[图书][B] An introduction to outlier analysis
CC Aggarwal, CC Aggarwal - 2017 - Springer
Outliers are also referred to as abnormalities, discordants, deviants, or anomalies in the data
mining and statistics literature. In most applications, the data is created by one or more …
mining and statistics literature. In most applications, the data is created by one or more …
[图书][B] Nonparametric functional data analysis
F Ferraty - 2006 - Springer
This work is the fruit of recent advances concerning both nonparametric statistical modelling
and functional variables and is based on various publications in international statistical …
and functional variables and is based on various publications in international statistical …
Random walk approximation of fractional-order multiscaling anomalous diffusion
Random walks are developed to approximate the solutions of multiscaling, fractional-order,
anomalous diffusion equations. The essential elements of the diffusion are described by the …
anomalous diffusion equations. The essential elements of the diffusion are described by the …
In silico prediction of UGT-mediated metabolism in drug-like molecules via graph neural network
UDP-glucuronosyltransferases (UGTs) have gained increasing attention as they play
important roles in the phase II metabolism of drugs. Due to the time-consuming process and …
important roles in the phase II metabolism of drugs. Due to the time-consuming process and …
Machine learning based multimodal neuroimaging genomics dementia score for predicting future conversion to alzheimer's disease
Background: The increasing availability of databases containing both magnetic resonance
imaging (MRI) and genetic data allows researchers to utilize multimodal data to better …
imaging (MRI) and genetic data allows researchers to utilize multimodal data to better …
Ensemble-based and hybrid recommender systems
CC Aggarwal, CC Aggarwal - Recommender Systems: The Textbook, 2016 - Springer
In the previous chapters, we discussed three different classes of recommendation methods.
Collaborative methods use the ratings of a community of users in order to make …
Collaborative methods use the ratings of a community of users in order to make …
A robustness evaluation of machine learning algorithms for ECG myocardial infarction detection
An automatic electrocardiogram (ECG) myocardial infarction detection system needs to
satisfy several requirements to be efficient in real-world practice. These requirements, such …
satisfy several requirements to be efficient in real-world practice. These requirements, such …
Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging
Fluorodeoxyglucose positron emission tomography (FDG-PET) imaging based 3D
topographic brain glucose metabolism patterns from normal controls (NC) and individuals …
topographic brain glucose metabolism patterns from normal controls (NC) and individuals …
Goodness‐of‐fit tests for functional data
FA Bugni, P Hall, JL Horowitz… - The Econometrics …, 2009 - academic.oup.com
Economic data are frequently generated by stochastic processes that can be modelled as
occurring in continuous time. That is, the data are treated as realizations of a random …
occurring in continuous time. That is, the data are treated as realizations of a random …
Global partial likelihood for nonparametric proportional hazards models
As an alternative to the local partial likelihood method of Tibshirani and Hastie and Fan,
Gijbels, and King, a global partial likelihood method is proposed to estimate the covariate …
Gijbels, and King, a global partial likelihood method is proposed to estimate the covariate …