Principles and practice of explainable machine learning
Artificial intelligence (AI) provides many opportunities to improve private and public life.
Discovering patterns and structures in large troves of data in an automated manner is a core …
Discovering patterns and structures in large troves of data in an automated manner is a core …
Artificial intelligence and machine learning in pathology: the present landscape of supervised methods
HH Rashidi, NK Tran, EV Betts… - Academic …, 2019 - journals.sagepub.com
Increased interest in the opportunities provided by artificial intelligence and machine
learning has spawned a new field of health-care research. The new tools under …
learning has spawned a new field of health-care research. The new tools under …
[BOOK][B] Habitat suitability and distribution models: with applications in R
This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …
evaluation and prediction required for understanding and predicting future patterns of …
The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus
MUG Kraemer, ME Sinka, KA Duda, AQN Mylne… - elife, 2015 - elifesciences.org
Dengue and chikungunya are increasing global public health concerns due to their rapid
geographical spread and increasing disease burden. Knowledge of the contemporary …
geographical spread and increasing disease burden. Knowledge of the contemporary …
A working guide to boosted regression trees
Summary 1 Ecologists use statistical models for both explanation and prediction, and need
techniques that are flexible enough to express typical features of their data, such as …
techniques that are flexible enough to express typical features of their data, such as …
Soil quality both increases crop production and improves resilience to climate change
Interactions between soil quality and climate change may influence the capacity of
croplands to produce sufficient food. Here, we address this issue by using a new dataset of …
croplands to produce sufficient food. Here, we address this issue by using a new dataset of …
Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score
PM Ridker, JE Buring, N Rifai, NR Cook - Jama, 2007 - jamanetwork.com
ContextDespite improved understanding of atherothrombosis, cardiovascular prediction
algorithms for women have largely relied on traditional risk factors. ObjectiveTo develop and …
algorithms for women have largely relied on traditional risk factors. ObjectiveTo develop and …
GIS-based groundwater potential map** using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
Groundwater is considered one of the most valuable fresh water resources. The main
objective of this study was to produce groundwater spring potential maps in the Koohrang …
objective of this study was to produce groundwater spring potential maps in the Koohrang …
Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
In recent years, financial institutions (FIs) have tentatively utilized supply chain finance (SCF)
as a means of solving the financing issues of small and medium-sized enterprises (SMEs) …
as a means of solving the financing issues of small and medium-sized enterprises (SMEs) …
Forest productivity increases with evenness, species richness and trait variation: a global meta‐analysis
Although there is ample support for positive species richness–productivity relationships in
planted grassland experiments, a recent 48‐site study found no diversity–productivity …
planted grassland experiments, a recent 48‐site study found no diversity–productivity …