-
Notifications
You must be signed in to change notification settings - Fork 21
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Creating 10.21105.joss.03115.crossref.xml
- Loading branch information
Showing
1 changed file
with
132 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,132 @@ | ||
<?xml version="1.0" encoding="UTF-8"?> | ||
<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" xmlns:rel="http://www.crossref.org/relations.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0" xsi:schemaLocation="http://www.crossref.org/schema/4.4.0 http://www.crossref.org/schemas/crossref4.4.0.xsd"> | ||
<head> | ||
<doi_batch_id>8ef29d2ab0e853bdb190e4d3b4a6985e</doi_batch_id> | ||
<timestamp>20210513135812</timestamp> | ||
<depositor> | ||
<depositor_name>JOSS Admin</depositor_name> | ||
<email_address>[email protected]</email_address> | ||
</depositor> | ||
<registrant>The Open Journal</registrant> | ||
</head> | ||
<body> | ||
<journal> | ||
<journal_metadata> | ||
<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
<doi_data> | ||
<doi>10.21105/joss</doi> | ||
<resource>https://joss.theoj.org</resource> | ||
</doi_data> | ||
</journal_metadata> | ||
<journal_issue> | ||
<publication_date media_type="online"> | ||
<month>05</month> | ||
<year>2021</year> | ||
</publication_date> | ||
<journal_volume> | ||
<volume>6</volume> | ||
</journal_volume> | ||
<issue>61</issue> | ||
</journal_issue> | ||
<journal_article publication_type="full_text"> | ||
<titles> | ||
<title>PyGModels: A Python package for exploring Probabilistic Graphical Models with Graph Theoretical Structures</title> | ||
</titles> | ||
<contributors> | ||
<person_name sequence="first" contributor_role="author"> | ||
<given_name>Doğu</given_name> | ||
<surname>Eraslan</surname> | ||
<ORCID>http://orcid.org/0000-0002-1552-8938</ORCID> | ||
</person_name> | ||
</contributors> | ||
<publication_date> | ||
<month>05</month> | ||
<day>13</day> | ||
<year>2021</year> | ||
</publication_date> | ||
<pages> | ||
<first_page>3115</first_page> | ||
</pages> | ||
<publisher_item> | ||
<identifier id_type="doi">10.21105/joss.03115</identifier> | ||
</publisher_item> | ||
<ai:program name="AccessIndicators"> | ||
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
</ai:program> | ||
<rel:program> | ||
<rel:related_item> | ||
<rel:description>Software archive</rel:description> | ||
<rel:inter_work_relation relationship-type="references" identifier-type="doi">“https://doi.org/10.5281/zenodo.4751740”</rel:inter_work_relation> | ||
</rel:related_item> | ||
<rel:related_item> | ||
<rel:description>GitHub review issue</rel:description> | ||
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/3115</rel:inter_work_relation> | ||
</rel:related_item> | ||
</rel:program> | ||
<doi_data> | ||
<doi>10.21105/joss.03115</doi> | ||
<resource>https://joss.theoj.org/papers/10.21105/joss.03115</resource> | ||
<collection property="text-mining"> | ||
<item> | ||
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.03115.pdf</resource> | ||
</item> | ||
</collection> | ||
</doi_data> | ||
<citation_list> | ||
<citation key="ref1"> | ||
<doi>10.25080/Majora-7b98e3ed-001</doi> | ||
</citation> | ||
<citation key="ref2"> | ||
<unstructured_citation>Mastering probabilistic graphical models using python: master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python, 978-1-78439-468-4, Ankan, Ankur and Panda, Abinash, 2015</unstructured_citation> | ||
</citation> | ||
<citation key="ref3"> | ||
<unstructured_citation>New York, Probabilistic networks and expert systems, http://accesbib.uqam.ca/cgi-bin/bduqam/transit.pl?&noMan=25126878, Springer-Verlag, Cowell, Robert G, 2005</unstructured_citation> | ||
</citation> | ||
<citation key="ref4"> | ||
<doi>10.2200/S00893ED2V01Y201901AIM041</doi> | ||
</citation> | ||
<citation key="ref5"> | ||
<unstructured_citation>Hamburg, 5, Graph Theory, 978-3-662-53621-6, Springer, Diestel, Reinhard, 2017</unstructured_citation> | ||
</citation> | ||
<citation key="ref6"> | ||
<doi>10.1007/978-3-319-73235-0</doi> | ||
</citation> | ||
<citation key="ref7"> | ||
<unstructured_citation>Cambridge, NY, 2nd ed, Graph algorithms, 978-0-521-51718-8, Cambridge University Press, Even, Shimon and Even, Guy, 2012</unstructured_citation> | ||
</citation> | ||
<citation key="ref8"> | ||
<unstructured_citation>pyGM, https://github.com/ihler/pyGM, Ihler, Alexander, 2020, oct, 10</unstructured_citation> | ||
</citation> | ||
<citation key="ref9"> | ||
<unstructured_citation>pgmPy, https://github.com/indapa/pgmPy, Indap, Amit, 2013, aug, 8</unstructured_citation> | ||
</citation> | ||
<citation key="ref10"> | ||
<unstructured_citation>Cambridge, MA, Adaptive computation and machine learning, Probabilistic graphical models: principles and techniques, 978-0-262-01319-2, MIT Press, Koller, Daphne and Friedman, Nir, 2009, Adaptive computation and machine learning</unstructured_citation> | ||
</citation> | ||
<citation key="ref11"> | ||
<unstructured_citation>Oxford : New York, Oxford statistical science series, Graphical models, 978-0-19-852219-5, Clarendon Press ; Oxford University Press, Lauritzen, Steffen L., 1996, Oxford statistical science series</unstructured_citation> | ||
</citation> | ||
<citation key="ref12"> | ||
<doi>10.1111/1467-9868.00340</doi> | ||
</citation> | ||
<citation key="ref13"> | ||
<unstructured_citation>pyfac, https://github.com/rdlester/pyfac, Lester, Ryan, 2016, may, 5</unstructured_citation> | ||
</citation> | ||
<citation key="ref14"> | ||
<unstructured_citation>pgm, https://github.com/paulorauber/pgm, Rauber, Paulo, 2019, mar, 3</unstructured_citation> | ||
</citation> | ||
<citation key="ref15"> | ||
<unstructured_citation>London Heidelberg New York Dordrecht, Advances in computer vision and pattern recognition, Probabilistic graphical models: principles and applications, 978-1-4471-6698-6, Springer, Sucar, Luis Enrique, 2015, Advances in computer vision and pattern recognition</unstructured_citation> | ||
</citation> | ||
<citation key="ref16"> | ||
<unstructured_citation>Pomegranate: fast and flexible probabilistic modeling in python, http://arxiv.org/abs/1711.00137, arXiv: 1711.00137, arXiv:1711.00137 [cs, stat], Schreiber, Jacob, 2018, feb, 2</unstructured_citation> | ||
</citation> | ||
</citation_list> | ||
</journal_article> | ||
</journal> | ||
</body> | ||
</doi_batch> |