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Mostafa Shahriari
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Journal Articles
- 2022
- [j1]Mostafa Shahriari, Rudolf Ramler, Lukas Fischer:
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models? Mach. Learn. Knowl. Extr. 4(4): 888-911 (2022)
Conference and Workshop Papers
- 2022
- [c1]Monika Steidl, Marko Gattringer, Michael Felderer, Rudolf Ramler, Mostafa Shahriari:
Requirements for Anomaly Detection Techniques for Microservices. PROFES 2022: 37-52
Informal and Other Publications
- 2022
- [i5]Mostafa Shahriari, David Pardo, S. Kargaran, Tomás Teijeiro:
Automated machine learning for borehole resistivity measurements. CoRR abs/2207.09849 (2022) - 2021
- [i4]Mostafa Shahriari, Arijit Hazra, David Pardo:
Design of borehole resistivity measurement acquisition systems using deep learning. CoRR abs/2101.05623 (2021) - 2020
- [i3]Mostafa Shahriari, David Pardo, J. A. Rivera, Carlos Torres-Verdín, Artzai Picón, Javier Del Ser, S. Ossandón, Victor M. Calo:
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements. CoRR abs/2005.08868 (2020) - [i2]Sergey Alyaev, Mostafa Shahriari, David Pardo, Angel Javier Omella, David Larsen, Nazanin Jahani, Erich Suter:
Modeling extra-deep EM logs using a deep neural network. CoRR abs/2005.08919 (2020) - 2018
- [i1]Mostafa Shahriari, David Pardo, Artzai Picón, Adrian Galdran, Javier Del Ser, Carlos Torres-Verdín:
A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements. CoRR abs/1810.04522 (2018)
Coauthor Index
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