Zobrazeno 1 - 10
of 483
pro vyhledávání: '"G Altmann"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 3 (2023)
A quantitative understanding of the dynamics of bee colonies is important to support global efforts to improve bee health and enhance pollination services. Traditional approaches focus either on theoretical models or data-centred statistical analyses
Externí odkaz:
https://doaj.org/article/370af0a686314c529a3aa074990fa836
Autor:
Charles C. Hyland, Yuanming Tao, Lamiae Azizi, Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann
Publikováno v:
EPJ Data Science, Vol 10, Iss 1, Pp 1-16 (2021)
Abstract We are interested in the widespread problem of clustering documents and finding topics in large collections of written documents in the presence of metadata and hyperlinks. To tackle the challenge of accounting for these different types of d
Externí odkaz:
https://doaj.org/article/4b9e5123e3de42f9a6295b26d8443f1d
Autor:
Benjamin Shade, Eduardo G. Altmann
Publikováno v:
Information, Vol 14, Iss 5, p 271 (2023)
Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering. In this paper, we compared the properties and
Externí odkaz:
https://doaj.org/article/1a98e6969f6746f5a72a5e423bd18a58
Publikováno v:
Physical Review X, Vol 12, Iss 2, p 021056 (2022)
Power-law distributions are widely used in computational and statistical investigations of extreme events and complex systems. The usual technique to generate power-law distributed data is to first infer the scale exponent α using the observed data
Externí odkaz:
https://doaj.org/article/c67c81100a7d44dd9f5e175b162f9f21
Autor:
Eduardo G Altmann
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243390 (2020)
Analyses of urban scaling laws assume that observations in different cities are independent of the existence of nearby cities. Here we introduce generative models and data-analysis methods that overcome this limitation by modelling explicitly the eff
Externí odkaz:
https://doaj.org/article/bb32d78fb0394eba806e4bfa6a29c8ac
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
Abstract Biologists have long sought a way to explain how statistical properties of genetic sequences emerged and are maintained through evolution. On the one hand, non-random structures at different scales indicate a complex genome organisation. On
Externí odkaz:
https://doaj.org/article/52eda29828df448cb4e46d0353448ae0
Publikováno v:
Physical Review Research, Vol 2, Iss 3, p 033477 (2020)
Genetic sequences are known to possess nontrivial composition together with symmetries in the frequencies of their components. Recently, it has been shown that symmetry and structure are hierarchically intertwined in DNA, suggesting a common origin f
Externí odkaz:
https://doaj.org/article/ebd4d2f21ab44f85ac3e23ff12df96e4
Publikováno v:
Royal Society Open Science, Vol 5, Iss 1 (2018)
We use an information-theoretic measure of linguistic similarity to investigate the organization and evolution of scientific fields. An analysis of almost 20 M papers from the past three decades reveals that the linguistic similarity is related but d
Externí odkaz:
https://doaj.org/article/c711170a1664484d89e871fa3c27e2c7
Akademický článek
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Publikováno v:
Integrated Environmental Assessment and Management. 17:1194-1202
The US Army Corps of Engineers (USACE) manages hundreds of reservoirs and thousands of miles of navigation channels that provide invaluable flood control, commercial transport of materials, water supply, recreation, and stream flow regulation. This c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::185b239a97cf97d655475dd83ad98566
https://doi.org/10.1002/ieam.4453
https://doi.org/10.1002/ieam.4453