Zobrazeno 1 - 10
of 1 965
pro vyhledávání: '"Jarvis, —d"'
Autor:
Killestein, T. L., Kelsey, L., Wickens, E., Nuttall, L., Lyman, J., Krawczyk, C., Ackley, K., Dyer, M. J., Jiménez-Ibarra, F., Ulaczyk, K., O'Neill, D., Kumar, A., Steeghs, D., Galloway, D. K., Dhillon, V. S., O'Brien, P., Ramsay, G., Noysena, K., Kotak, R., Breton, R. P., Pallé, E., Pollacco, D., Awiphan, S., Belkin, S., Chote, P., Clark, P., Coppejans, D., Duffy, C., Eyles-Ferris, R., Godson, B., Gompertz, B., Graur, O., Irawati, P., Jarvis, D., Julakanti, Y., Kennedy, M. R., Kuncarayakti, H., Levan, A., Littlefair, S., Magee, M., Mandhai, S., Sánchez, D. Mata, Mattila, S., McCormac, J., Mullaney, J., Munday, J., Patel, M., Pursiainen, M., Rana, J., Sawangwit, U., Stanway, E., Starling, R., Warwick, B., Wiersema, K.
Time-domain astrophysics continues to grow rapidly, with the inception of new surveys drastically increasing data volumes. Democratised, distributed approaches to training sets for machine learning classifiers are crucial to make the most of this tor
Externí odkaz:
http://arxiv.org/abs/2406.02334
Akademický článek
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Autor:
Badorrek, P., Broeders, M., Boersma, W.G., Chetta, A., Cukier, A., D'Amato, M., Djukanovic, R., Foschino, M.P., Gessner, C., Hanania, N., Martin, R., Milleri, S., Olivenstein, R., Paggiaro, P., Pizzichini, E., Plaza Moral, V., Postma, D.S., Scichilone, N., Schilz, R., Spanevello, A., Stelmach, R., Vroegop, J.S., Usmani, O.S., Zhang, Q., Ahmed, H., Allen, D., Ballereau, S., Batuwitage, M.K., Bedding, A., Behndig, A.F., Berglind, A., Berton, A., Bigler, J., Boedigheimer, M.J., Bønnelykke, K., Brinkman, P., Bush, A., Campagna, D., Casaulta, C., Chaiboonchoe, A., Davison, T., De Meulder, B., Delin, I., Dennison, P., Dodson, P., El Hadjam, L., Erzen, D., Faulenbach, C., Fichtner, K., Fitch, N., Formaggio, E., Gahlemann, M., Galffy, G., Garissi, D., Garret, T., Guillmant-Farry, E., Henriksson, E., Hoda, U., Hohlfeld, J.M., Hu, X., James, A., Johnson, K., Jullian, N., Kerry, G., Klüglich, M., Knowles, R., Konradsen, J.R., Kretsos, K., Krueger, L., Lantz, A-S., Larminie, C., Latzin, P., Lefaudeux, D., Lemonnier, N., Lowe, L.A., Lutter, R., Manta, A., Mazein, A., McEvoy, L., Menzies-Gow, A., Mores, N., Murray, C.S., Nething, K., Nihlén, U., Niven, R., Nordlund, B., Nsubuga, S., Pellet, J., Pison, C., Praticò, G., Puig Valls, M., Riemann, K., Rocha, J.P., Rossios, C., Santini, G., Sagi, M., Scott, S., Sehgal, N., Selby, A., Söderman, P., Sogbesan, A., Spycher, F., Stephan, S., Stokholm, J., Sunther, M., Szentkereszty, M., Tamasi, L., Tariq, K., Valente, S, Van Aalderen, W.M., Van Drunen, C.M., Van Eyll, J., Vyas, A., Yu, W., Zetterguist, W., Zolkipli, Z., Zwinderman, A.H., Agusti, A., Wedzicha, J.A., Donaldson, G.C., Faner, R., Breyer-Kohansal, R., Maitland-van der Zee, A.H., Melén, E., Allinson, J.P., Vanfleteren, L.E.G.W., Vestbo, J., Adcock, I.M., Lahousse, L., Van den Berge, M., Alter, P., Barbe, F., Brightling, C.E., Breyer, M.K., Burghuber, O.C., Casas, M., Chung, K.F., Cosío, B.G., Crispi, F., De Batlle, J., Fitting, J.W., Garcia, J., Hallberg, J., Hartl, S., Jarvis, D., Mathioudakis, A., Nicod, L., Papi, A., Ritchie, A., Sigsgaard, T., Sterk, P.J., Ullman, A., Vellvé, K., Vogelmeier, C., Wheelock, A.M., Wheelock, C.E., Kole, Tessa M *, Vanden Berghe, Elise, Kraft, Monica, Vonk, Judith M, Nawijn, Martijn C, Siddiqui, Salman, Sun, Kai, Fabbri, Leonardo M, Rabe, Klaus F, Chung, Kian Fan, Nicolini, Gabriele, Papi, Alberto, Brightling, Chris, Singh, Dave, van der Molen, Thys, Dahlén, Sven-Erik, Agusti, Alvar, Faner, Rosa, Wedzicha, Jadwiga A, Donaldson, Gavin C, Adcock, Ian M, Lahousse, Lies, Kerstjens, Huib A M, van den Berge, Maarten
Publikováno v:
In The Lancet Respiratory Medicine January 2023 11(1):55-64
This paper examines fundamental error characteristics for a general class of matrix completion problems, where the matrix of interest is a product of two a priori unknown matrices, one of which is sparse, and the observations are noisy. Our main cont
Externí odkaz:
http://arxiv.org/abs/1510.00701
Publikováno v:
International Journal of COPD, Vol Volume 15, Pp 3079-3091 (2020)
Hannah R Whittaker,1 Jeanne M Pimenta,2 Deborah Jarvis,1 Steven J Kiddle,3 Jennifer K Quint1 1Respiratory Epidemiology, Occupational Medicine and Public Health, National Heart and Lung Institute, Imperial College London, London, UK; 2Epidemiology (Va
Externí odkaz:
https://doaj.org/article/86ed68bf2386481d8a419c4d9e95a559
Publikováno v:
In JSES International September 2020 4(3):584-586
This paper proposes a strategy for the detection and triangulation of structural anomalies in solid media. The method revolves around the construction of sparse representations of the medium's dynamic response, obtained by learning instructive dictio
Externí odkaz:
http://arxiv.org/abs/1405.2496
Autor:
Gonella, Stefano, Haupt, Jarvis D.
Publikováno v:
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, v. 60, n.12, pp. 2553 - 2565
This work proposes an agnostic inference strategy for material diagnostics, conceived within the context of laser-based non-destructive evaluation methods, which extract information about structural anomalies from the analysis of acoustic wavefields
Externí odkaz:
http://arxiv.org/abs/1307.5102
Autor:
Rambhatla, Sirisha, Haupt, Jarvis D.
This work examines a semi-blind single-channel source separation problem. Our specific aim is to separate one source whose local structure is approximately known, from another a priori unspecified background source, given only a single linear combina
Externí odkaz:
http://arxiv.org/abs/1212.0451
Publikováno v:
In Clinical Radiology July 2019 74(7):527-533