yusuke1997/dblp-id-title huggingface dataset:
Using neural network for forecasting TXO price under different volatility models
FSB-EA: Fuzzy search bias guided constraint handling technique for evolutionary algorithm
Interactive mining of top-K frequent closed itemsets from data streams
E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition
An evolutionary memetic algorithm for rule extraction
Toward the scalability of neural networks through feature selection
Image colour application rules of K'o-ssu based on machine learning algorithm
Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs
An analysis of DEMATEL approaches for criteria interaction handling within ANP
Short-term power load forecasting using grey correlation contest modeling
An expert system for acoustic diagnosis of power circuit breakers and on-load tap changers
Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment
Modelling user participation in organisations as networks
Parameter tuning for document image binarization using a racing algorithm
A methodology for photometric validation in vehicles visual interactive systems
Integration path coverage testing of the changing driver code guided by knowledge graph
Automated diagnosis of sewer pipe defects based on machine learning approaches
Stitching defect detection and classification using wavelet transform and BP neural network
An integrated data mining and behavioral scoring model for analyzing bank customers
An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers
From Neighbors to Partners: A quantum game model for analyzing collaborative environmental governance in China
Tree based searching approaches for integrated vehicle dispatching and container allocation in a transshipment hub
Shelf Management: A deep learning-based system for shelf visual monitoring
A bagging algorithm for the imputation of missing values in time series
A group decision making method to manage internal and external experts with an application to anti-lung cancer drug selection
Green vehicle routing in urban zones - A neuro-fuzzy approach
Using memetic algorithms with guided local search to solve assembly sequence planning
Decision tree analysis of construction fall accidents involving roofers
KNN-GNN: A powerful graph neural network enhanced by aggregating K-nearest neighbors in common subspace
Evolutionarily optimized features in functional link neural network for classification
Class label altering fuzzy min-max network and its application to histopathology image database
A neutral DEA model for cross-efficiency evaluation and its extension
Good versus bad knowledge: Ontology guided evolutionary algorithms
Accelerated Frequent Closed Sequential Pattern Mining for uncertain data
Writer Identification using Deep Learning with FAST Keypoints and Harris corner detector
RLMamba: Integrating residual learning with Mamba for long-term time series forecasting
Online multi-layer dictionary pair learning for visual classification
Tool condition monitoring using K-star algorithm
Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture
Parametric design and process parameter optimization for bra cup molding via response surface methodology
An optimal bivariate Poisson field chart for controlling high-quality manufacturing processes
A visualization metric for dimensionality reduction
Recognizing activities of daily living from UWB radars and deep learning
A deep cross-modal neural cognitive diagnosis framework for modeling student performance
Characteristics forecasting of hydraulic valve based on grey correlation and ANFIS
DL-Reg: A deep learning regularization technique using linear regression
Deep multi-view graph clustering network with weighting mechanism and collaborative training
Node-link representation-based deep learning method for reconstructing trabecular bone from low-resolution images
Two stages of case-based reasoning - Integrating genetic algorithm with data mining mechanism
An exact algorithm for Two-Echelon Location-Routing problem with simultaneous pickup and delivery
Optimizing replenishment polices using Genetic Algorithm for single-warehouse multi-retailer system
An efficient multi-objective HBMO algorithm for distribution feeder reconfiguration
A combined methodology for supplier selection and performance evaluation
A comparative study of three expert systems for blood pressure control
Optimization of module, shaft diameter and rolling bearing for spur gear through genetic algorithm
Supervised discriminative dimensionality reduction by learning multiple transformation operators
Credit scoring models for the microfinance industry using neural networks: Evidence from Peru
A logistic radial basis function regression method for discrimination of cover crops in olive orchards
Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study
IMPACT-Net: An integrated multi-scale and computation-efficient timely network for surface defect detection in industrial embedded systems
FMDL: Enhancing Open-World Object Detection with foundation models and dynamic learning
Modelling grey uncertainty with Fuzzy Grey Cognitive Maps
Integrating data transformation techniques with Hopfield neural networks for solving travelling salesman problem
A condition-driven hybrid GRU-GMCVAE framework for dynamic anomaly detection: Application to industrial petrochemical processes
Optimization of task scheduling and resource allocation for autonomous vehicle testing in vehicle-road-cloud collaborative systems
Enhancing adaptability and accelerating convergence in non-stationary reinforcement learning via GAN-Q-learning integration
Pharmacy robotic dispensing and planogram analysis using association rule mining with prescription data
Autonomous penetration testing using reinforcement learning: A review and perspectives
Transformation of smart-card-based single-purpose e-micropayment scheme to multi-purpose scheme: A case study
Fuzzy closed-loop supply chain models with quality and marketing effort-dependent demand
TrueDeep: A systematic approach of crack detection with less data
Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics
Owner name entity recognition in websites based on multiscale features and multimodal co-attention
Accelerating discoveries in medicine using distributed vector representations of words
DJIA stock selection assisted by neural network
Two-stage feature selection utilizing three-way adaptive neighborhood characteristic measure and optimal combination search
MFSR: A novel multi-level fuzzy similarity measure for recommender systems
Distributionally robust location-allocation models of distribution centers for fresh products with uncertain demands
Graph kernels based on linear patterns: Theoretical and experimental comparisons
Risk assessment of co-creating value with customers: A rough group analytic network process approach
Information diffusion through social networks: The case of an online petition
Tuning PID control parameters for micro-piezo-stage by using grey relational analysis
Constructing response model using ensemble based on feature subset selection
Genetic relation algorithm with guided mutation for the large-scale portfolio optimization
Deep learning-based activity-aware 3D human motion trajectory prediction in construction
Multilabel all-relevant feature selection using lower bounds of conditional mutual information
MemFormer: A memory based unified model for anomaly detection on metro railway tracks
Addressing multi-scale temporal variability: deep integration and application of the CNN and transformer model in monthly streamflow prediction
RAGE: A novel strategy for solving non-polynomial problems through the random generation of solutions and incremental reduction of the number of candidates: A case study applied to the design of the network infrastructure for connected vehicles
MCNR: Multiscale feature-based latent data component extraction linear regression model
A rule-based approach to proactive exception handling in business processes
Building the measurement framework of technology efficiency with technology development and management capability - Evidence from the ASEAN countries
Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information
Intelligent generative structural design method for shear wall building based on "fused-text-image-to-image" generative adversarial networks
A comparison of GARCH models for VaR estimation
Generalized fuzzy hypergraph for link prediction and identification of influencers in dynamic social media networks
Shared style linear k nearest neighbor classification method
A hybrid SEM-neural network analysis of social media addiction
Feature-driven machine learning to improve early diagnosis of Parkinson's disease
A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm
Color image encryption and authentication algorithm integrating computational ghost imaging with quaternion multi-parameter discrete fractional angular transform
GA-LP: A genetic algorithm based on Label Propagation to detect communities in directed networks
Recognition and detection of unusual activities in ATM using dual-channel capsule generative adversarial network
Imputation of data Missing Not at Random: Artificial generation and benchmark analysis
A new approach to recognizing the use of attitude markers by authors of academic journal articles
Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis
Topological pattern discovery and feature extraction for fraudulent financial reporting
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
Automatic artifact recognition and correction for electrodermal activity based on LSTM-CNN models
Corrigendum to "A group decision making sustainable supplier selection approach using extended topsis under interval-valued Pythagorean fuzzy environment" [Expert Systems with Applications 121 (2018) 1-17]
Joint production planning, pricing and retailer selection with emission control based on Stackelberg game and nested genetic algorithm
FXAM: A unified and fast interpretable model for predictive analytics
EEG based automated detection of auditory loss: A pilot study
Towards a federated and hybrid cloud computing environment for sustainable and effective provisioning of cyber security virtual laboratories
Measuring productive efficiency of horticultural greenhouses in Iran: A data envelopment analysis approach
DeepBatch : A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images
Cross-multi-modal seamless training for image captioning
A stock selection algorithm hybridizing grey wolf optimizer and support vector regression
An introduction to grey influence analysis (GINA): Applications to causal modelling in marketing and supply chain research
Provision of awareness of learners' emotions through visualizations in a computer interaction-based environment
Occlusion-robust method for RGB-D 6-DOF object tracking with particle swarm optimization
Power coefficient as a similarity measure for memory-based collaborative recommender systems
A novel top- n recommendation method for multi-criteria collaborative filtering
Improved adolescent identity search algorithm for block-based image compression
A direct predictive DC-link voltage control with warm-starting iterative approach for three-level NPC BTB converter fed PMSG-based wind turbine systems
Secret sharing approaches for 3D object encryption
On the impact of disproportional samples in credit scoring models: An application to a Brazilian bank data
Supply chain product visibility: Methods, systems and impacts
A statistical recommendation model of mobile services based on contextual evidences
Verifiable privacy-preserving association rule mining using distributed decryption mechanism on the cloud
Adaptive neural network control of DC-DC power converter
A hybrid similarity model for mitigating the cold-start problem of collaborative filtering in sparse data
Logistic regression in sealed-bid auctions with multiple rounds: Application in Korean court auction
A neural-network approach for an automatic LED inspection system
Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic
Hybrid model based on wavelet support vector machine and modified genetic algorithm penalizing Gaussian noises for power load forecasts
Hierarchical feature aggregation with mixed attention mechanism for single-cell RNA-seq analysis
SHINE: Synergizing transformers with contrastive learning for thriving rPPG-based SpO2 estimation
Using cross-domain knowledge augmentation to explore comorbidity in electronic health records data
Interpretable extractive text summarization with meta-learning and BI-LSTM: A study of meta learning and explainability techniques
Tea chrysanthemum detection under unstructured environments using the TC-YOLO model
Symbiotic filtering for spam email detection
Using fuzzy logic to implement decision policies in system dynamics models
An extended trust and distrust network-based dual fuzzy recommendation model and its application based on user-generated content
Multi-Hop Ridematching optimization problem: Intelligent chromosome agent-driven approach
Beyond Noise: A BERT-Enhanced framework for Intelligent product optimization via online review Analytics
A box-uncertainty in DEA: A robust performance measurement framework
FS-SCF network: Neural network interpretability based on counterfactual generation and feature selection for fault diagnosis
Markov multiple feature random fields model for the segmentation of brain MR images
Walrus optimizer: A novel nature-inspired metaheuristic algorithm
Online signature verification by continuous wavelet transformation of speed signals
A pseudo-label supervised graph fusion attention network for drug-target interaction prediction
Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization
Numerical optimization using synergetic swarms of foraging bacterial populations
Prov-Dominoes: An approach for knowledge discovery from provenance data
Optic disc and optic cup segmentation from retinal images using hybrid approach
Optimal non-exclusive trade-in rebates design for a profit-maximizing company
Improving the interest operator for face recognition
An explainable graph-based course recommendation model based on multiple interest factors
Collaborative trajectory representation for enhanced next POI recommendation
Review of the metaheuristic algorithms in applications: Visual analysis based on bibliometrics
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
SINet: Improving relational features in two-stage referring expression comprehension
Parkinson's Disease tremor classification - A comparison between Support Vector Machines and neural networks
A deep learning relation extraction approach to support a biomedical semi-automatic curation task: The case of the gluten bibliome
Self-supervised contrastive learning for itinerary recommendation
An integrated fuzzy decision support system for analyzing challenges and pathways to promote green and climate smart mining
Craziness-based PSO with wavelet mutation for transient performance augmentation of thermal system connected to grid
WOAD3QN-RP: An intelligent routing protocol in wireless sensor networks - A swarm intelligence and deep reinforcement learning based approach
FlexiD-Fuse: Flexible number of inputs multi-modal medical image fusion based on diffusion model
Complexity and resolution of spatio-temporal reasonings for criminology with greedy and evolutionary algorithms
Preprocessing expert system for mining association rules in telecommunication networks
A novel interval-valued intuitionistic fuzzy CRITIC-TOPSIS methodology: An application for transportation mode selection problem for a glass production company
Real-time illumination invariant lane detection for lane departure warning system
Systematic review of bankruptcy prediction models: Towards a framework for tool selection
Minimum-time strategy optimization for networked evolutionary games with bankruptcy mechanism
A Web-based automated manufacturability analyzer and recommender for additive manufacturing (MAR-AM) via a hybrid Machine learning model
Erratum to "Extensible Prototyping for pragmatic engineering of knowledge-based systems" [ESWA 39 (11) (2012) 10177-10190]
Investigation of nearby monitoring station for hourly PM2.5 forecasting using parallel multi-input 1D-CNN-biLSTM
Planning of prescriptive maintenance types for generator with fuzzy logic-based genetic algorithm in a hydroelectric power plant
Taguchi Method-GONNS integration: Complete procedure covering from experimental design to complex optimization
Emergence-based self-advising in strong self-organizing systems: A case study in NASA ANTS mission
The selection of renewable energy technologies using a hybrid subjective and objective multiple criteria decision making method
KEST: A graph-based keyphrase extraction technique for tweets summarization using Markov Decision Process
Source localization in complex networks with optimal observers based on maximum entropy sampling
Web service quality control based on text mining using support vector machine
Localization model and rank-based features selection approach for the classification of GGO and consolidation stages of COVID-19
Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets
Empirical study of feature selection methods based on individual feature evaluation for classification problems
Autonomous classifiers with understandable rule using multi-objective genetic algorithms
An integrated scenario-based multi-criteria decision support system for water resources management and planning - A case study in the Haihe River Basin
Electricity load and price forecasting in Spain: A hybrid deep learning framework leveraging temporal and seasonal dynamics
A hybrid fuzzy MCDM approach for evaluating website quality of professional accounting firms
Expert system with Bayesian synergy for elevator health assessment via fuzzy knowledge and data-driven integration
Analysis on risk factors for cervical cancer using induction technique
Objective Black-Litterman views through deep learning: A novel hybrid model for enhanced portfolio returns
A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications
Tourism demand forecasting using novel hybrid system
Two-sided matching model considering multi-information fusion of stakeholders
Development of a predictive system for car fuel consumption using an artificial neural network
On optimality for fuzzy optimization problems with granular differentiable fuzzy objective functions
Median Binary Pattern with Statistical model for feature extraction and Mobile DB-Net based brain tumor detection using MRI image
Improving scalability of inductive logic programming via pruning and best-effort optimisation
Semantic compared cross impact analysis
On circular traffic sign detection and recognition
Application of salesman-like recommendation system in 3G mobile phone online shopping decision support
Intelligently Augmented Contrastive Tensor Factorization: Empowering multi-dimensional time series classification in low-data environments
Density-based microaggregation for statistical disclosure control
Dual-state feature importance perception and adaptive interaction importance modeling for CTR prediction
Decision-making system for stock exchange market using artificial emotions
An adaptive evolutionary-reinforcement learning algorithm for hyperspectral band selection
Robust observer-based output feedback control for fuzzy descriptor systems
Opportunistic control mechanisms for ambience intelligence worlds
Identification of parametric dynamical systems using integer programming
Precast production scheduling using multi-objective genetic algorithms
Development of project cost contingency estimation model using risk analysis and fuzzy expert system
Application of mother wavelet functions for automatic gear and bearing fault diagnosis
An end-to-end chinese font generation network with stroke semantics and deformable attention skip-connection
Integrating intra-firm and inter-firm knowledge diffusion into the knowledge diffusion model
Conjoint analysis for improving the e-book reader in the Korean market
Knowledge based crime scenario modelling
Applying market profile theory to forecast Taiwan Index Futures market
A holistic approach to sustainable manufacturing: Rework, green technology, and carbon policies
A hybrid Transformer approach for Chinese NER with features augmentation
User-oriented ontology-based clustering of stored memories
Long-term trials for improvement of autonomous area coverage with a Tetris inspired tiling self-reconfigurable system
Two-phase optimization of binary sequences with low peak sidelobe level value
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem
Lexicographic bottleneck mixed-model assembly line balancing problem: Artificial bee colony and tabu search approaches with optimised parameters
Customer churn prediction by hybrid neural networks
A dynamic multi-criteria decision making model with bipolar linguistic term sets
A hybrid genetic algorithm for multi-objective product plan selection problem with ASP and ALB
Responsible investing: a multi-period portfolio selection model
On the formulation of competitive negotiations in Web applications: The Latin-American market case
Dynamic ensemble pruning algorithms fusing meta-learning with heuristic parameter optimization for time series prediction
A two-stage hybrid memetic algorithm for multiobjective job shop scheduling
Hybrid multiple attribute group decision-making for power system restoration
An approach for incremental knowledge acquisition from text
Corrigendum to "Data Collaborative Contrastive Recommendation model with self-adaptive noise" [Expert Syst. Appl. 256 (2024) 124899]
Data mining for financial prediction and trading: application to single and multiple markets
Modeling methodology for early warning of chronic heart failure based on real medical big data
A fuzzy AHP-GP approach for integrated production-planning considering manufacturing partners
Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification
A neuro-fuzzy approach to self-management of virtual network resources
Deep semi-supervised learning for medical image segmentation: A review
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Short-term sales forecasting with change-point evaluation and pattern matching algorithms
Human-aligned trading by imitative multi-loss reinforcement learning
Heuristics for scheduling jobs in a permutation flow shop to minimize total earliness and tardiness with unforced idle time allowed
Research on litchi image detection in orchard using UAV based on improved YOLOv5
Determination of optimal inspection sequence within misclassification error bound
Information technology project evaluation: An integrated data envelopment analysis and balanced scorecard approach
FITE-GAT: Enhancing aspect-level sentiment classification with FT-RoBERTa induced trees and graph attention network
On-the-fly generation of multi-robot team formation strategies based on game conditions
GMMs similarity measure based on LPP-like projection of the parameter space
A non-factoid question answering system for prior art search
Connectivity-maintaining obstacle avoidance approach for leader-follower formation tracking of uncertain multiple nonholonomic mobile robots
SKGRec: Unifying temporal dynamics and knowledge graphs for robust recommendations