PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning

Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure

(2020) Hang Qiu et al.   BMC Medical Informatics and Decision Making

An Ensemble Learner-Based Bagging Model Using Past Output Data for Photovoltaic Forecasting

(2020) Sunghyeon Choi et al.   Energies

A Systematic Comparison of search-Based approaches for LDA hyperparameter tuning

(2020) Annibale Panichella   INFORMATION AND SOFTWARE TECHNOLOGY

Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods

(2020) Serkan Ballı   CHAOS SOLITONS & FRACTALS

A topic model approach to identify and track emerging risks from beeswax adulteration in the media

(2020) Agnes Rortais et al.   FOOD CONTROL

A bibliometric analysis of topic modelling studies (2000–2017)

(2019) Xin Li et al.   JOURNAL OF INFORMATION SCIENCE

Child’s Target Height Prediction Evolution

(2019) João Rala Cordeiro et al.   Applied Sciences-Basel

Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment

(2015) Arman Khadjeh Nassirtoussi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Boosted Varying-Coefficient Regression Models for Product Demand Prediction

(2013) Jianqiang C. Wang et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS