Zobrazeno 1 - 10
of 6 208
pro vyhledávání: '"AXELSSON, P."'
Autor:
Spitale, Micol, Parreira, Maria Teresa, Stiber, Maia, Axelsson, Minja, Kara, Neval, Kankariya, Garima, Huang, Chien-Ming, Jung, Malte, Ju, Wendy, Gunes, Hatice
Despite the recent advancements in robotics and machine learning (ML), the deployment of autonomous robots in our everyday lives is still an open challenge. This is due to multiple reasons among which are their frequent mistakes, such as interrupting
Externí odkaz:
http://arxiv.org/abs/2407.06094
Autor:
Spitale, Micol, Axelsson, Minja, Jeong, Sooyeon, Tuttosı, Paige, Stamatis, Caitlin A., Laban, Guy, Lim, Angelica, Gunes, Hatice
Recent research in affective robots has recognized their potential in supporting human well-being. Due to rapidly developing affective and artificial intelligence technologies, this field of research has undergone explosive expansion and advancement
Externí odkaz:
http://arxiv.org/abs/2407.02957
We present a modified version of the PRESB preconditioner for two-by-two block system of linear equations with the coefficient matrix $$\textbf{A}=\left(\begin{array}{cc} F & -G^* G & F \end{array}\right),$$ where $F\in\mathbb{C}^{n\times n}$ is Herm
Externí odkaz:
http://arxiv.org/abs/2402.11184
Robotic coaches have been recently investigated to promote mental well-being in various contexts such as workplaces and homes. With the widespread use of Large Language Models (LLMs), HRI researchers are called to consider language appropriateness wh
Externí odkaz:
http://arxiv.org/abs/2401.14935
Robotic well-being coaches have been shown to successfully promote people's mental well-being. To provide successful coaching, a robotic coach should have the capability to repair the mistakes it makes. Past investigations of robot mistakes are limit
Externí odkaz:
http://arxiv.org/abs/2401.03794
Recently, several works have explored if and how robotic coaches can promote and maintain mental well-being in different settings. However, findings from these studies revealed that these robotic coaches are not ready to be used and deployed in real-
Externí odkaz:
http://arxiv.org/abs/2312.09740
Autor:
Axelsson, Agnes, Skantze, Gabriel
In any system that uses structured knowledge graph (KG) data as its underlying knowledge representation, KG-to-text generation is a useful tool for turning parts of the graph data into text that can be understood by humans. Recent work has shown that
Externí odkaz:
http://arxiv.org/abs/2307.07312
Autor:
Carl Magnusson, Johan Herlitz, Christer Axelsson, Robert Höglind, Elin Lökholm, Thea Hillberg Hörnfeldt, Agnes Olander, Joakim Björås, Magnus Andersson Hagiwara, Pär Wennberg
Publikováno v:
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 32, Iss 1, Pp 1-10 (2024)
Abstract Background Emergency medical services (EMS) personnel must rapidly assess and transport patients with time-sensitive conditions to optimise patient outcomes. Serum lactate, a valuable in-hospital biomarker, has become more accessible in EMS
Externí odkaz:
https://doaj.org/article/c9be44146d274901acfa65aac084b528
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-6 (2024)
Abstract Background Bone metastases can compromise the integrity of the spinal canal and cause epidural spinal cord compression (ESCC). The Spinal Instability Neoplastic Score (SINS) was developed in order to evaluate spinal instability due to a neop
Externí odkaz:
https://doaj.org/article/9f06fc2aa5284861beb3547303cbe132
Autor:
Giulia Gregori, Lisa Johansson, Kristian F. Axelsson, Raju Jaiswal, Henrik Litsne, Berit A. M. Larsson, Mattias Lorentzon
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 15, Iss 4, Pp 1511-1519 (2024)
Abstract Background Physical function is an important risk factor for fracture. Previous studies found that different physical tests (e.g., one‐leg standing [OLS] and timed up and go [TUG]) predict fracture risk. This study aimed to determine which
Externí odkaz:
https://doaj.org/article/0879227cc0d44b538dcbfea302c9da8c