yusuke1997/dblp-id-title huggingface dataset:
An improved algorithm for mining class association rules using the difference of Obidsets
"Why tag me?": Detecting motivations of comment tagging in Instagram
Designing reusable rule-based architectures with design patterns
Experts and intelligent systems for smart homes' Transformation to Sustainable Smart Cities: A comprehensive review
Using machine learning techniques for evaluating tomato ripeness
An effective new penetration test approach to detect web attacks on web applications
An unstructured information management system (UIMS) for emergency management
Affective factors weight estimation in tree felling time by artificial neural networks
Mutual funds trading strategy based on particle swarm optimization
A temporal case retrieval model to predict railway passenger arrivals
An agent-based optimisation approach for vehicle routing problem with unique vehicle location and depot
Application of self-organizing maps in analysis of wave soldering process
A grey-fuzzy Taguchi approach for optimizing multi-objective properties of zirconium-containing diamond-like carbon coatings
Exploring the soluble (pro)renin receptor (sPRR) as a biomarker in pathophysiological disorders: Integrating machine learning and meta-analysis for insights into gestational diabetes
Analysis of behavioural curves to classify iris images under the influence of alcohol, drugs, and sleepiness conditions
Deep learning for biological image classification
Personalized Dynamic Attention Multi-task Learning model for document retrieval and query generation
FinTech regulation: Evolutionary game model, numerical simulation, and recommendations
DyBooster: Leveraging large language model as booster for dynamic recommendation
Double-loop learning in project environments: An implementation approach
Deep flight track clustering based on spatial-temporal distance and denoising auto-encoding
Texture-based descriptors for writer identification and verification
How to select search keywords for online advertising depending on consumer involvement: An empirical investigation
Game of information security investment: Impact of attack types and network vulnerability
iProStruct2D: Identifying protein structural classes by deep learning via 2D representations
Skin lesion segmentation using fully convolutional networks: A comparative experimental study
An analytic network process model for risk quantification of mega construction projects
Active learning through density clustering
A multi-kernel method of measuring adaptive similarity for spectral clustering
Localization of HIFS in primary distribution networks using voltage and current sequence components
Enhancing topic coherence and diversity in document embeddings using LLMs: A focus on BERTopic
RGCGT: A high-order feature learning framework for predicting disease-metabolite interaction using residual graph convolution and graph transformer
MamMoeT: An intelligent agent-based communication support platform for multimodal transport
New hybrid methodology for stock volatility prediction
Dynamic mask stitching-guided region consistency for semi-supervised 3D medical image segmentation
Genetic algorithms for door-assigning and sequencing of trucks at distribution centers for the improvement of operational performance
PKLot - A robust dataset for parking lot classification
SDZRE: A semantic distillation method for zero-shot relation extraction
Practical implementation of knowledge-based approaches for steam-assisted gravity drainage production analysis
Decision support for selecting optimal logistic regression models
Probabilistic accident risk based on productivity for prefabricated structural system at large-scale industrial project
A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy
RAMR: A role-adaptive modality recalibration network for RGBT tracking
Graph Neural Networks-based hybrid framework for predicting particle crushing strength
A fast simulated annealing algorithm for the examination timetabling problem
Unified distributed robust regression and variable selection framework for massive data
A novel fault diagnosis method of bearing based on improved fuzzy ARTMAP and modified distance discriminant technique
Hardware-software platform for computing irreducible testors
Robust multi-view subspace clustering via neighbor embedding on manifold and low-rank representation learning
Progressive feature refining with the deformable-guidance describer for dense video captioning
A framework for microarray data-based tumor diagnostic system with improving performance incrementally
An integrated model of GIS and fuzzy logic (FMOTS) for location decisions of taxicab stands
Forecasting household electricity demand with hybrid machine learning-based methods: Effects of residents' psychological preferences and calendar variables
Deep learning with multiple scale attention and direction regularization for asset price prediction
SARAH-M: A fast stochastic recursive gradient descent algorithm via momentum
TextOntoEx: Automatic ontology construction from natural English text
Knowledge management capabilities and firm performance: A test of universalistic, contingency and complementarity perspectives
Fault diagnosis of turbine based on fuzzy cross entropy of vague sets
Aligning intangible assets to innovation in biopharmaceutical industry
Vehicle routing problem with time windows considering overtime and outsourcing vehicles
Improving consistency based on regret theory: A multi-attribute group decision making method with linguistic distribution assessments
A methodology to generate a belief rule base for customer perception risk analysis in new product development
A multi-depot vehicle routing problem with time windows, split pickup and split delivery for surplus food recovery and redistribution
Developing of an ontological interface agent with template-based linguistic processing technique for FAQ services
Linguistic data mining with fuzzy FP-trees
Local Neighborhood Intensity Pattern-A new texture feature descriptor for image retrieval
Building a knowledge graph for operational hazard management of utility tunnels
Color image encryption scheme based on 5D fractional-order complex chaotic system and eight-base DNA cubes
A consensus model for heterogeneous multi-attribute group decision making with several attribute sets
A feature selection method via analysis of relevance, redundancy, and interaction
Enhanced deepfake detection with DenseNet and Cross-ViT
Smoothed bootstrap Malmquist index based on DEA model to compute productivity of tax offices
A factor analysis based selection process for predicting successful university color guard club members
Corrigendum "Planning of educational training courses by data mining: Using China Motor Corporation as an example" [Expert Systems with Applications] 36 (3P2) (2009) 7199-7209
Contextualized spatio-temporal graph-based method for forecasting sparse geospatial sensor networks
Using the artificial neural network model for modeling the performance of the counter flow vortex tube
A web-based system for analyzing the voices of call center customers in the service industry
Modelling sovereign credit ratings: Neural networks versus ordered probit
Robust mobile robot path planning via LLM-based dynamic waypoint generation
Rough set theory with discriminant analysis in analyzing electricity loads
Integrating similarity and dissimilarity notions in recommenders
Dimensionality reduction with deep learning classification for botnet detection in the Internet of Things
Code smell detection and identification in imbalanced environments
SVM practical industrial application for mechanical faults diagnostic
Finding representative group fairness metrics using correlation estimations
Optimal meter placement using genetic algorithm to maintain network observability
Neural networks for estimation of discharge capacity of triangular labyrinth side-weir located on a straight channel
A novel epsilon-insensitive loss function-based nonlinear multivariate grey model for small-sample time series forecasting
Interactive image segmentation using label propagation through complex networks
A mathematical programming model for estimating the importance levels of performance criteria and an application in e-commerce
Biometric keystroke barcoding: A next-gen authentication framework
ABNS: Association-based negative sampling for collaborative filtering
Towards efficient multi-modal 3D object detection: Homogeneous sparse fuse network
Beyond benchmarks: Towards robust artificial intelligence bone segmentation in socio-technical systems
A genetic algorithm for optimizing gravity die casting's heat transfer coefficients
SCGSA: A sine chaotic gravitational search algorithm for continuous optimization problems
Separate or joint? Estimation of multiple labels from crowdsourced annotations
KLGCN: Knowledge graph-aware Light Graph Convolutional Network for recommender systems
An expert system based on Generalized Discriminant Analysis and Wavelet Support Vector Machine for diagnosis of thyroid diseases
Intelligent fault diagnosis of rotating machinery using infrared thermal image
Measuring relevance between discrete and continuous features based on neighborhood mutual information
Constrained optimization of data-mining problems to improve model performance: A direct-marketing application
Real-time retrieval for case-based reasoning in interactive multiagent-based simulations
RGB camera-based fallen person detection system embedded on a mobile platform
Mining protein-protein interaction information on the internet
An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem
Convolutional fuzzy modules stacked deep residual system with application to classification problems
Deep reinforcement learning applied to the k -server problem
A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting
Open Directory Project based universal taxonomy for Personalization of Online (Re)sources
S-FPN: A shortcut feature pyramid network for sea cucumber detection in underwater images
A parallel multi-objective algorithm for two-dimensional bin packing with rotations and load balancing
Optimal soft open point placement and open switch position selection simultaneously for power loss reduction on the electric distribution network
COMPASS: Unsupervised and online clustering of complex human activities from smartphone sensors
Establishing expert system for prediction based on the project-oriented data warehouse
Medicine expert system dynamic Bayesian Network and ontology based
Budget optimized dynamic virtual machine provisioning in hybrid cloud using fuzzy analytic hierarchy process
An ERP model for supplier selection in electronics industry
Interpretable machine learning models and decision-making mechanisms for landslide hazard assessment under different rainfall conditions
Towards optimal foreign object debris detection in an airport environment
Developing fuzzy logic strength of evidence index and application in Bayesian networks for system risk management
Towards efficient solutions for automatic recognition of complex power quality disturbances
Non-contact weight estimation system for fish based on instance segmentation
Inference and learning methodology of belief-rule-based expert system for pipeline leak detection
Empirical distributions of daily equity index returns: A comparison
SRSCL: A strong-relatedness-sequence-based fine-grained collective entity linking method for heterogeneous information networks
A hybrid tracking method for scaled and oriented objects in crowded scenes
Dual-view cross attention enhanced semi-supervised learning method for discourse cognitive engagement classification in online course discussions
A grouping hyper-heuristic framework: Application on graph colouring
A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market
Repetition support and mining cyclic patterns
A verification framework with application to a propulsion system
A novel Sequence-Aware personalized recommendation system based on multidimensional information
Optical flow based analyses to detect emotion from human facial image data
Fast identification of maize varieties with small samples using near-infrared spectral feature selection and improved stacked sparse autoencoder deep learning
Modelling decision making in fund raising management by a fuzzy knowledge system
ReLU-oscillator: Chaotic VGG10 model for real-time neural style transfer on painting authentication
Semi-supervised learning with graph convolutional extreme learning machines
A benchmark of machine learning approaches for credit score prediction
Energy-efficient motion planning of an autonomous forklift using deep neural networks and kinetic model
Learning communication patterns for malware discovery in HTTPs data
An ontology-based intrusion alerts correlation system
Real-time contrasts control chart using random forests with weighted voting
Emergency logistics network optimization with time window assignment
A new feature selection method on classification of medical datasets: Kernel F-score feature selection
A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems
Multi-objective lichtenberg algorithm: A hybrid physics-based meta-heuristic for solving engineering problems
Multilingual novelty detection
Learning case adaptation for problem-oriented e-learning on mathematics teaching for students with mild disabilities
NEFM: Neural embedding based factorization machines for user response prediction
Agency theory: Forecasting agent remuneration at insurance companies
RU-FEMOIN - A database of facial expressions: Utilization for robotic mood transition of patient robots
Virtual balise placement for GNSS-based train control using aquila optimization-enhanced multi-objective optimization
Spatial-temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecastin
A systematic literature review of deep learning-based text summarization: Techniques, input representation, training strategies, mechanisms, datasets, evaluation, and challenges
Data differentiation and parameter analysis on the weight changes of premature babies with an artificial neuromolecular system
Toward flexible and persistent UAV service: Multi-period and multi-objective system design with task assignment for disaster management
Prompt template construction by Average Gradient Search with External Knowledge for aspect sentimental analysis
Pattern selection approaches for the logical analysis of data considering the outliers and the coverage of a pattern
Fuzzy linguistic decision to provide alternatives to market mechanism strategies
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost
Recursive forecasting for vaccination demand with hybrid feature LSTM considering heterogeneous policies and risk perception
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients
An improved meta heuristic IT2 fuzzy model for nondestructive failure evaluation of metal additive manufacturing lattice structure
BERT-based coupling evaluation of biological strategies in bio-inspired design
Support vector machines for credit scoring and discovery of significant features
Financial failure prediction using efficiency as a predictor
A Stackelberg game for distributed formation of business-driven services communities
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
A discriminative subject-specific spatio-spectral filter selection approach for EEG based motor-imagery task classification
GA-based learning bias selection mechanism for real-time scheduling systems
A genetic network programming with learning approach for enhanced stock trading model
Noun-based attention mechanism for Fine-grained Named Entity Recognition
A discrete seasonal grey model with disturbance adjustments and dummy parameters for cyclical effects in electricity demand forecasting
Comparison of ANN and principal component analysis-multivariate linear regression models for predicting the river flow based on developed discrepancy ratio statistic
GRASP with path relinking for the selective pickup and delivery problem
Integrated cluster analysis and artificial neural network modeling for steam-assisted gravity drainage performance prediction in heterogeneous reservoirs
An evolutionary algorithm for multimodal multi-objective traveling salesman problems
A flexible framework to coordinate debris clearance and relief distribution operations: A robust machine learning approach
An integrated multiple criteria preference ranking approach to the Canadian west coast port congestion conflict
A simulation study using EFA and CFA programs based the impact of missing data on test dimensionality
Fans Optimizer: A human-inspired optimizer for mechanical design problems optimization
Hypotheses and their dynamics in legal argumentation
Rating the relative efficiency of financial holding companies in an emerging economy: A multiple DEA approach
Block assembly planning in shipbuilding using case-based reasoning
R&D direction and equity financing strategy selection for key component suppliers
Understanding the role of conceptual relations in Word Sense Disambiguation
Evaluating the Interactions between class overlap and class imbalance for software defect prediction
Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function
An analysis of Single-Player Monte Carlo Tree Search performance in Sokoban
Stackelberg game optimization method for virtual power plant and electric vehicle considering coupled green certificates and spot markets
Modeling and solving simultaneous delivery and pick-up problem with stochastic travel and service times in home health care
TYRE: A dynamic graph model for traffic prediction
A novel sentence similarity measure for semantic-based expert systems
HHN-NDEND: A symmetric watermarking framework based on hyperchaotic encryption for medical image protection in IoMT
I am all EARS: Using open data and knowledge graph embeddings for music recommendations
Combating the COVID-19 infodemic using Prompt-Based curriculum learning
Robust manifold discriminative distribution adaptation for transfer subspace learning
Multimodal sensor-based semantic 3D mapping for a large-scale environment
A decision-support tool for policy makers in healthcare supply chains to balance between perceived risk in logistics outsourcing and cost-efficiency
Insight any invisible: An occlusion perception method for robust pedestrian detection in crowded scenes
Genders prediction from indoor customer paths by Levenshtein-based fuzzy kNN
Transformer-based attention network for stock movement prediction
A 5 GHz LC-VCO frequency synthesizer for unlicensed band of WiMAX
PENETRATE: Personalized news recommendation using ensemble hierarchical clustering
Modified metaheuristic algorithms to design a closed-loop supply chain network considering quantity discount and fixed-charge transportation
Self organizing natural scene image retrieval
A novel consensus feedback mechanism for multi-agents based on cooperation willingness in group decision making
Hybrid Kano-DEMATEL-TOPSIS model based benefit distribution of multiple logistics service providers considering consumer service evaluation of segmented task
Incomplete multi-view clustering via confidence graph completion based tensor decomposition
A multi-stage multimodal framework for sentiment analysis of Assamese in low resource setting
Intelligent decision support for effectively evaluating and selecting ships under uncertainty in marine transportation
EFRNet-VL: An end-to-end feature refinement network for monocular visual localization in dynamic environments
Knowledge-based approach to improving micromarketing decisions in a data-challenged environment
Benchmarking of closed vision-language models for Ki-67 index prediction in breast cancer histopathology images
A dynamic framework for tuning SVM hyper parameters based on Moth-Flame Optimization and knowledge-based-search
Bootstrap control charts in monitoring value at risk in insurance
A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection
Transformer-enhanced meta-learning for few-shot fault diagnosis of electric submersible pump
The importance of temporal information in Bayesian network structure learning
A cooperative control model for multiagent-based material handling systems
CAD system for intelligent grading of COVID-19 severity with green computing and low carbon footprint analysis
RAFN: A risk-aware feature network for identifying risk factors in supply chain finance
Application of multi-objective optimization to blind source separation
Designing a new sustainable healthcare network considering the COVID-19 pandemic: Artificial intelligence-based solutions
Query expansion based on term distribution and DBpedia features
A matrix-based flexible project-planning library and indicators
Conjoint analysis for recruiting high quality students for college education
News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review
Classifying patterns with missing values using Multi-Task Learning perceptrons
Model selection with decision support model for US natural gas consumption forecasting
Weighted ensemble based on differentiated sampling rates for imbalanced classification and application to credit risk assessment
Exploratory differential ant lion-based optimization
DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination
Best-Worst method and Hamacher aggregation operations for intuitionistic 2-tuple linguistic sets
Predatory-imminence-continuum-inspired graph reinforcement learning for interactive motion planning in dense traffic
Combining radial basis function neural network and genetic algorithm to improve HDD driver IC chip scale package assembly yield
BESTCOMP: expert system for Sri Lankan solid waste composting
External information enhancing topic model based on graph neural network
EG-Net: Appearance-based eye gaze estimation using an efficient gaze network with attention mechanism
An imperfect production process for time varying demand with inflation and time value of money - An EMQ model
Multi-view Graph Attention Network for Travel Recommendation
Integrating spatio-temporal density-based clustering and neural networks for earthquake classification
Evaluating carbon cap and trade policy effects on a multi-period bi-objective closed-loop supply chain in retail management under mixed uncertainty: Towards greener horizons
Move acceptance in local search metaheuristics for cross-domain search
A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization
Effective multispike learning in a spiking neural network with a new temporal feedback backpropagation for breast cancer detection
Novel strategies based on a gradient boosting regression tree predictor for dynamic multi-objective optimization
A novel method of neural network model predictive control integrated process monitoring and applications to hot rolling process
Consumer credit scoring models with limited data
A multi-product job shop scenario utilising Model Predictive Control
A design-guided industrial defect detection method with enhanced camouflaged defect identification
Alzheimer's disease and automatic speech analysis: A review
The effects of a trust mechanism on a dynamic supply chain network
Seismic risk model for regional buildings that considers the influence of temperature and intensity measures
Poisoning QoS-aware cloud API recommender system with generative adversarial network attack
An efficient Harris hawks-inspired image segmentation method
An automated decision-making system employing complex networks and blockchain for the decentralized stock market
How to assess measurement capabilities of a security monitoring infrastructure and plan investment through a graph-based approach