Citation Impact
Citing Papers
COVID-19 lockdowns cause global air pollution declines
2020 Standout
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
The role of artificial intelligence in healthcare: a structured literature review
2021 Standout
A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany
2020
Associations between respiratory health and ozone and fine particulate matter during a wildfire event
2019
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
2021 Standout
A Bibliometric Analysis of Heart Disease Detection using Artificial Intelligence Techniques: Trends, Influential Works, and Research Gaps
2023 Standout
Approximate and Situated Causality in Deep Learning
2020
Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018
2019
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
A Survey of Predictive Modeling on Imbalanced Domains
2016
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
2020 Standout
Works of Colin Bellinger being referenced
A systematic review of data mining and machine learning for air pollution epidemiology
2017
Synthetic Oversampling for Advanced Radioactive Threat Detection
2015
Active Learning for One-Class Classification
2015