Zobrazeno 1 - 10
of 73
pro vyhledávání: '"DOMIJAN, KATARINA"'
Fitting areal models which use a spatial weights matrix to represent relationships between geographical units can be a cumbersome task, particularly when these units are not well-behaved. The two chief aims of sfislands are to simplify the process of
Externí odkaz:
http://arxiv.org/abs/2404.09863
Autor:
Domijan, Katarina
Publikováno v:
Chemometrics and Intelligent Laboratory Systems, Volume 241, 2023, 104936, ISSN 0169-7439
An empirical study was carried out to compare different implementations of ensemble models aimed at improving prediction in spectroscopic data. A wide range of candidate models were fitted to benchmark datasets from regression and classification sett
Externí odkaz:
http://arxiv.org/abs/2404.02184
Since 2015 video dimensionality has expanded to higher spatial and temporal resolutions and a wider colour gamut. This High Dynamic Range (HDR) content has gained traction in the consumer space as it delivers an enhanced quality of experience. At the
Externí odkaz:
http://arxiv.org/abs/2306.14432
Autor:
Frizzarin, Maria, Visentin, Giulio, Ferragina, Alessandro, Hayes, Elena, Bevilacqua, Antonio, Dhariyal, Bhaskar, Domijan, Katarina, Khan, Hussain, Ifrim, Georgiana, Nguyen, Thach Le, Meagher, Joe, Menchetti, Laura, Singh, Ashish, Whoriskey, Suzy, Williamson, Robert, Zappaterra, Martina, Casa, Alessandro
In April 2022, the Vistamilk SFI Research Centre organized the second edition of the "International Workshop on Spectroscopy and Chemometrics - Applications in Food and Agriculture". Within this event, a data challenge was organized among participant
Externí odkaz:
http://arxiv.org/abs/2210.04479
We propose a simple yet powerful extension of Bayesian Additive Regression Trees which we name Hierarchical Embedded BART (HE-BART). The model allows for random effects to be included at the terminal node level of a set of regression trees, making HE
Externí odkaz:
http://arxiv.org/abs/2204.07207
Autor:
Daly, Patrick, Nejad, Amin Shoari, Domijan, Katarina, McCaughey, Jamie W., Brassard, Caroline, Kathiravelu, Laavanya, Marques, Mateus, Sarti, Danilo, Parnell, Andrew C., Horton, Benjamin
Publikováno v:
In Progress in Disaster Science December 2024 24
Autor:
Frizzarin, Maria, Bevilacqua, Antonio, Dhariyal, Bhaskar, Domijan, Katarina, Ferraccioli, Federico, Hayes, Elena, Ifrim, Georgiana, Konkolewska, Agnieszka, Nguyen, Thach Le, Mbaka, Uche, Ranzato, Giovanna, Singh, Ashish, Stefanucci, Marco, Casa, Alessandro
Publikováno v:
Chemometrics and Intelligent Laboratory Systems, 2021, Volume 219, 104442
A chemometric data analysis challenge has been arranged during the first edition of the "International Workshop on Spectroscopy and Chemometrics", organized by the Vistamilk SFI Research Centre and held online in April 2021. The aim of the competitio
Externí odkaz:
http://arxiv.org/abs/2107.02906
Machine learning models fit complex algorithms to arbitrarily large datasets. These algorithms are well-known to be high on performance and low on interpretability. We use interactive visualization of slices of predictor space to address the interpre
Externí odkaz:
http://arxiv.org/abs/2101.06986
We develop a new approach for feature selection via gain penalization in tree-based models. First, we show that previous methods do not perform sufficient regularization and often exhibit sub-optimal out-of-sample performance, especially when correla
Externí odkaz:
http://arxiv.org/abs/2006.07515
Autor:
Domijan, Katarina
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 15 October 2023 241