6th OOPSLA Workshop on Domain-Specific Modeling (DSM'06) October 22, 2006, Portland, Oregon, USA
Date
2006Publisher
University of Jyväskylä, Department of Computer Science and Information SystemsISBN
951-39-2631-1ISSN Search the Publication Forum
1239-291XKeywords
Metadata
Show full item recordCollections
- Elektroniset kirjat [569]
License
Related items
Showing items with similar title or keywords.
-
Towards a meta-method for the engineering of situational evaluation methods for domain-specific modeling tools
Peltoniemi, Ari (2015)Sovellusaluemallinnus (Domain-Specific Modeling, DSM) on eräs ohjelmistotuotannon lähestymistavoista, jossa sovelluskehityksen abstraktiotasoa nostetaan ohjelmoinnista sovellusaluekeskeiseen mallinnukseen. DSM mahdollistaa ... -
Domain‐specific neural networks improve automated bird sound recognition already with small amount of local data
Lauha, Patrik; Somervuo, Panu; Lehikoinen, Petteri; Geres, Lisa; Richter, Tobias; Seibold, Sebastian; Ovaskainen, Otso (Wiley-Blackwell, 2022)An automatic bird sound recognition system is a useful tool for collecting data of different bird species for ecological analysis. Together with autonomous recording units (ARUs), such a system provides a possibility to ... -
Predicting domain-specific actions in expert table tennis players activates the semantic brain network
Wang, Yingying; Lu, Yingzhi; Deng, Yuqin; Gu, Nan; Parviainen, Tiina; Zhou, Chenglin (Elsevier, 2019)Motor expertise acquired during long-term training in sports enables top athletes to predict the outcomes of domain-specific actions better than nonexperts do. However, whether expert players encode actions, in addition ... -
Domain-specific risk and public policy
Kanninen, Ohto; Böckerman, Petri; Suoniemi, Ilpo (Palkansaajien tutkimuslaitos, 2018)We develop a method to estimate domain-specific risk. We apply the method to sickness insurance by fitting a utility function at the individual level, using European survey data on life satisfaction. Three results stand ... -
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer
Petäinen, Liisa; Väyrynen, Juha P.; Ruusuvuori, Pekka; Pölönen, Ilkka; Äyrämö, Sami; Kuopio, Teijo (Public Library of Science (PLoS), 2023)Tumor-stroma ratio (TSR) is a prognostic factor for many types of solid tumors. In this study, we propose a method for automated estimation of TSR from histopathological images of colorectal cancer. The method is based on ...