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of 6 588
pro vyhledávání: '"Tempel A"'
Explaining machine learning (ML) models using eXplainable AI (XAI) techniques has become essential to make them more transparent and trustworthy. This is especially important in high-stakes domains like healthcare, where understanding model decisions
Externí odkaz:
http://arxiv.org/abs/2412.16003
Autor:
Hernández-Monteagudo, C., Aricò, G., Chaves-Montero, J., Abramo, L. R., Arnalte-Mur, P., Hernán-Caballero, A., López-Sanjuan, C., Marra, V., von Marttens, R., Tempel, E., Cenarro, J., Cristóbal-Hornillos, D., Marín-Franch, A., Moles, M., Varela, J., Ramió, H. Vázquez, Alcaniz, J., Dupke, R., Ederoclite, A., Sodré Jr., L., Angulo, R. E.
Observational and/or astrophysical systematics modulating the observed number of luminous tracers can constitute a major limitation in the cosmological exploitation of surveys of the large scale structure of the universe. Part of this limitation aris
Externí odkaz:
http://arxiv.org/abs/2412.14827
Autor:
Hernández-Monteagudo, C., Balaguera-Antolínez, A., von Marttens, R., del Pino, A., Hernán-Caballero, A., Abramo, L. R., Chaves-Montero, J., López-Sanjuan, C., Marra, V., Tempel, E., Aricò, G., Cenarro, J., Cristóbal-Hornillos, D., Marín-Franch, A., Moles, M., Varela, J., Ramió, H. Vázquez, Alcaniz, J., Dupke, R., Ederoclite, A., Sodré Jr., L., Angulo, R. E.
The {\it Javalambre Photometric Local Universe Survey} (J-PLUS) is a {\it spectro-photometric} survey covering about 3,000~deg$^2$ in its third data release (DR3), and containing about 300,000 galaxies with high quality ({\it odds}$>0.8$) photometric
Externí odkaz:
http://arxiv.org/abs/2412.14826
Autor:
Popesso, P., Marini, I., Dolag, K., Lamer, G., Csizi, B., Vladutescu-Zopp, S., Biffi, V., Robothan, A., Bravo, M., Tempel, E., Yang, X., Li, Q., Biviano, A., Lovisari, L., Ettori, S., Angelinelli, M., Driver, S., Toptun, V., Dev, A., Mazengo, D., Merloni, A., Mroczkowski, T., Comparat, J., Zhang, Y., Ponti, G., Bulbul, E.
Hydrodynamical simulation predictions are often compared with observational data without fully accounting for systematics and biases specific to observational techniques. Using the magnetohydrodynamical simulation Magneticum, we generate mock eROSITA
Externí odkaz:
http://arxiv.org/abs/2411.16546
Autor:
Marini, I., Popesso, P., Dolag, K., Bravo, M., Robotham, A., Tempel, E., Li, Q., Yang, X., Csizi, B., Behroozi, P., Biffi, V., Biviano, A., Lamer, G., Malavasi, N., Mazengo, D., Toptun, V.
Wide-field cosmological surveys provide hundreds of thousands of spectroscopically confirmed galaxy groups and clusters, valuable for tracing baryonic matter distribution. However, controlling systematics in identifying host dark matter halos and est
Externí odkaz:
http://arxiv.org/abs/2411.16455
Autor:
Sifón, Cristóbal, Finoguenov, Alexis, Haines, Christopher P., Jaffé, Yara, Amrutha, B. M., Demarco, Ricardo, Lima, E. V. R., Lima-Dias, Ciria, Méndez-Hernández, Hugo, Merluzzi, Paola, Monachesi, Antonela, Teixeira, Gabriel S. M., Tejos, Nicolas, Araya-Araya, Pablo, Argudo-Fernández, Maria, Baier-Soto, Raúl, Bilton, Lawrence E., Bom, C. R., Calderón, Juan Pablo, Cassarà, Letizia P., Comparat, Johan, Courtois, H. M., D'Ago, Giuseppe, Dupuy, Alexandra, Fritz, Alexander, Haack, Rodrigo F., Herpich, Fabio R., Ibar, E., Kuchner, Ulrike, Lopes, Amanda R., Lopez, Sebastian, Lösch, Elismar, McGee, Sean, de Oliveira, C. Mendes, Morelli, Lorenzo, Moretti, Alessia, Pallero, Diego, Piraino-Cerda, Franco, Pompei, Emanuela, Rescigno, U., Smith, Rory, Castelli, Analía V. Smith, Sodré Jr, Laerte, Tempel, Elmo
CHANCES, the CHileAN Cluster galaxy Evolution Survey, will study the evolution of galaxies in and around ${\sim}$150 massive galaxy clusters, from the local universe out to z=0.45. CHANCES will use the new 4MOST Spectroscopic Survey Facility on the V
Externí odkaz:
http://arxiv.org/abs/2411.13655
In Human Activity Recognition (HAR), understanding the intricacy of body movements within high-risk applications is essential. This study uses SHapley Additive exPlanations (SHAP) to explain the decision-making process of Graph Convolution Networks (
Externí odkaz:
http://arxiv.org/abs/2411.03714
3D scene understanding is crucial for facilitating seamless interaction between digital devices and the physical world. Real-time capturing and processing of the 3D scene are essential for achieving this seamless integration. While existing approache
Externí odkaz:
http://arxiv.org/abs/2410.02323
The neurological condition known as cerebral palsy (CP) first manifests in infancy or early childhood and has a lifelong impact on motor coordination and body movement. CP is one of the leading causes of childhood disabilities, and early detection is
Externí odkaz:
http://arxiv.org/abs/2409.20060
Autor:
Cook, Todd L., Bandi, Behnood, Philipsborn, Sam, Loveday, Jon, Bellstedt, Sabine, Driver, Simon P., Robotham, Aaron S. G., Bilicki, Maciej, Kaur, Gursharanjit, Tempel, Elmo, Baldry, Ivan, Gruen, Daniel, Longhetti, Marcella, Iovino, Angela, Holwerda, Benne W., Demarco, Ricardo
Publikováno v:
MNRAS 535(3), 2024, 2129 2148
Star-galaxy separation is a crucial step in creating target catalogues for extragalactic spectroscopic surveys. A classifier biased towards inclusivity risks including spurious stars, wasting fibre hours, while a more conservative classifier might ov
Externí odkaz:
http://arxiv.org/abs/2406.11611