yusuke1997/dblp-id-title huggingface dataset:
An efficient approach for mining cross-level closed itemsets and minimal association rules using closed itemset lattices
Agent-based platform to support the execution of parallel tasks
Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions
An expert system for assessing the technical and economic risk of pipe rehabilitation options
Maximum likelihood and maximum product of spacings estimations for the parameters of skew-normal distribution under doubly type II censoring using genetic algorithm
Constructive and composite heuristics for the 2-stage assembly scheduling problem with periodic maintenance and makespan objective
Beyond structural balance: Imbalance-aware embedding for signed networks
SimVGNets: Similarity-Based Visibility Graph Networks for Carbon Price Forecasting
Fault diagnosis model based on Gaussian support vector classifier machine
User project planning in social and medico-social sector: Models and solution methods
An effective two-stage algorithm based on convolutional neural network for the bi-objective flexible job shop scheduling problem with machine breakdown
Self-supervised learning-based two-phase flow regime identification using ultrasonic sensors in an S-shape riser
EL-Net: An efficient and lightweight optimized network for object detection in remote sensing images
Decision support system based on hierarchical co-evolutionary fuzzy approach: A case study in detecting gamma ray signals
MMAF-Net: Multi-view multi-stage adaptive fusion for multi-sensor 3D object detection
Two learning approaches for a rule-based intuitive reasoner
Solving the reliability-oriented generalized assignment problem by Lagrangian relaxation and Alternating Direction Method of Multipliers
Crane collision modelling using a neural network approach
A hybrid model based on modular neural networks and fuzzy systems for classification of blood pressure and hypertension risk diagnosis
An integrated local search method for inventory and routing decisions
Valued outranking relation-based heterogeneous multi-decision multigranulation probabilistic rough set and its use in medical decision-making
Discovering generalized design knowledge using a multi-objective evolutionary algorithm with generalization operators
Exploring deep learning-based content-based video retrieval with Hierarchical Navigable Small World index and ResNet-50 features for anomaly detection
A multi-attribute group decision-making method based on data envelopment analysis under parallel expert evaluation system
Affective product form bionic design based on functional analysis
A hierarchical evolutionary algorithm for automatic medical image segmentation
Z hesitant fuzzy linguistic term set and their applications to multi-criteria decision making problems
cubremot: A tool for building model-based trees for ordinal responses
Intra-hour photovoltaic power point-interval prediction using a dual-view deep neural network
A parallel convolution attention and temporal sequence attention neural network approach for ocean current prediction incorporating spatial-temporal coupling mechanism
A hybrid differential evolution method for dynamic economic dispatch with valve-point effects
Fusion of edge detection and graph neural networks to classifying electrocardiogram signals
Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems
A steganography embedding method based on edge identification and XOR coding
Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective
ReDDIT: Regret detection and domain identification from text
Integration of analytic hierarchy process and data envelopment analysis for assessment and optimization of personnel productivity in a large industrial bank
Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images
Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation
The complex fuzzy system forecasting model based on fuzzy SVM with triangular fuzzy number input and output
A patent registration and trading system based on blockchain
Enhancing deep learning sentiment analysis with ensemble techniques in social applications
Deep sentiment analysis: Mining the causality between personality-value-attitude for analyzing business ads in social media
An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems
Transfer learning-based sparse-reward meta-Q-learning algorithm for active SLAM
A fuzzy cluster-validity index based on the topology structure and node attribute in complex networks
CD-CARS: Cross-domain context-aware recommender systems
A method for combining mutual information and canonical correlation analysis: Predictive Mutual Information and its use in feature selection
Optimization approaches to support the planning and analysis of travel itineraries
AAGNN: Adaptive Airport Graph Neural Network for flight sequence prediction
Contextual-aware terrain segmentation network for navigable areas with triple aggregation
Toward intelligent open-ended questions evaluation based on predictive optimization
PV-DAE: A hybrid model for deceptive opinion spam based on neural network architectures
Achieving quality assurance functionality in the food industry using a hybrid case-based reasoning and fuzzy logic approach
Solving traveling salesman problem using hybridization of rider optimization and spotted hyena optimization algorithm
Big Data with deep learning for benchmarking profitability performance in project tendering
Exploring groups of opinion spam using sentiment analysis guided by nominated topics
A probabilistic linguistic dominance score method considering individual semantics and psychological behavior of decision makers
W-Net: A boundary-enhanced segmentation network for stroke lesions
Enhancement of the power quality of DFIG-based dual-rotor wind turbine systems using fractional order fuzzy controller
FRAIPA: A fast recommendation approach with improved prediction accuracy
An artificial bee colony algorithm with a cumulative covariance matrix mechanism and its application in parameter optimization for hearing loss detection models
A new approach to portfolio selection based on forecasting
Knowledge map construction for question and answer archives
A nondominated sorting genetic algorithm solution for shortest path routing problem in computer networks
Spiral Gaussian mutation sine cosine algorithm: Framework and comprehensive performance optimization
Mining information users' knowledge for one-to-one marketing on information appliance
Deep transfer learning approach for digital circuits vulnerability analysis
Unsupervised topic discovery in micro-blogging networks
cosGCTFormer: An end-to-end driver state recognition framework
Heart sound classification based on scaled spectrogram and tensor decomposition
Towards personalized recommendation by two-step modified Apriori data mining algorithm
A new fuzzy dempster MCDM method and its application in supplier selection
An improvement by introducing LBFGS idea into the Adam optimizer for machine learning
Improved inverse halftoning using vector and texture-lookup table-based learning approach
VCR: Virtual community recommender using the technology acceptance model and the user's needs type
An utility range-based similar product recommendation algorithm for collaborative companies
A collaborative filtering method based on artificial immune network
Metaheuristic algorithms for a sustainable agri-food supply chain considering marketing practices under uncertainty
Region clustering based fingerprint model for flexible Wi-Fi fingerprinting
A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers
Deep Entropy-Learning based virtual inertia control for VRFB regulation considering Phase-Locked loop dynamics
EAFL: Equilibrium Augmentation Mechanism to Enhance Federated Learning for Aspect Category Sentiment Analysis
Adaptive neuro fuzzy controller for adaptive compliant robotic gripper
Application of strategic fuzzy games to wage increase negotiation and decision problems
Assessing the effectiveness of ensembles in Speech Emotion Recognition: Performance analysis under challenging scenarios
CDRGN-SDE: Cross-Dimensional Recurrent Graph Network with neural Stochastic Differential Equation for temporal knowledge graph embedding
A multi-distance co-selection evolutionary algorithm for many-objective optimization
Analysis of traffic accident causes based on data augmentation and ensemble learning with high-dimensional small-sample data
An expert system for multi-criteria decision making using Dempster Shafer theory
EPK-CLIP: External and Priori Knowledge CLIP for action recognition
Enhancing active disturbance rejection design via deep reinforcement learning and its application to autonomous vehicle
CloudID: Trustworthy cloud-based and cross-enterprise biometric identification
An evolving approach for fault diagnosis of dynamic systems
Differentially private user-based collaborative filtering recommendation based on k-means clustering
Smart TOPSIS: A Neural Network-Driven TOPSIS with Neutrosophic Triplets for Green Supplier Selection in Sustainable Manufacturing
Classification method using fuzzy level set subgrouping
A fuzzy neural network for item sequencing in personalized cognitive scaffolding with adaptive formative assessment
An efficient column generation approach for crew re-scheduling and recovery in urban rail transit systems under emergency conditions
LLM-based exploration and analysis of real-time and historical blockchain data
Goals description and application in migrating workflow system
An automated system for epilepsy detection using EEG brain signals based on deep learning approach
Random sampling with fuzzy replacement
ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment
Improving prediction efficiency of Chinese stock index futures intraday price by VIX-Lasso-GRU Model
Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development
A perceptual measure of trade shows using fuzzy quality deployment development
Learning feature alignment across attribute domains for improving facial beauty prediction
On the elicitation of criteria weights in PROMETHEE-based ranking methods for a mobile application
Operating rules classification system of water supply reservoir based on Learning Classifier System
An efficient wavelet-tree-based watermarking method
Discriminative dictionary learning for local LV wall motion classification in cardiac MRI
An interactive method using genetic algorithm for multi-objective optimization problems modeled in fuzzy environment
Combinatorial lower bounds for the Generalized Traveling Salesman Problem with Neighborhoods
ISTS: Implicit social trust and sentiment based approach to recommender systems
An optical flow-based method for condition-based maintenance and operational safety in autonomous cleaning robots
Audiovisual speaker indexing for Web-TV automations
A recommendation approach for consuming linked open data
Risk analysis of real-time reservoir scheduling decisions based on probabilistic inflow process forecasting
Performance analysis of fractional order fuzzy PID controllers applied to a robotic manipulator
ReaCo-KGC: a reasoning-enhanced and interaction-corrective framework based on large language models for knowledge graph completion
Qualifying and raising anti-money laundering alarms with deep learning
IdentityRank: Named entity disambiguation in the news domain
ORACM: Online region-based active contour model
New robot navigation algorithm for arbitrary unknown dynamic environments based on future prediction and priority behavior
An adaptive differential evolution with opposition-learning based diversity enhancement
A novel decision-making method using R -Norm concept and VIKOR approach under picture fuzzy environment
Online group streaming feature selection based on fuzzy neighborhood granular ball rough sets
Risk contagion in interbank lending networks: A multi-agent-based modeling and simulation perspective
Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network
Efficient token pruning in Vision Transformers using an attention-based Multilayer Network
Cooperative meta-heuristic algorithms for global optimization problems
An efficient pattern growth approach for mining fault tolerant frequent itemsets
A three-stage approach for modeling multiple time series applied to symbolic quartile data
Cost-sensitive boosting neural networks for software defect prediction
Intelligent failure prediction models for scientific workflows
Evaluation of the criteria and effectiveness of distance e-learning with consistent fuzzy preference relations
Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks
A set of ontology design patterns for reengineering SBVR statements into OWL/SWRL ontologies
A new graphical modelling and nearest neighborhood search algorithm for resource-constrained project scheduling problem with multi-skill staff
A biologically inspired separable learning vision model for real-time traffic object perception in Dark
A real-time detection framework for surface defects in ceramic tableware based on deep learning
Bayesian network based probabilistic weighted high-order fuzzy time series forecasting
Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems
Corporate ESG rating prediction based on XGBoost-SHAP interpretable machine learning model
A new technique with improved control quality of nonlinear systems using an optimized fuzzy logic controller
Fuzzy Quantile Linear Regression Model Adopted with a Semi-Parametric Technique based on Fuzzy Predictors and Fuzzy Responses
Decoupled sliding-mode controller based on time-varying sliding surfaces for fourth-order systems
Lens-imaging learning Harris hawks optimizer for global optimization and its application to feature selection
Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization
Effective multi-crop disease detection using pruned complete concatenated deep learning model
Hierarchical level fault detection and diagnosis of ship engine systems
Determining the final priority ratings of customer requirements in product planning by MDBM and BSC
A reference ontology for profiling scholar's background knowledge in recommender systems
Optimization of computer aided detection systems: An evolutionary approach
Mortality prediction using data from wearable activity trackers and individual characteristics: An explainable artificial intelligence approach
Learning-based hybrid control for hydrogen-powered fuel cell bus in entire route with complex traffic dynamics
Case-based myopic reinforcement learning for satisfying target service level in supply chain
Dynamic prior probability network for long-tailed visual recognition
EARNet: Error-Aware Reconstruction Network for no-reference image quality assessment
An empirical analysis of the cardinality constrained expectile-based VaR portfolio optimization problem
A hybrid HFACS model using DEMATEL-ORESTE method with linguistic Z-number for risk analysis of human error factors in the healthcare system
Comparison of four different time series methods to forecast hepatitis A virus infection
PolyHope: Two-level hope speech detection from tweets
Hallucinated-PQA: No reference point cloud quality assessment via injecting pseudo-reference features
Leveraging Large Language Model ChatGPT for enhanced understanding of end-user emotions in social media feedbacks
Retraction notice to "Investigating the efficiency in oil futures market based on GMDH approach" [Expert Systems with Applications 36 (2009) 7479-7483]
Case-based reasoning system for fault diagnosis of aero-engines
Extending market basket analysis with graph mining techniques: A real case
Long-Range attack detection on permissionless blockchains using Deep Learning
Causal maps in the analysis and unsupervised assessment of the development of expert knowledge: Quantification of the learning effects for knowledge management purposes
Deep-HR: Fast heart rate estimation from face video under realistic conditions
A personalized English learning recommender system for ESL students
A space-embedding strategy for anomaly detection in multivariate time series
Optimisation of fishing predictions by means of artificial neural networks, anfis, functional networks and remote sensing images
A local experts organization model with application to face emotion recognition
Classifier ensemble reduction using a modified firefly algorithm: An empirical evaluation
Using partial least squares and support vector machines for bankruptcy prediction
Enhancing healthcare in the digital era: A secure e-health system for heart disease prediction and cloud security
Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange
Comparing classification techniques for predicting essential hypertension
An effective hashing method using W-Shaped contrastive loss for imbalanced datasets
A comparison of fuzzy DEA and fuzzy TOPSIS in sustainable supplier selection: Implications for sourcing strategy
StaC: Stacked chaining for multi-label classification
An ontology-based approach to conflict resolution in Home and Building Automation Systems
Resource scheduling optimization for industrial operating system using deep reinforcement learning and WOA algorithm
A POI group recommendation method in location-based social networks based on user influence
Proposing an interactive speaking improvement system for EFL learners
A second-order cone programming formulation for nonparallel hyperplane support vector machine
Piecewise regression analysis through information criteria using mathematical programming
Equity warrants pricing model under Fractional Brownian motion and an empirical study
Fault-tolerant tile mining
An efficient vision transformer-based 3D adaptive residual densenet with gated recurrent unit for early detection of alzheimer disease from magnetic resonance imaging
One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer
DCCN: A dual-cross contrastive neural network for 3D point cloud representation learning
Folksonomy-based fuzzy user profiling for improved recommendations
UASeg: Uncertainty aware weakly supervised semantic segmentation for autonomous driving
A new modular neural network approach with fuzzy response integration for lung disease classification based on multiple objective feature optimization in chest X-ray images
Adaptive gated meta graph retention network: A model for urban traffic flow prediction
Feedback linearization control of a two-link robot using a multi-crossover genetic algorithm
A framework for validating the merit of properties that predict the influence of a twitter user
Meta-heuristics implementation for scheduling of trucks in a cross-docking system with temporary storage
MSER: Multimodal speech emotion recognition using cross-attention with deep fusion
Adaptive energy management for battery swapping stations using HMDE-PSO: optimizing charge-discharge control against cyber-physical attacks
Early prostate cancer diagnosis by using artificial neural networks and support vector machines
DHCF-Net: Dual heterodimensional context fusion network for medical image segmentation
Privacy-preserving credit evaluation system based on blockchain
Conjunctive combination of belief functions from dependent sources using positive and negative weight functions
DENS-ECG: A deep learning approach for ECG signal delineation
A prediction scheme using perceptually important points and dynamic time warping
Pricing decisions with retail competition in a fuzzy closed-loop supply chain
Landslide susceptibility classification using multi hive artificial bee colony programming: A novel symbolic regression framework
An efficient binary social spider algorithm for feature selection problem
A heterogeneous agent reinforcement learning approach with curriculum learning for variable speed limit control
Identification time-delayed fractional order chaos with functional extrema model via differential evolution
Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern
Enhanced multi-verse optimizer for task scheduling in cloud computing environments
Twitter rumour detection in the health domain
Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization
Flexible job-shop scheduling and heterogeneous repairman assignment with maintenance time window and employee timetable constraints
Key factors for the successful evaluation and screening of managers of the intellectual property rights speciality
Adaptive local neighborhood search and dual attention convolution network for complex semantic segmentation towards indoor point clouds
An online automatic carbide insert high-resolution surface defect detection system based on template-guided model
A literature review of implemented recommendation techniques used in Massive Open online Courses
Speaker identification based on the frame linear predictive coding spectrum technique
A framework to predict early news popularity using deep temporal propagation patterns
Nonparametric classification based on local mean and class statistics
Consistency knowledge distillation based on similarity attribute graph guidance
Revolutionizing gear hobbing machine precision: Innovative thermal error compensation and intelligent error control with enhanced crystal structure algorithm and self-attention bidirectional minimal gated unit network
Bare-bones multi-scale quantum harmonic oscillator algorithm for global optimization
Comprehensive application of denoising diffusion probabilistic models towards the automation of analog integrated circuit sizing
ID-NeRF: Indirect diffusion-guided neural radiance fields for generalizable view synthesis
Erratum to "A Novel Approach to Supplier Selection based on Vague Sets Group Decision" [Expert Systems with Applications 36 (5) (2009) 9557-9563]
HIFCF: An effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis
Tab-Text: Bridging tabular data and natural language for enhanced traffic safety analysis and modeling
Examining Pareto optimality in analytic hierarchy process on real Data: An application in public transport service development
A Q-learning-driven evolutionary algorithm for energy-aware flexible job shop scheduling with preventive maintenance and finite AGVs
A new customer-oriented multi-task scheduling model for cloud manufacturing considering available periods of services using an improved hyper-heuristic algorithm
An influence-knot set based new local refinement algorithm for T-spline surfaces
Optical-flow-based framework to boost video object detection performance with object enhancement
Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces
Multi-layer and multi-directional image encryption algorithm based on hyperchaotic 3D Xin-She Yang map
SWAM: A logic-based mobile agent programming language for the Semantic Web
Automatic knowledge acquisition tool for irrigation and fertilization expert systems
A cascaded classification approach to disambiguating polysemous mentions with social chains
Market-consistent economic scenario generation system for treasury bond yields with the Smith-Wilson method
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection
DeepFEA: Deep learning for prediction of transient finite element analysis solutions
Condition-CNN: A hierarchical multi-label fashion image classification model