| Capillarity-driven flows at the continuum limit O Vincent, A Szenicer, AD Stroock Soft Matter 12 (31), 6656-6661, 2016 | 85 | 2016 |
| A machine-learning data set prepared from the NASA solar dynamics observatory mission R Galvez, DF Fouhey, M Jin, A Szenicer, A Muñoz-Jaramillo, ... The Astrophysical Journal Supplement Series 242 (1), 7, 2019 | 82 | 2019 |
| A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance A Szenicer, DF Fouhey, A Munoz-Jaramillo, PJ Wright, R Thomas, ... Science advances 5 (10), eaaw6548, 2019 | 27 | 2019 |
| Preparing for InSight: Evaluation of the blind test for Martian seismicity M van Driel, S Ceylan, JF Clinton, D Giardini, H Alemany, A Allam, ... Seismological Research Letters 90 (4), 1518-1534, 2019 | 21 | 2019 |
| Seismic localization of elephant rumbles as a monitoring approach M Reinwald, B Moseley, A Szenicer, T Nissen-Meyer, S Oduor, F Vollrath, ... Journal of the Royal Society Interface 18 (180), 20210264, 2021 | 15 | 2021 |
| Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings A Szenicer, M Reinwald, B Moseley, T Nissen‐Meyer, Z Mutinda Muteti, ... Remote Sensing in Ecology and Conservation 8 (2), 236-250, 2022 | 10 | 2022 |
| A complexity-driven framework for waveform tomography with discrete adjoints A Szenicer, K Leng, T Nissen-Meyer Geophysical Journal International 223 (2), 1247-1264, 2020 | 7 | 2020 |
| An experience report of executive-level artificial intelligence education in the united arab emirates D Johnson, M Alsharid, R El-Bouri, N Mehdi, F Shamout, A Szenicer, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12766 …, 2022 | 3 | 2022 |
| Inference and machine learning across the spatial scales in geophysics A Szenicer University of Oxford, 2021 | | 2021 |
| DeepEM: A Deep Neural Network for DEM Inversion CMM Cheung, PJ Wright, R Galvez, A Szenicer, R Thomas, M Jin, ... AGU Fall Meeting Abstracts 2018, SM31D-3536, 2018 | | 2018 |
