Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Objective To conduct a systematic review of deep learning models for electronic health
record (EHR) data, and illustrate various deep learning architectures for analyzing different …
record (EHR) data, and illustrate various deep learning architectures for analyzing different …
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
C Bravo González-Blas, S De Winter, G Hulselmans… - Nature …, 2023 - nature.com
Joint profiling of chromatin accessibility and gene expression in individual cells provides an
opportunity to decipher enhancer-driven gene regulatory networks (GRNs). Here we present …
opportunity to decipher enhancer-driven gene regulatory networks (GRNs). Here we present …
[HTML][HTML] Tweet topics and sentiments relating to COVID-19 vaccination among Australian Twitter users: machine learning analysis
Background: COVID-19 is one of the greatest threats to human beings in terms of health
care, economy, and society in recent history. Up to this moment, there have been no signs of …
care, economy, and society in recent history. Up to this moment, there have been no signs of …
Extracting urban functional regions from points of interest and human activities on location‐based social networks
Data about points of interest (POI) have been widely used in studying urban land use types
and for sensing human behavior. However, it is difficult to quantify the correct mix or the …
and for sensing human behavior. However, it is difficult to quantify the correct mix or the …
Aspect-aware latent factor model: Rating prediction with ratings and reviews
Although latent factor models (eg, matrix factorization) achieve good accuracy in rating
prediction, they suffer from several problems including cold-start, non-transparency, and …
prediction, they suffer from several problems including cold-start, non-transparency, and …
A review of stochastic block models and extensions for graph clustering
C Lee, DJ Wilkinson - Applied Network Science, 2019 - Springer
There have been rapid developments in model-based clustering of graphs, also known as
block modelling, over the last ten years or so. We review different approaches and …
block modelling, over the last ten years or so. We review different approaches and …
Essay content and style are strongly related to household income and SAT scores: Evidence from 60,000 undergraduate applications
There is substantial evidence of the relationship between household income and
achievement on the standardized tests often required for college admissions, yet little …
achievement on the standardized tests often required for college admissions, yet little …
Accurate and effective latent concept modeling for ad hoc information retrieval
A keyword query is the representation of the information need of a user, and is the result of a
complex cognitive process which often results in under-specification. We propose an …
complex cognitive process which often results in under-specification. We propose an …
News frame analysis: An inductive mixed-method computational approach
Framing is one of the most central, applicable, and contested theories in communication
research. At the heart of the debate on framing is the question of operationalizing and …
research. At the heart of the debate on framing is the question of operationalizing and …