Zobrazeno 1 - 10
of 9 114
pro vyhledávání: '"Pizarro P"'
In this study, we investigate if noise-augmented training can concurrently improve adversarial robustness in automatic speech recognition (ASR) systems. We conduct a comparative analysis of the adversarial robustness of four different state-of-the-ar
Externí odkaz:
http://arxiv.org/abs/2409.01813
This paper presents a natural language processing (NLP) approach to the problem of thoroughly comprehending song lyrics, with particular attention on genre classification, view-based success prediction, and approximate release year. Our tests provide
Externí odkaz:
http://arxiv.org/abs/2407.21068
Publikováno v:
IEEE Transactions on Education ( Volume: 67, Issue: 2, April 2024)
While computational thinking arises as an essential skill worldwide, formal primary and secondary education in Latin America rarely incorporates mechanisms to develop it in their curricula. The extent to which students in the region acquire computati
Externí odkaz:
http://arxiv.org/abs/2407.15833
We investigate the task of identifying situations of distracted driving through analysis of in-car videos. To tackle this challenge we introduce a multi-task video transformer that predicts both distracted actions and driver pose. Leveraging VideoMAE
Externí odkaz:
http://arxiv.org/abs/2407.13750
One use of Autonomous Underwater Vehicles (AUVs) is the monitoring of habitats associated with threatened, endangered and protected marine species, such as the handfish of Tasmania, Australia. Seafloor imagery collected by AUVs can be used to identif
Externí odkaz:
http://arxiv.org/abs/2406.01932
Autor:
Fortier, A., Simon, A. E., Broeg, C., Olofsson, G., Deline, A., Wilson, T. G., Maxted, P. F. L., Brandeker, A., Cameron, A. Collier, Beck, M., Bekkelien, A., Billot, N., Bonfanti, A., Bruno, G., Cabrera, J., Delrez, L., Demory, B. -O., Futyan, D., Florén, H. -G., Günther, M. N., Heitzmann, A., Hoyer, S., Isaak, K. G., Sousa, S. G., Stalport, M., Turin, A., Verhoeve, P., Akinsanmi, B., Alibert, Y., Alonso, R., Bánhidi, D., Bárczy, T., Barrado, D., Barros, S. C., Baumjohann, W., Baycroft, T., Beck, T., Benz, W., Bíró, B. I., Bódi, A., Bonfils, X., Borsato, L., Charnoz, S., Cseh, B., Csizmadia, Sz., Csányi, I., Cubillos, P. E., Davies, M. B., Davis, Y. T., Deleuil, M., Demangeon, O. D. S., Derekas, A., Dransfield, G., Ducrot, E., Ehrenreich, D., Erikson, A., Fariña, C., Fossati, L., Fridlund, M., Gandolfi, D., Garai, Z., Garcia, L., Gillon, M., Chew, Y. Gómez Maqueo, Gómez-Muñoz, M. A., Granata, V., Güdel, M., Guterman, P., Hegedüs, T., Helling, Ch., Jehin, E., Kalup, Cs., Kilkenny, D., Kiss, L., Kriskovics, L., Lam, K. W. F., Laskar, J., Etangs, A. Lecavelier des, Lendl, M., Pina, A. Lopez, Luntzer, A., Magrin, D., Miller, N. J., Contreras, D. Modrego, Mordasini, C., Munari, M., Murray, C. A., Nascimbeni, V., Ottacher, H., Ottensamer, R., Pagano, I., Pál, A., Pallé, E., Pasetti, A., Pedersen, P., Peter, G., Petrucci, R., Piotto, G., Pizarro-Rubio, A., Pollacco, D., Pribulla, T., Queloz, D., Ragazzoni, R., Rando, N., Rauer, H., Ribas, I., Sabin, L., Santos, N. C., Scandariato, G., Schanche, N., Schroffenegger, U., Scutt, O. J., Sebastian, D., Ségransan, D., Seli, B., Smith, A. M. S., Southworth, R., Standing, M. R., Szabó, M. Gy., Szakáts, R., Thomas, N., Timmermans, M., Triaud, A. H. M. J., Udry, S., Van Grootel, V., Venturini, J., Villaver, E., Vinkó, J., Walton, N. A., Wells, R., Wolter, D.
CHEOPS is a space telescope specifically designed to monitor transiting exoplanets orbiting bright stars. In September 2023, CHEOPS completed its nominal mission and remains in excellent operational conditions. The mission has been extended until the
Externí odkaz:
http://arxiv.org/abs/2406.01716
Autor:
Moretti, T., Milanesio, M., Cardella, R., Kugathasan, T., Picardi, A., Semendyaev, I., Elviretti, M., Rücker, H., Nakamura, K., Takubo, Y., Togawa, M., Cadoux, F., Cardarelli, R., Cecconi, L., Débieux, S., Favre, Y., Fenoglio, C. A., Ferrere, D., Gonzalez-Sevilla, S., Iodice, L., Kotitsa, R., Magliocca, C., Nessi, M., Pizarro-Medina, A., Iglesias, J. Sabater, Saidi, J., Pinto, M. Vicente Barreto, Zambito, S., Paolozzi, L., Iacobucci, G.
Samples of the monolithic silicon pixel ASIC prototype produced in 2022 within the framework of the Horizon 2020 MONOLITH ERC Advanced project were irradiated with 70 MeV protons up to a fluence of 1 x 1016 neq/cm2, and then tested using a beam of 12
Externí odkaz:
http://arxiv.org/abs/2404.12885
Neural topic models can successfully find coherent and diverse topics in textual data. However, they are limited in dealing with multimodal datasets (e.g., images and text). This paper presents the first systematic and comprehensive evaluation of mul
Externí odkaz:
http://arxiv.org/abs/2403.17308
Autor:
FASER Collaboration, Abraham, Roshan Mammen, Anders, John, Antel, Claire, Ariga, Akitaka, Ariga, Tomoko, Atkinson, Jeremy, Bernlochner, Florian U., Boeckh, Tobias, Boyd, Jamie, Brenner, Lydia, Burger, Angela, Cadoux, Franck, Cardella, Roberto, Casper, David W., Cavanagh, Charlotte, Chen, Xin, Coccaro, Andrea, Debieux, Stephane, D'Onofrio, Monica, Desai, Ansh, Dmitrievsky, Sergey, Eley, Sinead, Favre, Yannick, Fellers, Deion, Feng, Jonathan L., Fenoglio, Carlo Alberto, Ferrere, Didier, Fieg, Max, Filali, Wissal, Fujimori, Haruhi, Garabaglu, Ali, Gibson, Stephen, Gonzalez-Sevilla, Sergio, Gornushkin, Yuri, Gwilliam, Carl, Hayakawa, Daiki, Hsu, Shih-Chieh, Hu, Zhen, Iacobucci, Giuseppe, Inada, Tomohiro, Iodice, Luca, Jakobsen, Sune, Joos, Hans, Kajomovitz, Enrique, Kanai, Takumi, Kawahara, Hiroaki, Keyken, Alex, Kling, Felix, Kock, Daniela, Kontaxakis, Pantelis, Kose, Umut, Kotitsa, Rafaella, Kuehn, Susanne, Kugathasan, Thanushan, Lefebvre, Helena, Levinson, Lorne, Li, Ke, Liu, Jinfeng, Lutz, Margaret S., MacDonald, Jack, Magliocca, Chiara, Martinelli, Fulvio, McCoy, Lawson, McFayden, Josh, Medina, Andrea Pizarro, Milanesio, Matteo, Moretti, Theo, Munker, Magdalena, Nakamura, Mitsuhiro, Nakano, Toshiyuki, Neuhaus, Friedemann, Nevay, Laurie, Nonaka, Motoya, Okui, Kazuaki, Ohashi, Ken, Otono, Hidetoshi, Pang, Hao, Paolozzi, Lorenzo, Petersen, Brian, Prim, Markus, Queitsch-Maitland, Michaela, Rokujo, Hiroki, Ruiz-Choliz, Elisa, Rubbia, André, Sabater-Iglesias, Jorge, Sato, Osamu, Scampoli, Paola, Schmieden, Kristof, Schott, Matthias, Sfyrla, Anna, Shamim, Mansoora, Shively, Savannah, Takubo, Yosuke, Tarannum, Noshin, Theiner, Ondrej, Torrence, Eric, Vasina, Svetlana, Vormwald, Benedikt, Wang, Di, Wang, Yuxiao, Welch, Eli, Zahorec, Samuel, Zambito, Stefano, Zhang, Shunliang
Publikováno v:
Phys. Rev. Lett. 133, 021802 (2024)
This paper presents the first results of the study of high-energy electron and muon neutrino charged-current interactions in the FASER$\nu$ emulsion/tungsten detector of the FASER experiment at the LHC. A subset of the FASER$\nu$ volume, which corres
Externí odkaz:
http://arxiv.org/abs/2403.12520
Fine-tuning the pre-trained model with active learning holds promise for reducing annotation costs. However, this combination introduces significant computational costs, particularly with the growing scale of pre-trained models. Recent research has p
Externí odkaz:
http://arxiv.org/abs/2403.01101