Zobrazeno 1 - 10
of 11 276
pro vyhledávání: '"Styliani A."'
Cooperative Distributed Model Predictive Control (DiMPC) architecture employs local MPC controllers to control different subsystems, exchanging information with each other through an iterative procedure to enhance overall control performance compared
Externí odkaz:
http://arxiv.org/abs/2411.14319
Autor:
Luisa Lazzaro
Publikováno v:
The International Journal of Screendance, Vol 13 (2022)
No abstract available.
Externí odkaz:
https://doaj.org/article/ece137f850034e8a8880b01cc5ea6b57
Autor:
Wang, Tianze, Honari-Jahromi, Maryam, Katsarou, Styliani, Mikheeva, Olga, Panagiotakopoulos, Theodoros, Smirnov, Oleg, Cao, Lele, Asadi, Sahar
This pilot study explores the application of language models (LMs) to model game event sequences, treating them as a customized natural language. We investigate a popular mobile game, transforming raw event data into textual sequences and pretraining
Externí odkaz:
http://arxiv.org/abs/2410.18605
Autor:
Attafi, Omar Abdelghani, Clementel, Damiano, Kyritsis, Konstantinos, Capriotti, Emidio, Farrell, Gavin, Fragkouli, Styliani-Christina, Castro, Leyla Jael, Hatos, András, Lenaerts, Tom, Mazurenko, Stanislav, Mozaffari, Soroush, Pradelli, Franco, Ruch, Patrick, Savojardo, Castrense, Turina, Paola, Zambelli, Federico, Piovesan, Damiano, Monzon, Alexander Miguel, Psomopoulos, Fotis, Tosatto, Silvio C. E.
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation and reproducibility of ML research by establishing standards for key aspects such as data handling an
Externí odkaz:
http://arxiv.org/abs/2408.07721
Autor:
Katsarou, Styliani, Carminati, Francesca, Dlask, Martin, Braojos, Marta, Patra, Lavena, Perkins, Richard, Ling, Carlos Garcia, Paskevich, Maria
A good understanding of player preferences is crucial for increasing content relevancy, especially in mobile games. This paper illustrates the use of attentive models for producing item recommendations in a mobile game scenario. The methodology compr
Externí odkaz:
http://arxiv.org/abs/2408.06799
Autor:
Fragkouli, Styliani-Christina, Solanki, Dhwani, Castro, Leyla J, Psomopoulos, Fotis E, Queralt-Rosinach, Núria, Cirillo, Davide, Crossman, Lisa C
Over the last three to five years, it has become possible to generate machine learning synthetic data for healthcare-related uses. However, concerns have been raised about potential negative factors associated with the possibilities of artificial dat
Externí odkaz:
http://arxiv.org/abs/2407.06211
Autor:
Kasinidou, Maria, Kleanthous, Styliani, Busso, Matteo, Rodas, Marcelo, Otterbacher, Jahna, Giunchiglia, Fausto
With the surge in data-centric AI and its increasing capabilities, AI applications have become a part of our everyday lives. However, misunderstandings regarding their capabilities, limitations, and associated advantages and disadvantages are widespr
Externí odkaz:
http://arxiv.org/abs/2406.11865
Autor:
Wang, Tianze, Honari-Jahromi, Maryam, Katsarou, Styliani, Mikheeva, Olga, Panagiotakopoulos, Theodoros, Asadi, Sahar, Smirnov, Oleg
Methods for learning latent user representations from historical behavior logs have gained traction for recommendation tasks in e-commerce, content streaming, and other settings. However, this area still remains relatively underexplored in video and
Externí odkaz:
http://arxiv.org/abs/2404.04234
Autor:
Rafailia, Alexiou, Georgia, Stamou, Styliani, Minoudi, Filio Tourli Valentina, Tsartsianidou, Alexandros, Triantafyllidis, Evangelia, Michaloudi
Publikováno v:
Zootaxa. 5116(4)
Publikováno v:
Mental Health and Social Inclusion, 2023, Vol. 28, Issue 5, pp. 821-829.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MHSI-09-2023-0099