Zobrazeno 1 - 10
of 730
pro vyhledávání: '"P. Gallos"'
Autor:
van Dijk, Bram, Islam, Saif ul, Achterberg, Jim, Waseem, Hafiz Muhammad, Gallos, Parisis, Epiphaniou, Gregory, Maple, Carsten, Haas, Marcel, Spruit, Marco
Data-driven technologies have improved the efficiency, reliability and effectiveness of healthcare services, but come with an increasing demand for data, which is challenging due to privacy-related constraints on sharing data in healthcare contexts.
Externí odkaz:
http://arxiv.org/abs/2409.00701
We propose MMLU-SR, a novel dataset designed to measure the true comprehension abilities of Large Language Models (LLMs) by challenging their performance in question-answering tasks with modified terms. We reasoned that an agent that "truly" understa
Externí odkaz:
http://arxiv.org/abs/2406.15468
Autor:
Xue, Leyang, Gao, Shengling, Gallos, Lazaros K., Levy, Orr, Gross, Bnaya, Di, Zengru, Havlin, Shlomo
K-core percolation is a fundamental dynamical process in complex networks with applications that span numerous real-world systems. Earlier studies focus primarily on random networks without spatial constraints and reveal intriguing mixed-order transi
Externí odkaz:
http://arxiv.org/abs/2311.13579
We propose a machine-learning approach to model long-term out-of-sample dynamics of brain activity from task-dependent fMRI data. Our approach is a three stage one. First, we exploit Diffusion maps (DMs) to discover a set of variables that parametriz
Externí odkaz:
http://arxiv.org/abs/2304.11925
Autor:
Leyang Xue, Shengling Gao, Lazaros K. Gallos, Orr Levy, Bnaya Gross, Zengru Di, Shlomo Havlin
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract K-core percolation is a fundamental dynamical process in complex networks with applications that span numerous real-world systems. Earlier studies focus primarily on random networks without spatial constraints and reveal intriguing mixed-ord
Externí odkaz:
https://doaj.org/article/86b7e2bed066475dbf578925f07a44d5
Autor:
Melina Tziomaka, Athanasios Kallipolitis, Andreas Menychtas, Parisis Gallos, Christos Panagopoulos, Alice Georgia Vassiliou, Edison Jahaj, Ioanna Dimopoulou, Anastasia Kotanidou, Ilias Maglogiannis
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1323-1342 (2024)
Apart from providing user-friendly applications that support digitized healthcare routines, the use of wearable devices has proven to increase the independence of patients in a healthcare setting. By applying machine learning techniques to real healt
Externí odkaz:
https://doaj.org/article/b14cf379feb24709a76d5d0111377a85
The COVID-19 pandemic has evolved over time through multiple spatial and temporal dynamics. The varying extent of interactions among different geographical areas can result to a complex pattern of spreading so that influences between these areas can
Externí odkaz:
http://arxiv.org/abs/2211.07476
Autor:
Petros Galanis, Aglaia Katsiroumpa, Ioannis Moisoglou, Maria Kalogeropoulou, Parisis Gallos, Irene Vraka
Publikováno v:
AIMS Public Health, Vol 11, Iss 2, Pp 601-613 (2024)
Background Emotional intelligence can improve nurses' interpersonal and coping skills, job performance, and resilience. However, there is a dearth in the literature on whether emotional intelligence affects levels of quiet quitting, turnover intentio
Externí odkaz:
https://doaj.org/article/6bb04059a8264e9894cd59b9170b7ce5
Autor:
Petros Galanis, Aglaia Katsiroumpa, Ioannis Moisoglou, Areti Nikiforou, Konstantinos Kothonas, Katerina Athanasopoulou, Parisis Gallos, Elias Panagiotopoulos
Publikováno v:
International Journal of Caring Sciences, Vol 17, Iss 1, Pp 553-559 (2024)
Effectiveness of an E-Learning Activity Regarding Research Methodology and Fragility Fractures in a Sample of Nurses: Evidence from Greece
Externí odkaz:
https://doaj.org/article/254a4a2ad5264cdc930f4749c6317eaf
Autor:
Aglaia Katsiroumpa, Ioannis Moisoglou, Olympia Konstantakopoulou, Elisavet Papasimakopoulou, Parisis Gallos, Maria Tsiachri and Petros Galanis
Publikováno v:
International Journal of Caring Sciences, Vol 17, Iss 1, Pp 26-32 (2024)
Moral Distress Thermometer: Translation and Validation in Greek
Externí odkaz:
https://doaj.org/article/13f8e4a919da4fe6a7ff483dc13968a4