Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Luís Torgo"'
Autor:
Mafalda S. Baptista, Charles K. Lee, Maria R. Monteiro, Luís Torgo, S. Craig Cary, Catarina Magalhães
Publikováno v:
Environmental Microbiome, Vol 19, Iss 1, Pp 1-13 (2024)
Abstract Background Isolating the effects of deterministic variables (e.g., physicochemical conditions) on soil microbial communities from those of neutral processes (e.g., dispersal) remains a major challenge in microbial ecology. In this study, we
Externí odkaz:
https://doaj.org/article/8fa343f14c8947068aee0c90cd7741ee
Autor:
Francisco Pascoal, Inês Areosa, Luís Torgo, Paula Branco, Mafalda S. Baptista, Charles K. Lee, S. Craig Cary, Catarina Magalhães
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Antarctic deserts, such as the McMurdo Dry Valleys (MDV), represent extremely cold and dry environments. Consequently, MDV are suitable for studying the environment limits on the cycling of key elements that are necessary for life, like nitrogen. The
Externí odkaz:
https://doaj.org/article/35bae0fe75704421b17f88d257491aa2
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2988 (2021)
The negative impact of false information on social networks is rapidly growing. Current research on the topic focused on the detection of fake news in a particular context or event (such as elections) or using data from a short period of time. Theref
Externí odkaz:
https://doaj.org/article/01a7984f65744068a6f891df26d94ed9
Publikováno v:
Mathematics, Vol 9, Iss 6, p 691 (2021)
The increasing use of sensor networks has led to an ever larger number of available spatiotemporal datasets. Forecasting applications using this type of data are frequently motivated by important domains such as environmental monitoring. Being able t
Externí odkaz:
https://doaj.org/article/19a7eeccd77c4c7f971166ca8c2b3dfb
Autor:
Maria Monteiro, Mafalda S. Baptista, Joana Séneca, Luís Torgo, Charles K. Lee, S. Craig Cary, Catarina Magalhães
Publikováno v:
Microorganisms, Vol 8, Iss 3, p 404 (2020)
Polar ecosystems are generally limited in nitrogen (N) nutrients, and the patchy availability of N is partly determined by biological pathways, such as nitrification, which are carried out by distinctive prokaryotic functional groups. The activity an
Externí odkaz:
https://doaj.org/article/4f45a7b9c79745af95f2f26b327cecc2
This work aims to develop a computationally inexpensive approach, based on machine learning techniques, to accurately predict thousands of stellar rotation periods. The innovation in our approach is the use of the XGBoost algorithm to predict the rot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0b3aab5604ba9bf447c9bac0b8ce20b
http://arxiv.org/abs/2305.02407
http://arxiv.org/abs/2305.02407
Publikováno v:
DSAA
Extreme and rare events, such as abnormal spikes in air pollution or weather conditions can have serious repercussions. Many of these sorts of events develop from spatio-temporal processes, and accurate predictions are a most valuable tool in address
Publikováno v:
GeoInformatica. 25:269-289
Trajectory mining aims to provide fundamental insights into decision-making tasks related to moving objects. A fundamental pre-processing step for trajectory mining is trajectory segmentation, where a raw trajectory is divided into several meaningful
Publikováno v:
DSAA
Active learning strategies are used to acquire an enlarged labelled training set that allows the learner to achieve a better performance. To this end, unlabelled instances are carefully selected for labelling by an human expert in order to achieve th
Publikováno v:
The 7th International conference on Time Series and Forecasting.
Forecasting often involves multiple time-series that are hierarchically organized (e.g., sales by geography). In that case, there is a constraint that the bottom level forecasts add-up to the aggregated ones. Common approaches use traditional forecas