Reader small image

You're reading from  Machine Learning Infrastructure and Best Practices for Software Engineers

Product typeBook
Published inJan 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781837634064
Edition1st Edition
Languages
Right arrow
Author (1)
Miroslaw Staron
Miroslaw Staron
author image
Miroslaw Staron

Miroslaw Staron is a professor of Applied IT at the University of Gothenburg in Sweden with a focus on empirical software engineering, measurement, and machine learning. He is currently editor-in-chief of Information and Software Technology and co-editor of the regular Practitioner's Digest column of IEEE Software. He has authored books on automotive software architectures, software measurement, and action research. He also leads several projects in AI for software engineering and leads an AI and digitalization theme at Software Center. He has written over 200 journal and conference articles.
Read more about Miroslaw Staron

Right arrow

References

  • Zheng, A. and A. Casari, Feature engineering for machine learning: principles and techniques for data scientists. 2018: O’Reilly Media, Inc
  • Heaton, J. An empirical analysis of feature engineering for predictive modeling. In SoutheastCon 2016. 2016. IEEE.
  • Staron, M. and W. Meding, Software Development Measurement Programs. Springer. https://doi.org/10.1007/978-3-319-91836-5. Vol. 10. 2018. 3281333.
  • Abran, A., Software metrics and software metrology. 2010: John Wiley & Sons.
  • Meng, Q., et al. Relational autoencoder for feature extraction. In 2017 International joint conference on neural networks (IJCNN). 2017. IEEE.
  • Masci, J., et al. Stacked convolutional auto-encoders for hierarchical feature extraction. In Artificial Neural Networks and Machine Learning, ICANN 2011: 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I 21. 2011. Springer.
  • Rumelhart, D.E., G.E. Hinton, and...
lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
Machine Learning Infrastructure and Best Practices for Software Engineers
Published in: Jan 2024Publisher: PacktISBN-13: 9781837634064

Author (1)

author image
Miroslaw Staron

Miroslaw Staron is a professor of Applied IT at the University of Gothenburg in Sweden with a focus on empirical software engineering, measurement, and machine learning. He is currently editor-in-chief of Information and Software Technology and co-editor of the regular Practitioner's Digest column of IEEE Software. He has authored books on automotive software architectures, software measurement, and action research. He also leads several projects in AI for software engineering and leads an AI and digitalization theme at Software Center. He has written over 200 journal and conference articles.
Read more about Miroslaw Staron