Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lynn Pickering"'
Autor:
Baptiste Courcier, Samuel Richard-Desjardins, Christophe Farges, Franck Cazaurang, Lynn Pickering, Javier Viaña Perez, Kelly Cohen
Publikováno v:
Applications of Fuzzy Techniques ISBN: 9783031160370
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bdb2d17c2b8dfbb3cbc6743c777f9b0
https://doi.org/10.1007/978-3-031-16038-7_4
https://doi.org/10.1007/978-3-031-16038-7_4
Autor:
Lynn Pickering, Kelly Cohen
Publikováno v:
Applications of Fuzzy Techniques ISBN: 9783031160370
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27c5a42089d686bcdd965b72dd199eed
https://doi.org/10.1007/978-3-031-16038-7_20
https://doi.org/10.1007/978-3-031-16038-7_20
Autor:
Lynn Pickering, Kelly Cohen
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030815608
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dd1deab2fcbf0cfa5e31767e7f2d11c
https://doi.org/10.1007/978-3-030-81561-5_26
https://doi.org/10.1007/978-3-030-81561-5_26
Autor:
Lynn Pickering, Kelly Cohen
Publikováno v:
Explainable AI and Other Applications of Fuzzy Techniques ISBN: 9783030820985
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7edde8aa628085299ca9a3c57bd28813
https://doi.org/10.1007/978-3-030-82099-2_31
https://doi.org/10.1007/978-3-030-82099-2_31
Publikováno v:
2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI)
During the spread of an infectious disease such as COVID-19, the identification of human factors that affect the spread is a really important area of research. These factors directly impact the spread of such a disease and are important in identifyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d0bdee8864eabc8c6d582c38bc9683e
Publikováno v:
2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI)
Many machine learning methods are being developed to predict the spread of COVID - 19. This paper focuses on the expansion of inputs that may be considered in these models. A correlation matrix is used to identify those variables with the highest cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f320a3af234cbcce1e909d0a66e3f4ff
https://doi.org/10.1109/iscmi51676.2020.9311583
https://doi.org/10.1109/iscmi51676.2020.9311583