Zobrazeno 1 - 10
of 6 987
pro vyhledávání: '"P, Hellström"'
Autor:
Henriksson, Erik, Myntti, Amanda, Eskelinen, Anni, Erten-Johansson, Selcen, Hellström, Saara, Laippala, Veronika
This article explores deep learning models for the automatic identification of registers - text varieties such as news reports and discussion forums - in web-based datasets across 16 languages. Identifying web registers, or genres, is crucial for und
Externí odkaz:
http://arxiv.org/abs/2406.19892
The paper reports an empirical study of the effect of human treatment of a robot on the social perception of the robot's behavior. The study employed an enacted interaction between an anthropomorphic "waiter" robot and two customers. The robot and on
Externí odkaz:
http://arxiv.org/abs/2406.17641
This paper investigates over-the-air computation (AirComp) over multiple-access time-varying channels, where devices with high mobility transmit their sensing data to a fusion center (FC) for averaging. To combat the Doppler shift induced by time-var
Externí odkaz:
http://arxiv.org/abs/2405.07040
Autor:
Hellström, Lucas, Giersz, Mirosław, Hypki, Arkadiusz, Belloni, Diogo, Askar, Abbas, Wiktorowicz, Grzegorz
Publikováno v:
A&A 690, A112 (2024)
There could be a significant population of double white dwarf binaries (DWDs) inside globular clusters (GCs), however, these are often too faint to be individually observed. We have utilized a large number GC models evolved with the Monte Carlo Clust
Externí odkaz:
http://arxiv.org/abs/2405.04314
The safe integration of machine learning modules in decision-making processes hinges on their ability to quantify uncertainty. A popular technique to achieve this goal is conformal prediction (CP), which transforms an arbitrary base predictor into a
Externí odkaz:
http://arxiv.org/abs/2401.11810
Autor:
Veronika Golubinskaya, Holger Nilsson, Halfdan Rydbeck, William Hellström, Gunnel Hellgren, Ann Hellström, Karin Sävman, Carina Mallard
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Cytokines and growth factors (GF) have been implicated in the development of retinopathy of prematurity (ROP) and bronchopulmonary dysplasia (BPD). We hypothesize that even small coordinated changes in inflammatory proteins or GFs
Externí odkaz:
https://doaj.org/article/16a2225650aa4fb2861fd6660705ccbe
Autor:
Hellström, Fredrik, Guedj, Benjamin
We derive generic information-theoretic and PAC-Bayesian generalization bounds involving an arbitrary convex comparator function, which measures the discrepancy between the training and population loss. The bounds hold under the assumption that the c
Externí odkaz:
http://arxiv.org/abs/2310.10534
Autor:
Viviers, Christiaan, Ramaekers, Mark, Valiuddin, Amaan, Hellström, Terese, Tasios, Nick, van der Ven, John, Jacobs, Igor, Ewals, Lotte, Nederend, Joost, de With, Peter, Luyer, Misha, van der Sommen, Fons
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with limited treatment options. This research proposes a workflow and deep learning-based segmentation models to automatically assess tumor-vessel involvement, a key factor in dete
Externí odkaz:
http://arxiv.org/abs/2310.00639
Over-the-air computation (OAC) is a promising wireless communication method for aggregating data from many devices in dense wireless networks. The fundamental idea of OAC is to exploit signal superposition to compute functions of multiple simultaneou
Externí odkaz:
http://arxiv.org/abs/2309.16033
A fundamental question in theoretical machine learning is generalization. Over the past decades, the PAC-Bayesian approach has been established as a flexible framework to address the generalization capabilities of machine learning algorithms, and des
Externí odkaz:
http://arxiv.org/abs/2309.04381