Zobrazeno 1 - 10
of 2 511
pro vyhledávání: '"A. Barbón"'
Autor:
D. Panariti, B.J. Bayard, A. Barbon, Y.E. Kandrashkin, P.K. Poddutoori, A. van der Est, M. Di Valentin
Publikováno v:
Journal of Magnetic Resonance Open, Vol 21, Iss , Pp 100169- (2024)
Photoexcited triplet states of porphyrins are of great relevance in various applications due to their high yield, long lifetime, and strong electron spin polarization. This study delves into properties and spin dynamics of the triplet state of a seri
Externí odkaz:
https://doaj.org/article/1cc1ff82539a49ecbfbfee4b5f9fcd57
The Problem-oriented AutoML in Clustering (PoAC) framework introduces a novel, flexible approach to automating clustering tasks by addressing the shortcomings of traditional AutoML solutions. Conventional methods often rely on predefined internal Clu
Externí odkaz:
http://arxiv.org/abs/2409.16218
Autor:
Junior, Sylvio Barbon, Ceravolo, Paolo, Groppe, Sven, Jarrar, Mustafa, Maghool, Samira, Sèdes, Florence, Sahri, Soror, Van Keulen, Maurice
A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like fluency a
Externí odkaz:
http://arxiv.org/abs/2406.06596
Understanding the decisions of tree-based ensembles and their relationships is pivotal for machine learning model interpretation. Recent attempts to mitigate the human-in-the-loop interpretation challenge have explored the extraction of the decision
Externí odkaz:
http://arxiv.org/abs/2404.02942
Machine learning models are routinely integrated into process mining pipelines to carry out tasks like data transformation, noise reduction, anomaly detection, classification, and prediction. Often, the design of such models is based on some ad-hoc a
Externí odkaz:
http://arxiv.org/abs/2306.10341
Process simulation is gaining attention for its ability to assess potential performance improvements and risks associated with business process changes. The existing literature presents various techniques, generally grounded in process models discove
Externí odkaz:
http://arxiv.org/abs/2303.17879
Autor:
Barbon, Andrea, Ranaldo, Angelo
By investigating nonfungible tokens (NFTs), we provide the first systematic study of retail investor behavior through asset bubbles. Given that NFTs are recorded in public blockchains, we are able to track investor behavior over time, leading to the
Externí odkaz:
http://arxiv.org/abs/2303.06051
Encoding methods are employed across several process mining tasks, including predictive process monitoring, anomalous case detection, trace clustering, etc. These methods are usually performed as preprocessing steps and are responsible for transformi
Externí odkaz:
http://arxiv.org/abs/2301.02167
Autor:
Panariti, D., Bayard, B.J., Barbon, A., Kandrashkin, Y.E., Poddutoori, P.K., van der Est, A., Di Valentin, M.
Publikováno v:
In Journal of Magnetic Resonance Open December 2024 21
Autor:
da Silva Ferreira, Marcus Vinicius, Barbon Junior, Sylvio, Turrisi da Costa, Victor G., Barbin, Douglas Fernandes, Lucena Barbosa Jr, José
Publikováno v:
In Scientia Horticulturae 1 December 2024 338