Mostafa Shahriari

According to our database, Mostafa Shahriari authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?

Mostafa Shahriari, Rudolf Ramler, Lukas Fischer

Mach. Learn. Knowl. Extr., December, 2022

Automated machine learning for borehole resistivity measurements.

Mostafa Shahriari, David Pardo, S. Kargaran, Tomás Teijeiro

CoRR, 2022

Requirements for Anomaly Detection Techniques for Microservices.

Monika Steidl, Marko Gattringer, Michael Felderer, Rudolf Ramler, Mostafa Shahriari

Proceedings of the Product-Focused Software Process Improvement, 2022

2021

Design of borehole resistivity measurement acquisition systems using deep learning.

Mostafa Shahriari, Arijit Hazra, David Pardo

CoRR, 2021

2020

Modeling extra-deep EM logs using a deep neural network.

Sergey Alyaev, Mostafa Shahriari, David Pardo, Angel Javier Omella, David Larsen, Nazanin Jahani, Erich Suter

CoRR, 2020

Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements.

Mostafa Shahriari, David Pardo, J. A. Rivera, Carlos Torres-Verdín, Artzai Picón, Javier Del Ser, S. Ossandón, Victor M. Calo

CoRR, 2020

2018

A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements.

Mostafa Shahriari, David Pardo, Artzai Picón, Adrian Galdran, Javier Del Ser, Carlos Torres-Verdín

CoRR, 2018