Zobrazeno 1 - 10
of 1 474
pro vyhledávání: '"Tsakalidis A"'
Dynamic representation learning plays a pivotal role in understanding the evolution of linguistic content over time. On this front both context and time dynamics as well as their interplay are of prime importance. Current approaches model context via
Externí odkaz:
http://arxiv.org/abs/2408.15689
Autor:
Kosmidis C, Sapalidis K, Tsakalidis A, Atmatzidis S, Michalopoulos N, Koimtzis G, Karayannopoulou G, Lypiridou S, Varsamis N, Kouklakis G, Baka S, Zarogoulidis P, Kesisoglou I
Publikováno v:
International Journal of General Medicine, Vol Volume 12, Pp 121-124 (2019)
Christopher Kosmidis,1,2 Konstantinos Sapalidis,1 Alexandros Tsakalidis,1 Stefanos Atmatzidis,1 Nikolaos Michalopoulos,1 Georgios Koimtzis,1 Georgia Karayannopoulou,3 Sofia Lypiridou,3 Nikolaos Varsamis,2 Georgios Kouklakis,2 Sofia Baka,2 Paul Zarogo
Externí odkaz:
https://doaj.org/article/8418c70b7d3d401596085620fe4324c5
Autor:
Kosmidis C, Koimtzis G, Giannakidis D, Tteralli N, Mantalovas S, Tsakalidis A, Tsopouridou K, Atmatzidis S, Liavas L, Zarogoulidis P
Publikováno v:
International Medical Case Reports Journal, Vol Volume 12, Pp 15-20 (2019)
Christoforos Kosmidis,1 Georgios Koimtzis,1 Dimitrios Giannakidis,1 Nikos Tteralli,1 Stylianos Mantalovas,1 Alexandros Tsakalidis,1 Konstantina Tsopouridou,1 Stefanos Atmatzidis,1 Lazaros Liavas,1 Paul Zarogoulidis2 13rd Department of Surgery, “AHE
Externí odkaz:
https://doaj.org/article/df7fe5975ff64e45a11af99ced135a25
Nowadays, the use of synthetic data has gained popularity as a cost-efficient strategy for enhancing data augmentation for improving machine learning models performance as well as addressing concerns related to sensitive data privacy. Therefore, the
Externí odkaz:
http://arxiv.org/abs/2404.08866
We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines, appropriate for mental health monitoring. The summaries combine two d
Externí odkaz:
http://arxiv.org/abs/2401.16240
Autor:
Tseriotou, Talia, Chan, Ryan Sze-Yin, Tsakalidis, Adam, Bilal, Iman Munire, Kochkina, Elena, Lyons, Terry, Liakata, Maria
We present an open-source, pip installable toolkit, Sig-Networks, the first of its kind for longitudinal language modelling. A central focus is the incorporation of Signature-based Neural Network models, which have recently shown success in temporal
Externí odkaz:
http://arxiv.org/abs/2312.03523
The use of spontaneous language to derive appropriate digital markers has become an emergent, promising and non-intrusive method to diagnose and monitor dementia. Here we propose methods to capture language coherence as a cost-effective, human-interp
Externí odkaz:
http://arxiv.org/abs/2310.09623
Publikováno v:
Spatium, Vol 2015, Iss 33, Pp 41-46 (2015)
A combination of factors including an unattractive public transport offering a low level of service, the lack of parking facilities, an inadequate drivers’ education and poor policing have led to illegal parking phenomena in many Greek cities, c
Externí odkaz:
https://doaj.org/article/f54d3a33c5f84b88a88cd1285a3ee37f
There is increasing interest to work with user generated content in social media, especially textual posts over time. Currently there is no consistent way of segmenting user posts into timelines in a meaningful way that improves the quality and cost
Externí odkaz:
http://arxiv.org/abs/2303.05891
Autor:
Cristina Oana Mǎrginean, Lorena Elena Meliţ, Anca Meda Vǎsieşiu, Andrea Anzanello, Celeste Antão, Aelita Bredelyte, Christos Tsakalidis, Radu Lupescu, Leonard Azamfirei
Publikováno v:
Frontiers in Education, Vol 9 (2024)
The medical world carries a major burden in terms of specialized human resource and infrastructure. The recent COVID-19 pandemics revealed an urgent need for specialized medical professionals in order to preempt future natural disasters. The aim of t
Externí odkaz:
https://doaj.org/article/0b7d54251fdd48179fc3270ffcd673ed