Zobrazeno 1 - 10
of 112 125
pro vyhledávání: '"A. Möller"'
Publikováno v:
Geochronology, Vol 6, Pp 265-290 (2024)
Sedimentary provenance is a powerful tool for reconstructing convergent margin evolution. However, single mineral approaches, like detrital zircon, have struggled to track sediment input from mafic and metamorphic sources. Detrital rutile complements
Externí odkaz:
https://doaj.org/article/2b3585db01c24eea8c8259e8563aabab
Autor:
L. E. Aguirre Palafox, A. Möller, N. M. McLean, G. A. Ludvigson, C. E. Colombi, I. P. Montañez
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 25, Iss 6, Pp n/a-n/a (2024)
Abstract This study investigates the potential of laser ablation inductively coupled plasma mass spectrometry (LA‐ICP‐MS) U‐Pb dating for carbonate nodules in the Late Triassic Ischigualasto Formation of northwestern Argentina. We establish a f
Externí odkaz:
https://doaj.org/article/9a49a76a2e1d4e68959d3c1e839ab08c
Autor:
J. Demaeyer, J. Bhend, S. Lerch, C. Primo, B. Van Schaeybroeck, A. Atencia, Z. Ben Bouallègue, J. Chen, M. Dabernig, G. Evans, J. Faganeli Pucer, B. Hooper, N. Horat, D. Jobst, J. Merše, P. Mlakar, A. Möller, O. Mestre, M. Taillardat, S. Vannitsem
Publikováno v:
Earth System Science Data, Vol 15, Pp 2635-2653 (2023)
Statistical postprocessing of medium-range weather forecasts is an important component of modern forecasting systems. Since the beginning of modern data science, numerous new postprocessing methods have been proposed, complementing an already very di
Externí odkaz:
https://doaj.org/article/144bb11863294241bac719d5cb6e5518
Autor:
C. F. Campbell, M. A. Mueller, M. H. Taylor, F. Ocakoğlu, A. Möller, G. Métais, P. M. C. Coster, K. C. Beard, A. Licht
Publikováno v:
Geochemistry, Geophysics, Geosystems, Vol 24, Iss 2, Pp n/a-n/a (2023)
Abstract The number of subduction zones that facilitated the northward translation of the Anatolide‐Tauride continental terrane derived from Gondwana to the southern margin of Eurasia at the longitude of western Turkey is debated. We hypothesized t
Externí odkaz:
https://doaj.org/article/beb414ff264f4b30b96809652483eb5c
As wearable-based data annotation remains, to date, a tedious, time-consuming task requiring researchers to dedicate substantial time, benchmark datasets within the field of Human Activity Recognition in lack richness and size compared to datasets av
Externí odkaz:
http://arxiv.org/abs/2408.05169
Autor:
Grigoryan, Aram, Möller, Markus
We introduce a framework where the announcements of a clearinghouse about the allocation process are opaque in the sense that there can be more than one outcome compatible with a realization of type reports. We ask whether desirable properties can be
Externí odkaz:
http://arxiv.org/abs/2408.04509
Autor:
Toy, M., Wiseman, P., Sullivan, M., Scolnic, D., Vincenzi, M., Brout, D., Davis, T. M., Frohmaier, C., Galbany, L., Lidman, C., Lee, J., Kelsey, L., Kessler, R., Möller, A., Popovic, B., Sánchez, B. O., Shah, P., Smith, M., Allam, S., Aguena, M., Alves, O., Bacon, D., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vikram, V., Walker, A. R., Weaverdyck, N.
Using 1533 type Ia supernovae (SNe Ia) from the five-year sample of the Dark Energy Survey (DES), we investigate the effects of projected galactocentric separation between the SNe and their host galaxies on their light curves and standardization. We
Externí odkaz:
http://arxiv.org/abs/2408.03749
Automated Machine Learning (AutoML) significantly simplifies the deployment of machine learning models by automating tasks from data preprocessing to model selection to ensembling. AutoML systems for tabular data often employ post hoc ensembling, whe
Externí odkaz:
http://arxiv.org/abs/2408.02280
Autor:
Hauschild, Johannes, Unfried, Jakob, Anand, Sajant, Andrews, Bartholomew, Bintz, Marcus, Borla, Umberto, Divic, Stefan, Drescher, Markus, Geiger, Jan, Hefel, Martin, Hémery, Kévin, Kadow, Wilhelm, Kemp, Jack, Kirchner, Nico, Liu, Vincent S., Möller, Gunnar, Parker, Daniel, Rader, Michael, Romen, Anton, Scalet, Samuel, Schoonderwoerd, Leon, Schulz, Maximilian, Soejima, Tomohiro, Thoma, Philipp, Wu, Yantao, Zechmann, Philip, Zweng, Ludwig, Mong, Roger S. K., Zaletel, Michael P., Pollmann, Frank
TeNPy (short for 'Tensor Network Python') is a python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to achieve a balance of readability and usability for new-comers, while at
Externí odkaz:
http://arxiv.org/abs/2408.02010
Autor:
Atad, Matan, Schinz, David, Moeller, Hendrik, Graf, Robert, Wiestler, Benedikt, Rueckert, Daniel, Navab, Nassir, Kirschke, Jan S., Keicher, Matthias
Counterfactual explanations (CEs) aim to enhance the interpretability of machine learning models by illustrating how alterations in input features would affect the resulting predictions. Common CE approaches require an additional model and are typica
Externí odkaz:
http://arxiv.org/abs/2408.01571