Zobrazeno 1 - 10
of 966
pro vyhledávání: '"Boukouvalas, A."'
This paper introduces a novel penalty decomposition algorithm customized for addressing the non-differentiable and nonconvex problem of extended mean-variance-CVaR portfolio optimization with short-selling and cardinality constraints. The proposed al
Externí odkaz:
http://arxiv.org/abs/2404.00605
Autor:
Kikkisetti, Dhanush, Mustafa, Raza Ul, Melillo, Wendy, Corizzo, Roberto, Boukouvalas, Zois, Gill, Jeff, Japkowicz, Nathalie
Online hate speech proliferation has created a difficult problem for social media platforms. A particular challenge relates to the use of coded language by groups interested in both creating a sense of belonging for its users and evading detection. C
Externí odkaz:
http://arxiv.org/abs/2401.10841
Publikováno v:
In: Soares, C., Torgo, L. (eds) Discovery Science. DS 2021. Lecture Notes in Computer Science(), vol 12986. Springer, Cham
The spread of misinformation in social media outlets has become a prevalent societal problem and is the cause of many kinds of social unrest. Curtailing its prevalence is of great importance and machine learning has shown significant promise. However
Externí odkaz:
http://arxiv.org/abs/2304.11318
Gaussian Process (GP) models are a class of flexible non-parametric models that have rich representational power. By using a Gaussian process with additive structure, complex responses can be modelled whilst retaining interpretability. Previous work
Externí odkaz:
http://arxiv.org/abs/2206.09861
Autor:
Puerto, Monica, Kellett, Mason, Nikopoulou, Rodanthi, Fuge, Mark D., Doherty, Ruth, Chung, Peter W., Boukouvalas, Zois
As the amount and variety of energetics research increases, machine aware topic identification is necessary to streamline future research pipelines. The makeup of an automatic topic identification process consists of creating document representations
Externí odkaz:
http://arxiv.org/abs/2206.00773
Publikováno v:
Artificial Intelligence and Statistics, 2021
In the univariate setting, using the kernel spectral representation is an appealing approach for generating stationary covariance functions. However, performing the same task for multiple-output Gaussian processes is substantially more challenging. W
Externí odkaz:
http://arxiv.org/abs/2103.06950
Autor:
Boukouvalas, Zois, Mallinson, Christine, Crothers, Evan, Japkowicz, Nathalie, Piplai, Aritran, Mittal, Sudip, Joshi, Anupam, Adalı, Tülay
Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating social unrest, curtailing the spread of misinformation during such eve
Externí odkaz:
http://arxiv.org/abs/2006.01284
Publikováno v:
Chemical Engineering Transactions, Vol 105 (2023)
The coffee industry is raising environmental concerns around the world due to the high energy consumption and waste produced from processing coffee beans. The highest energy consumption is the roasting stage, which utilizes thermal energy from burnin
Externí odkaz:
https://doaj.org/article/9d714ae854f94280b79475d6b9bccdad
Autor:
Marakis, Georgios, Kotopoulou, Sotiria, Proestos, Charalampos, Skoulika, Stavroula, Boukouvalas, Georgios, Papaioannou, Andreas, Mousia, Zoe, Papadimitriou, Dimitra, Katri, Eleni-Maria, Naska, Androniki, Chourdakis, Michail, Zampelas, Antonis, Magriplis, Emmanuella
Publikováno v:
In The American Journal of Clinical Nutrition November 2023 118(5):1010-1019
Publikováno v:
AgriEngineering, Vol 5, Iss 1, Pp 395-412 (2023)
The canned fruits industry utilizes high amounts of water and energy, which results in the generation of vast quantities of wastewater and solid waste. The main scope of this study was to compare the environmental footprint of a canned fruits industr
Externí odkaz:
https://doaj.org/article/d68b218485fb45489f2073f22be646da