Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Roberto Souto Maior de Barros"'
This work's main goal is to understand if Information Flow Control (IFC), a security technique used for discovering leaks in software, could be used to indicate the presence of dynamic semantic conflicts between developers contributions in merge scen
Externí odkaz:
http://arxiv.org/abs/2404.08619
Publikováno v:
Knowledge and Information Systems. 65:1787-1816
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54772bbbdce204474851a0af3e3da9d5
https://doi.org/10.1007/s10115-022-01817-y
https://doi.org/10.1007/s10115-022-01817-y
Autor:
Juan Isidro González Hidalgo, Silas Garrido Teixeira de Carvalho Santos, Roberto Souto Maior de Barros
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 16:1-20
A data stream can be defined as a system that continually generates a lot of data over time. Today, processing data streams requires new demands and challenging tasks in the data mining and machine learning areas. Concept Drift is a problem commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6d10e0da0fefda7c69222c31c80fa72
https://doi.org/10.1145/3466616
https://doi.org/10.1145/3466616
Autor:
Roberto Souto Maior de Barros, Bruno Iran Ferreira Maciel, Silas Garrido Teixeira de Carvalho Santos
Publikováno v:
Software: Practice and Experience. 50:325-334
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::979ee127263865fd3e0e41b934e00628
https://doi.org/10.1002/spe.2795
https://doi.org/10.1002/spe.2795
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da2d59623670e482e5e5499fca1584c4
https://doi.org/10.1109/ssci50451.2021.9660047
https://doi.org/10.1109/ssci50451.2021.9660047
Publikováno v:
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ed49f362001b15077250c9529f3df0c
https://doi.org/10.1109/smc52423.2021.9658598
https://doi.org/10.1109/smc52423.2021.9658598
Publikováno v:
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f28d37722afe1ce122eeca3fcd1b311
https://doi.org/10.1109/smc52423.2021.9659127
https://doi.org/10.1109/smc52423.2021.9659127
Publikováno v:
IJCNN
In streaming environments, concept drift is a common problem and identifying whether it is occurring is of utmost importance. Most of the published drift detection methods work based on the results of a base classifier, for example, by using the clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e512eb918d87e958c696ad9c810a9f6
https://doi.org/10.1109/ijcnn52387.2021.9534387
https://doi.org/10.1109/ijcnn52387.2021.9534387
Publikováno v:
Computational Intelligence. 35:670-692
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::598eb94232871d5c2c974fcca48a5b32
https://doi.org/10.1111/coin.12208
https://doi.org/10.1111/coin.12208
Publikováno v:
Artificial Intelligence Review. 53:1293-1322
Boosting is a technique forged to transform a set of weak classifiers into a strong ensemble. To achieve this, the components are trained with different data samples and the hypotheses are aggregated in order to perform a better prediction. The use o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa4fdc1f5411310d6ee257e8cc11b1b7
https://doi.org/10.1007/s10462-019-09696-6
https://doi.org/10.1007/s10462-019-09696-6