Zobrazeno 1 - 10
of 2 275
pro vyhledávání: '"P. Małka"'
Autor:
Hershcovitch, Moshik, Wood, Andrew, Choshen, Leshem, Girmonsky, Guy, Leibovitz, Roy, Ennmouri, Ilias, Malka, Michal, Chin, Peter, Sundararaman, Swaminathan, Harnik, Danny
With the growth of model sizes and the scale of their deployment, their sheer size burdens the infrastructure requiring more network and more storage to accommodate these. While there is a vast model compression literature deleting parts of the model
Externí odkaz:
http://arxiv.org/abs/2411.05239
Cancer Screening has been widely recognized as an effective strategy for preventing the disease. Despite its effectiveness, determining when to start screening is complicated, because starting too early increases the number of screenings over lifetim
Externí odkaz:
http://arxiv.org/abs/2409.02888
Autor:
Susnjak, Teo, McIntosh, Timothy R., Barczak, Andre L. C., Reyes, Napoleon H., Liu, Tong, Watters, Paul, Halgamuge, Malka N.
In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exponential projections of AI advancement toward Artificial General Intel
Externí odkaz:
http://arxiv.org/abs/2407.03652
Autor:
Arie, Asaf Ben, Gorfine, Malka
Deep learning models have significantly improved prediction accuracy in various fields, gaining recognition across numerous disciplines. Yet, an aspect of deep learning that remains insufficiently addressed is the assessment of prediction uncertainty
Externí odkaz:
http://arxiv.org/abs/2406.14009
In the realm of contemporary data analysis, the use of massive datasets has taken on heightened significance, albeit often entailing considerable demands on computational time and memory. While a multitude of existing works offer optimal subsampling
Externí odkaz:
http://arxiv.org/abs/2406.13836
Autor:
ZEUS Collaboration, Abt, I., Aggarwal, R., Aushev, V., Behnke, O., Bertolin, A., Bloch, I., Brock, I., Brook, N. H., Brugnera, R., Bruni, A., Bussey, P. J., Caldwell, A., Catterall, C. D., Chwastowski, J., Ciborowski, J., Ciesielski, R., Cooper-Sarkar, A. M., Corradi, M., Dementiev, R. K., Dusini, S., Ferrando, J., Foster, B., Gallo, E., Gangadharan, D., Garfagnini, A., Geiser, A., Grzelak, G., Gwenlan, C., Hochman, D., Jomhari, N. Z., Kadenko, I., Karshon, U., Kaur, P., Klanner, R., Klein, U., Korzhavina, I. A., Kovalchuk, N., Kuze, M., Levchenko, B. B., Levy, A., Löhr, B., Lohrmann, E., Longhin, A., Lorkowski, F., Lunghi, E., Makarenko, I., Malka, J., Masciocchi, S., Nagano, ^ K., Nam, J. D., Onishchuk, Yu., Paul, E., Pidhurskyi, I., Polini, A., Przybycień, M., Quintero, A., Ruspa, M., Schneekloth, U., Schörner-Sadenius, T., Selyuzhenkov, I., Shchedrolosiev, M., Shcheglova, L. M., Sherrill, N., Skillicorn, I. O., Słomiński, W., Solano, A., Stanco, L., Stefaniuk, N., Surrow, B., Tokushuku, K., Turkot, O., Tymieniecka, T., Verbytskyi, A., Abdullah, W. A. T. Wan, Wichmann, K., Wing, M., Yamada, S., Yamazaki, Y., Żarnecki, A. F., Zenaiev, O.
The azimuthal correlation angle, $\Delta\phi$, between the scattered lepton and the leading jet in deep inelastic $e^{\pm}p$ scattering at HERA has been studied using data collected with the ZEUS detector at a centre-of-mass energy of $\sqrt{s} = 318
Externí odkaz:
http://arxiv.org/abs/2406.01430
Many countries have established population-based biobanks, which are being used increasingly in epidemiolgical and clinical research. These biobanks offer opportunities for large-scale studies addressing questions beyond the scope of traditional clin
Externí odkaz:
http://arxiv.org/abs/2403.18464
Autor:
McIntosh, Timothy R., Susnjak, Teo, Liu, Tong, Watters, Paul, Nowrozy, Raza, Halgamuge, Malka N.
This study investigated the integration readiness of four predominant cybersecurity Governance, Risk and Compliance (GRC) frameworks - NIST CSF 2.0, COBIT 2019, ISO 27001:2022, and the latest ISO 42001:2023 - for the opportunities, risks, and regulat
Externí odkaz:
http://arxiv.org/abs/2402.15770
Autor:
McIntosh, Timothy R., Susnjak, Teo, Arachchilage, Nalin, Liu, Tong, Watters, Paul, Halgamuge, Malka N.
The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities has spurred public curiosity to evaluate and compare different LLMs, leading many researchers to propose their own LLM benchmarks. Noticing preliminary inadequaci
Externí odkaz:
http://arxiv.org/abs/2402.09880
Modern software engineering builds up on the composability of software components, that rely on more and more direct and transitive dependencies to build their functionalities. This principle of reusability however makes it harder to reproduce projec
Externí odkaz:
http://arxiv.org/abs/2402.00424