| Sparsity-promoting method to estimate the dispersion curve of surface-wave group velocity RDD Esfahani, R Askari, A Gholami Geophysics 84 (1), V33-V43, 2019 | 12 | 2019 |
| Exploring the Dimensionality of Ground‐Motion Data by Applying Autoencoder Techniques RDD Esfahani, K Vogel, F Cotton, M Ohrnberger, F Scherbaum, ... Bulletin of the Seismological Society of America 111 (3), 1563-1576, 2021 | 7 | 2021 |
| An inexact augmented Lagrangian method for nonlinear dispersion curve inversion using Dix-type global linear approximation R Dokht Dolatabadi Esfahani, A Gholami, M Ohrnberger Geophysics 85 (5), 1-38, 2020 | 7 | 2020 |
| TFCGAN: Nonstationary Ground‐Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods RDD Esfahani, F Cotton, M Ohrnberger, F Scherbaum Bulletin of the Seismological Society of America 113 (1), 453-467, 2023 | 6 | 2023 |
| Using sparse S transform and sparse-slant stacking for the estimation of the group velocity of surface waves R Dolatabadi, A Gholami, R Askari SEG International Exposition and Annual Meeting, SEG-2017-17641885, 2017 | 2 | 2017 |
| Identification of near-surface fractures via seismic-radial anisotropy JY Jeng, R Askari, S Chatterjee, R Dolatabadi SEG International Exposition and Annual Meeting, SEG-2018-2996340, 2018 | 1 | 2018 |
| Detailed clustering of continuous seismic waveforms with deep scattering networks: a case study on the Ridgecrest earthquake sequence R Esfahani, M Campillo, L Seydoux, S Mouaoued, QY Wang EGU24, 2024 | | 2024 |
| Revealing and interpreting patterns from continuous seismic data with unsupervised learning L Seydoux, R Steinmann, S Mouaoued, R Esfahani, M Campillo EGU24, 2024 | | 2024 |
| Failures, successes and challenges of machine-learning-based engineering ground-motion models F Cotton, R Esfahani, H Lilienkamp EGU24, 2024 | | 2024 |
| Predicting time-histories using machine learning and hybrid-datasets (simulations and observations) R Esfahani, F Cotton, F Scherbaum, M Ohrnberger XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023 | | 2023 |
| Prediction of Near-Field Time-Histories Using Machine Learning and a Hybrid Dataset (Calibrated Physics-Based Ground-Motion Simulations and Observations) R Esfahani, F Cotton, F Scherbaum, M Ohrnberger SSA Annual Meeting 2023, 2023 | | 2023 |
| Temporal Variations of Shallow Material Properties During the Kumamoto Earthquake Sequence RDD Esfahani, F Cotton, F Bonilla EGU General Assembly Conference Abstracts, EGU22-2984, 2022 | | 2022 |
| Time-dependent monitoring of near-surface and ground motion modelling: developing new data processing approaches based on Music Information Retrieval (MIR) strategies R Esfahani https://doi.org/10.25932/publishup-56767, 2022 | | 2022 |
| Seperating Intrinsic and Scattering Attenuation using Rotational Sensor Recordings of Vibroseis Sweeps G Izgi, E Eibl, R Dokht Dolatabadi Esfahani, F Bernauer, J Wassermann, ... AGU Fall Meeting Abstracts 2021, S25H-10, 2021 | | 2021 |
| An efficient physic-based event detection algorithm inspired by music information retrieval R Dokht Dolatabadi Esfahani, F Scherbaum, F Cotton, M Ohrnberger EGU General Assembly Conference Abstracts, EGU21-13572, 2021 | | 2021 |
| An efficient physic-based event detection algorithm inspired by music information retrieval RDD Esfahani, F Scherbaum, F Cotton, M Ohrnberger EGU21, 2021 | | 2021 |
| Exploring the dimensionality of ground motion data R Dokht Dolatabadi Esfahani, K Vogel, F Cotton, M Ohrnberger, ... EGU General Assembly Conference Abstracts, 6911, 2020 | | 2020 |
| Exploring the dimensionality of ground motion data RDD Esfahani, K Vogel, F Cotton, M Ohrnberger, F Scherbaum, ... EGU2020, 2020 | | 2020 |
| Accurate estimation of the group velocity of surface waves using sparse S-transform and sparse slant-stacking RDD Esfahani, A Gholami, R Askari 79th EAGE Conference and Exhibition 2017 2017 (1), 1-3, 2017 | | 2017 |
| Novel Representations of Traditional Georgian Vocal Music in Times of Online Access F Scherbaum, S Rosenzweig, RDD Esfahani, N Mzhavanadze, S Schwär, ... | | |
Matthias OhrnbergerUniversity of PotsdamVerified email at geo.uni-potsdam.de
