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pro vyhledávání: '"Andre, O"'
Autor:
Falcao, Andre O.
Mutual Information (MI) is a powerful statistical measure that quantifies shared information between random variables, particularly valuable in high-dimensional data analysis across fields like genomics, natural language processing, and network scien
Externí odkaz:
http://arxiv.org/abs/2411.19702
Autor:
Noguer, Federico R., Corley, Suber, Pearson, Kyle A., Zellem, Robert T., Simon, Molly N., Burt, Jennifer A., Huckabee, Isabela, August, Prune C., Mansfield, Megan Weiner, Dalba, Paul A., Smith, Peter C. B., Banks, Timothy, Bell, Ira, Daniel, Dominique, Dawson, Lindsay, De Mula, Jesús, Deldem, Marc, Deligeorgopoulos, Dimitrios, Di Sisto, Romina P., Dymock, Roger, Evans, Phil, Follero, Giulio, Fowler, Martin J. F., Fernández-Lajús, Eduardo, Hamrick, Alex, Iannascoli, Nicoletta, Kovacs, Andre O., Kulh, Denis Henrique, Lopresti, Claudio, Marino, Antonio, Martin, Bryan E., Matassa, Paolo Arcangelo, Napoleão, Tasso Augusto, Nastasi, Alessandro, Norris, Anthony, Odasso, Alessandro, Paschalis, Nikolaos I., Pintr, Pavel, Postiglione, Jake, Randolph, Justus, Regembal, François, Rousselot, Lionel, da Silva, Sergio José Gonçalves, Smith, Andrew, Tomacelli, Andrea
We present an updated ephemeris and physical parameters for the exoplanet WASP-77 A b. In this effort, we combine 64 ground- and space-based transit observations, 6 space-based eclipse observations, and 32 radial velocity observations to produce the
Externí odkaz:
http://arxiv.org/abs/2405.19615
Deep learning algorithms have driven expressive progress in many complex tasks. The loss function is a core component of deep learning techniques, guiding the learning process of neural networks. This paper contributes by introducing a consistency lo
Externí odkaz:
http://arxiv.org/abs/2401.10857
Autor:
Nediyedath, Avinash S., Fowler, Martin J., Norris, A., Maidur, Shivaraj R., Pearson, Kyle A., Dixon, S., Lewin, P., Kovacs, Andre O., Odasso, A., Davis, K., Primm, M., Das, P., Martin, Bryan E., Lalla, D.
Publikováno v:
JAAVSO Volume 51 number 2 (2023)
NASA Citizen Scientists have used Exoplanet Transit Interpretation Code (EXOTIC) to reduce 40 sets of time-series images of WASP-12 taken by privately owned telescopes and a 6-inch telescope operated by the Center for Astrophysics | Harvard & Smithso
Externí odkaz:
http://arxiv.org/abs/2306.17473
Estimating the camera's pose given images of a single camera is a traditional task in mobile robots and autonomous vehicles. This problem is called monocular visual odometry and it often relies on geometric approaches that require considerable engine
Externí odkaz:
http://arxiv.org/abs/2305.06121
Extracting single-cell information from microscopy data requires accurate instance-wise segmentations. Obtaining pixel-wise segmentations from microscopy imagery remains a challenging task, especially with the added complexity of microstructured envi
Externí odkaz:
http://arxiv.org/abs/2304.07597
Monocular visual odometry consists of the estimation of the position of an agent through images of a single camera, and it is applied in autonomous vehicles, medical robots, and augmented reality. However, monocular systems suffer from the scale ambi
Externí odkaz:
http://arxiv.org/abs/2210.01723
Autor:
Françani, André O.
The automated analysis of microscopy images is a challenge in the context of single-cell tracking and quantification. This work has as goals the study of the performance of deep learning for segmenting microscopy images and the improvement of the pre
Externí odkaz:
http://arxiv.org/abs/2210.01538
Autor:
Campos, Marília C., Chiessi, Cristiano M., Nascimento, Rodrigo A., Kraft, Laura, Radionovskaya, Svetlana, Skinner, Luke, Dias, Bruna B., Pinho, Tainã M.L., Kochhann, Marcus V.L., Crivellari, Stefano, Mineli, Thays D., Mendes, Vinícius R., Baker, Paul A., Silva, Cleverson G., Sawakuchi, André O.
Publikováno v:
In Quaternary Science Reviews 15 January 2025 348