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)

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)

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)

Design of borehole resistivity measurement acquisition systems using deep learning. - Mostafa Shahriari; Arijit Hazra; David Pardo (CoRR, 2021)

Requirements for Anomaly Detection Techniques for Microservices. - Monika Steidl; Marko Gattringer; Michael Felderer; Rudolf Ramler; Mostafa Shahriari (PROFES, 2022)

Automated machine learning for borehole resistivity measurements. - Mostafa Shahriari; David Pardo; S. Kargaran; Tomás Teijeiro (CoRR, 2022)

How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models? - Mostafa Shahriari; Rudolf Ramler; Lukas Fischer 001 (Mach. Learn. Knowl. Extr., 2022)