Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tomaž Hočevar"'
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-20 (2023)
Abstract What kind of questions about human mobility can computational analysis help answer? How to translate the findings into anthropology? We analyzed a publicly available data set of road traffic counters in Slovenia to answer these questions. Th
Externí odkaz:
https://doaj.org/article/7b9f9fb7eaab4173897c452a46698fad
Publikováno v:
Journal of Statistical Software, Vol 98, Iss 1 (2021)
Conformal predictors estimate the reliability of outcomes made by supervised machine learning models. Instead of a point value, conformal prediction defines an outcome region that meets a user-specified reliability threshold. Provided that the data a
Externí odkaz:
https://doaj.org/article/efcf25d2125f4c8a835c9275e9c9f1aa
Autor:
Tomaž Hočevar, Janez Demšar
Publikováno v:
Journal of Statistical Software, Vol 71, Iss 1, Pp 1-24 (2016)
Graphlet analysis is a useful tool for describing local network topology around individual nodes or edges. A node or an edge can be described by a vector containing the counts of different kinds of graphlets (small induced subgraphs) in which it appe
Externí odkaz:
https://doaj.org/article/38d3b41f37084593b3a0aa95ecda0d3e
Autor:
Tomaž Hočevar, Janez Demšar
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0171428 (2017)
Graphlet analysis is an approach to network analysis that is particularly popular in bioinformatics. We show how to set up a system of linear equations that relate the orbit counts and can be used in an algorithm that is significantly faster than the
Externí odkaz:
https://doaj.org/article/d2b9ff9968df482f8e6eb8421c821379
Publikováno v:
Zbornik konference »Turizem 4.0 in znanost«.
Podatki o prometu nam lahko pomagajo odgovoriti na več vprašanj o mobilnosti ljudi. Opaženi vzorci razkrivajo, kako narod vozi, kaj počne med tednom in med konci tedna ter kako se navade ljudi spreminjajo čez leto. Tovrstne informacije nam pomag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb454c5777a8d1c29217c611ec2f21d
https://doi.org/10.18690/978-961-286-515-3.8
https://doi.org/10.18690/978-961-286-515-3.8
Autor:
Janez Demšar, Tomaž Hočevar
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 2, p e0171428 (2017)
PLoS ONE, Vol 12, Iss 2, p e0171428 (2017)
Graphlet analysis is an approach to network analysis that is particularly popular in bioinformatics. We show how to set up a system of linear equations that relate the orbit counts and can be used in an algorithm that is significantly faster than the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4e76a5b3580fcaf401a243ff2302f9
http://europepmc.org/articles/PMC5300269
http://europepmc.org/articles/PMC5300269
Autor:
Janez Demšar, Tomaž Hočevar
Publikováno v:
Journal of Statistical Software; Vol 71 (2016); 1-24
Journal of Statistical Software, Vol 71, Iss 1, Pp 1-24 (2016)
Journal of Statistical Software, Vol 71, Iss 1, Pp 1-24 (2016)
Graphlet analysis is a useful tool for describing local network topology around individual nodes or edges. A node or an edge can be described by a vector containing the counts of different kinds of graphlets (small induced subgraphs) in which it appe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a08a3f019d007144582cbe9279ae23b
https://www.jstatsoft.org/index.php/jss/article/view/v071i10
https://www.jstatsoft.org/index.php/jss/article/view/v071i10