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Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model
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Applications of nature-inspired metaheuristic algorithms for tackling optimization problems across disciplines
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Variable parameters memory-type control charts for simultaneous monitoring of the mean and variability of multivariate multiple linear regression profiles
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Modeling health and well-being measures using ZIP code spatial neighborhood patterns
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Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification
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Identification of CT radiomic features robust to acquisition and segmentation variations for improved prediction of radiotherapy-treated lung cancer patient recurrence
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Explainable prediction of node labels in multilayer networks: a case study of turnover prediction in organizations
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Memory type Bayesian adaptive max-EWMA control chart for weibull processes
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Improved data quality and statistical power of trial-level event-related potentials with Bayesian random-shift Gaussian processes
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Comparison and evaluation of overcoring and hydraulic fracturing stress measurements
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Predictors of divorce and duration of marriage among first marriage women in Dejne administrative town
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Determinants of multimodal fake review generation in China’s E-commerce platforms
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A bicoherence approach to analyze multi-dimensional cross-frequency coupling in EEG/MEG data
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Response times are affected by mispredictions in a stochastic game
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The effect of city reputation on Chinese corporate risk-taking
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Fatty liver classification via risk controlled neural networks trained on grouped ultrasound image data
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A new unit distribution: properties, estimation, and regression analysis
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GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides
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On topological indices and entropy measures of beryllonitrene network via logarithmic regression model
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Measuring the similarity of charts in graphical statistics
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A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents
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A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets
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Impact of using virtual avatars in educational videos on user experience
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Monitoring gamma type-I censored data using an exponentially weighted moving average control chart based on deep learning networks
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Statistical detection of selfish mining in proof-of-work blockchain systems
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Evaluation metrics and statistical tests for machine learning
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PARSEG: a computationally efficient approach for statistical validation of botanical seeds’ images
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Application of analysis of variance to determine important features of signals for diagnostic classifiers of displacement pumps
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Prediction and detection of side effects severity following COVID-19 and influenza vaccinations: utilizing smartwatches and smartphones
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Evaluating the lifetime performance index of omega distribution based on progressive type-II censored samples
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Development of risk models of incident hypertension using machine learning on the HUNT study data
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Online trend estimation and detection of trend deviations in sub-sewershed time series of SARS-CoV-2 RNA measured in wastewater
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Machine learning and XAI approaches highlight the strong connection between \(O_3\) and \(NO_2\) pollutants and Alzheimer’s disease
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High-precision regressors for particle physics
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Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data
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Application of machine learning with large-scale data for an effective vaccination against classical swine fever for wild boar in Japan
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Evaluating public opinions: informing public health policy adaptations in China amid the COVID-19 pandemic
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Quality assessment and community detection methods for anonymized mobility data in the Italian Covid context
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The disparate impacts of college admissions policies on Asian American applicants
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Spectrum analysis of digital UPWM signals generated from random modulating signals
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A novel extension of half-logistic distribution with statistical inference, estimation and applications
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Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia
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A raster-based spatial clustering method with robustness to spatial outliers
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A bi-level framework for real-time crash risk forecasting using artificial intelligence-based video analytics
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Joint Bayesian estimation of cell dependence and gene associations in spatially resolved transcriptomic data