attention network with local discrepancy perception for accurate indoor visual localization
Feature aggregation network for small object detection
ISSP-tree: An improved fast algorithm for constructing a complete prefix tree using single database scan
Grey wolf optimizer based on Aquila exploration method
Multi-view clustering based on a multimetric matrix fusion method
Decision tree models for profiling ski resorts' promotional and advertising strategies and the impact on sales
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification
A heterogeneous GRA-CBR-based multi-attribute emergency decision-making model considering weight optimization with dual information correlation
Cross-city crash severity analysis with cost-sensitive transfer learning algorithm
Simulating judicial trial logic: Dual residual cross-attention learning for predicting legal judgment in long documents
Hash polynomial two factor decision tree using IoT for smart health care scheduling
Re-examining information systems user performance: Using data mining to identify properties of IS that lead to highest levels of user performance
Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework
A hybrid recommendation approach for a tourism system
Fault diagnosis in wind turbines based on ANFIS and Takagi-Sugeno interval observers
The impact of stock market price Fourier transform analysis on the Gated Recurrent Unit classifier model
An intelligent system for monitoring and diagnosis of the CO 2 capture process
Stochastic stability and bifurcation analysis on Hopfield neural networks with noise
Ensemble of on-line signature matchers based on OverComplete feature generation
MatCarloRe: An integrated FT and Monte Carlo Simulink tool for the reliability assessment of dynamic fault tree
Application of Lévy and sine cosine algorithm hunger game search in machine learning model parameter optimization and acute appendicitis prediction
Multi-dimensional particle swarm optimization in dynamic environments
Optimizing security and quality of service in a Real-time database system using Multi-objective genetic algorithm
An Angle-based Many-Objective evolutionary algorithm with Shift-based density estimation and sum of objectives
Time-varying hierarchical chains of salps with random weight networks for feature selection
A multi-agent optimization algorithm for resource constrained project scheduling problem
Multi-task few-shot text steganalysis based on context-attentive prototypes
Correlation of job-shop scheduling problem features with scheduling efficiency
On-line personalized sales promotion in electronic commerce
Theoretical and empirical analysis of filter ranking methods: Experimental study on benchmark DNA microarray data
A high-precision multi-arithmetic neural circuit for the efficient computation of the new filtered-X Kronecker product APL-NLMS algorithm applied to active noise control
Designing an expert system for fraud detection in private telecommunications networks
A comparative study of TF*IDF, LSI and multi-words for text classification
An iterative approach to enhanced traffic signal optimization
Hierarchical belief rule-based model for imbalanced multi-classification
A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives
Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic
Building a Knowledge Brokering System using social network analysis: A case study of the Korean financial industry
Analyze dynamic value of strategic partners using Markov chain
Comparison of new metaheuristics, for the solution of an integrated jobs-maintenance scheduling problem
A quantum-clustering optimization method for COVID-19 CT scan image segmentation
Aligning principal and agent's incentives: A principal-agent perspective of social networking sites
Integration of similarity measurement and dynamic SVM for electrically evoked potentials prediction in visual prostheses research
Multi-objective trajectory planning in the multiple strata drilling process:A bi-directional constrained co-evolutionary optimizer with Pareto front learning
Human-machine collaborative scoring of subjective assignments based on sequential three-way decisions
A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks
Anomaly detection based on graph neural networks incorporating with domain knowledge for industrial cyber-physical systems
Anomaly detection using a modified kernel-based tracking in the pantograph-catenary system
Application and performance analysis of neural networks for decision support in conceptual design
Double AMIS-ensemble deep learning for skin cancer classification
Deep learning with t -exponential Bayesian kitchen sinks