Zobrazeno 1 - 10
of 28 406
pro vyhledávání: '"Dell A."'
Social scientists and the general public often analyze contemporary events by drawing parallels with the past, a process complicated by the vast, noisy, and unstructured nature of historical texts. For example, hundreds of millions of page scans from
Externí odkaz:
http://arxiv.org/abs/2406.15593
Massive-scale historical document collections are crucial for social science research. Despite increasing digitization, these documents typically lack unique cross-document identifiers for individuals mentioned within the texts, as well as individual
Externí odkaz:
http://arxiv.org/abs/2406.15576
In the U.S. historically, local newspapers drew their content largely from newswires like the Associated Press. Historians argue that newswires played a pivotal role in creating a national identity and shared understanding of the world, but there is
Externí odkaz:
http://arxiv.org/abs/2406.09490
In today's interconnected world, achieving reliable out-of-distribution (OOD) detection poses a significant challenge for machine learning models. While numerous studies have introduced improved approaches for multi-class OOD detection tasks, the inv
Externí odkaz:
http://arxiv.org/abs/2405.04759
Clone-censor-weighting (CCW) is an analytic method for studying treatment regimens that are indistinguishable from one another at baseline without relying on landmark dates or creating immortal person time. One particularly interesting CCW applicatio
Externí odkaz:
http://arxiv.org/abs/2404.15073
The growing capabilities of AI raise questions about their trustworthiness in healthcare, particularly due to opaque decision-making and limited data availability. This paper proposes a novel approach to address these challenges, introducing a Bayesi
Externí odkaz:
http://arxiv.org/abs/2404.10483
Predicting legal judgments with reliable confidence is paramount for responsible legal AI applications. While transformer-based deep neural networks (DNNs) like BERT have demonstrated promise in legal tasks, accurately assessing their prediction conf
Externí odkaz:
http://arxiv.org/abs/2404.10481
Publikováno v:
ACM Conference on Human Factors in Computing Systems (CHI2024)
This paper presents Saharaline, an intervention designed to provide collective social support for teachers in low-income schools. Implemented as a WhatsApp-based helpline, Saharaline enables teachers to reach out for personalized, long-term assistanc
Externí odkaz:
http://arxiv.org/abs/2402.14292
Autor:
Upadhyaya, S., Mazurek, K., Kozik, T., Gruyer, D., Casini, G., Piantelli, S., Baldesi, L., Barlini, S., Borderie, B., Bougault, R., Camaiani, A., Ciampi, C., Cicerchia, M., Ciemala, M., Aquila, D. Dell, Duenas, J. A., Fable, Q., Frankland, J. D., Gramegna, F., Henri, M., Hong, B., Kordyasz, A., Kweon, M. J., Neindre, N. Le, Lombardo, I., Lopez, O., Marchi, T., Nam, S. H., Park, J., Parlog, M., Pasquali, G., Valdre, S., Verde, G., Vient, E., Vigilante, M.
The emission of the pre-equilibrium particles during nuclear collisions at moderate beam energies is still an open question. This influences the properties of the compound nucleus but also changes the interpretation of the quasi-fission process. A sy
Externí odkaz:
http://arxiv.org/abs/2402.09289
Autor:
Alvarez, Javier Rodriguez, Labarta, Amilcar, Idrobo, Juan Carlos, Anna, Rossana Dell, Cian, Alessandro, Giubertoni, Damiano, Borrise, Xavier, Guerrero, Albert, Murano, Francesc Perez, Rodriguez, Arantxa Fraile, Batlle, Xavier
Publikováno v:
ACS Nano 17 (2023) 8123
Plasmonic lattice nanostructures are of technological interest because of their capacity to manipulate light below the diffraction limit. Here, we present a detailed study of dark and bright modes in the visible and near-infrared energy regime of an
Externí odkaz:
http://arxiv.org/abs/2401.12702