Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Matej Mihelčić"'
Autor:
Matej Mihelčić, Goran Šimić, Mirjana Babić Leko, Nada Lavrač, Sašo Džeroski, Tomislav Šmuc, Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
PLoS ONE, Vol 12, Iss 10, p e0187364 (2017)
Based on a set of subjects and a collection of attributes obtained from the Alzheimer's Disease Neuroimaging Initiative database, we used redescription mining to find interpretable rules revealing associations between those determinants that provide
Externí odkaz:
https://doaj.org/article/13840de178d04508a5f586d8b7095a0f
Autor:
Matej Mihelčić
Redescription mining aims at finding subsets of instances that can be re-described, characterized in multiple ways, using one or more disjoint sets of attributes that describe some set of instances. Current redescription mining algorithms either work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ad10acd64904441947afd765bfb4f65
https://www.bib.irb.hr/1236446
https://www.bib.irb.hr/1236446
Autor:
Matej Mihelčić, Adrian Satja Kurdija
Redescription mining is an important data mining task with the main goals of discovering subsets of instances that can be characterized in multiple ways and constructing the appropriate characterizations. Such characterizations, presented in a form o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7bd79c70070ed77a50389f7d26c6329
https://www.bib.irb.hr/1243036
https://www.bib.irb.hr/1243036
Autor:
Matej Mihelčić, Tomislav Šmuc
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031236174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a52ae4fb248bfbb86dea5ea397a137e
https://doi.org/10.1007/978-3-031-23618-1_17
https://doi.org/10.1007/978-3-031-23618-1_17
Autor:
Mirjana Babić Leko, Matej Mihelčić, Jasna Jurasović, Matea Nikolac Perković, Ena Španić, Ankica Sekovanić, Tatjana Orct, Klara Zubčić, Lea Langer Horvat, Nikolina Pleić, Spomenka Kiđemet-Piskač, Željka Vogrinc, Nela Pivac, Andrea Diana, Fran Borovečki, Patrick R. Hof, Goran Šimić
Publikováno v:
International Journal of Molecular Sciences; Volume 24; Issue 1; Pages: 467
Various metals have been associated with the pathogenesis of Alzheimer’s disease (AD), principally heavy metals that are environmental pollutants (such as As, Cd, Hg, and Pb) and essential metals whose homeostasis is disturbed in AD (such as Cu, Fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d14f9b22d1a5fae89955c17115b4a43b
https://pubmed.ncbi.nlm.nih.gov/36613911
https://pubmed.ncbi.nlm.nih.gov/36613911
Autor:
Matej Mihelčić, Pauli Miettinen
Differential privacy provides a strong form of privacy and allows preserving most of the original characteristics of the dataset. Utilizing these benefits requires one to design specific differentially private data analysis algorithms. In this work,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::909b199aa28035f2d57d725fee6eeb5e
Autor:
Matej Mihelčić, Tomislav Šmuc
Publikováno v:
IEEE access
IEEE Access, Vol 9, Pp 19356-19378 (2021)
IEEE Access, Vol 9, Pp 19356-19378 (2021)
The task of redescription mining explores ways to re-describe different subsets of entities contained in a dataset and to reveal non-trivial associations between different subsets of attributes, called views. This interesting and challenging task is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f6c612b9035c106b4ffa2f09b525cc4
Publikováno v:
Journal of Intelligent Information Systems. 50:63-96
In this work, we present a redescription mining algorithm that uses Random Forest of Predictive Clustering Trees (RFPCTs) for generating and iteratively improving a set of redescriptions. The approach uses information about element membership in diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::139bbf70bc8692afd8e28770035ae731
https://doi.org/10.1007/s10844-017-0448-5
https://doi.org/10.1007/s10844-017-0448-5
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-16 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-16 (2019)
Genes with similar roles in the cell are known to cluster on chromosomes, thus benefiting from coordinated regulation. This allows gene function to be inferred by transferring annotations from genomic neighbors, following the guilt-by-association pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea324c8a263290bccb6716a75e58659e
https://doi.org/10.1038/s41598-019-55984-0
https://doi.org/10.1038/s41598-019-55984-0
Autor:
Matej Mihelčić, Tomislav Šmuc
One important problem occurring in redescription mining is a very large number of produced redescriptions. This makes analyses time consuming and generally difficult. We present the targeted and contextual redescription set exploration, realized thro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a695cd020f698dd1a58cdee1f4c7b86
https://doi.org/10.1007/s10994-018-5738-9
https://doi.org/10.1007/s10994-018-5738-9