output
20102024
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations

Showing stat.APShow all

6 papers · 1 filter

stat.AP2024★ 1 cited

Monitoring road infrastructures from satellite images in Greater Maputo

Arianna Burzacchi, Matteo Landrò, Simone Vantini

The information about pavement surface type is rarely available in road network databases of developing countries although it represents a cornerstone of the design of efficient mo…

stat.AP2020★ 533 cited

The importance of transparency and reproducibility in artificial intelligence research

Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17

In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…

stat.AP2019★ 99 cited

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM concentration

Veronica J. Berrocal, Yawen Guan, Amanda Muyskens +4

A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited…

stat.AP2019★ 56 cited

Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection

Zekun Xu, Deovrat Kakde, Arin Chaudhuri

In recent years, there have been many practical applications of anomaly detection such as in predictive maintenance, detection of credit fraud, network intrusion, and system failur…

stat.AP2018★ 1 cited

A New SVDD-Based Multivariate Non-parametric Process Capability Index

Deovrat Kakde, Arin Chaudhuri, Diana Shaw

Process capability index (PCI) is a commonly used statistic to measure ability of a process to operate within the given specifications or to produce products which meet the require…

stat.AP2018★ 8 cited

A new bandwidth selection criterion for using SVDD to analyze hyperspectral data

Yuwei Liao, Deovrat Kakde, Arin Chaudhuri +3

This paper presents a method for hyperspectral image classification that uses support vector data description (SVDD) with the Gaussian kernel function. SVDD has been a popular mach…