yusuke1997/dblp-id-title huggingface dataset:
Time envelopment analysis: A new method for effectively incorporating time series in data envelopment analysis
Visualization of patent analysis for emerging technology
Structural enhanced robust discriminative least squares regression for image classification
AnoOnly: Semi-supervised anomaly detection with the only loss on anomalies
A joint learning method with consistency-aware for low-resolution facial expression recognition
Choice of the wavelet analyzing in the phonocardiogram signal analysis using the discrete and the packet wavelet transform
DQ 2 S - A framework for data quality-aware information management
AI-enhanced structured dataset building for generating meaningful knowledge relationships and diversified questions
Ontological map of service oriented architecture for shared services management
Speech evaluation of patients with Alzheimer's disease using an automatic interviewer
Designing MIMO controller by neuro-traveling particle swarm optimizer approach
Corrigendum to "Detection of temporality at discourse level on financial news by combing Natural Language Processing and Machine Learning" [Expert Syst. Appl. 197 (2022) 116648]
Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system
FAIERDet: Fuzzy-based adaptive image enhancement for real-time traffic sign detection and recognition under varying light conditions
Interleaving and cross-attention presents efficient knowledge graph embedding
Single-step ahead prediction based on the principle of concatenation using grey predictors
Identifying optimal technique of reducing dimensionality of scour influencing hydraulic parameters applying SWOT analysis
Case-based reasoning and neural network based expert system for personalization
Hybrid feature-based analysis of video's affective content using protagonist detection
A data analysis decision support system for the carbon dioxide capture process
A fuzzy hybrid MCDM approach for professional selection
Transforming machine learning strategies in quantitative stock investment: A multisource information fusion and online ensemble modeling approach for superior alpha factors
A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data
Enhancing WLAN location privacy using mobile behavior
Hybrid machine learning with optimization algorithm and resampling methods for patch load resistance prediction of unstiffened and stiffened plate girders
A model-agnostic, network theory-based framework for supporting XAI on classifiers
Assessing credit risk of commercial customers using hybrid machine learning algorithms
A weighted N-list-based method for mining frequent weighted itemsets
Data-driven deep learning model for short-term wind power prediction assisted with WGAN-GP data preprocessing
Meta-path based graph contrastive learning for micro-video recommendation
The forecasting model based on wavelet nu-support vector machine
Automatic labeling of river restoration project documents based on project objectives and restoration methods
Harnessing heterogeneous social networks for better recommendations: A grey relational analysis approach
Fuzzy cognitive map and mean square method in empirical modeling: Application in economics
Blind watermarking for color images using EMMQ based on QDFT
A distribution-preserving method for resampling combined with LightGBM-LSTM for sequence-wise fraud detection in credit card transactions
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis
FDMOABC: Fuzzy Discrete Multi-Objective Artificial Bee Colony approach for solving the non-deterministic QoS-driven web service composition problem
A collaboration-based hybrid GWO-SCA optimizer for engineering optimization problems
A two-step approach to building bilateral consensus between agents based on relationship learning theory
Facilitating cross-selling in a mobile telecom market to develop customer classification model based on hybrid data mining techniques
Decision support framework for predicting rate of gait recovery with optimized treatment planning
Information asymmetry in the graph model of conflict resolution and its application to the sustainable water resource utilization conflict in Niangziguan Springs Basin
Greedy algorithms for the inverse center line location problem
LiqBoost: Enhancing liquidity provision for blockchain-based decentralized exchanges
New robust method for image copyright protection using histogram features and Sine Cosine Algorithm
Standard fetal ultrasound plane classification based on stacked ensemble of deep learning models
Detection of cloaked web spam by using tag-based methods
Mining the hedge and arbitrage of the Taiwan foreign exchange market
Social network node pricing based on graph autoencoder in data marketplaces
SurvLIMEpy: A Python package implementing SurvLIME
Fuzzy adaptive event-triggered frequency regulation for power system with hybrid energy storage under uncertain cyber-attacks
Price information evaluation and prediction for broiler using adapted case-based reasoning approach
Collaborative promotion: Achieving safety and task performance by integrating imitation reinforcement learning
A clustering method based on fuzzy equivalence relation for customer relationship management
ESND: An embedding-based framework for signed network dismantling
Ontology-based supply chain decision support for steel manufacturers in China
SSDTW: Shape segment dynamic time warping
Energy-saving scheduling strategy for variable-speed flexible job-shop problem considering operation-dependent energy consumption
Performance comparison of artificial neural network and logistic regression model for differentiating lung nodules on CT scans
Tacking over-smoothing: Target-guide progressive dynamic graph learning for 3D skeleton-based human motion prediction
Neural fractional order differential equations
An adaptive ensemble classifier for mining concept drifting data streams
A decision support model for scheduling exhibition projects in art museums
A multi-population co-evolutionary algorithm for solving energy-efficient hybrid flow shop scheduling problem
Biogeography based optimization for multi-constraint optimal power flow with emission and non-smooth cost function
An expert system for predicting the effects of speech interference due to noise pollution on humans using fuzzy approach
A Web page classification system based on a genetic algorithm using tagged-terms as features
Adaptation of agent-based non-repudiation protocol to mobile digital right management (DRM)
Formation of e-satisfaction and repurchase intention: Moderating roles of computer self-efficacy and computer anxiety
Forecasting milk delivery to dairy - How modern statistical and machine learning methods can contribute
Customer relationship management in the hairdressing industry: An application of data mining techniques
Valuation of credit default swap by considering counterparty risk under affine stochastic volatility jump-diffusion model
Detecting serial residential burglaries using clustering
CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions
Data-based structure selection for unified discrete grey prediction model
An innovative conditional self-attention generative adversarial network with fennec fox optimization approach for resource allocation in cognitive radio wireless communication systems
Beyond transfer learning: Attention-enhanced deep learning framework for multiclass gastrointestinal disease classification
Clustering and compatibility-based approach for large-scale group decision making with hesitant fuzzy linguistic preference relations: An application in e-waste recycling
Bounded quantile loss for robust support vector machines-based classification and regression
Cascaded multi-point regression Network for high-quality generic lesion detection
MedGA: A novel evolutionary method for image enhancement in medical imaging systems
Talk to The Ghost: The Storybox methodology for faster development of storytelling chatbots
A CBR-based fuzzy decision tree approach for database classification
Modeling gender evolution and gap in science and technology using ecological dynamics
Application of Neuro-Fuzzy Controller for Sumo Robot control
Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction
An inter-market arbitrage trading system based on extended classifier systems
Batch sizing control of a flow shop based on the entropy-function theorems
CenterMamba: Enhancing semantic representation with center-scan Mamba network for hyperspectral image classification
A multi-objective simulation-based decision support tool for wine supply chain design and risk management under sustainability goals
Y-GAN: Learning dual data representations for anomaly detection in images
Wide and deep learning for peer-to-peer lending
Development of a decision making system for selection of dental implant abutments based on the fuzzy cognitive map
A review on computational intelligence methods for controlling traffic signal timing
An ant colony system empowered variable neighborhood search algorithm for the vehicle routing problem with simultaneous pickup and delivery
Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
Dynamic interactive robust consensus reaching framework for maximum experts considering uncertain cost and adjustment strategy
RTA-IR: A runtime assurance framework for behavior planning based on imitation learning and responsibility-sensitive safety model
Separation linearization approach for the capacitated facility location problem under disruption
A machine learning framework for predicting long-term graft survival after kidney transplantation
A nonlinear African vulture optimization algorithm combining Henon chaotic mapping theory and reverse learning competition strategy
DPCND: A dual-population based evolutionary approach for critical node detection problem in complex networks
Developing an improved chameleon swarm algorithm for combined cooling, heating and power micro-grid system
Artificial neural networks with evolutionary instance selection for financial forecasting
Design, implementation and evaluation of an expert system for operating regime detection in industrial gas turbine
Optimal solutions for variants of graph coverage-related problems in software test design
Predicting millionaires from Ethereum transaction histories using node embeddings and artificial neural nets
Failure prediction with self organizing maps
Attention-based deep neural network for Internet platform group users' dynamic identification and recommendation
A multi-faceted and automatic knowledge elicitation system (MAKES) for managing unstructured information
Survey of computer vision algorithms and applications for unmanned aerial vehicles
Supply chain coordination and exchange rate risk hedging strategy under 3PL financing in cross-border e-commerce
Cooperative enhanced scatter search with opposition-based learning schemes for parameter estimation in high dimensional kinetic models of biological systems
Cost heterogeneity and peak prediction in collective actions
Context-aware incremental clustering of alerts in monitoring systems
Explicit and implicit knowledge-enhanced model for event causality identification
A tolerance index based non-cooperative behaviour managing method with minimum cost in social network group decision making
WSOmark: An adaptive dual-purpose color image watermarking using white shark optimizer and Levenberg-Marquardt BPNN
Machine learning with explainability or spatial hedonics tools? An analysis of the asking prices in the housing market in Alicante, Spain
Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets
An automatic diagnosis system based on thyroid gland: ADSTG
Social event detection with retweeting behavior correlation
Social networks and genetic algorithms to choose committees with independent members
An efficient format-independent watermarking framework for large-scale data sets
Automatic phonocardiograph signal analysis for detecting heart valve disorders
Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring
Group-spectral superposition and position self-attention transformer for hyperspectral image classification
An empirical study of the structure of relevant keywords in a search engine using the minimum spanning tree
Optimal multilevel thresholding using bacterial foraging algorithm
KMHBO: A knowledge-guided multi-niche hybrid breeding optimization algorithm for high-dimensional multimodal feature selection
Evaluation of semantic similarity metrics applied to the automatic retrieval of medical documents: An UMLS approach
A metaheuristic for the rural school bus routing problem with bell adjustment
Optimal customer selection for cross-selling of financial services products
Multilayer artificial benchmark for community detection (mABCD)
An optimization-model-based interactive decision support system for regional energy management systems planning under uncertainty
An interpretable and efficient multi-scale spatio-temporal neural network for traffic flow forecasting
Breakthrough in fine-grained video anomaly detection on highway: New benchmark and model
Overcoming the effect of muscle fatigue on gesture recognition based on sEMG via generative adversarial networks
A transaction pattern analysis system based on neural network
A multi-objective genetic algorithm approach to rule mining for affective product design
A hybrid reasoning mechanism integrated evidence theory and set pair analysis in Swine-Vet
Ist-SBiLSTM: Multi-level stacking ensemble approach using gravitational search algorithm and BiLSTM for accurate state of health prediction in lithium-ion batteries
Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering
Risk assessment of customer churn in telco using FCLCNN-LSTM model
TKSTAGNet: A Top-K Spatio-Temporal Attention Gating Network for air pollution prediction
Multi-objective uniform design as a SVM model selection tool for face recognition
Application of artificial neural network (ANN)-self-organizing map (SOM) for the categorization of water, soil and sediment quality in petrochemical regions
Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain
End-to-end multi-scale attention convolutional recurrent network for online handwritten Chinese text recognition
Numerical computation of Cross nanofluid model using neural network and Adaptive Neuro-Fuzzy Inference system with statistical insights for enhanced flow optimization
An active contour model based on shadow image and reflection edge for image segmentation
Spontaneous Social Network: toward dynamic virtual communities based on context-aware computing
Dynamic deadline constrained multi-objective workflow scheduling in multi-cloud environments
Multi-evader dynamic pursuit strategy based on improved AAPC and auction algorithm amidst static and dynamic obstacles
A robust credibility DEA model with fuzzy perturbation degree: An application to hospitals performance
Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis
MRSAPose: Multi-level routing sparse attention for multi-person pose estimation
Cluster analysis of genome-wide expression data for feature extraction
An expert system to derive carryover effect for pharmaceutical sales detailing optimization
An incremental cluster-based approach to spam filtering
Linear dimensionality reduction for classification via a sequential Bayes error minimisation with an application to flow meter diagnostics
A synthetic datasets based instance segmentation network for High-throughput soybean pods phenotype investigation
A new weighted pathfinding algorithms to reduce the search time on grid maps
Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges
FSDF: A high-performance fire detection framework
Neural network prediction of ascorbic acid degradation in green asparagus during thermal treatments
A formal verification framework for SysML activity diagrams
DCT-phase statistics for forged IMEI numbers and air ticket detection
Transmembrane segments prediction and understanding using support vector machine and decision tree
Predicting tourism loyalty using an integrated Bayesian network mechanism
Hybrid of deep recurrent network and long short term memory for rear-end collision detection in fog based internet of vehicles
White blood cell classification using multi-hop attention graph neural networks
Process control strategies for a steel making furnace using ANN with bayesian regularization and ANFIS
Forecasting stock indices with back propagation neural network
Natural disaster topic extraction in Sina microblogging based on graph analysis
A novel single-trial methodology for studying brain response variability based on archetypal analysis
An intelligent watermarking method based on particle swarm optimization
Modified smoothing data association for target tracking in clutter
Corrigendum "Sequencing single-machine tardiness problems with sequence dependent setup times using an iterated greedy heuristic" [Experts Systems with Applications 36 (3P2) (2009) 7087-7092]
Polygonal Coordinate System: Visualizing high-dimensional data using geometric DR, and a deterministic version of t-SNE
Exploring the affect factors of knowledge sharing behavior: The relations model theory perspective
Fisher's decision tree
Novel methods of image description and ensemble of classifiers in application to mammogram analysis
Fuzzy-Bayesian network for refrigeration compressor performance prediction and test time reduction
A comparative study on financial positions of shipping companies in Taiwan and Korea using entropy and grey relation analysis
Optimizing signal smoothing using HERS algorithm and time fractional diffusion equation
Novel grey dynamic trend relational analysis models with different types of accumulation delay effects for time-delay systems
Pythagorean fuzzy linear programming technique for multidimensional analysis of preference using a squared-distance-based approach for multiple criteria decision analysis
Towards automated and uncertainty-aware risk assessment for deep excavation via data-driven pythagorean fuzzy Bayesian network
A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes
A combined wavelet analysis-fuzzy adaptive algorithm for radar/infrared data fusion
MSCLK: Multi-scale fully separable convolution neural network with large kernels for early diagnosis of Alzheimer's disease
Mining hierarchical semantic periodic patterns from GPS-collected spatio-temporal trajectories
Metaheuristics-based ontology meta-matching approaches
Color image encryption and authentication using dynamic DNA encoding and hyper chaotic system
Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors
Corrigendum to "An integrated approach for logistic and vendor managed inventory in supply chain" [Expert Systems with Applications 37 (1) (2010) 39-44]
Collaborative crystal structure prediction
Smell and Taste Disorders Knowledge Graph: Answering Questions Using Health Data
Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm
A text classification framework for simple and effective early depression detection over social media streams
Multi-objective model for supplier selection and order allocation problem with fuzzy parameters
Exploiting intra-day patterns for market shock prediction: A machine learning approach
Automatic polyp detection for wireless capsule endoscopy images
Electronic word of mouth analysis for service experience
HRDEL: High ranking deep ensemble learning-based lung cancer diagnosis model
Multi-source multi-task meta-learning with task-oriented distribution alignment for gastric cancer analysis in CT images
Adaptive basal insulin recommender system based on Kalman filter for type 1 diabetes
An improved feature selection method for classification on incomplete data: Non-negative latent factor-incorporated duplicate MIC
An application of generalized symmetric type-2 intuitionistic fuzzy variables to a transportation problem with the effect of a new ranking function
Time-stamped resampling for robust evolutionary portfolio optimization
Influence of personality and modality on peer assessment evaluation perceptions using Machine Learning techniques
Multi-objective path finding in stochastic time-dependent road networks using non-dominated sorting genetic algorithm
Geographical distributed turbine power prediction using personalized federated learning
Chaos based image encryption scheme to secure sensitive multimedia content in cloud storage
Brain processing of vocal sounds in advertising: A functional magnetic resonance imaging (fMRI) study
Bee colony intelligence in zone constrained two-sided assembly line balancing problem
An adaptive learning scheme for load balancing with zone partition in multi-sink wireless sensor network
An efficient approach for outlier detection from uncertain data streams based on maximal frequent patterns
Cross-modal feature disentangling via bidirectional distillation for multimodal recommendation
Artificial intelligence in education: A systematic literature review
Deep Inference Clustering Network with Information Maximization
An expert system for speaker identification using adaptive wavelet sure entropy
Knowledge-prompted intracranial hemorrhage segmentation on brain computed tomography
A synthetical analysis method of measuring technology convergence
Facial Micro Emotion Detection and Classification Using Swarm Intelligence based Modified Convolutional Network
A hybrid expert system for equipment failure analysis
Parcel consolidation approach and routing algorithm for last-mile delivery by unmanned aerial vehicles
Multi-objective grey wolf optimizer based on reinforcement learning for distributed hybrid flowshop scheduling towards mass personalized manufacturing
Modeling for divisible project portfolio selection problem considering the loss from risk intensity changes
A two-stage algorithm integrating genetic algorithm and modified Newton method for neural network training in engineering systems
Fault diagnosis of wind turbine gearbox under limited labeled data through temporal predictive and similarity contrast learning embedded with self-attention mechanism
A cognitive surveillance system for detecting incorrect traffic behaviors
A new application of fuzzy set theory to the Black-Scholes option pricing model
On flexibility investment in manufacturing system: A multi-objective decision making method
Constructing the complete linguistic-based and gap-oriented quality function deployment
Hierarchical path planner for unknown space exploration using reinforcement learning-based intelligent frontier selection
Driver identification using finger-vein patterns with Radon transform and neural network
Automatic Feature Engineering for Learning Compact Decision Trees
Design of an artificial immune system based on Danger Model for fault detection
Algorithms for the determination of document authentication time and the recommendation of document modification
Pessimists and optimists: Improving collaborative filtering through sentiment analysis
Hybrid POI group recommender system based on group type in LBSN
Modified savings heuristics and genetic algorithm for bi-objective vehicle routing problem with forced backhauls
Intelligent phishing detection and protection scheme for online transactions
Short-term forecasting of streamflow by integrating machine learning methods combined with metaheuristic algorithms
Causal effect estimation framework for early human decision-making under nuclear emergencies: Integrating virtual reality and machine learning