Zobrazeno 1 - 10
of 1 638
pro vyhledávání: '"P. Belenguer"'
We present BALDUR, a novel Bayesian algorithm designed to deal with multi-modal datasets and small sample sizes in high-dimensional settings while providing explainable solutions. To do so, the proposed model combines within a common latent space the
Externí odkaz:
http://arxiv.org/abs/2411.07043
Autor:
Chazelas, Bruno, Ivanisenko, Yevgeniy, Lanotte, Audrey, Diaz, Pablo Santos, Genolet, Ludovic, Sordet, Michael, Hughes, Ian, Lovis, Christophe, Schmidt, Tobias M., Amate, Manuel, Castro, José Peñate, Moreno, Afrodisio Vega, Tenegi, Fabio, Simoes, Roberto, Hernández, Jonay I. González, Osorio, María Rosa Zapatero, Piqueras, Javier, Dávila, Tomás Belenguer, Ortega, Rocío Calvo, González, Roberto Varas, Fernández, Luis Miguel González, Amado, Pedro J., Kern, Jonathan, Dionies, Frank, Bauer, Svend-Marian, Önel, Hakan, Järvinen, Arto, Brynnel, Joar, Füßlein, Christine, Bellido, Olga, Weingrill, Jörg, Giannone, Domenico, Gaessler, Wolfgang, lehmitz, Michael, Kaminski, Adrian, Stilz, Ingo, Sigwarth, Michael, Marconi, Alessandro, Di Marcantonio, Paolo, Oliva, Ernesto, Coretti, Igor, Aliverti, Matteo, Pariani, Giorgio, Cabona, Lorenzo, Radaelli, Edouardo Maria Alberto, Scalera, Marcello, Balestera, Andrea
We present here the preliminary design of the RIZ module, one of the visible spectrographs of the ANDES instrument 1. It is a fiber-fed high-resolution, high-stability spectrograph. Its design follows the guidelines of successful predecessors such as
Externí odkaz:
http://arxiv.org/abs/2406.18317
Autor:
Belenguer-Llorens, Albert, Sevilla-Salcedo, Carlos, Parrado-Hernández, Emilio, Gómez-Verdejo, Vanessa
This paper presents the Relevance Feature and Vector Machine (RFVM), a novel model that addresses the challenges of the fat-data problem when dealing with clinical prospective studies. The fat-data problem refers to the limitations of Machine Learnin
Externí odkaz:
http://arxiv.org/abs/2402.07079
Autor:
Collaboration, JEM-EUSO, Abdellaoui, G., Abe, S., Adams. Jr., J. H., Allard, D., Alonso, G., Anchordoqui, L., Anzalone, A., Arnone, E., Asano, K., Attallah, R., Attoui, H., Pernas, M. Ave, Bachmann, R., Bacholle, S., Bagheri, M., Bakiri, M., Baláz, J., Barghini, D., Bartocci, S., Battisti, M., Bayer, J., Beldjilali, B., Belenguer, T., Belkhalfa, N., Bellotti, R., Belov, A. A., Benmessai, K., Bertaina, M., Bertone, P. F., Biermann, P. L., Bisconti, F., Blaksley, C., Blanc, N., Blin-Bondil, S., Bobik, P., Bogomilov, M., Bolmgren, K., Bozzo, E., Briz, S., Bruno, A., Caballero, K. S., Cafagna, F., Cambié, G., Campana, D., Capdevielle, J. N., Capel, F., Caramete, A., Caramete, L., Caruso, R., Casolino, M., Cassardo, C., Castellina, A., Catalano, O., Cellino, A., Černý, K., Chikawa, M., Chiritoi, G., Christl, M. J., Colalillo, R., Conti, L., Cotto, G., Crawford, H. J., Cremonini, R., Creusot, A., Cummings, A., Gónzalez, A. de Castro, de la Taille, C., del Peral, L., Desiato, J., Damian, A. Diaz, Diesing, R., Dinaucourt, P., Djakonow, A., Djemil, T., Ebersoldt, A., Ebisuzaki, T., Eser, J., Fenu, F., Fernández-González, S., Ferrarese, S., Filippatos, G., Finch, W., Fornaro, C., Fouka, M., Franceschi, A., Franchini, S., Fuglesang, C., Fujii, T., Fukushima, M., Galeotti, P., García-Ortega, E., Gardiol, D., Garipov, G. K., Gascón, E., Gazda, E., Genci, J., Golzio, A., Gorodetzky, P., Gregg, R., Green, A., Guarino, F., Guépin, C., Guzmán, A., Hachisu, Y., Haungs, A., Heigbes, T., Carretero, J. Hernández, Hulett, L., Ikeda, D., Inoue, N., Inoue, S., Isgrò, F., Itow, Y., Jammer, T., Jeong, S., Jochum, J., Joven, E., Judd, E. G., Jung, A., Kajino, F., Kajino, T., Kalli, S., Kaneko, I., Kasztelan, M., Katahira, K., Kawai, K., Kawasaki, Y., Kedadra, A., Khales, H., Khrenov, B. A., Kim, Jeong-Sook, Kim, Soon-Wook, Kleifges, M., Klimov, P. A., Kreykenbohm, I., Krizmanic, J. F., Królik, K., Kungel, V., Kurihara, Y., Kusenko, A., Kuznetsov, E., Lahmar, H., Lakhdari, F., Licandro, J., Campano, L. López, Martínez, F. López, Mackovjak, S., Mahdi, M., Mandát, D., Manfrin, M., Marcelli, L., Marcos, J. L., Marszał, W., Martín, Y., Martinez, O., Mase, K., Mastafa, M., Matthews, J. N., Mebarki, N., Medina-Tanco, G., Menshikov, A., Merino, A., Mese, M., Meseguer, J., Meyer, S. S., Mimouni, J., Miyamoto, H., Mizumoto, Y., Monaco, A., Ríos, J. A. Morales de los, Nachtman, J. M., Nagataki, S., Naitamor, S., Napolitano, T., Neronov, A., Nomoto, K., Nonaka, T., Ogawa, T., Ogio, S., Ohmori, H., Olinto, A. V., Onel, Y., Osteria, G., Otte, A. N., Pagliaro, A., Painter, W., Panasyuk, M. I., Panico, B., Parizot, E., Park, I. H., Pastircak, B., Paul, T., Pech, M., Pérez-Grande, I., Perfetto, F., Peter, T., Picozza, P., Pindado, S., Piotrowski, L. W., Piraino, S., Plebaniak, Z., Pollini, A., Popescu, E. M., Prevete, R., Prévôt, G., Prieto, H., Przybylak, M., Puehlhofer, G., Putis, M., Reardon, P., Reno, M. H., Reyes, M., Ricci, M., Frías, M. D. Rodríguez, Matamala, O. F. Romero, Ronga, F., Sabau, M. D., Saccá, G., Sagawa, H., Sahnoune, Z., Saito, A., Sakaki, N., Salazar, H., Sánchez, J. L., Balanzar, J. C. Sanchez, Santangelo, A., Sanz-Andrés, A., Saprykin, O. A., Sarazin, F., Sato, M., Scagliola, A., Schanz, T., Schieler, H., Schovánek, P., Scotti, V., Serra, M., Sharakin, S. A., Shimizu, H. M., Shinozaki, K., Soriano, J. F., Sotgiu, A., Stan, I., Strharský, I., Sugiyama, N., Supanitsky, D., Suzuki, M., Szabelski, J., Tajima, N., Tajima, T., Takahashi, Y., Takeda, M., Takizawa, Y., Talai, M. C., Tameda, Y., Tenzer, C., Thomas, S. B., Tibolla, O., Tkachev, L. G., Tomida, T., Tone, N., Toscano, S., Traïche, M., Tsunesada, Y., Tsuno, K., Turriziani, S., Uchihori, Y., Valdés-Galicia, J. F., Vallania, P., Valore, L., Vankova-Kirilova, G., Venters, T. M., Vigorito, C., Villaseñor, L., Vlcek, B., von Ballmoos, P., Vrabel, M., Wada, S., Watanabe, J., Watts. Jr., J., Muñoz, R. Weigand, Weindl, A., Wiencke, L., Wille, M., Wilms, J., Yamamoto, T., Yang, J., Yano, H., Yashin, I. V., Yonetoku, D., Yoshida, S., Young, R., Zgura, I. S., Zotov, M. Yu., Marchi, A. Zuccaro
Publikováno v:
Astropart Phys 154 (2024) 102891
The Extreme Universe Space Observatory on a Super Pressure Balloon 1 (EUSO-SPB1) was launched in 2017 April from Wanaka, New Zealand. The plan of this mission of opportunity on a NASA super pressure balloon test flight was to circle the southern hemi
Externí odkaz:
http://arxiv.org/abs/2401.06525
Autor:
Bonilla-Salvador, Diego, Martínez-Sober, Marcelino, Vila-Francés, Joan, Serrano-López, Antonio José, Rodríguez-Belenguer, Pablo, Mateo, Fernando
In the domain of vision-language integration, generating detailed image captions poses a significant challenge due to the lack of curated and rich datasets. This study introduces PixLore, a novel method that leverages Querying Transformers through th
Externí odkaz:
http://arxiv.org/abs/2312.05349
Autor:
A.M. Bertholet, T. Delerue, A.M. Millet, M.F. Moulis, C. David, M. Daloyau, L. Arnauné-Pelloquin, N. Davezac, V. Mils, M.C. Miquel, M. Rojo, P. Belenguer
Publikováno v:
Neurobiology of Disease, Vol 90, Iss , Pp 3-19 (2016)
Mitochondria are dynamic organelles that continually move, fuse and divide. The dynamic balance of fusion and fission of mitochondria determines their morphology and allows their immediate adaptation to energetic needs, keeps mitochondria in good hea
Externí odkaz:
https://doaj.org/article/cfe92a98d7ae41c798d8878ba3df8acd
Publikováno v:
JACS Au, Vol 4, Iss 8, Pp 3284-3294 (2024)
Externí odkaz:
https://doaj.org/article/bd39a2073aac47c79853b32fbdc85f93
Autor:
M. Fortanet García, A. Zahonero Ferriz, H. Beneto Andrés, A. Monclus Beclua, A. Recio Gimeno, L. Popova, A. Belenguer Benavides, M. Campillo Alpera, C. Vilar Fabra
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 319- (2024)
Externí odkaz:
https://doaj.org/article/d7e03fd1b1b94e5d97edbedffc18eb76
Network intrusion detection systems are evolving into intelligent systems that perform data analysis while searching for anomalies in their environment. Indeed, the development of deep learning techniques paved the way to build more complex and effec
Externí odkaz:
http://arxiv.org/abs/2210.16441
Autor:
Natalia Ruiz-Nieto, Antonio Belenguer-Benavides, Anabel Zahonero-Ferriz, Helena Benetó-Andrés, Ana Monclús-Blecua
Publikováno v:
Neurology Perspectives, Vol 4, Iss 4, Pp 100173- (2024)
Introduction: Guillain-Barré syndrome (GBS) is an autoimmune disease that results in demyelination and axonal damage. Although the recovery is good in most patients, 20% remain significantly disabled.Neurofilament light chain (NfL) has been establis
Externí odkaz:
https://doaj.org/article/edce4780989f4aabb7507cbbc397c224