Zobrazeno 1 - 10
of 487
pro vyhledávání: '"Rafailidis P"'
The Complementarity Determining Region (CDR) structure prediction of loops in antibody engineering has gained a lot of attraction by researchers. When designing antibodies, a main challenge is to predict the CDR structure of the H3 loop. Compared wit
Externí odkaz:
http://arxiv.org/abs/2306.13045
In this study, we present a meta-learning model to adapt the predictions of the network's capacity between viewers who participate in a live video streaming event. We propose the MELANIE model, where an event is formulated as a Markov Decision Proces
Externí odkaz:
http://arxiv.org/abs/2111.09412
Accounting for the fact that users have different sequential patterns, the main drawback of state-of-the-art recommendation strategies is that a fixed sequence length of user-item interactions is required as input to train the models. This might limi
Externí odkaz:
http://arxiv.org/abs/2108.01442
In this paper we present a deep graph reinforcement learning model to predict and improve the user experience during a live video streaming event, orchestrated by an agent/tracker. We first formulate the user experience prediction problem as a classi
Externí odkaz:
http://arxiv.org/abs/2107.13619
Nowadays, live video streaming events have become a mainstay in viewer's communication in large international enterprises. Provided that viewers are distributed worldwide, the main challenge resides on how to schedule the optimal event's time so as t
Externí odkaz:
http://arxiv.org/abs/2106.10305
Autor:
Vasileios Michas, Mehdi Taghipour, Angeliki Papachristodoulou, Maria Sidiropoulou, Sasan Partovi, Demosthenes Cokkinos, Vasileios Rafailidis, Sameer Gadani, Amanjit Gill, Hans Michell, Panos Prassopoulos
Publikováno v:
Ultrasonography, Vol 42, Iss 4, Pp 490-507 (2023)
The evolution of ultrasound (US) techniques has greatly improved the evaluation of many parameters in dialysis vascular access, which is typically achieved through an arteriovenous fistula (AVF) or graft (AVG). These techniques include grayscale B-mo
Externí odkaz:
https://doaj.org/article/f4bb935940894f4fa721619c5c761e53
Deep learning has proved an effective means to capture the non-linear associations of user preferences. However, the main drawback of existing deep learning architectures is that they follow a fixed recommendation strategy, ignoring users' real time-
Externí odkaz:
http://arxiv.org/abs/2012.00743
In this study, we present a dynamic graph representation learning model on weighted graphs to accurately predict the network capacity of connections between viewers in a live video streaming event. We propose EGAD, a neural network architecture to ca
Externí odkaz:
http://arxiv.org/abs/2011.05705
Live video streaming has become a mainstay as a standard communication solution for several enterprises worldwide. To efficiently stream high-quality live video content to a large amount of offices, companies employ distributed video streaming soluti
Externí odkaz:
http://arxiv.org/abs/2011.05671
Dynamic graph representation learning strategies are based on different neural architectures to capture the graph evolution over time. However, the underlying neural architectures require a large amount of parameters to train and suffer from high onl
Externí odkaz:
http://arxiv.org/abs/2011.05664