Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Shafiee Kamalabad, Mahdi"'
Autor:
Ahmadi Yazdi, Ahmad1 (AUTHOR) a.ahmadiyazdi@yazd.ac.ir, Shafiee Kamalabad, Mahdi2,3 (AUTHOR), Oberski, Daniel L.2,4 (AUTHOR), Grzegorczyk, Marco5 (AUTHOR)
Publikováno v:
Quality Technology & Quantitative Management. May2024, Vol. 21 Issue 3, p386-421. 36p.
Publikováno v:
In Informatics in Medicine Unlocked 2024 50
Publikováno v:
In Social Networks July 2023 74:166-181
Autor:
Shafiee Kamalabad, Mahdi1,2 (AUTHOR), Grzegorczyk, Marco3 (AUTHOR) m.a.gzegorczyk@rug.nl
Publikováno v:
BMC Bioinformatics. 4/26/2021 Supplement 2, Vol. 22, p1-24. 24p.
Autor:
Shafiee Kamalabad, Mahdi1, Grzegorczyk, Marco1 m.a.grzegorczyk@rug.nl
Publikováno v:
Statistica Neerlandica. Aug2018, Vol. 72 Issue 3, p281-305. 25p. 6 Diagrams, 1 Chart, 5 Graphs.
Autor:
Shafiee Kamalabad, Mahdi, Grzegorczyk, Marco, Raposo, Maria, Ribeiro, Paulo, Sério, Susana, Staiano, Antonino, Ciaramella, Angelo
Publikováno v:
Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6–8, 2018, Revised Selected Papers, 139-152
STARTPAGE=139;ENDPAGE=152;TITLE=Computational Intelligence Methods for Bioinformatics and Biostatistics
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783030345846
CIBB
STARTPAGE=139;ENDPAGE=152;TITLE=Computational Intelligence Methods for Bioinformatics and Biostatistics
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783030345846
CIBB
We propose a new non-homogeneous dynamic Bayesian network with partially segment-wise sequentially coupled network parameters. The idea is to infer the segmentation of a time series of network data using multiple changepoint processes, and to model t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::585557649b86247040f8cb4b79d9b4ff
https://www.springer.com/de/book/9783030345846
https://www.springer.com/de/book/9783030345846
Autor:
Shafiee Kamalabad, Mahdi
Non-homogeneous dynamic Bayesian network models (NH-DBNs) have become popular statistical tools for analyzing time series data in order to infer the relationships between units from the data. We consider those models where a set of changepoints is em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::5511abd30330ebfb4276fad157589625
https://research.rug.nl/en/publications/72e06091-27fd-4bfc-9f8f-2b7a444ab4dc
https://research.rug.nl/en/publications/72e06091-27fd-4bfc-9f8f-2b7a444ab4dc
Publikováno v:
Computational Statistics; Mar2017, Vol. 32 Issue 1, p1-33, 33p
Autor:
Shafiee Kamalabad M; Bernoulli Institute, Department of Mathematics, Faculty of Science and Engineering, Groningen University, Groningen 9747 AG, The Netherlands., Grzegorczyk M; Bernoulli Institute, Department of Mathematics, Faculty of Science and Engineering, Groningen University, Groningen 9747 AG, The Netherlands.
Publikováno v:
Bioinformatics (Oxford, England) [Bioinformatics] 2020 Feb 15; Vol. 36 (4), pp. 1198-1207.
Autor:
Shafiee Kamalabad M; Department of Mathematics, Bernoulli Institute, Faculty of Science and Engineering, University of Groningen, AG Groningen, The Netherlands., Heberle AM; Laboratory of Pediatrics, Section Systems Medicine of Metabolism and Signaling, University of Groningen, University Medical Center Groningen, AV Groningen, The Netherlands., Thedieck K; Laboratory of Pediatrics, Section Systems Medicine of Metabolism and Signaling, University of Groningen, University Medical Center Groningen, AV Groningen, The Netherlands.; Department for Neuroscience, School of Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany., Grzegorczyk M; Department of Mathematics, Bernoulli Institute, Faculty of Science and Engineering, University of Groningen, AG Groningen, The Netherlands.
Publikováno v:
Bioinformatics (Oxford, England) [Bioinformatics] 2019 Jun 01; Vol. 35 (12), pp. 2108-2117.