ENBIS-23 Valencia Conference

Session

CONTRIBUTED Machine Learning 1

11 Sept 2023, 13:30

Auditorium

Conveners

CONTRIBUTED Machine Learning 1

• Tim Robinson (University of Wyoming)

128. Data Science and Statistical Machine Learning in Industry 4.0: Personal Reflections

Alberto J. Ferrer-Riquelme (Universidad Politecnica de Valencia)

11/09/2023, 13:30

Data science

Data Science has emerged to deal with the so-called (big) data tsunami. This has led to the Big Data environment, characterized by the four Vs: volume, variety, velocity, and veracity. We live in a new era of digitalization where there is a belief that due to the amount and speed of data production, new technologies coming from artificial intelligence could now solve important scientific and...

161. Large Batch Sampling for Boundary Estimation Using Active Learning: A Case Study from Additive Manufacturing

Stefania Cacace (Politecnico di Milano)

11/09/2023, 14:10

Machine learning

This paper explores the problem of estimating the contour location of a computationally expensive function using active learning. Active learning has emerged as an efficient solution for exploring the parameter space when minimizing the training set is necessary due to costly simulations or experiments.
The active learning approach involves selecting the next evaluation point sequentially to...