Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mitchell Joblin"'
Autor:
Florin Ratajczak, Mitchell Joblin, Marcel Hildebrandt, Martin Ringsquandl, Pascal Falter-Braun, Matthias Heinig
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Understanding phenotype-to-genotype relationships is a grand challenge of 21st century biology with translational implications. The recently proposed “omnigenic” model postulates that effects of genetic variation on traits are mediated b
Externí odkaz:
https://doaj.org/article/d6aa5587ed6547739383db192188e560
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-19 (2022)
Abstract Background Drug repurposing aims at finding new targets for already developed drugs. It becomes more relevant as the cost of discovering new drugs steadily increases. To find new potential targets for a drug, an abundance of methods and exis
Externí odkaz:
https://doaj.org/article/bc47291f086341fd8c36f1644c2cdecd
Publikováno v:
ACM Transactions on Software Engineering and Methodology. 32:1-29
Despite the absence of a formal process and a central command-and-control structure, developer organization in open-source software (OSS) projects are far from being a purely random process. Prior work indicates that, over time, highly successful OSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb0738b4553451ec2cf795fa76cb2e19
https://doi.org/10.1145/3569949
https://doi.org/10.1145/3569949
Autor:
Mitchell Joblin, Sven Apel, Wolfgang Mauerer, Carlos Paradis, Rick Kazman, Damian A. Tamburri
Publikováno v:
IEEE Transactions on Software Engineering. 48:3159-3184
We report on a large-scale empirical study investigating the relevance of socio-technical congruence over key basic software quality metrics, namely, bugs and churn. In particular, we explore whether alignment or misalignment of social communication
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e2b32234b19a8cd53febefdc4a857d3
https://doi.org/10.1109/tse.2021.3082074
https://doi.org/10.1109/tse.2021.3082074
Autor:
Mitchell Joblin, Sven Apel
Publikováno v:
ACM Transactions on Software Engineering and Methodology. 31:1-24
Software development is at the intersection of the social realm , involving people who develop the software, and the technical realm , involving artifacts (code, docs, etc.) that are being produced. It has been shown that a socio-technical perspectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c46eb61ad9079b069f0d89de9f43bb0f
https://doi.org/10.1145/3504003
https://doi.org/10.1145/3504003
Publikováno v:
ACM Transactions on Software Engineering and Methodology.
Many open-source software (OSS) projects are self-organized and do not maintain official lists with information on developer roles. So, knowing which developers take core and maintainer roles is, despite being relevant, often tacit knowledge. We prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bf4db1b8da5eae3d28c227ed8a5c4d4
https://doi.org/10.1145/3593803
https://doi.org/10.1145/3593803
Autor:
Florin Ratajczak, Mitchell Joblin, Marcel Hildebrandt, Martin Ringsquandl, Pascal Falter-Braun, Matthias Heinig
Understanding phenotype-to-genotype relationships is a grand challenge of 21st century biology with translational implications. The recently proposed “omnigenic” model postulates that effects of genetic variation on traits are mediated bycore-gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcd750f03407e4f86885a97887e7bf83
https://doi.org/10.1101/2023.01.13.523556
https://doi.org/10.1101/2023.01.13.523556
Model transformations play a fundamental role in model-driven software development. They can be used to solve or support central tasks, such as creating models, handling model co-evolution, and model merging. In the past, various (semi-)automatic app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::726d94232a2104bd6f39e1568bb51fc0
https://doi.org/10.21203/rs.3.rs-1558716/v1
https://doi.org/10.21203/rs.3.rs-1558716/v1
Graphs can model real-world, complex systems by representing entities and their interactions in terms of nodes and edges. To better exploit the graph structure, graph neural networks have been developed, which learn entity and edge embeddings for tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::572286960f6cdc2aad5e37a20316d42e
Conventional static knowledge graphs model entities in relational data as nodes, connected by edges of specific relation types. However, information and knowledge evolve continuously, and temporal dynamics emerge, which are expected to influence futu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30438a39fd61eaf795a903e10d3fad73
http://arxiv.org/abs/2112.08025
http://arxiv.org/abs/2112.08025