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

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Published inJan 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781837634064
Edition1st Edition
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Miroslaw Staron
Miroslaw Staron
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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.
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References

  • Tao, J. et al., An object detection system based on YOLO in traffic scene. In 2017 6th International Conference on Computer Science and Network Technology (ICCSNT). 2017. IEEE.
  • Artan, C.T. and T. Kaya, Car Damage Analysis for Insurance Market Using Convolutional Neural Networks. In International Conference on Intelligent and Fuzzy Systems. 2019. Springer.
  • Nakaura, T. et al., A primer for understanding radiology articles about machine learning and deep learning. Diagnostic and Interventional Imaging, 2020. 101(12): p. 765-770.
  • Bradski, G., The OpenCV Library. Dr. Dobb’s Journal: Software Tools for the Professional Programmer, 2000. 25(11): p. 120-123.
  • Memon, J. et al., Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR). IEEE Access, 2020. 8: p. 142642-142668.
  • Mosin, V. et al., Comparing autoencoder-based approaches for anomaly detection in highway driving scenario images. SN Applied Sciences...
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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