ENBIS 2021 Spring Meeting

Session

Technology

2.4.1

18 May 2021, 14:05

Online

Conveners

Technology

• Eva Scheideler

32. Use of Functional Data Explorer in a mixture design for tribological performance prediction

Mr Victor GUILLER

18/05/2021, 14:05

Data Science in Process Industries

Functional data creates challenges: it generates a lot of measurements, sometimes with redundant information and/or high autocorrelation, sampling frequency may not be regular, and it can be difficult to analyse the information or pattern behind the data.
One very common practice is to summarize the information through some points of interest in the curves: maximum/minimum value, mean, or...

38. Interpretability and Verification in AI

PIERRE HAROUIMI

18/05/2021, 14:25

Data Science in Process Industries

Does Artificial Intelligence (AI) have to be certified?

AI modeling continues to grow in all industries, thus have a real impact on our day-to-day life. The explainability or interpretability of AI models is becoming more and more important nowadays, to understand the black box behind our algorithms.

Engineers and data scientists must understand and explain their models before sharing...

79. 21st Century Screening Designs

Bradley Jones (SAS Institute)

18/05/2021, 14:45

Data Science in Process Industries

The last decade has seen several new developments in the design of experiments. Three of these innovations, available in commercial software, are A-optimal designs, Definitive Screening Designs (DSDs), and Group Orthogonal Supersaturated Designs (GO SSDs). With all these choices the practitioner may wonder which class of designs to use to address a specific study. This presentation will...